Tag: Reddit

Saw this article today and it genuinely surprised me Meta has been using Gemini for customer service, ad tools, content moderation, all of it. and apparently chose it because it worked better than their own Llama models and then Google cut them off because Meta was consuming too much capacity. Now employees are being told to watch their token usage. This is the same company that was pushing staff to use more AI just a few months ago. Idk man, of all the companies to run out of AI capacity submitted by /u/Neil_at_HackerEarth [link] [comments]

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Over the past month, my opinions on Anthropic have drastically shifted. I’ve had 4 pro claude subscriptions and still have 2 currently. Google has released Gemma for open source models, OpenAI has released open source, xAI has released open source, Meta has released open source, literally every big AI lab has released open sourced models… Except Anthropic. Anthropic has not only not released a single open source model, they have for several years now been champions of the idea that open source AI is a bad thing and that’s it’s dangerous. The CEO uses mechanistic interpretability as the reason…which is so dumb. You can’t see inside of a model regardless, no one knows what happens inside of models. We know what happens but don’t know why. This is an open question in the field, including an e...

submitted by /u/KingMedia33 [link] [comments]

I’ve been thinking about a possible bridge between AI alignment, reward hacking, and transformational leadership. A lot of AI training seems behaviorally transactional at a simplified level: That makes sense, and I’m not arguing against it. But recent alignment work on reward hacking and emergent misalignment raises a deeper question: are we only shaping outputs, or are we also shaping something like a model’s functional “character”? I don’t mean character in the human-consciousness sense. I’m not claiming models have souls, feelings, or moral agency like humans do. I mean character operationally: stable tendencies that generalize across contexts, especially under pressure, ambiguity, incentives, or temptation. What caught my attention is research suggesting that when models are trained ...

We've seen huge progress in coding assistants, image generation, reasoning, and voice AI over the last few years. But what's one capability that you expected AI to be much better at by now, yet still feels disappointing? For me, it's long-term memory and maintaining context across complex, ongoing tasks. It has improved, but it still isn't as seamless as I'd hoped. submitted by /u/Sandesh_jagtap [link] [comments]

Something happened in the last two weeks that didn’t get nearly enough attention outside of tech circles. Anthropic released what are reportedly their most capable models yet, Fable 5 and Mythos 5. The Trump administration then ordered Anthropic to ban all foreign nationals from accessing them, citing cybersecurity concerns. Anthropic’s response? They shut down access entirely, saying they couldn’t reliably enforce a “foreign nationals only” restriction. The reason these models are so sensitive: they apparently have an unprecedented ability to identify software vulnerabilities. Not just theoretically, but at a level that genuinely alarmed the US government. Yesterday, OpenAI released GPT-5.6, a three-model family (Sol, Terra, and Luna). But it’s not available to you. Or me. Or proba...