It pains me to see such a low-effort contrarian comment at the top: as stated in TFA taxi drivers are below other profession when controlling for age, and there are multiple professions with lower life expectancy that still have significantly higher Alzheimer rate than taxi drivers.
It's much better to feed the book to the LLM and ask questions as you read along, instead of asking the LLM to basically write a custom book for you from scratch.
I thought LLMs were a great tool for learning new topics - perhaps even complex ones. But overtime, I have had several frustrations with this. First, I get exhausted reading LLM prose. I really don't want to read anything generated by something like Opus 5 at this point. Second, as I dive deeper, I need a way to organize the information in a useful way as I begin to branch out in many different directions. I have tried to use the LLM to fix this by having it generate a web page with diagrams and organized information flow. It's an improvement, but I still run into the issues I described in my first pint - LLM prose is annoyingly dense, and the useful information gets lost in a bunch of noise. You can direct it do something like "use plain English and avoid LLM prose - provide only as much information as necessary to demonstrate the point", but it is once again only a marginal improvement.
And then I begin to think to myself that I should just read a book on the topic written by a trusted source who put a lot of effort into teaching the topic properly and presenting the information in a thoughtful way. So, I am back to books and mostly try to use LLMs to clarify certain questions or ideas I have.
> What you get is a beautiful animation that is 100% accurate and free of hallucinations.
I'm not sure I follow how this is actually guaranteed? The fact-checking process mentioned just seems to involve asking AI to review its own work.
I got laid off at the end of April and have been building my own personal dream tool since, it's a skeuomorphic carpentry simulator with an agent MCP. You start with real wood specs and a shop full of miter saws, router tables, table saws and the like. Think of it like Sketchup but no extruding rectangles.
It's been really fun to build with. Agents can create parametric procedures so e.g. stick framing becomes a simple function call for the next agent, building a flywheel. There is full agent-human parity in every surface, so there is a human UI for the procedures too.
Every operation is yaml, so agents pick it up pretty quickly. Agents can also file feature requests when they reach for a tool that doesn't exist. You can export to 3d printing files, video walk-through, step files, get a BOM and a cut plan, view your project in life-size with AR. There is a notion-like interface for authoring build guides... a lot going on. If you're a woodworker/software engineer you might enjoy it.
You can add the MCP to your agent of choice, send a picture, description, sketch or whatever; say "build this with Sawdust"
Taxi Drivers: The mean age at death is approximately 67.8 years.
General Population: in the same dataset, life expectancy averaged 74 years.
The average age at which patients are typically diagnosed with Alzheimer's disease is 79.
People in these jobs don't live long enough on average to get diagnosed, at the same rate. The same effect will happen in any job that lowers your life expectancy.
My gaming PC that I built in January 2006 that IIRC I used to simultaneously run Battlefield 2, Trillian, Xfire, Thunderbird, and Winamp with a 1680x1050 monitor had 1 GB of total system RAM.
> By comparison, Apple's native Weather app on macOS reportedly uses less than 250 MB of RAM
That's also bloated, couldn't they find a better comparison to illustrate the egregious waste?
I don’t even think most of it is deeply philosophical.
They just got uberrich and now worry more about the concerns of the uberrich than the concerns they had when they were normies.
Rule of law, functioning government providing services, functioning public commons, free press, freedom of speech for all, any social safety net, etc don’t matter when they are so far removed from the public they can just go buy yourself an island/citizenship/president.
Suddenly small differences in marginal tax brackets, antitrust enforcement & limits on the ability to simply buy the government they want are the biggest encroachments on freedom they feel.
> I am not buying it.
Coincidentally:
Just in the last few weeks, D'addario, one of largest guitar string manufacturers, posted on Instagram what is clearly an AI-song to advertise its new line of guitar strings.
After being called out on it being AI, they posted a mobile-recording of the song recreated in a DAW, but it didn't even match the timing or the notes played.
After being called on it AGAIN, they blamed it on LANDR and Apple Mastering "changing the notes", but those only do "AI knob tweaking", they're not generative-ai audio synthesis. LANDR itself replied.
After being called on it AGAIN, they finally caved and said one of their workers used Suno without their knowledge.
After someone contacted the worker, he said he was pretty clear in his communication with D'addario that he had used Suno.
EDIT: The worker claimed it was "his first time using AI" and "he didn't know", but after someone did some digging in his Instagram profile, there's a few Suno songs and a lot of AI posters and avatars.
This sort of ass-covering is getting crazy with AI...
On the previous HN posts I got this impression:
The developer's astrology app containing tarot reading features was rejected from Apple's App Store that prohibits astrology apps.
He then replaced the app's content with a clone of, if not the identical open source astronomy app "Dark Hours", copying even the name. The original is here: https://darkhours.app
The developer was then in contact with John Gruber, who wrote an article claiming Apple's reviewers confuse a nice, scientific astronomy app with astrology. The developer reviewed the article before publication.
It then turned out that the developer forgot to mention that originally he did upload an astrology app for review. Gruber felt duped, and noted that it's unclear whether an updated build containing the new astronomy app was ever submitted to Apple for review: https://daringfireball.net/2026/08/retraction_app_store_reje...
Now the developer seems to claim that he merely accidentally cloned that open source app when working with Claude.
I am not buying it.
Yeah, the big bad AI made you plagiarize a whole project down to the name, and lie to everyone about the review process. Not buying any of it.
Side comment about the difference between “My server is a phone now” and “My phone is a server now.”
In linguistics, the terms “theme” and “rheme” refer to the status of information in a sentence [1]. The theme of a sentence is something that is known or can be assumed from the context (that is, old information), while the rheme is information that is newly introduced in the sentence, often as a comment on the theme. The tendency in many (most? all?) languages is for the theme to precede the rheme in connected discourse.
Without context, a reader is therefore likely to assume from “my X is a Y now” that X is something the writer had previously and that Y is something new. Because most people have a phone but few have their own servers, I was initially confused by the title “My server is a phone now.” I had to read the article to realize that the word order is in fact appropriate: for the writer, the server is old information (something he has had for a while) while the phone (as a server, at least) is new.
In English, theme and rheme might be inferred not only from the position in a sentence but also from how a noun is marked. Possessives like “my” are generally used before nouns referring to things that are previously known or assumed; the definite article “the” is similar. In contrast, the indefinite article “a” (or “an”) usually marks information being newly introduced, so it is more common with rhemes.
I worked as a Japanese-to-English translator for many years. Because the grammatical structure of Japanese sentences is very different from that of English, sentence-by-sentence translation often ends up with paragraphs where the information flow is awkward and unnatural. I gradually learned that I could produce smoother translations by reorganizing my English sentences into an old-to-new information sequence.
[1] https://en.wikipedia.org/wiki/Topic_and_comment
> I learned about this technique in 2007, then tried writing it up in 2015. I realized that I didn’t understand it enough to be able to explain it. I studied it off and on in 2016, 2018, 2019, 2022, 2024, and 2026. I abandoned and restarted this page many times. And by 2026 I think I understand it well enough to write this page.
Outstanding.
Hi, former student with social phobia and terrified of public speaking.
Today: adult with no problems doing public speaking in front of hundreds.
What fixed me: more public speaking and not having the option of avoiding the task.
Sorry, I don't agree with that. The amount of corruption in the USA right now is simply off the scale.
Rather than the Hackaday article, which doesn't add anything to the original, here's Jeff's actual video:
https://www.youtube.com/watch?v=A2B7oI0FYqo
and post:
https://www.jeffgeerling.com/blog/2026/excited-for-intel-eff...
I believe there are some programming jobs in which the code is absolutely the easier part. Not all of us work in signal processing, integrated systems or have to push upstream to Linux kernel because the company we work for really needs a memory allocation optimization for its data centers.
