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Anthropic's best AI model struggles to attract users as cheaper tools thrive

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411–420 of 740 posts

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#411
post #131

Earlier quoted context omitted.

Yep local models will be good enough for most things you need to do, in the same way as most people need a laptop not a supercomputer.

Well nobody thought you could write software that helps tightly coordinate processes happening simultaneously from millions upon millions of nodes on nearly every corner of the world, but here we are. When industry expands further off earth, we will need more complex and intricate software to coordinate its movements, why wouldn’t our systems become more powerful. If you are hopeful for humanity than you must expect…

Also, pairing a wireless mouse to a laptop is not getting easier as years pass.

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#412
It seems the people who aren't attracted to frontier models are the people who want to do the same they've always done, but just with new tools. I want to see what new things I can do, so of course I always want the latest and greatest. The stuff I've always done, I've already beaten to death.

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#413
post #113

Where Anthropic f'ed up was treating their monetization the way they treat model training. Turns out that success in experimentation is not transferrable. They have tried to find the highest that the market pays for sota models; however, on the consumer side, this is just too confusing and unsettling: "You can only use Fable for a week as a part of your plan" "Be ready! You have to start paying per token!" "Nevermind…

Not entirely sure how OpenAI is any different. Their quota system seems random to me. I can use up my quota in a single day, and the next day it gets refilled for no apparent reason. But another time, I also used up my quota in a single day, and there was no refresh; I was made to wait six more days.

To me, all of these are just exercises in getting me to pay for more tokens at API rates.

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#414
My first reaction to Fable was: "This is good for the bang" But as time passed the brittle software I noticed that without strict guidance it builds poor and brittle software.

If I need to write all the specification so it follows it, I might just write the code or use a cheaper model.

Opus 5 and Fable 5 have been quite disappointing.

I used sol, terra and Luna and I think they and the first two are good for first code reviews. Luna is not much better than deepseek V4 flash

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#417
post #166

The US government basically told them they can't sell "Fable" and so they aren't. That's probably 90% of the story. Once the government stepped in, their 5th generation was effectively killed. They either had to lock it up (Mythos), neuter it (Fable), or leave people with the perception they were overpaying for a weaker model (Opus 5). Hopefully Anthropic has learned to anticipate this risk and has a plan for rollout…

The government seems like it's in a rough spot. If they let Mythos out, they seem worried people could use it to mass-hack the internet. China seems to not care so much about this and they're right behind. I don't really know what the answer is.

The government isn't in a rough spot, they're just idiots. Chinese models already match Mythos in red-teaming. Anyone can use Chinese models any time they want. By holding people back from Mythos they're pushing people to Chinese models. And it worked: Chinese models now make up 70% of OpenRouter tokens (complete inversion from a year ago). Even if Chinese models weren't that great, anyone can fine-tune an open weight model specifically for red-teaming and it'll outperform any other model. So this was always going to happen.

A government staffed by logical, sane people would have figured out how not to encourage this, like mobilizing the IT and security industries to secure their products faster, while also cracking down on the "our AI is the most dangerous tool in the world" rhetoric bandied about by the frontier companies. But we don't have that, we have a government of Loony Tunes characters. When you put extremists in office you get extremist behavior.

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#418

Earlier quoted context omitted.

Funny I'm a physicist and worked as a power grid quant. Batteries aren't the answer.

Curious to hear your take on what the answer is?

Nuclear power, the answer hasn't changed since the 60s.

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#419
post #113

Where Anthropic f'ed up was treating their monetization the way they treat model training. Turns out that success in experimentation is not transferrable. They have tried to find the highest that the market pays for sota models; however, on the consumer side, this is just too confusing and unsettling: "You can only use Fable for a week as a part of your plan" "Be ready! You have to start paying per token!" "Nevermind…

They haven't communicated well the fact that the default model should be Sonnet 5, which should give you unlimited use for common coding tasks (say with occasional subagents use) on the Pro plan. Instead they're pushing Opus and even Fable, to try and get people addicted to the higher tier, without realizing that nearly everybody has a Sonnet for peanuts via DeepSeek V4 on OpenRouter, or completely free through Qwen 3.8 locally. I predict major trouble for Anthropic, now that OpenAI's models are closing in, are cheaper for daily use and don't have those silly 5 hours limits - and that Chinese models are getting really good and are even cheaper.

Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive

#420
post #408

Non-LLM user here. Why? Apart from the ecological issues, I'm very uncomfortable giving my organisation's crown jewels to {random_internet__corp}. Look at the lengths they go to for training data - 10M for Spirit's call logs? Destroying millions of obscure books to scan them? They make meth-heads look scrupulous. Your prompts, especially if they contain your entire codebase, are _way_ more data-rich than an airline p…

I’m not certain of that - I feel like the enterprise zero retention policy will be tight?

Once a thief, always a thief. I would not trust them to not have the communications buried deep in some log files in cold storage, to be digested when suitable.
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