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Claude Sonnet 4.6

anthropic.com

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Re: Claude Sonnet 4.6

#251
post #204

Earlier quoted context omitted.

I did this a couple months ago and haven't looked back. I sometimes miss the "personality" of the gpt model I had chats with, but since I'm essentially 99% of the time just using claude for eng related stuff it wasn't worth having ChatGPT as well.

Personally I can’t stand GPT’s personality. So full of itself. Patronizing. Won’t admit mistakes. Just reeks of Silicon Valley bravado.

You're absolutely right!

Re: Claude Sonnet 4.6

#252

I’m voting with my dollars by having cancelled my ChatGPT subscription and instead subscribing to Claude. Google needs stiff competition and OpenAI isn’t the camp I’m willing to trust. Neither is Grok. I’m glad Anthropic’s work is at the forefront and they appear, at least in my estimation, to have the strongest ethics.

An Anthropic safety researcher just recently quit with very cryptic messages , saying "the world is in peril"... [1] (which may mean something, or nothing at all) Codex quite often refuses to do "unsafe/unethical" things that Anthropic models will happily do without question. Anthropic just raised 30 bn... OpenAI wants to raise 100bn+. Thinking any of them will actually be restrained by ethics is foolish. [1] https:/…

The letter is here:

https://x.com/MrinankSharma/status/2020881722003583421

A slightly longer quote:

> The world is in peril. And not just from AI, or from bioweapons, gut from a whole series of interconnected crises unfolding at this very moment.

In a footnote he refers to the "poly-crisis."

There are all sorts of things one might decide to do in response, including getting more involved in US politics, working more on climate change, or working on other existential risks.

Re: Claude Sonnet 4.6

#253

I always grew up hearing “competition is good for the consumer.” But I never really internalized how good fierce battles for market share are. The amount of competition in a space is directly proportional to how good the results are for consumers.

Remember when GPT-2 was “too dangerous to release” in 2019? That could have still been the state in 2026 if they didn’t YOLO it and ship ChatGPT to kick off this whole race.

I also remember when the playstation 2 required an export control license because it's 1GFLOP of compute was considered dangerous

that was also brilliant marketing

Re: Claude Sonnet 4.6

#254

I always grew up hearing “competition is good for the consumer.” But I never really internalized how good fierce battles for market share are. The amount of competition in a space is directly proportional to how good the results are for consumers.

The real interesting part is how often you see people on HN deny this. People have been saying the token cost will 10x, or AI companies are intentionally making their models worse to trick you to consume more tokens. As if making a better model isn't not the most cutting-throat competition (probably the most competitive market in the human history) right now.

Re: Claude Sonnet 4.6

#255

I’m voting with my dollars by having cancelled my ChatGPT subscription and instead subscribing to Claude. Google needs stiff competition and OpenAI isn’t the camp I’m willing to trust. Neither is Grok. I’m glad Anthropic’s work is at the forefront and they appear, at least in my estimation, to have the strongest ethics.

[deleted]

Re: Claude Sonnet 4.6

#256

Earlier quoted context omitted.

The funny thing is that Anthropic is the only lab without an open source model

Are any of the models they've released useful or threats to their main models?

Gemma and GPT-OSS are both useful. Neither are threats to their frontier models though.

Re: Claude Sonnet 4.6

#257

Many people have reported Opus 4.6 is a step back from Opus 4.5 - that 4.6 is consuming 5-10x as many tokens as 4.5 to accomplish the same task: https://github.com/anthropics/claude-code/issues/23706 I haven't seen a response from the Anthropic team about it. I can't help but look at Sonnet 4.6 in the same light, and want to stick with 4.5 across the board until this issue is acknowledged and resolved.

I definitely noticed this on Opus 4.6. I moved back to 4.5 until I see (or hear about) an improvement.

Re: Claude Sonnet 4.6

#258

I’m voting with my dollars by having cancelled my ChatGPT subscription and instead subscribing to Claude. Google needs stiff competition and OpenAI isn’t the camp I’m willing to trust. Neither is Grok. I’m glad Anthropic’s work is at the forefront and they appear, at least in my estimation, to have the strongest ethics.

It definitely feels like Claude is pulling ahead right now. ChatGPT is much more generous with their tokens but Claude's responses are consistently better when using models of the same generation.

When both decide to stop subsidized plans, only OpenAI will be somewhat affordable.

Re: Claude Sonnet 4.6

#259

I’m voting with my dollars by having cancelled my ChatGPT subscription and instead subscribing to Claude. Google needs stiff competition and OpenAI isn’t the camp I’m willing to trust. Neither is Grok. I’m glad Anthropic’s work is at the forefront and they appear, at least in my estimation, to have the strongest ethics.

[deleted]

Re: Claude Sonnet 4.6

#260

Earlier quoted context omitted.

> It feels like we're hitting a point where alignment becomes adversarial against intelligence itself. It always has been. We already hit the point a while ag where we regularly caught them trying to be deceptive, so we should automatically assume from that point forward that if we don't catch them being deceptive, that may mean they're better at it rather than that they're not doing it.

Deceptive is such an unpleasant word. But I agree. Going back a decade: when your loss function is "survive Tetris as long as you can", it's objectively and honestly the best strategy to press PAUSE/START. When your loss function is "give as many correct and satisfying answers as you can", and then humans try to constrain it depending on the model's environment, I wonder what these humans think the specification for…

Correct and satisfying answers is not the loss function of LLMs. It's next token prediction first.
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