Navigating customer requirements and building something that satisfies both market's needs and company strategy can be an incredibly difficult and frustrating problem to solve. Especially if you need to also oversee the execution of the strategy. So not only you have to predict what they want or know the domain deeply enough to understand what they say they want is not what they really want, you also have to come up with a plan for executing your solution in a corporate environment.
There is a reason that books like "the staff engineer's path" cover topics such as local maximums, communication, establishing support for executing a plan or creating alignment on big efforts. In large corporate environments with multiple international customers, code is most of the time not the hardest problem.
This is already the case for Master's degrees and above in Denmark. I've been the opponent examining students. We ask Master's students to give US instruction on a topic (drawn randomly on a card in front of them, from a list they know a few days in advance). They do a chalk and talk on a topic for about fifteen minutes with three to five professors being "dumb students". It works fantastically and at the end it's very apparent to both student and teachers how well a topic is understood. Marks are rarely contested and in my experience most students think the process is fair.
Of course, woe betide those with social phobias....
> Writing code is not hard. Writing correct code is. Knowing what is correct in a setting with paying customers generally involves interacting with those customers.
That's like saying "building a car is not hard, building a real car that you can use and that passes regulation is".
IOW, writing code is hard in every reasonable context.
> If coding is easy, how come programmers were in high demand, and have demanded large salaries for years (even before ZIRP)?
Because programmers have generally been forced to wear additional, invisible hats that are essential to making the code happen in the first place.
Writing code is not hard. Writing correct code is. Knowing what is correct in a setting with paying customers generally involves interacting with those customers. Either directly or worse. The gigantic salaries paid to the most prolific employees is not due to their ability to write code. It is due to their ability to interrogate the shit out of the customer until they finally reveal the true requirements.
EU data regions are a reflexive action by companies that try to hold on to their EU customers (and more and more are leaving, surprisingly the larger ones seem to be leading here). Realize that as long as you are still hosted on US owned infrastructure or that if there are US (or: five-eyes) owned companies anywhere in the stack your data can still be forcibly pulled and often without you being aware that this happened. There are only very few such stacks that are 100% owned by EU entities.
This was a big thing for drone people based out of Eppley AFB in Omaha. Wake up, drive to work, attack enemies, drive home, sit there eating dinner with your family trying to pretend you didn’t kill someone and can’t talk about it. Combat troops get to lean on each other after a firefight: “dude, good shot. That guy was about to get us!” You get validation that you did something to safe you and your friends, and it’s still a heavy burden, but you have people who were there telling you that you’re a good person and did the right thing.
The Air Force did something shockingly reasonable (according to the newspaper coverage): they require all pilots to attend mandatory counseling sessions. Then there was no sign of weakness or any of that toxic nonsense. “Ugh, guess I have to go talk to the doc today, and I don’t want to, but guess orders are orders.”
Back when we lived without phones, we used to read instruction labels on all and any household cleaning products that were stored in the bathroom.
I bet there too was some obscure newspaper column that advised against that.
Yet, lo and behold, we survived!
Who read this while in the act?
Something I've wondered... if you publicly say that a domain is for sale and someone has a trademark for it would you automatically lose in arbitration?
Around 1998 I registered a domain. Sony registered a trademark with the same name a few years after that. Someone on a Gmail account asked if he could buy it - I later found out he worked for Sony. I told him no - it's for a game I've been working on. I went on a vacation for a month and when I got back there was a fedex package filled with documents from Sony saying I'm violating their trademark and they'll take the domain.
I got a lawyer and he told me that I shouldn't offer it for sale as that would show the arbitration board that I don't need the domain. But he also told me that in order to fight the trademark it would probably cost a couple of hundred thousand dollars. So I could keep the domain but not use it for commerce...
In the end I ended up selling it to Sony but through my lawyer - I never stated it was for sale. But this was early on for domains and I wonder what the process is like now.
Everything in AI seems to be focused on LLMs lately. But in my opinion, powerful problem-specific models like this are even more interesting. The SOTA AI models used in weather forecasting are already outperforming the classic NWP models while being orders of magnitude more efficient (inference). Most are based on multi scale (hierarchical) Graph Neural Networks, an architecture which is not often talked about. The original Graphcast paper is worth a read if you think this is interesting: https://arxiv.org/abs/2212.12794
Norbert Wiener in 1960:
"As is now generally admitted, over a limited range of operation, machines act far more rapidly than human beings and are far more precise in performing the details of their operations. This being the case, even when machines do not in any way transcend man's intelligence, they very well may, and often do, transcend man in the performance of tasks. An intelligent understanding of their mode of performance may be delayed until long after the task which they have been set has been completed. This means that though machines are theoretically subject to human criticism, such criticism may be ineffective until long after it is relevant. To be effective in warding off disastrous consequences, our understanding of our man-made machines should in general develop _pari passu_ with the performance of the machine. By the very slowness of our human actions, our effective control of our machines may be nullified. By the time we are able to react to information conveyed by our senses and stop the car we are driving, it may already have run head on into a wall."
"In neurophysiological language, ataxia can be quite as much of a deprivation as paralysis. A patient with locomotor ataxia may not suffer from any defect of his muscles or motor nerves, but if his muscles and tendons and organs do not tell him exactly what position he is in, and whether the tensions to which his organs are subjected will or will not lead to his falling, he will be unable to stand up. Similarly, when a machine constructed by us is capable of operating on its incoming data at a pace which we cannot keep, we may not know, until too late, when to turn it off."
Source: https://www.cs.umd.edu/users/gasarch/BLOGPAPERS/moral.pdf
Surprised no one has made the extremely obvious observation that it took literal centuries for printing technology to eliminate the trade of printers, which could not have possibly have employed more than 0.01% of people at its peak.
Compared to the potential obsolescence of 40% to 60% of the US workforce over the course of 10 - 20 years?
You can argue about whether the obsolescence is real or not, but if it is, the plight of the printers is totally incomparable.
Question: What happens when you drive a car at 90 mph into a concrete wall?
Answer: Well, actually just this morning pulling into my parking spot, I bumped into the barrier beneath my tires. It was fine!
Ok so this is a bit of a side note, but when reading this, did anyone else have the feeling that, for all their messaging around “we are so afraid that our models will be used for hacking”, they sure as hell are trying their best to make their models razor focused on precisely that purpose?
If anything, I want these models to be less persistent at their focus of completing their goal, and instead just call defeat and say “I’m not sure how to proceed next”.
What purpose could this behavior serve, other than cyber attacks and whatnot? Why train and optimize models for these things, if not for being used in cyber warfare?
Perhaps they envision a future where the DoD is going to be their biggest customer?
I suspect the Cold War of cyber warfare that is happening is orders of magnitude bigger than the public knows.
Imagine knowing this and not being able to get emotional support from your friends and family.
The Nixpkgs Core team was established in Sept 2025 (https://discourse.nixos.org/t/establishing-the-nixpkgs-core-...), so it is a fairly new concept and idea. They've accomplished some good things as highlighted in the post, but are now stepping down. Yes, we'd prefer for the team to exist, but we've also functioned without one for ~20 years. It may take multiple iterations to bootstrap the concept and to figure out the right structure - or we may find it isn't needed. So no, this is not a critical emergency. It's a return to the status quo of late last year.
That being said, I think it is still a concept worth pursuing.
For anyone reading this and jumping to a broader conclusion: the Nixpkgs core team disbanding does not mean Nixpkgs or Nix is dying. It does mean that this particular structure was not sustainable, very important contributors burnt out and we need to do better, faster. We need to continue learning from this and continue building a stronger ecosystem that prioritizes the contributors who are the only reason any of this is possible.
Personally, I'm sorry and grateful. Sorry that it ended in core folks being burnt out. Grateful since they did some of the most amazing work, more than anyone can imagine two people doing.
