… Where open-weight AI models come from is also dramatically different to where closed models originate, as most of the serious releases this year have come out of Chinese labs. Aside from OpenAI's gpt-oss models and Google's Gemma 4 models, there hasn't really been an answer. …
… But everything changed when I stopped chasing raw parameter counts and started looking at lean, optimized models. And then I came across Google’s recently released Gemma 4 models and decided to give it a shot via the LM Studio . …
… Sign in to your XDA account Summary The AI race is heating up as companies release stronger models rapidly. Anthropic's Opus 4.7 boosts coding, handles long complex tasks, and self-verifies outputs. Available now: the most capable public model outside Mythos/Glasswing access. …
… For many, the most anticipated release in the entire wave was Anthropic's newest flagship model, Opus 4.7 . Now, people expressing their disappointment when a new model drops is nothing new. Every release cycle comes with enraged users. …
… Any signs of slacking or lagging behind may permanently set the company back relative to its peers, so everyone is doing their best to release new models regularly. OpenAI is no exception, and now, the company has just released GPT-5.5. …
… Sign in to your XDA account Claude and its many models have been popular with seasoned developers, vibe coders , and everyone else in between, but Anthropic's latest announcement is a departure from anything it has released before. …
… Four models from the same DNA A different focus for each The biggest shift with Gemma 4 is that Google didn't just release a set of similar models at different sizes and call it a day. …
… It's very likely that these cards will be released above their original MSRP. The 8 GB model doesn't actually have a set MSRP by Nvidia, so based on the the launch price of its bigger brother, I expect a relaunched RTX 3060 to land around $350 USD. …
… Unlike when a new GPT version releases, it's OpenAI that hosts a model, and that's the only place the model exists. …
… AI models are now building themselves, and research on their interactions can't run until the models are released to researchers. It's the same lag when building tools for AI, in that you hope that the models won't get powerful enough to make your tools obsolete by the time you've released them. …