971–980 of 1001 posts
Earlier quoted context omitted.
It almost appears as if the code was minified. The variable names are short and formatting looks like it's written to minimize whitespace. Did it write it in this compact format all on it's own?
"Readability by humans" may no longer be as important as it once was.
> Not only that, but we plan to release a new class of model with even higher intelligence than Opus. As part of Project Glasswing, a small number of organizations are currently using Claude Mythos Preview for cybersecurity work. Models of this capability level require stronger cyber safeguards before they can be generally released. We’re making swift progress on developing these safeguards and expect to be able to b…
> Probably more interesting It is widely suspected that self-inflicted "bad news" ("Mythos is so dangerous we just can't give the public access to it") is nothing more than Dario's typical style of marketing - keep in mind that they have an IPO coming up, because he certainly factors that into everything he says in public (as is his responsibility, to be fair). An alternative reason for delaying the model might not b…
Do you have any data on this (other than benchmarks)?
Early ArtificialAnalysis.ai results show GPT 5.5 is still the better bang-for-your-buck. OpenAI solves tasks with about 50% less output tokens. https://artificialanalysis.ai/?intelligence=coding-index&int...
It's not magic, but for the value I get, I have no problem paying $100/month.
If I was forced to use API-usage pricing, then all of a sudden, switching models, limiting token usage, using "lower effort thinking" modes, etc., would become a thing.
There is a hole in the boat's bottom due to Chinese models. They might not be as good but they are not bad either or at least I had hard time finding any issues with Deepseekv4 Flash and Pro variants. They get their job done sometimes rarely giving up till they are done what they are after. So even for enterprise deployments, as the dust settles down, CFO/CTOs might find out that deploying on an internal cluster of G…
I had been saying this on HN repeatedly: people are going to use the smartest models for coding. They don't care how cheap your tokens are if they don't have the highest probability of solving your programming tasks. And I was dead wrong. Now I mostly use DeepSeek Pro myself.
There is a hole in the boat's bottom due to Chinese models. They might not be as good but they are not bad either or at least I had hard time finding any issues with Deepseekv4 Flash and Pro variants. They get their job done sometimes rarely giving up till they are done what they are after. So even for enterprise deployments, as the dust settles down, CFO/CTOs might find out that deploying on an internal cluster of G…
Anybody know what the most capable Chinese model is that can be used in production and is cheaper than US frontier models? Would that still be Deepseek? My interest is getting as close to Gpt5.5 or Opus quality as I can get, but for less $.
My fav coding benchmark for frontier models is to build a simple RTS game in one file (js/html/css). Claude Code with Opus 4.8 in ultracode mode nailed it, the best result so far: https://bsky.app/profile/senko.net/post/3mmwnrkwboc2v The prompt was: Create a simple but functional real time strategy (RTS) game similar to old WarCraft, StarCraft or Command & Conquer games. The player should be able to build buildings,…
I've been tasking LLMs to write a traditional AI for a full vibe-coded RTS. I remove the human players and let them battle. I don't know why but I enjoy watching AI players battle so much :) In the repo, I even have a tournament script that calculates ELOs. So far, codex was unmatched. I'll try with Opus 4.8 too. https://egeozcan.github.io/unnamed_rts/game/ https://github.com/egeozcan/unnamed_rts/blob/main/src/script…
A rambling comment: I think this is the first time we've had a third minor version bump on a frontier Anthropic model. (I count the 0.5s as major here, because they've been issued non-sequentially and also corresponded to massive capability leaps, eg, Sonnet 3.5, Opus 4.5). So now the Opus 4.5 family has successors 4.6, 4.7, and 4.8, each posting fairly modest claimed gains. My own experience w/ 4.6 and 4.7 are that…
I won't be surprised if the next gen frontier models are the last. There's orders of magnitude of low hanging juice to squeeze out of smaller models. It is almost guaranteed that a 60-90B model can outperform current SOTA in coding tasks within 2-3 years (design not certain, probably unlikely). It is far less clear that a 1.2T model will be meaningfully better enough to justify training it. As far as reasoning is con…
But there is a ton of juice left to squeeze when it comes to post-training/RL for a ton of useful things in practice, right? It’s been amazing seeing how good modern model tool use is for example, and I bet there is a lot of room for improvement still (no doubt that a ton of improvement can be made more easily on the agent harness front or via post-training regimes like LoRa (which does support to your point about diminishing pre-training juice))