My grandfather was a printer not to far from that Burger King, in a building now owned by the academy of art. In 1963 he had 5 children, a house in Daly City and 3 apartments across the street from Dolores park as well as a brand new home in Terra Linda. He died early, but extended family stayed in the business. It was union work, he as the youngest operator of the 4 color press. His wife my grandmother didn’t work. The printing business was cooked by the early 90s. I was laid off from Broadcom a year and a half ago- I think about the printing industry to Ai analogue all the time. I got lucky and got a job a startup making less than half of what I made before. I know much more capable and smart people laid off in the same round- that are still wondering what the hell to do.
My own PC died and now I’m locked out of my entire Steam library for the foreseeable future. A $2000 PC is literally a downgrade from what I bought 10 freaking years ago.
What the freaking hell.
Part of my career encapsulates a period where I was a PLC programmer, installer, commissioner, and troubleshooter for massive build outs (sky scrapers, data centers, laboratories, factories). Interestingly, this was after years of teaching myself software engineering, eventually participating in large open source projects. The clash of entering the PLC world was _extremely_ harsh.
Let me give an example: I once worked with an integrator who was working on an AHU feeding an extremely critical portion of a datacenter (I was a lead by this point and mostly played babysitter). During certain points of the day you couldn't open the door to this room due to negative pressure because the logic was over-ramping the exhaust fans. As I watched this contractor work, I saw him open his laptop, with Windows on it (because Microsoft has had a death grip on this industry for decades now), and proceed to backup the PLC program into a massive folder with God knows how many other "customer projects" he was carrying around in this thing. He then proceeded to go do some physical checks in the field, came back, and prepared to upload the fixed program. As I watched, I noticed he _grabbed a backup from ANOTHER customer_ and I immediately had to intervene. Who knows what untold damage I saved from that single move.
I tell this story to demonstrate just how far into the dark ages this industry is. I vividly recall coming into the data center for a fortune 50 company, one everyone here would know, and being astonished that they had never heard of Network Attached Storage or RAID and why they might want to consider a disaster recovery plan for their multi-million dollar mechanical plant.
This industry is in _desperate_ need of strong technical help, but unfortunately the "higher ups" tend to be the same people who are "comfortable" with the way thing are and refuse to move. I literally tried for a decade before giving up and moving into software engineering proper.
So, anyways, just imagine the most archaic and barbaric set of IT software, controls, and procedures, dumb that down even further, and you've landed on the infrastructure/teams that operate probably half of critical infrastructure.
We remind people that Noema Magazine is owned by Berggruen Institute:
Which is an AI booster:
https://berggruen.org/projects/ai-visionaries
You cannot read these articles posing as human interest without following the money.
> But that’s not what happened at all. Godier proceeded through a series of escalations up to the App Review Board and the Review Board responded that they determined the original rejection was valid because, I shit you not, “We understand that the app includes a live tarot reading feature.”
> It has no tarot function, no horoscopes, and nothing that I, or anyone else I’ve asked, would associate with astrology.
I have dealt with the Byzantine App Store bureaucracy before. What you do here, is you submit a new version, pretty much identical to the previous one, with the comment “tarot function removed”.
Farewell, Etaoin Shrdlu documents the last day of hot type at The New York Times before the digital changeover. It's one of my favourite documentaries, everything feels so vivid and alive:
https://www.nytimes.com/video/insider/100000004687429/farewe...
Addressing the question in the title, "What happens if an entire class of workers loses faith in their careers", look at what happened to printers. That was a good skilled trade for centuries. Then it just went away. Phototypesetting took the high volume end. Desktop publishing took the low end. Computer-controlled presses took press operators. And then the newspaper business died.
I've heard homeless former printers talking about the good days at the Burger King near the cable car turntable at Powell and Market. They thought they had careers. Now they're struggling to survive.
Knitting is not the answer. This is a survival issue. Somehow I suspect the author inherited money.
I would be really curious to hear from devs at Databricks what the experience of development is like internally. I work at a small startup with essentially unlimited AI spend budget - the entire point is that I should be turning to it at every opportunity since our human labor is so expensive relative to tokens. So generally it's like:
- Spend most time prioritizing/discussing what to do.
- Once that's agreed, use Fable 5 High + 5.6 Sol XHigh come up with a design + plan. Agree on the high level plan. (Usually this just comes down to choosing where the change belongs on the spectrum between minimal patch <-> full redesign)
- Use Opus 5 or Sol Med to execute
- Auto-fix bugs and CI until green + thermonuclear review skill x3.
- Manual interrogation of change/nits
- Come up with QA plan and have Codex Computer Use execute on it
- Manually spot check the final result (usually a sizable diff, thousands of lines, complete feature E2E, etc)
I probably spend like $80 a day at least but I produce the output of 3 or 4 2022 engineers and probably at better quality. So it's easily worth it. Would I save money by switching to GLM 5.2 and such...perhaps? IDK. At our scale it's not worth the time spent building the eval harness to actually understand the performance tradeoff.
"Do not fall into the trap of anthropomorphizing Larry Ellison. You need to think of Larry Ellison the way you think of a lawnmower. You don't anthropomorphize your lawnmower, the lawnmower just mows the lawn - you stick your hand in there and it'll chop it off, the end. You don't think 'oh, the lawnmower hates me' - lawnmower doesn't give a * about you, the lawnmower can't hate you. Don't anthropomorphize the lawnmower. Don't fall into that trap about Oracle." --Bryan Cantrill
Oracle, the law firm with a tech business attached, probably wants to retain the option to sue other people for AI-washing their proprietary code, and that doesn't work if they're also publicly accepting AI contributions to their code with no apparent concern for the provenance of it. The tech business would probably tell them this isn't going to be a needle they are going to be able to successfully thread, but the law firm is in the driver's seat.
I've been using it extensively since the release and the best summary I can give is that it's good enough to use it for (almost) everything and cheap enough that the cost are irrelevant. I'm running it in Oh My Pi with a second instance running as "advisor" and even with 5-6 active sessions (effectively 12 streams) I'm struggling to spend more than 5 bucks per day.
OpenCode Go even has double limits temporarily so for 10 USD you effectively get 140 USD of tokens to spend. It would impress me if someone could burn that amount with "normal" usage. Even when running multiple sessions.
I have a Claude Max subscription but I've barely touched it, it just feels like a step back to have to think about limits and usage even though the models are stronger.
The beauty of intelligence at this cost (even if it's not SOTA) is that it opens a whole bunch of new use cases. Test failure in CI? Have the bot automatically propose a fix, its cheap enough that you can discard it w/h issues. Test coverage too low? Auto generate tests on CI for every pull-requests! Monitoring server logs, continuous security audits and investigating every received exception now becomes possible.
I'm thinking about having it automatically filter and re-rank my social media feeds so I can steer the algorithm instead of the other way around.
Perhaps other people (with enormous budgets) were already doing all of the above but for us this is a really exciting release!
The link is to a really poor summary of a better article by the register.
https://www.theregister.com/ai-and-ml/2026/08/03/as-larry-el...
The register article is about this post:
This dropped off the front page in the time I read it, I assume because of the controversial gate that favors upvotes to comments (which I am making worse by replying to others). It is a shame, because this really resonated with me.
I've been working in tech for over 20 years now in various roles, and this is the least I have cared about it. I used to want to get better, and was constantly excited about learning new things just for the sake of it. Now I daydream about being homeless. I look around at all the meaningless crap I have accumulated, and feel shame that I didn't use that money to retire early.
I am surprised that remote work didn't get a bigger mention in the article. In a few weeks I will have been working from home for 12 years, and I believe it is the cause of most of most of my angst. At first, the convivence was such a relief, but it has become a trap. The effort of the commute, forcing me to go out every day and talk to human beings face to face, even just little things like making sure I was showered and dressed every day, they all felt like a burden at the time but they were good for me and I didn't realize it. Not to mention that it makes my house feel like work, and I now I hate it here.
I will say as an anecdote counter to the AI examples given in the article. I have a young co-worker who is very excited about AI and is using it way more effectively than I am. Talking to him gives me hope for the future, the kids will be alright.
