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This is definitely not on par with GPT-6 astra. Not with GPT-5.6 sol either. But probably will set as a new baseline for modern API based LLM because it's so cheap.

It's one of the things you need to do if you want your company to later become the only company in the world. They also promised that they would treat you nicely afterwards after they get what they want.

You probably meant Qwen3.8-35B-A3B. But judging from some of the words from their team, it seems unlikely unfortunately.

That would've been a very strange arrangement.

It's unlikely HugginFace colluded given they specifically cited they used open models to save them from the hacking.

My guess is that they will later "reveal" some "violations" but provide little evidence citing proprietary algorithm.

Top startups in China publish a lot?

I assume this is done with the help of AI? I have done similar vibe project that explaining catastrophic forgetting with the help of AI. It's just so satisfying now that if you really want to learn something, you can always do it with the help of AI. Before, it's hard to find good resources, now it's not a problem, the issue now becomes one's own focus and agency.

U.S. policymakers believe that even if the gap is small—like six months to a year—whoever reaches AGI first (whatever that means) could gain such an overwhelming advantage over their perceived adversary that it would effectively kneecap them. (You can look at the kinds of things they mention—cyber, WMDs—to get a sense of what they mean.) Jensen Huang disagrees and has said AI is a marathon.

Maybe I should start a project rewriting pctools 5.0 in rust!

Yeah, this seems like a personal choice, which does work out given the current result.

Harness is fine. I think people here are arguing what provided here to take the test is not harness.

This violates the ToS, but I don't think it's distillation. Distillation requires knowing the logits, which current API does not provide. This is just synthetic data generation. Anthropic definitely knows the difference.

Google has gigantic power over its users. Consider that for some reason, Google banned your gmail account, which you are using for large number of logins for different essential services.

I think diffusion makes much more sense than auto-regressive (AR) specifically in code generation comparing to chatbot.

Great article. To me, this highlights a key question in the era of rapidly advancing machine intelligence: if we know machine intelligence is progressing, what is more valuable to build for? As humans, we still find many tools useful even when doing knowledge work. For instance, a calculator. Sure, a smart person can perform calculations in their head, but it’s much easier to teach everyone how to use a calculator, which is 100% reliable in its intended domain.

In this era, we should build these kinds of tools for problems we know are straightforward ones you can’t get smarter than, even as intelligence continues to advance. Using tools like "bash" or command-line interfaces originally designed for humans is a good initial approach, since we can essentially reuse much of what was built for human use. Later, we can optimize specifically for machines, either accounting for their different cognitive structures (e.g., the ability to memorize extremely long contexts compared to humans) or adapting to the stream-based input/output patterns of current autoregressive token generators.

Eventually, I believe machine intelligence will build their own tools based on these foundations, likely a similar kind of milestone to when humans first began using tools.

Yes, agentic-wise, Claude Opus is best. Complex coding is GPT-5.x. But for smartness, I always felt Gemini 3 Pro is best.

OpenAI has a former NSA director on its board. [1] This connection makes the dilution of the term "PRISM" in search results a potential benefit to NSA interests.

[1]: https://openai.com/index/openai-appoints-retired-us-army-gen...

Rust's `serde_json` recently switched to use a new library for floating string conversion: https://github.com/dtolnay/zmij.

A market maker needs a premium to provide liquidity. If all else is equal, why would they take on execution time risk? This is a universal feature of continuous-trading Central Limit Order Books (CLOBs), not something unique to prediction markets.

I guess I am asking how we know Gemini and Claude relies on the additive residual stream. We don't know the architecture details for these closed models?

How do you know "GPT-5, Claude, Llama, Gemini. Under the hood, they all do the same thing: x+F(x)."?

I have a similar experience when I found out that claude code can use ssh to conect to remote server and diagnose any sysadmin issue there. It just feels really empowered.

I think it's likely someone already discovered this. It's just that info is not broadcasted to people who want to comment on this thread.

I can't find the source. Anyone can point to it?

This argument falls apart when you look at Rust and Cargo. uv is literally trying to be "Python's Cargo." The entire blueprint came from a flagship FOSS project.

Rust's development used a structured, community RFC process—endless planning by your definition. The result was a famously well-designed toolchain that the entire community praises. FOSS didn't hold it back; it made it good.

So no, commercial backing isn't the only way to ship something good. FOSS is more than capable to ship great software when done right.

It is now. But the limit on $20 plan is quite low and easy to use up.

Investment banks in Hong Kong were almost exclusively western back in the days with very few ethnic Chinese in senior management.

China is not the birthplace of so called '996'. Long before tech scene in China, there are a lot of investment banks doing that in HK especially for junior analysts. Calling 996 a China thing is just orientlalism. Everything bad is Chinese, everything good is western.

That's true. You would think LLM will condition its surprise completion to be more probable if it's in a joke context. I guess this only gets good when model really is good. It's similar that GPT 4.5 has better humor.