this is really cool but it seems very unlikely that someone targeting an exotic system not supported by rust (mostly embedded and ancient mainframe targets) would be willing to trust a beta transpiler to not inject any bugs or leaks in the process of turning rust to c. nevertheless, very cool.
An important idea I’ve observed true across industries is “prices rise like a rocket and fall like a feather,” meaning that even though price rises are usually genuinely driven, you can bet that once they’re up the involved parties are doing whatever they can to keep them up. Humans are greedy.
7 YOE in shipping robots to customers, lots of safety critical stuff, looking to move into urban autonomy (self driving cars, delivery bots, construction bots, humanoids, etc). Looking for a startup with a mission I can get behind.
One of the stupidest things about this is we talk all day along about how frontier models don’t just interpolate distribution, then can extrapolate out. Then something like this comes along and a model can generate gore or CSAM so therefore there must be gore or CSAM in the training data. Eye roll.
My honest read is that, having everything — the data centers, the compute, the models (however misaligned they might be), the only thing xAI is missing is users. They don’t have any users because the only people who use Grok are essentially Elon’s fanboy club, and all they pretty much do with it is ask it to generate arguments to win their Twitter threads or nonconsensually unclothe people. Cursor gives xAI a captive audience of users; most sophisticated users don’t use it anymore, so anyone left is unlikely to be opinionated when models are shifted to Grok. Marriage made in heaven.
this being HN, from the title i genuinely had no idea whether this link would be about music, the apple graphics acceleration framework, or ore deposits.
> One of the lessons of philosophy is that once you adopt any particular value system, almost all philosophers either become immoral or caught up in meaningless and trivial quibbles.
> Do people have extremely complex Actions that I can't fathom?
Yes. Think CI jobs that test every candidate PR against a matrix of build targets, run fuzzing, run simulation tests, run bench regression tests, etc etc. Modern CI workflow automation has reached way beyond what a pedestrian can fathom if you’re not on the wave.
I had issues with Qwen thinking endlessly when I didn’t know I wasn’t using the temp/top_k/min_p/etc settings specified in the readme. I’ve never had an issue with Gemma 4 thinking endlessly but could possibly be the same.
This makes a lot of my experience with Qwen make sense. I’ve watched all the benchmarks imply how close it should be to various GPT or Claude releases, but in my own use chatting with it or trying to get it do agentic tasks it was nowhere near as smart as even GPT-3.5 for example. Meanwhile Gemma 4 casually dropped and even the 4B models were performing better than Qwen 3.5 MOE in my chats. Benchmaxxing.
not anything new. people have been taking up “old timey” hobbies to get away from screens since the late 2000s. you’ll remember the hipster javascript baristas of portland taking up leatherworking and blacksmithing between launching meteorJS sites “made with <3”
In his entire screed he never realizes the reason Apple got their transition to work was they genuinely worked hard to make it happen on both ends: they forced developers hard AND still shipped Rosetta 2 to make it seamless for user anxiety for laggard developers. They even had this playbook watching Apple do their first transition from PowerPC to x86. Yet he seems to think Windows 8’s problem was velocity.
very interesting article but i was surprised pg’s conclusion was the opposite of what i expected. to me it was like oh this is brilliant, instead of trading effort linearly for money you can just control image and be paid outside for it. reminded me of, e.g. chamberlain canned coffee, which tastes terrible but has emma chamberlain’s personal brand lifting for it in the aisle every time you see it.