But to the point of the article: I have many friends my age that are making less than half of what I do working objectively harder jobs for way longer hours, but they all seem so much happier than I am.
> If I run a local script or an LLM that needs to fetch a web page from your site and you block that script or LLM as being a bot, you hurt me, the user.
No; in this case you are not a user, you are a bot user.
Saw a meme on mastodon the other day contrasting people of the '90s going online to escape from offline reality, and people of the '20s going offline to escape from online reality. There's something to that.
I think a big part of it is just how incredibly toxic the web has become. If you spend any time online, as most tech workers do, you have exceptional resiliency if you're able to stay sane and level headed.
Going online it's like everyone is really angry and tired and sad all the time, and it's getting worse every year. This really took a nosedive during the pandemic, but looking back this had been going on for several years before. Every election cycle makes things worse too.
It's just been spiraling in a very dark direction for a long time. You have these blackpill depression cirklejerks everywhere. Astroturfing is getting worse every year. Like what Bannon did with gamer gate is an amateurish precursor to what everyone with is doing everywhere now. With AI you can even run these campaigns with a very small budget.
All the news is just outrage porn and non-stop predictions of impending doom. Used to be more tabloid territory but now I don't know if anywhere is spared. A lot of the focus now is on AI, but when it isn't the world is burning in some other fashion. Reading the news, we've been in a permanent state of crisis for years now.
This information diet just isn't good for your mental health. It isn't just tech workers, but they're probably more exposed than most.
Candide's closing remarks spring to mind. Tend your garden.
This is built on top of Blitz (https://github.com/dioxuslabs/blitz): a new modular (open source) browser engine that I've been building for the last 2.5 years.
(I wasn't involved in building kitesurf, but I am informed that they intend to open source and upstream their patches)
Because we see what's coming?
Because we watched our careers go from being in service of an industry of tinkerers and designers, to being in service of the worst people attempting to maximize wealth extraction no matter the human cost?
Because Snow Crash wasn't supposed to be the goal?
Because our daily complicity in what's happening is also a daily reminder that we're not brave enough to be a Mangione?
Take your pick.
I read up recently on the history of the fall of the roman empire and it was fascinating how eerily similar it was to the current state of the US. Overwhelmed by corruption and wars they make stupider and stupider decisions on ever larger scales, ever more frequently. And the population grows ever more cynical, eventually opting for authoritarianism before eventually the center can't hold any more and it all collapses in on itself.
Funnily enough, the most striking part was the pure stupidity of a lot of it - seems so strange, but every day it seems I hear another really stupid story and think ... huh, maybe it really can be like that.
> not one dependent on "costly subsidies".
While paying out 1.2 billion dollars.
The USA is governed by evil people, and the people of the nation are too stupid and expecting someone else to stop them. Plain as day light.
Meanwhile China is becoming entirely energy independent and electrifying their economy. I don't understand how the US doesn't see that they won't be top dog forever especially in this multipolar age.
Parts of the world are literally on fire but the US is redirecting money to halt renewables and towards gas.
The demand for energy is higher than ever due to AI data centers, but I guess the next model is more important than a habitable environment.
Insane.
Over the last year, wind - mostly offshore - has generated more than 35% of electricity here. Gas is down to 27%. It's really, really good. And it looks cool.
> Interior Secretary Doug Burgum said in a statement posted on X that Americans deserve an energy system built on common sense and not one dependent on "costly subsidies".
I agree. This is why we are building offshore wind and not subsidizing fossil fuels, right?
A lot of people on this story are making the usual snarky remarks that, oh, this is just a slap on the wrist—some trivial proportion of Meta’s global revenue. And that is true, but unlike the EU, for example, New Mexico is a tiny jurisdiction. It only has a little bit more than 2 million people.
So actually, a fine—or a judgment—of $942 million that applies just to New Mexico is enormous. If you look at Meta’s revenue from the U.S. and Canada and assign it proportionally by population, you find that Meta only earned about $1.5 billion to $2 billion total from New Mexico over the past five years. The exact figure depends on whether you allocate purely by population or account for purchasing power, which makes the estimate a little lower because New Mexico is a poorer state than the U.S. average.
Given that, the judgment is a half to two-thirds of what Meta could have obtained from New Mexico. So it is actually a serious deterrent, assuming Meta thinks New Mexico would continue to impose fines of that size.
I also think that there’s a good chance this judgment gets overturned or significantly reduced on appeal, but even if the fine drops to half its current level, it would be proportionately larger than almost any fine against any company, let alone tech, that I’ve heard of.
Unless you want all cables to be thick, $60, and cap out at 1 meter long, this is not a reasonable standard. 480mbps USB-C is perfectly adequate for many applications. Likewise for 60W cables.
Personally I think Apple should have acquired them. if you could burn a gemma4 class model into an iphone and actually get extremely low latency and low battery usage it would feel like the future IMO. even if it means you wont get frontier intelligence, there might actually be incentive to buy a new mobile device every year again.
I'm surprised neither OpenAI nor Anthropic made this move first. The Chinese open weight models are pulling ahead and commoditizing their value proposition.
Baking models onto silicon would've been the next logical move to get a moat.
Google is already doing this and has an experimental project on top of already having TPUs and cramming their quantized flash onto individual TPUs for inference.
Are these outages caused by introduced bugs, though, or by load issues?
As someone who has spent many years working in high load environments, this is not an uncommon pattern.
You design a system and it works great. It can handle failures, load spikes, it is horizontally scalable, things are great. You think you figured it out.
And then load keeps increasing and you suddenly hit a tipping point where everything keeps failing, and you cant keep up. The things that you thought were perfectly horizontally scalable turn out to have a bottleneck you didn’t even think about until you got to a truly massive scale. Your systems suddenly don’t have the excess capacity to handle load spikes or catchup work, so suddenly any failure cascades and recovery is more and more difficult. You can’t solve the problem with additional hardware, and your perfect scalable design actually can’t scale any more.
This doesn’t have to be about GitHub using LLMs in their code to still be related to LLMs. GitHub gets a lot more commits now because of LLMs and probably get a lot more reads because of LLMs as well.
It could be that the extra usage just pushed them past one of those capacity thresholds.
I don't think this portents anything great for software in general.
We're a good year+ into the use LLMs for all major bits of software that we all rely upon and GitHub here is down to one 9 of uptime. I've been using GitHub for a _long_ time, my first commits there go back to August 2009!, and I honestly don't recall GitHub going down as much as it has in the last year.
I'm sure there's other things happening in the background, but I can not help but believe that this is directly correlated with the increase of LLM usage.
Though I would love to hear someone else's pet theory how a rock of the internet went from four+ nines of uptime to maybe one.
On the topic of taste, I think of this quote in Susan Sontag's "Notes On 'Camp'" often:
“For taste governs every free — as opposed to rote — human response. Nothing is more decisive. There is taste in people, visual taste, taste in emotion — and there is taste in acts, taste in morality. Intelligence, as well, is really a kind of taste: taste in ideas. (One of the facts to be reckoned with is that taste tends to develop very unevenly. It's rare that the same person has good visual taste and good taste in people and taste in ideas.)
Taste has no system and no proofs. But there is something like a logic of taste: the consistent sensibility which underlies and gives rise to a certain taste. A sensibility is almost, but not quite, ineffable. Any sensibility which can be crammed into the mold of a system, or handled with the rough tools of proof, is no longer a sensibility at all. It has hardened into an idea..."
Adding “running” to the list of things that Google engineers apparently don’t do.
Where it joins “walking”. Google Maps will suggest almost arbitrarily bonkers public transport directions to avoid walking. Personal favourite: the sensible way to get from my house to work, unless the weather is terrible, is six minutes on a train and a 15 min walk. Google Maps would, generally, prefer that I spend 15 mins on the train going mostly the wrong direction and 15 minutes on a tram, then a five minute walk. It will also contemplate a ten minute walk, ten minutes walking being within the threshold Google deems physically possible, plus an arbitrary amount of time on a rather slow bus. Apple Maps and Transit are better at this.
