I'm really running into this deep at the edges of content creation. Take, for example, a need to general some kind of legal work. The cost of painstakingly checking and rechecking each case cited is reducing the value of these frontier models immensely.
Coding, however, is solved like magic. Easier to add tests, to be fair.
Is there a good benchmark tracking hallucinations? The models are all incredibly good now, even the open ones, and my hope is that the rate of hallucinations is something that's falling off in concert with larger and larger context lengths.
This is a tough moment. Claude is simultaneously becoming substantially more expensive, substantially less reliable (single 9 of reliability), and substantially less performant. It's really hard to justify the cost of a subscription over there right now.
I wonder how this kind of response from Anthropic is actually being read by the community at large. If you consider the rough sentiment of the r/ClaudeCode subreddit against the r/Codex subreddit, you can see that there is a definite loudness among the folks departing ClaudeCode for Codex. Something big is shifting on the ground, I think.
Mythos is only real when it's actually available. If you're using Opus 4.7 right now, you know how incredibly nerfed the Opus autonomy is in service of perceived safety. I'm not so confident this will be as great as Anthropic wants us to believe..
I've found myself so deeply embedded in the Claude Max subscription that I'm worried about potentially makign a switch. How are people making sure they stay nimble enough not to get trarpped by one company's ecosystem over another? For what it's worth, Opus 4.7 has not been a step up and it's come with an enormously higher usage of the subscription Anthropic offers making the entire offering double worse.
The real problem is that scientists doing this sort of early work more often than not want to burn hardware under their desks. Renting infrastructure in Google cloud isn't the only way...
I am hopeful that OpenAI will potentially offer clarity on their loss-leading subscription model. I'd prefer to know the real cost of a token from OpenAI as opposed to praying the venture-funded tokens will always be this cheap.
I've been looking for broken 3090s for a short while. And the whole market is funny. Most of these devices have had their VRAM and GPUs physically harvested (for no clear reason). The ones that are truly broken, however, are still trading in the ~$300 range making me think they're destined for more harvesting. Where are people buying these repairable GPUs? I'd gladly take the gamble for fun, honestly, less profit.
This is the rugpull that is starting to push me to reconsider my use of Claude subscriptions. The "free ride" part of this being funded as a loss leader is coming to a close. While we break away from Claude, my hope is that I can continue to send simple problems to very smart local llms (qwen 3.6, I see you) and reserve Claude for purely extreme problems appropriate for it's extreme price.
First, making sure to offer an upvote here. I happen to be VERY enthusiastic about local models, but I've found them to be incredibly hard to host, incredibly hard to harness, and, despite everything, remarkably powerful if you are willing to suffer really poor token/second performance...
Have they effectively communicated what a 20x or 10x Claude subscription actually means? And with Claude 4.7 increasing usage by 1.35x does that mean a 20x plan is now really a 13x plan (no token increase on the subscription) or a 27x plan (more tokens given to compensate for more computer cost) relative to Claude Opus 4.6?
Have they effectively communicated what a 20x or 10x Claude subscription actually means? And with Claude 4.7 increasing usage by 1.35x does that mean a 20x plan is now really a 13x plan (no token increase on the subscription) or a 27x plan (more tokens given to compensate for more computer cost) relative to Claude Opus 4.6?
I'm broadly curious how people are using these local models. Literally, how are they attaching harnesses to this and finding more value than just renting tokens from Anthropic of OpenAI?
I'm honestly curious who on these plans that's not working with an unlimited enterprise budget would even choose to burn real dollars like this beyond the subscription? What is the personal use case? It seems exorbitantly expensive after you've exhausted your subscription.
There's a weird 'token anxiety' you get on these platforms. And you basically don't know how much of this 'limit' you may consume at any time. And you actually don't even know what the 'limit' is or how it's calculated. So far, people have just assumed Anthropic will do the kind thing and give you more than you could ever use...
As crazy as this seems, it's unlocking another variation of software engineering I didn't think was accessible. Previously, super entrenched and wicked expensive systems that might have taken years of engineering effort, appear to be ripe for disruption suddenly. The era of software systems with deeply engineered connectivity seem to be on the outs...