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> bad engineers were always a liability This part of the article hits home for me. With AI, "bad" engineers can now amplify their "bad" engineering x10 across the organization. The most egregious of these cases for me is often long tenured engineers who have lost interest in the craft, creating a dangerous combination of having enough merit to ship but not enough interest to make what they ship _good_. I am still a firm believer in garbage in -> garbage out, AI is only as good as the abstractions and contracts you put in place for it. I don't subscribe to the idea that AI generated code is fundamentally bad, just that people lack the right skills today to wrangle agents into writing good code. Earlier in the year I put together a talk for my company on what the future of architecture & design means for us in the career, I'm very proud of it and will share here in case folks have their own thoughts to share on the topic: https://youtu.be/SIZrt9Rt05Q?si=W57eirniWmoSFeBu

Free account, indefinitely, to whoever needs it to store this data … including the storage vendor. Just email…

> "it is not Meta's role to police offensiveness" Just to fund, transmit, amplify, protect, and profit from it.

Ads are an attack, aimed at your brain. They try to inject malware into your thinking, manipulating your worldview and your actions. That's horrible, worse than attacking a machine with malware, damaging persons and societies. Decades of ad propaganda have tricked people into seeing them as something 'normal'. But we shouldn't accept being under constant attack of brain worms. I propose a sane rule for all humans: if you see an ad somewhere, or if you suspect a hidden ad ('influencers' trying to promote something), close the tab immediately and never return to that site.

> We funded the open-source SQLite VFS shim that helped isolate the race condition almost immediately, and will help track down similar bugs in the future. Interesting example of a company funding open source - in this case paying for the development of a new and very specific debugging tool.

The most remarkable things about this announcement: - Electron based app: Electron is a framework sold on the basis of enabling rapid cross-platform development at the cost of performance. - Frontier AI company: AI is sold on the basis of enabling rapid development - App was released in February & took 6 entire months to port to Linux

Eventually, this arms race ends with a computer vision model that looks at the screen, classifies visual elements as ads, and draws a rectangle over anything that looks like an ad. I am significantly less tolerant of ads than average people seem to be. (I think average people are making a horrible mistake about this, and are badly cognitively damaged by ads in ways they don't realize). If my choices are to look at ads or leave Facebook, I'll leave. But there are conversations people have there that I'd rather not lose access to, so... I guess I'd have to partially stick around and campaign for others to leave as well?

Every server with port 80/443 open has thousands of hits a day from random boxes looking for wordpress login pages. The only new thing is that they're pretending to be a different type of annoying bot. There's a new layer of sophistication and subterfuge, but it's the same junk traffic we've always dealt with.

Yeah, this part also stuck out to me: > Because this wouldn’t be a quick or easy fix, we reached out to the SQLite developers for a professional support contract. This was a great decision. It gave us direct access to their deep expertise and experience, and we had many detailed technical conversations about our architecture and our incidents. They were willing to pay to get help solving the problem, and then pay again to make sure that the problem is easier to avoid in the future! That kind of long-term thinking seems pretty rare nowadays...

I guess it's easier to solve Erdos problems and improve the lower bound of the Riemann hypothesis, than it is to solve Linux desktop app distribution.

Data has ruined fast food (among many other businesses). When I was young it was common for a McDonalds to have 10+ employees working the lunch rush, one for every station and a few floaters cleaning the dining room. Someone took your order right away, and you got your meal in a minute or two. Now I go and it's 3, sometimes 2 employees. You order on a tablet, and 10+ minutes later an overworked employee sets it on the counter and scurries away, probably after realizing it's not a drive-thru order. The dining room hasn't been cleaned since 6am, the trash cans are full. There's at least one alarm going off constantly. Back then they were run based on someones intuition of what makes a good customer experience. Now they're run based on the data, and the data says they have enough loyal-to-a-fault customers like the author that chronically understaffing is more profitable than providing a good experience.

I kind of think the whole "Learn to Code" push of the 2010s was one of the worst things that happened to our industry. Call me a gatekeeper if you want but, we ended up with a lot of people that just can't do the job. The problem is our industry mostly doesn't have any sort of reasonable mentorship or apprenticeship culture, so we've always left it to the engineers to teach themselves. Sink or swim. The problem is that worked when the industry was mostly composed of people that were implicitly interested in this stuff, but the people that just got in it for a paycheck don't have that motivation, and we don't have a good culture of getting them up to speed. So now we have seniors that can barely write a function, much less reason about a complex system. I remember people used to debate all the time about if there were "10x" engineers or whatever. A few I'm sure, but I think the real problem is we have a lot of 0.1x engineers or worse.