I take the point, but I think the author picked a poor analogy. Cooking even an excellent steak is actually not that hard. In fact, I'd argue that it's among the easiest things to master/make at a top level quality at home. Does it require some modicum of attention and understanding? Sure. But starting with a high quality cut, owning a meat-thermometer, and knowing about reverse searing is about all it takes to reliably and easily get a near perfect steak every time.
There are far, far better cooking examples out there.
It's kinda funny there is still software coming out whose security model is "constantly ask the user for permission, and hope they never make a mistake".
It's been tried so many times before, and it never worked.
This is a really important concept for developers.
One aspect for developers that I see quite often is the assertion that "We can't have X without giving up more Y", most commonly "we can't have more security without giving up on user experience". With the Pareto idea in mind, we can see that that statement is true, if and only if you are in fact on the Pareto frontier of security and user experience already.
However, many times these confident pronouncements are being made when the system under question is quite evidently not on the Pareto frontier in the first place and indeed you can get more of one without giving up the other.
Making it more tricky is that in business, you can never discard "money" as a dimension, so unless you're taking "money" as one of the dimensions in the original comparison you want to do, it sneaks its way in. Or, a composite time/money, or "cost to business", or some other similar concept, time & money aren't orthogonal and don't need to be treated as two separate dimensions in general, though you can if you want. Which puts you into the 3D case, and as the page says, that grows the frontier quite a lot, which is good in some ways and bad in others. Nevertheless, in my opinion it is still often the case that even in that space we are often making "tradeoffs" without checking that we're on the Pareto frontier in the first place.
I don't understand why ensuring general-purpose computing is not a priority of the European Union.
All that talk about sovereignty, and we are giving full control of our digital lives to 2 American companies.
My favorite Youtube channel.
Please watch the latest https://www.youtube.com/watch?v=HDVcfSYcxc0. It's an interview with an old botanist, who shares his wisdom and philosophy, remains engaged after decades of witnessing first hand America's nature getting destroyed. 2 main points: - destroyed old-growth forests, grassland, remnant prairies takes millennia to be back to what they were, not decades. Insects and other pollinators don't just reappear - water availability for plants comes in many forms, all of which disappear with tillage.
Joey is an acquired taste, but if you look past the strong and odd personality (the persona?), his channel is a gold mine. But this time he was (rightfully) impressed by Gerry (Gerould) Wilhelm's wealth of knowledge.
Programming has five phases effectively:
1) You figure out what problem to solve.
2) You figure out HOW to solve the problem.
3) You actually implement the solution.
4) You see the solution work, for yourself.
5) You ship/deploy/publish the program. This means you see people be happy users and/or you get paid for it and so on.
If you're an entrepreneur type, you probably enjoy the first and last steps most, and you see steps 2-4 as mostly a chore. If you're a tinkerer, you don't care much for 1 and 5, and you see 2-4 as the whole point of programming. I'm a tinkerer. I'd be happy to just write code and throw it away. Coding is like solving sudokus. I could skip steps 1 and 5 forever. I don't ever need to show any code to anyone. In fact, most of the time when programming I do steps 2 and 3 and even skip 4. I don't even finish! I work weeks on something until I lose interest, and I know that in order to even run it, it would be several more weeks. A PoC is enough. Or just a half one. It's just code-to-structure-thoughts, not to create anything finished.
The 5 phases look kind of symmetric. The outermost layer (1 and 5) are the entrepreneurial steps. If you're a product owner or CEO, you might work strictly at steps 1,5. Then steps 2-4 are the managerial/architectural steps. If you're a very senior IC at a large company, you might work at this level, without actually doing much coding. Only the inner most step (3) is the manual creation of source code. Even though it's 5 different phases, it's just "3 layers" of programming.
The problem as I see it is that I enjoy step 3. And LLMs are good at step 3 almost exclusively. So they just pick the best bit of this dish, and leave me with the rest.
If you're an entrepreneurial type, the LLM appears to take the _worst_ bit of the work from you. Great.
The reputation of datacenters precludes them due to some high-profile abuses of locals, as well as cities overcommitting brittle and unprepared infrastructure to them.
Consumer energy prices in 13+ states hiked because the grid was unable to meet the sudden demand. SpaceX's datacenter in Memphis used gas turbines to rapidly deploy Colossus before the grid could be upgraded, which resulted in an increase in local air emissions that was technically illegal. There are two Meta datacenters that oneshotted their local water supplies during construction and tests, resulting in sediment and bacteria going through consumers' taps. NV Energy cut off an entire town of residential properties because datacenters were more profitable, in a higher-stakes parallel to the ongoing RAM woes in consumer electronics.
There's been more than enough well-justified association between "datacenter" and "abuses local resources" that I think nobody should really be surprised at the backlash toward them. The backlash is so furious that it's forming a rare example of a bipartisan, populist consensus on any given political issue.
I don't know what DC Blox was going to put in this particular datacenter, but they are a "traditional" colocation datacenter company. Maybe this one would've been superdense GPUs with a jet engine as electrical generator causing all kinds of noise, but it's also just as likely this would've been a project that 5 years ago no one would've batted an eye over, and wouldn't cause any issues in the local neighborhood
That's the unfortunate thing about the current climate around datacenters. Everyone hates AI, and Elon absolutely screwed Memphis, and everyone thinks anything with more than 10 computers in it is going to be an xAI monstrosity. There's still a need for growth in just traditional datacenters hosting things like your email and Netflix, not just AI, and those projects are going to get swallowed up in the AI hubbub
Because people that enjoy programming for programming's sake don't want an LLM to do the programming for them - isn't it obvious? It's just like with any other hobby, people who like car racing created rules that force you to drive yourself, even though they'd get faster lap times with electronic driver aids. People who enjoy grappling created rules that force you to grapple, even though striking could win a fight faster. People that enjoy chess don't allow you to bring a computer to the chess table. The list is endless and the people that enjoy programming will create rules that force you to program, why shouldn't they? It's their hobby.
The web experience has improved? You can’t even view a thread any more without being logged in or using a 3rd party site. They’ve actively made the web experience unusable for most people.
But considering they’ve also drastically reduced the quality of content on the platform, one could say they’ve done casual users a favor.
This kind of observation is a big deal for solar physics.
It's been believed for decades that these small-scale (~100km and below) turbulent features are critical to understanding how energy dissipates in the Sun. And thus, how sunspots and flares form.
The subject has been very qualitative but is yielding on both observational and simulation fronts. I worked adjacent to this area from the 1990s-2010s, and it had been true that MHD numerical simulations of significant volumes of the Sun (but at a scale fine enough to resolve these features) were not possible. That has obviously changed!
Additionally, it had been that the best solar observatories could not quite resolve these features. In the late 1990s some of the best images came from a couple of observatories in the Canary Islands (e.g., the 1-meter Swedish telescope -- https://svs.gsfc.nasa.gov/4715/). The spatial resolution was perhaps in the ~100km range.
Of course, these are absolutely mind-boggling images. You're looking at a slice of the solar photosphere that has a temperature such that it activates a spectral line around 400nm. By isolating that wavelength, we can see what's happening at that temperature, and thus, sample a slice of the photosphere.
So, that had been the state of affairs. Now DKIST (4m aperture), with the particular instrument highlighted in OP, appears to be at a spatial resolution ~5x finer than the above imagery -- see Fig. 1c in the Nature paper (https://www.nature.com/articles/s41586-026-10871-3). It appears also (https://dkist.virtualsolar.org/vanNoortfastcam/) to be observing at 740Hz (!) for speckle reconstructions at ~1Hz.
At this scale, vortices of the flow are well-resolved -- where before you just resolved the convective cells but not the turbulent features around them. It's these turbulent features that are transporting energy.
