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theLiminator

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Maybe something like Hylo? But personally I don't see anything displacing rust for the next few years, as I think there's enough rust in the training data for it to be the best "serious" language for agentic systems-level development.

It's really the only systems language in its exact niche.

That's the power of a strong test suite. LLMs excel when you have verifiable rewards. I imagine we'll get a lot more rewritten in rust projects in the future. Rust is also an ideal target for such rewrites as it offers a lot of verification (via its type system) and is low overhead with zero-gc. There's less and less reason to use GC'd languages in the agentic coding era.

I think Rust is a locally optimal target for LLM coding, we might see a better language in the future, but I think Rust will dominate for quite some time.

If anything I think discipline and rigor will go up.

I think it will force us to adopt stronger type systems, formal methods, and more automated verification.

Claude Sonnet 5 22 days ago

Seems like the way to go for any smaller models is to only use the low reasoning levels, and for anything where you'd want it to reason harder, to just use a larger model.

In effect, high reasoning only makes sense when you're using the frontier model and need extra performance (higher levels of reasoning are never pareto optimal unless you're at the largest model size).

I personally skip breakfast and just eat lunch and dinner.

I'm not very active, and I've found that doing that as well as not eating snacks, sugar, or having calories in drinks makes it pretty easy to roughly be calorically neutral day to day.

But, history says the supercomputer of today will fit in your pocket in a few years.

I don't think this will be true in the same time span anymore. Each miniaturization is costing more and more money.

Perhaps they'll come up with exotic fundamental improvements, but I don't think the rate of improvement of compute/watt will match the previous decades.

Claude Fable 5 1 month ago

it's a cat and mouse game that favors the defenders IMO

How so? I'm actually against most of the "safety-tuning" that anthropic does, but this seems fundamentally untrue, a close analogue being video game cheat development. I think in general the cheat developer has an advantage and the cheats generally proliferate for quite a while before being patched.

Claude Fable 5 1 month ago

This is pretty bullshit, now you have no idea if your output is getting silently nerfed.

Claude Fable 5 1 month ago

We have also added safeguards related to frontier LLM development. As discussed in Section 6.1 of our February 2026 Risk Report, we are concerned about the risks of accelerating the overall pace of AI development, though we remain uncertain about the severity of these risks. In particular, our concern is with—as we wrote then—“accelerating other AI developers in building powerful AI systems that pose similar risks to the ones ours pose - without necessarily having commensurate safeguards.” In light of the ability of recent models to accelerate their own development, we’ve implemented new interventions that limit Claude’s effectiveness for requests targeting frontier LLM development (for example, on building pretraining pipelines, distributed training infrastructure, or ML accelerator design). Using Claude to develop competing models already violates our Terms of Service, but enforcing this restriction through our safeguards avoids accelerating the actors most willing to violate these terms. Unlike our interventions for cybersecurity, biology and chemistry, and distillation attempts, these safeguards will not be visible to the user. Fable 5 will not fall back to a different model. Instead, the safeguards will limit effectiveness through methods such as prompt modification, steering vectors, or parameter-efficient fine-tuning (PEFT). These interventions will not affect the vast majority of coding work. We estimate they will impact ~0.03% of traffic, concentrated in fewer than 0.1% of organizations. When these interventions are active, we expect them to have minimal behavioral impact on the model except to limit its effectiveness in developing frontier LLMs. Claude will still respond helpfully to user requests. We’ll continue to improve the precision of our detection methods following the launch of this model.

This seems pretty bullshit, you're paying through the nose for tokens and if you are doing anything ML-adjacent, you might silently get worse output without knowing it.

This would have a massive chilling effect on the private sector as a whole. IMO it would completely destroy investment in America. American companies and markets get extraordinary investor interest due to strong property rights. Once those rights are gone there will be massive capital flight and greatly reduced investment.

Imo this proposal is even worse than a billionaire wealth tax (which has all sorts of implementation issues).

Writing software has never been difficult.

That's not true at all, sure CRUD might not have been that difficult, but absolutely there is extremely complicated software out there that is really difficult to write in a performant and correct manner.

Is there not a reason to instead port claude code to rust? Do you have internal benchmarks that show that claude code is better at typescript than rust?

GPT-5.5 3 months ago

Productivity metrics were better when businesses were run on just pen and paper

What metrics are these?

Yeah, I hate that quote too. People take it so out of context and even ignore engineering for reasonable performance out of the box.

I don't blame Knuth, he's talking about focusing on micro-optimizations, but a lot of devs nowadays don't even care to get basic performance right.

Yeah, my theory is that Rust is going to be a somewhat "local optima" for a while for LLMs.

LLMs have a couple major problem, they hallucinate and make mistakes. So the ideal way to use them is to constrain them as much as possible with formal methods. Rust's type system is a formal proof of some forms of correctness, this will let "vibe-coding" work to a much higher degree than with other languages.

In the very long run, I suspect that all vibe-coding will actually occur in a language with dependent types and we'll push as much as possible into being proven correct at compile-time. Since the cost of generating code is plummeting, and thus the sheer volume of code will be exponentially rising, this is the only way to prevent an unsurmountable mountain of errors.

Formal methods and LLMs are a match made in heaven.

ARC-AGI-3 4 months ago

Lol basically we're saying AI isn't AI if we utilize the strength of computers (being able to compute). There's no reason why AGI should have to be as "sample efficient" as humans if it can achieve the same result in less time.

HN in general always does this. I got a lot of push back when I said that in general consumers don't care at all about open source, and the majority of them probably have no clue what it even means.

You can really sense the SF-centric bubble HN lives in.