491–500 of 740 posts
My company still hasn’t been able to deploy wide access to Fable because it’s not available on a ZDR basis. This wasn’t mentioned in the article but I imagine this factor is not irrelevant.
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…
The breaking point for me was the privacy violation. They've been fingerprinting every request and violating users' privacy hoping no one would notice. Too bad, someone found out and that was the day when I cancelled my subscription.
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It drove me to setup Qwen 3.8 this weekend. I couldn't see the value in just giving them money for a higher tier plan instead. I've never run a local LLM model before. Certainly won't take as long to iterate on this.
Qwen 3.8 is excellent. With the right harness, it does about 95% of what Opus can do, in my case automation software development. Since 3.8 came out, I have significantly revised my expectations for a local model. Give it another year or two, and we'll be running fast and free local models for nearly everything that matters, and these costly subscriptions will be a thing of the past. I've always believed that AI shou…
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…
OpenAI is also now actively discounting their model. They just offered a free month to users. Both companies seem spooked by what I have to imagine is slowing user growth.
But the agentic layer is being worked on, agents will start consuming more and more tokens
Transformer models are quickly becoming a commodity, and I suspect in time we'll all be running them locally. Even now, you can run something pretty useful on a 16 GB graphics card, and I suspect a decade into the future, entry level hardware will be running better models than high-end graphics cards can run now, as entry-level hardware gets better and models get more efficient. It doesn't mean hosted frontier models…
- 10-1000 person groups such as corporations where you can amortize serious hardware with parallel use
- Porn.
Wow the sentiment here is so negative. I'm on the $200 plan (work pays) and I also have the $20 OpenAI plan (I pay) and keep a balance on OpenRouter. There is nothing as good as Fable, not even close. I recently had it run a 18 hour autonomous rebuild of a project (moving from Spark to Pandas for performance/data size trade off issues). It orchestrated Opus sub-agents flawlessly for 18 hours. It even did a great job…
> There is nothing as good as Fable, not even close. This is true, but only for certain tasks. Even as a Fable fanboi, Sol is much better at Fable for some non-programming tasks: Fable for life-planning tasks is miserable because it keeps adjudicating rules, where I've found Sol to be insightful and warm (characteristics I'd previously associated with Anthropic models). We're probably less than a year away from all t…
I should have pointed out that I always prefer Sol for OpenSCAD for example.
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How do you know there wasn't account sharing though? I've seen some amazingly dodgy stuff when hiring people from south east Asia, sharing a paid account with friends worth a months rent there seems milquetoast in comparison.
> How do you know there wasn't account sharing though? Even if it was, it should be able to be sorted, maybe pay some overcharge or explain, and have your fucking business access re-instated.
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…
> So they _are_ going to train on them, no matter how many checkboxes you tick to stop them. This is the part that is truly scary. Nadella the CEO of MSFT wrote that post “ A frontier without an ecosystem is not stable” It seems to me that the unspoken assumption in that post is that no matter what happens they’re gonna be training on your data. He’s the CEO of Microsoft, he knows how these decisions go down, he know…
The frontier labs can have the models but without being where the workers are they cannot do much, lots of industries have strict requirements of not sending their data over to randos in the internet.
Microsoft and Google have the upper hand here with their workspace offerings and could easily position themselves as secure enclaves where you can use local LLMs where your data never leave your premises and is never used for training.
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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…