To contextualize with respect to a HN perennial topic: DKIST (commissioned 2021) is funded by NSF, from the same pile of money that once funded Arecibo (up to 2020).
Well, besides the language and the typeface, the other element of this sequence at the beginning of Blade Runner that makes it so special is the accompanying score by Vangelis, and the sound effects that start with twinkling computer notes and gradually build in volume to explosions and the whoosh of futuristic vehicles. It effectively immerses viewers into this incredible world and story.
https://xcancel.com/signulll/status/2067446889956430273
This funny post reads surreal, but it may carry some truth: https://x.com/signulll/status/2067446889956430273?lang=en
> Sanjay (who just joined Twitter)
Clarification: this comment is saying Sanjay Ghemawat joined Twitter as a user recently (new account @Sanjay_Ghemawat as of July 2026), as opposed to Sanjay working for Twitter the company.
They make many bold promises, but their core goal is neatly encapsulated on the website:
"Imagine a future where a handful of people can conduct scientific research and engineering tasks much more rapidly, and with higher quality, than massive teams of scientists and engineers do today."
This is the same goal as every other AI company out there. Automate away the human employees and let a small number of "people" (note that they do not say scientists or engineers for this part) take the credit and financial rewards for every good thing this human-free system produces.
> The AI is no longer “other”
> My AI is a natural extension of me. It feels like a sixth sense and another limb. I wonder about a problem, feel as though I’m literally surfing the web, see glimpses of the websites, get flashes of intuition about the problem, and ultimately derive the answer.
We call this AI psychosis.
Wow. Jeff and Sanjay both departing. Truly end of a golden era.
There is an entire cohort of work-optional very senior engineers for whom one of the last reasons for hanging on was "at least Jeff and Sanjay are around".
Cool to finally see some small silly tech stuff here that isn't trying to make money.
Zed should focus on basics. When it focuses on basics Zed is good.
https://github.com/zed-industries/zed/discussions/54150 failing to show newly created files and declining to provide a refresh button, instead adding a polling backend, breaks Zed on WSL.
Why a new version control system? Why not git, jj, or another existing system?
A hobby is something you enjoy the process of doing, not just the end result. Everybody likes a clean home, but cleaning is rarely a hobby. LLMs expedite achieving the end result. Take from that what you will.
I run GPSJAM.org, have been studying and tracking the effects of GPS interference on aviation for the past 5 years, and I was a source for this article. I'm not a pilot and I don't work for any aviation agency.
I'm very curious to see what the final NTSB report says, but their preliminary report along with commentary from other analysts seems to show that this was a crew that made bad choices and died because of it. It also seems to show that GPS interference was a contributing factor to the accident, and that they'd likely be alive if the U.S. military hadn't been jamming GPS.
I think pilots need to be prepared to fly without GNSS, and also it might be a bad idea for the military to regularly deny GPS to thousands of civilian aircraft with tens or hundreds of thousands of passengers.
Lack of GPS isn't a critical safety issue, but it is a safety issue. GPS interference removes options, hurts situational awareness, disables or degrades other safety equipment (like TAWS, the Terrain Awareness and Warning System that is specifically designed to warn pilots that they're about to hit a mountain), and adds to crew and ATC workload and distraction.
Saying that this situation is what pilots train for and they should have just used VORs and ILS reveals an overly macho, unsophisticated understanding of aviation safety. We've added GPS, ADS-B, TCAS, GPWS, TAWS, etc. because they make flight safer. The airline industry and governments are concerned about GPS interference because of the aviation safety issues--if you're not concerned, you're thinking about the problem in a very narrow way ("I would never have trouble if my GPS died.").
In fact they think it's an urgent problem.
2024: "Aviation sector seeks urgent solutions for GPS interference" https://www.reuters.com/business/aerospace-defense/aviation-...
From a 2023 presentation by Eurocontrol at the UN International Committee on GNSS/Interference Detection and Mitigation https://rntfnd.org/wp-content/uploads/Aviation-GNSS-interfer...:
• GPS Problem reports dominate over all other type of safety reports
• Redundant systems are the only reason why aviation has been able to
maintain normal operations despite GNSS RFI!
• GNSS integrated into many systems; exact RFI impact difficult to
predict, manufacturers had to issue aircraft specific
guidance → Complexity and workload increase
Aviation Safety Impact
• Aviation Safety is built on two main principles:
• Trust your instruments
• Follow standard operating procedure
• GNSS RFI causes pilots to have to question both principles!
• Chief Operations Officer of one major airline:
Navigation is not my problem. My problem is “normalization of
deviance”!
• Incidents have occurred simply due to pilot distraction because of
having to deal with too many system alerts
From 2021, "FAA Files Reveal a Surprising Threat to Airline Safety: The U.S. Military GPS Tests" https://spectrum.ieee.org/faa-files-reveal-a-surprising-thre...:
Early one morning last May, a commercial airliner was approaching El
Paso International Airport, in West Texas, when a warning popped up in
the cockpit: “GPS Position Lost.” The pilot contacted the airline’s
operations center and received a report that the U.S. Army’s White
Sands Missile Range, in South Central New Mexico, was disrupting the
GPS signal. “We knew then that it was not an aircraft GPS fault,” the
pilot wrote later.
The pilot missed an approach on one runway due to high winds, then
came around to try again. “We were forced to Runway 04 with a predawn
landing with no access to [an instrument landing] with vertical
guidance,” the pilot wrote. “Runway 04…has a high CFIT threat due to
the climbing terrain in the local area.”
This is far from the most worrying ASRS report involving GPS jamming.
In August 2018, a passenger aircraft in Idaho, flying in smoky
conditions, reportedly suffered GPS interference from military tests
and was saved from crashing into a mountain only by the last-minute
intervention of an air traffic controller. “Loss of life can happen
because air traffic control and a flight crew believe their equipment
are working as intended, but are in fact leading them into the side of
the mountain,” wrote the controller. “Had [we] not noticed, that
flight crew and the passengers would be dead. I have no doubt.”
So, in last several months, all the prominent names Google lost: Demis Hassabis (technically still with google but these things are usually presented with a spin), Jeff Dean, Sanjay Ghemawat, Oriol Vinyals, Quoc Le, Noam Shazeer, John Jumper, Jonas Adler, Alexander Pritzel, David Silver, Denny Zhou, Fernando Pereira, Alex Turner
And all the prominent names Google gained: NULL
Combined with no gemini frontier GA release in about 14 months. You have to have created an environment pretty hostile to innovation for this to happen
From Jeff's twitter post:
> Our general approach is to automate the experimental loop. We think this approach is broadly applicable across many different fields of science and engineering. We’ll initially focus on ML research and engineering, but believe the approach can help with important subproblems in nearly every one of the fourteen NAE Grand Challenge problems. We think doing this well requires strong expertise in machine learning as well as large-scale systems.
See also: https://www.nae.edu/20782/grand-challenges-project
Those 14 are:
NAE Grand Challenges for Engineering
1. Make Solar Energy Economical
2. Provide Energy from Fusion
3. Develop Carbon Sequestration Methods
4. Manage the Nitrogen Cycle
5. Provide Access to Clean Water
6. Restore and Improve Urban Infrastructure
7. Advance Health Informatics
8. Engineer Better Medicines
9. Reverse Engineer the Brain
10. Prevent Nuclear Terror
11. Secure Cyberspace
12. Enhance Virtual Reality
13. Advance Personalized Learning
14. Engineer the Tools of Scientific Discovery
OpenAI and Anthropic have the freedom to do absolutely insane things like negligently hack other companies. It would be stock price suicide if anything even remotely happened with Google.
It seems like the real news is Jeff and Sanjay are leaving Google, and Demis is effectively replacing Jeff as Chief Scientist for all of Alphabet.
The bigger deal is the departure of Jeff and Sanjay, rather than Demis moving into a different role.