Either it needs a warrant or it’s fully open and people can start creating websites showing the movements of local politicians. This middle ground that municipalities try to carve out where it’s fully open to police without a warrant but not subject to FOIL laws doesn’t appear tenable for much longer. There’s been too many cases of police officers stalking exes, poking around the data for fun and such so it’s clear police cannot be trusted with the data without better court oversight. It’s certainly a very powerful investigative tool, but needs solid 4th amendment protections. The Supreme Court’s recent ruling on geofence searches of cell phone records is a good indication on where the Supreme Court’s head is at on this sort of thing, where they said no you can’t just do blanket data dumps like that without a warrant.

I've been waiting so long for something amazing to come out of the OpenAI and Cerebras collaboration. > In our evaluations, GPT-5.6 Sol on Ultrafast mode answered all 2,500 HLE questions in 11 hours and 11 minutes. Claude Fable 5 needed 78 hours and 27 minutes, more than three days of continuous compute, to arrive at the same conclusions. In other words, Ultrafast worked through the frontier of human knowledge in a single working day, achieving comparable accuracy nearly 7× faster. This is actually insane. Hopefully the release ultrafast of Terra and Luna too.

The US wields incredible negotiating power and hegemony because the dollar is the world’s reserve currency. Like the British pound and the Dutch guilder before it, if that loses reserve currency status it will be harder to borrow on favorable terms, which would affect the entire US economy. This is a big step in that perhaps starting to happen over the next few decades.

I overheard a conversation between someone on the Pixel Watch team and a woman I know. He was quizzing her at a party about what features she used - which were pretty much step counter and payment. He somewhat dismissively sneered, "Well, you're not exactly a power user, are you?" I'm trying to imagine what being a "power user" of a watch is like. Can anyone enlighten me? I think smart-watches are much like Alexa. What the user wants to do with it is almost totally at odds with what the company is selling. Alexii are mostly kitchen timers, song players, and light switches. No one is a "power user" constantly installing skills and using it for anything which increases the product team's engagement metrics. The same is probably true of watches. Alerts are nifty - but cumbersome for replies. The health stuff is useful - but only for a subset of users. Seeing the time is great - but if the battery lasts less than a week, who wants to keep that screen on?

> I don't understand why a police cruiser can sit in a public space (or even a private one) and write down licence plates and descriptions of passers-by with pen and paper, or record everything around them with dashcams and bodycams for later use, but when it comes to cameras on a pole this would require a warrant. Scale actually matters. Things that are generally OK at a small scale become problematic at larger scales. A single police cruiser writing down license plates isn't able to track you in the same way a huge surveillance network is, and the opportunities for abuse are much lower.

"Every run is traceable Everything the model sees is recorded in an append-only session log: system prompts, reasoning, tool calls and results, subagent scheduling, and every context injection. In the Trajectory view, you can inspect these records by source. Resume, fork, search, and replay all operate on the same event stream." That's a killer feature, IMHO, and one that US models won't allow you to do, as their traces are encrypted, obfuscated, etc. and have to be extracted via various workarounds (that violate the terms of service). If you want to be able to improve your tools that work with models, you have to be able to assess what the models think is happening, how they think about and interact with the data you give them. And, the US models won't let you see that.

This is correct, it's monetisation, not commissioning. Facebook isn't paying to produce. It's paying for driving views and clicks on ads, regardless of how. It's like if I hire a taxi driver to come to my house and drive me to the airport, and the taxi driver happens to run over a person in the process. It would be ridiculous to write 'he hired a driver to run over a person with a car'. However, this also doesn't fully capture the reality of what is happening. Let's say I routinely get a taxi, and taxi drivers routinely hit people because I happen to have a policy where I only pay them a large sum if they get to the airport impossibly fast, and the fastest way is to drive dangerously. Suppose I notice that every time I get a taxi, someone is run over because of my payment incentives. Suppose I then write a statement that says I will not pay the taxi if they hit a person. Suppose it keeps happening anyway, and I keep paying anyway. And suppose I benefit directly from this financially, because getting to the airport faster saves me money in missed flights. Suppose I then do this on a worldwide scale involving many millions of people and create a market around this of tens of billions of dollars, suppose it's having a significant effect on public health and safety worldwide? I think it's fair to then use more explicit language to hold me to account. I am financing death and destruction after all, even if technically I'm 'just getting a cab'.

Here's a image->html test. Gemini has always swung above its weight class for vision work, so I'm always eager to try it with this. Original images: https://image.non.io/neonRamenDesigns.webp Gemini 3.7 build: https://html.non.io/neonRamenGemini3.7 Opus 5 build for comparison: https://html.non.io/neonRamen Opus is still best in class for this, but it's worth noting how well Gemini 3.7 does vs a more comparable LLM price wise, which is Grok 4.6: https://html.non.io/neonRamenGrok4.6 . I thought Gemini would blow Grok out of the water (it generally has in the past), but Grok has really caught up.

