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strange_quark

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strange_quark
·w zeszłym miesiącu·discuss
Sure they’re fine at that sort of rote find/replace job as long as it’s relatively straightforward. But it only really works if you do the hard parts yourself then tell the agent to go and do the rote part. Even then I’ve had it turn to slop more often than not as the agent has to start contorting the code into weird shapes to try and finish the job. It’ll never stop and be like “hey maybe this was a bad idea, let’s try something else”. And by the time you get to review it, you’ve spent 20 bucks on something that needs to be thrown away.
strange_quark
·2 miesiące temu·discuss
100% agree with everything you said. To your point, I don't understand why every acquisition like this isn't treated as a total failure on the part of the AI companies. If Claude is so good and software engineering is a dead career, why couldn't they have Claude Code fix its ridiculous resource consumption or rewrite itself in better fit language instead of buying a JS runtime? And I've never heard of Stainless, but generating API clients from a spec seems like the exact thing AI should be good at! It's totally ridiculous, the tech industry is completely rotten and I feel bad being a part of it.
strange_quark
·2 miesiące temu·discuss
What does profitable on inference mean? As far as I can tell, none of these companies have rigidly defined it, let alone it being a GAAP number. And yeah, if you subtract out all your R&D, payroll, sales, marketing, and other overhead, and get someone else to take on the debt or dig into their free cash flow to build the hugely expensive infrastructure on which you depend, it'd be pretty hard to not be "profitable". It's almost humorous how dumb of a metric "profitable on inference" is.

Ask yourself if AI was so profitable, why don't any of the big hyperscalers break out AI revenue in their earnings. OpenAI and Anthropic both project huge losses for the next couple years, it's not hard to find.

The real problem is, as the GP comment pointed out, that they can never stop training. As long as they're committed to building these behemoth models, the second they stop training, someone else will catch up and everybody will switch over because it's trivial to do so.
strange_quark
·2 miesiące temu·discuss
Unless they're going to offer offer an insane buyout, like 1+ years of pay + benefits + some accelerated vesting, nobody who doesn't already have something lined up is going to take this offer. It's much better to stay with one foot out the door and just keep cashing that paycheck and collecting your monthly vest. Especially when you know layoffs are coming, nobody expects you to do anything until they actually pull the trigger, then there's a month or two afterwards where you can slack off because morale is in the toilet, people are still trying to figure out who's left, how the company is organized, which priorities are dead, stuff like that. Ask me how I know.
strange_quark
·2 miesiące temu·discuss
I seriously question if you’ve ever actually been to Costco. The produce is generally fine but everything else is good to great quality. I always load up with a huge wedge of parmigiano reggiano, Spanish olive oil, Barolo wine (all Kirkland branded and DOP labeled) for literally half the price of anywhere else. Everything else is generally solid too. Just looking around at the other Kirkland food I’ve got right now, their tofu, sparkling water, eggs, salted butter, huge loaf of sourdough that I freeze, are all solid. I’m struggling to think of a Kirkland signature food product I’ve been dissatisfied with.
strange_quark
·2 miesiące temu·discuss
I think there's also a certain permission structure that once one sufficiently large org does a big round of layoffs and doesn't get punished, a bunch of others will run the same playbook. We've seen this before -- back in 2022 when Elon fired like half or more of Twitter and the service didn't immediately implode, it gave other CEOs permission to do massive layoffs in the guise of "efficiency" even though the real reason was ZIRP was over. Now they're claiming it's because of AI when it's really that their margins are eroding because the overall economy is slumping and they need to offset AI spend.
strange_quark
·2 miesiące temu·discuss
I've found them super hit or miss for debugging. I've gone down several rabbit holes where the LLM wasted hours of my time for a simple fix. On the other hand, they're awesome for ripping through thousands of log lines and then correlating it to something dumb happening in your codebase. My modus opernadi with them for debugging is basically "distrust but consider". I'll let one of them rip in the background while I go and debug myself, and if they can find the solution, great, if not, well, I haven't spent much effort or time trying to convince them to find the problem.
strange_quark
·2 miesiące temu·discuss
Organized labor
strange_quark
·2 miesiące temu·discuss
What rapid improvement has occurred, because in this six month AI coding fever dream we've been living in, I really haven't seen anything new in awhile, both in terms of new ideas for AI coding or in new consumer products or services.