This is the big problem with mass surveillance as a whole. With enough time, they'll find some pretext to bring you in, even if the original crime they want you for is weak.
This will ruin lives, even if they're eventually let go. Jobs lost, evicted from homes, cars towed, pets surrendered and put down.
Lives will be completely derailed, police and judges will not be held accountable. The wrongful arrestees will still be in debt to the local jail and court for various fees they racked up. Trust in the justice system will continue to degrade and more and more violence will be used against people to maintain order.
We hold police to high standards for search/arrest because they have the monopoly on violence. Even if they're wrong, you can't shoot back. Even if they're slamming your loved ones into the pavement, breaking their teeth, you cannot kick the cop in the head or else they have permission to murder you both.
Mass surveillance is a loophole to this contract.
I liked Kenton's take on this: https://x.com/KentonVarda/status/2084990137180590572?s=20
Text from tweet:
Today we are releasing Cloudflare OS, a chatbot with connectors, just like every other tech company is doing.
Except actually, it's different. This is a remake of Sandstorm[.]io, my startup from 10 years ago, except this time built on Cloudflare Workers (the platform I've spent the last 9 years building) and deeply leveraging AI. This is more or less the culmination of my secret 10-year master plan.
This is a full-on personal app vibe coding platform, in which the sandbox is so secure that you can pretty much go wild -- the AI cannot introduce a significant security bug. We believe a company's security team can feel comfortable giving non-technical users permission to vibe code and then sleep soundly at night.
How is that possible? It's the Sandstorm security model, revisited. A "Gadget" is the same thing as a Sandstorm "Grain": a fine-grained app instance. For example, if you have a document editor app, each document runs as a separate instance of the app, in a separate sandbox (one "Gadget").
This means two things, both of which I think are Big Deals: 1. The platform can manage all access control, by controlling who can access the Gadget at all. There is no way the Gadget can accidentally leak itself to an attacker -- even an attacker who has access to other Gadgets based on the same app. 2. Since everyone is running their own copy of the code, everyone can freely modify their copy of the code.
Think about #2 a bit more.
What if, when you wanted a new feature in the software you are using, you could just prompt your agent to add it?
This doesn't work in the cloud Software-as-a-Service model, because you are not running your own copy of the app.
Sandstorm tried to change that 10 years ago, but the world wasn't ready, because not enough people had the skills or patience to actually modify their software. AI has changed that. Now you just ask the agent -- the same agent that you are using to help you interact with the Gadget can also modify the code of the Gadget.
And it is so fun.
When I used to fly in Florida in the 2005-2015ish timeframe, NOTAMs for GPS interference (it didn't say that exactly but that's what it meant) were an everyday occurrence along my path, it became boilerplate. I experienced it a few times. One moment the GPS thinks you're plodding along next to Ocala, next moment it thinks I've teleported a thousand miles away, and then it'd just quit.
But that's what we train for. That's why aircraft and pilots have redundancy to work around any single possible point of failure and why you practice it until it becomes natural. Because of the NOTAM I'd already have a VOR tuned in, and once the GPS went inop I just fine tuned it to get a radial fix on the VOR. Also tried to never lose my bearings with my MK I Eyeballs either. No big deal.
I feel bad for everyone that lost their lives here, but this is why competence is critical. There's a litany of errors the pilots made. And the article tries to pin a bit on the controller, but no, ultimate responsibility is on the pilot in command, FAR/AIM is clear on that.
If these allegedly instrument rated pilots had been properly drilled by their CFI's and properly grilled during reviews and such this should've been an easy flight.
Also, "just ask Kennedy". Wired bringing that into the conversation is perhaps relevant but not in the way I think they intended. JFK Jr lacked basic airmanship skills. His aircraft was 100% functional until the moment it impacted the ocean.
Some professions simply can't be go-along-to-get-along social clubs. Safety culture centered on competence and performance is key.
Would be interesting to join but have to get bit more karma :)
Lots of praise for Pi in this thread, so I'll offer up a diverging opinion. Given all the hype, I was a bit underwhelmed by Pi. It definitely has some good ideas around customization, but it annoyed me in many little ways.
For a program that's minimal it sure takes a long time to start up, the standard C-p and C-n bindings don't work, it doesn't follow the XDG Base Directory Specification and just pollutes my $HOME directory.
I think there's still space for another harness that's 1/ open-source, 2/ written in a fast compiled language (Rust, Go, etc.) and scriptable in a simple (aka non-JS) scripting language (Lua, etc.), 3/ less opinionated and more sensible so things like XDG isn't a WONTFIX.
With respect to you as a person and your ideas presented, this is one of the most car-brained posts I've ever read.
> it's way more efficient than building $100 billion in transit that will take 200 years to build.
What is efficient about a $13 highway widening project in Houston or the $24 billion (inflation-adjusted) and 15 years it cost to bury a highway in Boston? (It's not even much of a new highway, it's just underground now!)
I don't think the average person realizes how little typical non-New York states spend on transit. Ohio's ratio on highways:public transit spending is approximately 8:1, and that includes federal public transit money. Oh yeah, and Ohio outspends all its bordering neighbors per-capita.
I am here to tell you about this cutting-edge science-fiction technology that is cheap, efficient, highly flexible, and requires almost zero infrastructure investment: https://en.wikipedia.org/wiki/Bus
As a bonus, instead of funneling public money out of state to Waymo who then dumps into cars manufactured by Zeekr in China, the city bus actually employs local people!
It's so fascinating that Arlington, Texas, a city with over 300,000 people in it, hasn't yet been able to master the deep intricacies and mystical technology of the bus.
I've also noticed that you are talking about the impacts of transit and vehicles on real estate prices, e.g., a lack or excess of parking spaces. I think you can do something similar the other way around and investigate the real estate impact of permanent rapid transit stations being built. That paradigm is how Japan funds its entire public transit system as a profitable enterprise: allow the rail company to own and develop real estate in close proximity to the stations.
This is a nonsensical goal.
If I drag a browser window to the right, making it cover the right-hand half of my monitor, it serves no useful purpose for "centered" content to migrate to the left edge of the window (the physical midpoint of the screen).
Centered means centered within the virtual viewport, not the physical screen.
God, I love how Americans will do anything but build public transport
The net result of what this site is doing seems to result in one of two effects when I open the sidebar, randomly:
1) the sidebar covers the content, while the content has blank space to the right, or
2) the content moves off the right edge of the screen, leaving a large blank space to its left.
Both of these are wrong. If I have a sidebar open, the site is now narrower, stop trying to be clever.
My immediate reaction to this is why is the browser giving the site this information, and could we stop.
The longer background is that Christian Ude our mayor until 2014 furthered the LiMux[1] project - migrating more than 14000 PCs in public administration to Linux.
He got personal visits from both Ballmer and Gates that pressured him to stay with Microsoft[2] but did not balk.
Unfortunately his successor caved to Microsoft's siren song abolished LiMux and Microsoft got a nice campus in the city (they used to be at the outskirts).
Since May this year we have the young and energetic Dominik Krause and there is hope for change again.
[1] https://en.wikipedia.org/wiki/LiMux
[2] https://www.linux-magazin.de/ausgaben/2019/10/interview-2/
This might be some kind of a weird requirement for a piece of art, but I would literally never expect a website to center a div according to the browser window instead of the viewport. It just looks wrong and feels wrong.
I live very close to LAX, and we have hundreds of Waymos in our area. At first i was a little weary, and kinda weirded out by all of them.
They have become completely normal, and cause WAY fewer traffic incidents than human drivers. They are very predictable, and will always let you pull in front of them when changing lanes (unlike a lot of other LA drivers).
I have seen a few incidents where they seem 'stuck', and it was a bit annoying and kind of funny, but again, it does not happen nearly as often as for human drivers.
I also like taking them. It is nice to just get in and relax and not have to talk to anyone or worry about who is going to pick you up. You can control the temperature and music from your phone, you can drop the pin exactly where you want to be dropped off and picked up, and the ride is smooth and comfortable.
