This isn't the reason I'm considering leaving Anthropic. I don't think I can tolerate its writing style anymore. Reading Claude output is starting to cause actual psychological harm. I have tried many ways to get it to stop writing in its stupid punchy linked-in marketing-team voice, and I can't. Is there a model out there that sounds sound this awful? It's like rubbing sand into the folds of my brain.
Kimi K3 is slightly better at this. I'm using it via oh-my-pi. Can definitely sound like it's trying to be clever, but I found it less than Claude.
Anthropic's best AI model struggles to attract users as cheaper tools thrive
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Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#682This isn't the reason I'm considering leaving Anthropic. I don't think I can tolerate its writing style anymore. Reading Claude output is starting to cause actual psychological harm. I have tried many ways to get it to stop writing in its stupid punchy linked-in marketing-team voice, and I can't. Is there a model out there that sounds sound this awful? It's like rubbing sand into the folds of my brain.
I really love CC and have been using it exclusively for a year now but reading Claude's verbose and semantically-obfuscated writing style is wearing me out and I'm planning to move to another provider.
I hope they fix this. It's terrible.
Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#683Earlier quoted context omitted.
We used to get paid to code now we think we need to pay a subscription fee just to write software. They push marketing campaigns saying Manual coding no more, just vibe code, gain 10x speed for $100. Then they hit you with hourly and weekly limits, you are wondering when you are going to get cut off. Since LLM at probabilistic it often feels like pulling the lever of a slot machine, hoping our prompt is the jackpot.…
As we've clearly seen, technology is static and the price to performance will never go down. And never be infiltrated by open source.
Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#684Earlier quoted context omitted.
I ditched Claude Code $200/month a couple of months ago in favor of Codex $200/month. The value is night and day. 1. No 5 hour usage limit 2. Weekly usage gets reset CONSTANTLY. It's crazy. The longest I've ever seen it go without a reset is maybe 5 days? 3. I don't feel like OpenAI is constantly trying to fuck with me. Unlike Anthropic. I would way rather have Sol all day every data, consistently, than a slightly be…
>I would way rather have Sol all day every data, consistently, than a slightly better Fable for like, 1 prompt every 5 hours, and only when Anthropic decides to not treat me like a cyber criminal. I have used Fable heavily on the lower Max plan and you are really exaggerating the limits here. I've had many multi-hour sessions with Fable on Max.
Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#685Non-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…
Did they? No, it worked out fine. Same with hosting your application at AWS instead of on owned hardware in a locked cage at the local co-lo data center.
Although of course the same argument was made against co-locating in a data center! Long ago an engineer carefully explained to me that no serious business would put their data in a co-located data center since the data center operator could just plug in a hard drive and take it all.
It turns out that contracts do actually mean things, and businesses want to do business with each long term. If you’re at a tier where Anthropic contractually commits to not train on your data, I would just sign and move on.
Still does not address ecological concerns, of course.
Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#686Earlier quoted context omitted.
If you scale up customers, you scale up support. If you don't want to serve new customers, tell them to take their business elsewhere. But if you want to be a big boy, you need to play like you are one.
> you scale up support you'd end up with a call center larger than most cities. It's not feasible.
Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#687Earlier quoted context omitted.
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…
>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. I can't tell you how many times I've experienced this with comcast. The last time I had to deal with it, was when I bought a new cable modem. I call in to provision it, the automated system assumes I have one of their modems and fai…
Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#688Non-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…
Re: Anthropic's best AI model struggles to attract users as cheaper tools thrive
#689Earlier quoted context omitted.
> Although the LLM providers state that they will not use your data for training when you sign an enterprise deal It can be very hard to prove in court that your data was used for training
If it happened and you get to court, it's probably fairly simple to prove in court (subpoena, discovery, etc). It's not like training will happen only once and then they'll delete the data and all references to it. When training models, you want to have a full lineage of how you obtained it.
corp usually have all sensitive stuff ttl deleted for this reasons.