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

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441–450 of 740 posts

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

#441
post #230

Earlier quoted context omitted.

My wife's startup made the mistake of building her internal operations around Claude Team. Then she hired a VA in the Philippines. Anthropic promptly banned her account without warning once the VA connected to the account. It took her weeks to get her account reinstated, at which point she had already moved on to OpenAI.

How many big tech companies let you talk to a human to get support. Automation is wonderful to cut cost for them but for the users being unable to get support is a horrible experience. But you cannot go elsewhere because they are the only player in town. How can small companies with 1000x less money able to provide live support, but if you pay 20, 100, 200 dollars for a subscription you dont have a phone number to ca…

I think about 10% of my SaaS company is in the support department, no outsourced support at all. We have about 50k paying customers.

You message support, some real person reads and gets back to you within a day.

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

#442

Earlier quoted context omitted.

Yeah, I agree with this. The constant state of "...will the rug be pulled?!?" does discourage relying on it as a model and building a workflow on it. Anthropic used to just be a reliable thing you could play with. Now it's this constant source of anxiety. It also didn't help that the government yanked it which adds another source of anxiety since OpenAI is on much better terms with the administration and the administ…

As soon as I started using Fable I was like, okay, this is probably as good a model as I will need for software engineering going forward. I still feel that way. I don’t need a better model, I need a faster Fable. The thing I miss most about programming is flow, and the constant bouncing between terminal tabs sucks. I’d love to do one thing at a time, with Fable, quickly.

I _still_ haven't actually been able to _use_ Fable at all. Those safeguards just refuse biology in general.

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

#443

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…

>Apart from the ecological issues, Complete nothingburger. Actually worse than that, its a London Horse Manure crisis. >Destroying millions of obscure books to scan them? I really don't see the issue. They got slapped in the face for trying to do things the right way and torrent the lot. Why wouldn't they exercise their legal right to buy physical items and create digital backups? >They make meth-heads look scrupulou…

"Doing things the right way" lol ... I mean, I am fine with it, if for now and ever after we are all free to "do it the right way with torrents". But some are more equal than others in this world, so naturally even if this was tolerated, it would not extend to us and our freedoms.

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

#444

Earlier quoted context omitted.

There clearly was account sharing, someone logged into the wife's account from the Phillipines.

Well a VA would need access to her account, just like how they would need email access etc. But Anthropic has clearly picked the enterprise side of things, small teams and startups without millions of dollars in token budgets are irrelevant to them. I’m surprised they even got their account back to be honest.

And yet enterprises will be the first to move to on-prem LLMs as soon as they become feasible. The next generation of TPU chips already promises 5x efficiency and enough RAM to run a 1TB+ model, and Kimi K3 is about as good as Fable for a lot of tasks, so we'll be there much sooner than anyone anticipated.

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

#445
post #102

For many coders including myself, LLM based coding agents work well enough to be useful, and in some cases worth paying for. What I don't see is vast areas of industry finding $10s to $100s of billions of value in LLMs. There's no lint or compiler that can check for correctly constructed contracts. So LLMs, which should be useful to law firms, incur a lot more manual checking of their work than coding agents. Less fo…

While there's no linter for writing contracts, my experience (as a commercial lawyer) is that frontier LLMs are far better and error checking and far quicker at writing than the average senior lawyer. The main thing holding back further deployment (in my jurisdiction) are concerns around data residency, privilege and how fundamentally it will break an industry that is so heavily reliant on time based billing.

>my experience (as a commercial lawyer)

How do you think the industry will respond to contract clause slop ??

I can foresee each side inserting 100s of innocent clauses with minute dependencies that provide hidden advanatges

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

#446

Earlier quoted context omitted.

Be careful, this is against ToS and they bill ban you.

It's not, at least for now. Various staff members have confirmed this.

Separate accounts for work and personal projects is ok. Using multiple accounts to bypass usage limits for the same project is explicitly against ToS.

One of Anthropic’s problems though is that the legalese will say one thing, while key employees say something totally different on HN or X. At the end of the day the lawyers always win.

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

#447
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…

> Wait, now it's up to half your usage

It doesn't help that all their models are bow trained to waste as many tokens as possible with their extremely verbose output

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

#448

Earlier quoted context omitted.

Yeah, I agree with this. The constant state of "...will the rug be pulled?!?" does discourage relying on it as a model and building a workflow on it. Anthropic used to just be a reliable thing you could play with. Now it's this constant source of anxiety. It also didn't help that the government yanked it which adds another source of anxiety since OpenAI is on much better terms with the administration and the administ…

As soon as I started using Fable I was like, okay, this is probably as good a model as I will need for software engineering going forward. I still feel that way. I don’t need a better model, I need a faster Fable. The thing I miss most about programming is flow, and the constant bouncing between terminal tabs sucks. I’d love to do one thing at a time, with Fable, quickly.

A faster Fable -- So you mean a model that's smaller, yet delivers the same quality of responses, ergo a better model?

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

#450

Earlier quoted context omitted.

The claude -p thing was doubly stupid because they quietly allowed it again a couple of weeks later, so they pissed off developers for nothing

Wait, it's allowed again? Completely missed that. Been avoiding to use it and trying to find workarounds, not great.

I can't find the page now but yes they quietly "paused" the June 15th rollout of API pricing for -p headless. Presumably to come back again one day.
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