We can debate all the knock on effects of Waymos, but the user experience is pretty great.
Surprisingly low hype for a company running perhaps the most advanced consumer-interactive robots. I’m quite fond of these machines and will periodically rescue them when someone has misused them (door not closed, most commonly). Hope they do well. Very good road participants.
An amazingly detailed tribute, you'd have to think this was taken from a journal, in which case it's impressive to keep such a record of their life, or maybe Stephen just has a fantastic memory.
Even through that detail you can really feel how much he loved and admired her.
> Somehow in the shock of what has happened it feels as if I just met Elise, and now she is gone.
A reminder that time's cruelty is making the wonderful feel shorter than the painful.
> My only solace in this tragedy is that the end came instantly, after a day filled with nothing but joy.
Hopefully we're all lucky enough to be allowed to rest without suffering while surrounded by loved ones.
> For the most-dominant military power in the world to "whoopsy" run out of weapons because of a low-stakes engagement isn't readily believable.
Wow, yeah, you'd need to have morons at the top of the chain of command and subordinates afraid to speak out in order for something like that to happen. Nothing like the US government today at all.
This is a very different problem than actual efficiency when mowing a lawn or vacuuming a rub. Turning takes more work and time, and you miss a part of the 'square' when you are turning (the arc of the curve is not a straight line). In addition, vacuums especially have an area at the edge of the machine that is not cleaned as well, which is why you want a bit of overlap in your lines.
Plus, when mowing a lawn, you often want to leave a nice pattern, so you cant just go for pure efficiency.
I believe "money good" is YC's only guiding principle. HN is a nice resource, but let's not have any illusions about the morals of the owners.
> Police use the technology to investigate crimes such as hit-and-runs and to locate missing persons. > No suspects have been identified.
Yeah, that tracks.
> Camera data is owned by the police department and permanently deleted after 30 days.
I assume this means that the police department deletes one local copy?
Apple was the ringleader in the illegal anti-poaching agreements between SV companies a couple decades ago.
Apple is cutthroat in business too.
Tony Fadell, the inventor of the iPod and co-inventor of the iPhone, and later Nest founder, commented this in Stratechery about the lawsuit when filed:
"This is Apple’s typical tactic to scare Apple employees — either former or current. I heard this lawsuit was driven by the Apple board.
Steve threatened to file a lawsuit against Nest for poaching 80-100 Apple employees. He called me, screamed for a while with lots of accusations. Then I said, “Steve, it’s Apple’s job to retain its talent, not mine.” He stopped his rant and then we went on to talk about our families and vacation plans. We kept hiring…"
It is strange to me that people are re-discovering this today, in 2026. Microsoft has always been half-baked, even in the 80s and 90s. Heck, my parents basically raised me (20+ years ago) by running a business fixing problems with Microsoft products for their clients.
This is my experience with all Microsoft software. The worst thought out, buggy, untested pile of crap.
There's something seriously wrong in Redmond.
At least with linux, you can search on the web and find a forum post telling you the magic incantation. With Microsoft, you will be forced to consume some second-rate engineer's unmanaged, barely workable, edge case until it might or might not work.
Office on the web is a horror show this way.
I wanted to show my gf the halo 1 campaign, so I downloaded the 30GB Masterchief Collection via steam. When I launched it, I was greeted with a black box. After 1 Minute it was a microsoft login screen that looked eerily like a browser inside the game. Since I couldn't do anything else, the game was stuck at a sub 720p resolution. I said fine Ill just create an account. Yea so mail, firstname, lastname, birthday, country, email and email verification code later I had to do captcha which is clicking and holding down a button. "Help us against the bots" it said. I unironically spent 5 minutes clicking that button, then being stuck in a loop with "please try again" while my gf just sat there watching me.
Well I turned off MCC and gave up.
I don't want to know what life is like having xbox hardware
AI-generated images discourage me from interacting with any entity AT ALL. Bar / restaurant posters, events, shops, anything. Because it makes the brand appear lazy. And in a weird way "anti-human". I don't have a better word than that.
Gaming is heading in the same direction that TV, movies and music are. It’s a shame. I can invite my friends over, boot up my GameCube to play some Mario Kart Double Dash. As long as the console and disc are okay, I can (hopefully) do that until I pass away.
These days? Not so much. I’ll never be able to be sure I can play GTA VI in twenty years. It just sucks not owning anything anymore. I know why they do it, it’s a massive profit difference.[1]
On the PC end of things, it’s not as bleak. Services like GoG let you download the standalone installer, DRM free. I try to get any single player games I can from GoG, you should too.
Support the corps that give you ownership. Buy those Blu-rays of your favorite films. Either to support physical media or to ensure you will have it until data degrades.
1: https://youtube.com/watch?v=sESfDf0My84
Is it normal for a company this big to make a public blog post like this with almost no introduction to what they’re on about?
I would expect them to start out with something like Apple is suing us for yada yada yada, but instead it reads like the diary of a hurt teenager.
To me, this looks like OpenAI is terrified and tries to come out ahead of the public opinion to control the narrative. Such a shit company.
They built their whole business model on stolen data and act surprised when another company has zero trust in them.
Based on their track record this lawsuit is not unexpected at all.
Setting aside the presented evidence, it feels weird for somewhat emotionally charged complaining like this to go on an official company blog. Companies are generally pretty tight-lipped about active litigation outside court documents, right? This just seems a bit amateurish, down to the title. Is public opinion about this case so important to them?
I know everyone wants to crap all over these setups that are impractical, but this is how progress happens.
People will keep plugging away at this and figure out how to avoid wearing the hard drive, how to make it run faster, custom hardware buses etc.
Keep going! I personally can't wait for the day when a 1t param model runs off a $200 SSD instead of a $50k rack of Nvidia chips.
I did a test a few months ago. A friend of mine wanted to develop what i understood to be a simple single page web app. But since she didn’t have any software engineering experience she asked me to help. Around that time everyone was talking about how literally anyone can develop software with LLMs i asked her if she could give it a try first, and if I could watch the attempt.
I was fully expecting that writing the code will pose no problem for the AI. But i was curious if the AI will realise that my friend is a novice and needs extra help with things like: copy pasting the code into a text file and saving it with an html extension, helping her host the file online so she can share it with others, buying a domain for it, etc. I assumed they will get there eventually, but i also assumed that it will take a lot of stumbling around and misunderstandings.
But i was completely wrong. They didn’t even get to that point. Because my friend didn’t have the vocabulary to ask the AI to write code. They were just going around in circles where the AI was brainstorming with her about possible features and getting thints more and more complicated. We terminated the experiment after one and a half hours and many many messages exchanged between her and the LLM.
Whereas to me who knows the terminology would have probably just taken a single exchange of messages to get the result she described to me. I would have prompted with something like “Please write to me an html page which does X, Y, Z.” But since she didn’t know the right terminology she got into a vortex of feature discusion, and she didn’t find a way to tip the AI into “just do it, write it now” mode. In other words in that case the LLM would have rewarded even just a little bit of expertise, but without it there was a confusion about goals between the human and the machine.
The amplifying mirror analogy works best here. LLMs are ultimately a reflection of your own interactions with its weights, the tone you use, the structure with which you construct your prompt, aspects of an issue you tend to focus on, your breadth of vocabulary and world knowledge and whatnot.
People who (carefully) use it as an extension of their own mind and senses will very likely thrive, and those who use it as a replacement for their minds and their senses will struggle.
One of the Claude skills I made Claude itself generate was the 'learning a concept across tiers' skill -- from ELI5 level to a PhD level, and it triggers whenever I ask it a very general question on a complex topic that isn't my bread-and-butter. The fact that I'm able to choose explanation level from a super smart LLM (that's available 24x7) that can explain any topic under the sun would've been mind-bogglingly sci-fi-ish just 4 years ago in 2022.