I'll give you the coding harnesses themselves are better because that was a new product category with a lot of low-hanging fruit, but have the models actually improved in a way that isn't just benchmaxxing? I'd argue the models seem to be regressing. Even the most AI-pilled people at my company have all complained that Opus 4.7 is a dud. Anecdotally, GPT 5.5 seems decent, but it's rumored to be a 10T parameter model, isn't noticeably better than 5.4 or 5.3, is insanely expensive to use, and seems to be experiencing model collapse since the system prompt has to beg the thing to not talk about goblins and raccoons.
strange_quark
·2 miesiące temu·discuss
I've had a similar thought. A super refactor feature would be amazing, but wouldn't fit into the current zeitgeist of agent everything. Hopefully as the hype starts to die down and prices go up, we'll get some of these smaller, more targeted features.
strange_quark
·2 miesiące temu·discuss
I hate the calculator argument. Kids still need to learn how to do basic arithmetic by hand. There's a reason that CAS calculators are banned on standardized tests. Even in college, I had classes where profs would force us to do complex calculus by hand even though Mathematica could spit out the answer. Understanding things from first principles is important, and probably even more so with AI!
strange_quark
·2 miesiące temu·discuss
Yeah it’s super weird. I know a guy that works there, really nice person outside of work, but the way he talks about his job is so weird. They make corporate expense software but they LARP like they’re on the bleeding edge of tech. My guy you make a slightly nicer Concur.
strange_quark
·2 miesiące temu·discuss
I guess it depends how you define fascinating. I think there's certainly aspects of ML that I find fascinating, but I don't think that LLMs specifically are actually that interesting. In fairness, I'd be lying if I said that I wasn't surprised that you could get this far with the transformer. On the other hand, it's shouldn't be that surprising that if you can mobilize an Iraq war's level of money and a bunch of smart people to work on one specific thing, you can muscle basically anything into existence.

But back to the GP comment: I'm still not sure why a CS prof necessarily needs to be able to poke at LLMs at all. There are plenty of other areas of CS that are worth exploring. And if it's not possible to make a good LLM without violating your principles, well, then maybe they aren't such a worthwhile piece of technology.
strange_quark
·2 miesiące temu·discuss
> I think LLMs are the most fascinating new piece of computer science to come along in at least the past decade.

Agree to disagree.

> The academic field of computer science pretty much started as an exploration into whether machines could be built that could understand human language.

No? CS started as an offshoot of applied mathematics and physics. The study of formal logic, algorithms, digital circuits, etc. predates Turing by centuries. Hell, even the Turing machine predates the Turing test by a couple decades.
strange_quark
·3 miesiące temu·discuss
> I don't need computer science professors to like LLMs, but I still want them to be able to poke at them with a stick without feeling like they are violating their principles regarding energy usage and unlicensed training data.

Why? Language models are interesting from a technical perspective, but so are tons of areas of CS. There's nothing inherently virtuous about using an LLM.
strange_quark
·3 miesiące temu·discuss
I don't get why it's so hard for you and others in this comment section to understand why people hate AI so much because it's not just the theft and environmental destruction. A college professor, especially one at a liberal arts school, is obviously not going to like something that enables you to outsource your thinking and steals your agency. I think that's a perfectly valid viewpoint; maybe talk to someone without STEM-brain who lives outside of SF for once.
strange_quark
·3 miesiące temu·discuss
> In fact I see this pattern a lot. People use LLMs for stuff within their domain of expertise, or just ask them questions about washing cars, and they laugh at how incompetent and illogical they are. Then, hours later, they will happily query ChatGPT for mortgage advice, or whatever. If they don't have the knowledge to verify it themselves then they seem more willing to believe it is accurate, where in fact they should be even more careful.

The AI companies have taken all the wrong lessons from social media and learned how to make their products addictive and sticky.

I’m a certified hater, but even I’ve fallen into the exact trap you’re describing. Late last year I was in the process of buying a house that had a few known issues with a 30 day close. I had a couple sleepless nights because I had asked ChatGPT or Claude about some peculiar situation and the bots would tell me that I was completely screwed and give me advice to get out of the contract or draft a letter to the seller begging for some concession or more time. Then the next day I’d get a call from the mortgage guy or the attorney or the insurance broker and turns out, the people who actually knew what they were doing fixed my problem in 5 minutes.
strange_quark
·3 miesiące temu·discuss
CFOs or VPs absolutely benefit by hyping their company up to private investors by allowing tokenmaxxing to go on unchecked. Tender offers, acquisitions, and aquihires all exist. Or just good old fashioned resume padding by saying you "enabled AI transformation" or whatever helps you land a big payday at some other company.
strange_quark
·3 miesiące temu·discuss
No, it works for any VC-backed companies. Something like 60% of VC funding last year went to AI companies. VCs aren't going to give you a money unless you're building an agentic AI-native agent platform for agents.
strange_quark
·3 miesiące temu·discuss
Wasn't it already confirmed that small open-weight models were able to detect most of the same headline vulns as mythos? How is this any different?