Controversial opinion: This entire thread reads like a game of cat-and-mouse. People trying to block intrusive ads, and FB reaching into the depths of code and making it nearly impossible for anyone to do so en masse. I've been there. Tried to uncheck all the boxes on their ad platform; used all manners of ad blockers, etc; used incognito mode; used Tor; etc. etc. etc. At some point, you realize that the only way to not get served ads on Facebook -- and thereby not benefit the company itself -- is to get rid of it completely. Delete your account, get off that blasted site, and enjoy some moments of peace IRL. Having been a very early adopter of FB (since ~2004), I deleted my account and am clean + sober + much happier since 2016. (Not to say that I'm completely out of the FB ecosystem. Unfortunately, my fam is still on WhatsApp... and I've been trying to convince them to migrate to Signal...) YMMV

This is mine! Built it quickly in 2024 for the US eclipse [1] and finished minutes before totality started. I completely forgot about it until a friend asked this morning. Coordinating a DDOS on cameras across Iceland and Spain was not on my to-do list for today. Fingers crossed it doesn't break for you all - I will be watching it with my own eyes this time. [1] https://jonty.github.io/2024_eclipse_webcams/

I think Zed is an excellent editor (fast!) with a pretty good AI agent built-in, but I have no desire to do multi-player development in my editor. Never have had any such desire. Coding is a single-player game and I can't think of a single thing that would be improved by having someone else in the same editor. So, this seems like a lot of work on really cool tech for no useful purpose at all? Are there people crying out for a multi-user code editor? I mean, we have to have code reviews, sure. That involves other people or other agents. But, I don't need to stand over someone's shoulder while they work. That seems like the worst thing in the world for everyone involved. I don't want an audience for my dumb looking experiments because I forgot how to do something.

I have. He was using it due to philosophical reasons the same way many people have philosophical reasons for avoiding it. I don't know how many people are like that, but it's not exactly where you want to position your product if you're a business. Personally - and I know I'm not alone with this sentiment based on comments I see on this site - I wouldn't touch Grok no matter how good or cheap it is. I don't trust Elon and I don't want to give another dollar to the world's richest person who turns around and uses the money to interfere with elections. The guy I know uses it for essentially the same reason I won't use it.

They do this by adding a ton of useless markup and splitting words like "ad" into single-letter spans with random class names and 8-layer deep nests of `<div>` so it's very hard to write selectors against. One has to wonder how that div soup affects accessibility as I find it very unlikely that this content is presented nicely to assistive tools. I hope they get all the ADA suits they deserve for this.

It frustrates me when people call them license plate readers. I guess you need to call them something, but they are general-purpose internet connected cameras. They will do whatever their firmware tells them to do, and could be reprogrammed at any time by anyone with access. No one expected doorbell cameras to join a mass surveillance network, but later the manufacturers added that feature. Why do we treat these cameras like they can do only one thing?

Hi I'm one of the authors of DeepSeek Harness. It's just an early developer preview version we're presenting in MIT license currently. Expect lots of rough edges and compatibility-breaking changes. Any feedback and suggestions are more than welcome!

I think of it more as "the automation of the stackoverflow engineer". In enterprise software, there has always just been a non-negotiable large volume of code that was required to be written. This has traditionally been offloaded by having seniors do the hard thinking then distill it into a jira ticket which could be handed off to an engineer that'd actually write the code and punch every hiccup into google along the way. This hand off is no longer necessary as that same senior can just kick off an agent and have it handle the implementation for them. I've heard some refer to this as a "nature is healing" scenario for the industry where if you only signed up for a high paycheck and didn't care to think critically about any of the work you're doing then this will be painful because that previously manual process has been automated. The floor of what's necessary to be considered valuable has been raised.

I recently found this out the hard way. Instagram’s web app has a super annoying popup. To click the comments button for a post, your cursor has to pass over the username, which just happens to launch a profile preview with the “follow” button exactly where the comments button was, causing you to unintentionally follow the account. I tried to block this popup with uBlock Origin to no avail. No matter what element I selected, it was still there. Finally fixed the problem by deleting my Instagram account.

Does anyone else hate reading AI summaries of code? Code can be pithy, but at least its terse compared to prose. When you add how verbose LLMs can be, I often end up reading a paragraph to explain a few lines. Or the opposite happens where the summary skips important edge cases or criteria. "You're right, X also does Y. I missed that in my initial analysis," is much too common of a phrase. I like the idea of using LLMs to transform code into something more readable, and vice versa. I am not sure if meandering paragraphs and linear lists are the best targets.