So what's changed to make these models so much more capable? Quite a bit, actually. The past year has seen a flurry of advancements not only in model training, but also in the frameworks necessary to harness them. You may recall the market tumbling excitement around DeepSeek R1, which was among the first open-weights frontier models to employ reinforcement learning (RL) to replicate GPT-o1's chain-of-thought reasoning to trade time for higher quality outputs. This approach, now referred to as test-time scaling, has helped smaller models make up for their lower parameter counts by "thinking" fo
The AI divide putting open weights models in spotlightThe ability to run local agents with access to proprietary data doesn't has particular benefits. For one, while these models are open, there is still a degree of lock-in. Any agents built with these models will have system prompts and tooling that have been tuned to that specific architecture. It's about being able to reach markets that bigger models can't, Buss explained. "If you have people developing using your technologies and approaches and IP, they're more likely to migrate up and stay in your ecosystem," he said. "It's a matter of basically having a product at the entry point... If you
The AI divide putting open weights models in spotlight… These frameworks mean that models aren't limited to training data; they can retrieve information from the web, databases, and APIs, and take action based on the results through tool calls. Google and Nvidia's models have been trained specifically with function calling in mind. …
… A historic dearth of data and ensuing under-investment in female-specific training and support is holding too many women athletes back. There are many reasons for this lack of information. This includes women's late access to professional competitions, cultural bias, and lower levels of sponsorship. …
… So will the second part of Broadcom’s announcement: a “Supply Assurance Agreement for Broadcom to supply networking and other components to be used in Google’s next-generation AI racks through up to 2031.” Broadcom’s filing also revealed one user of Google’s next-gen TPU will be Anthropic, which st… …
… "But Cursor doesn't want to do that, because it's been trained not to." Cursor, which heavily uses Anthropic's Claude models, has guardrails that prevent it from accessing and exfiltrating secrets. …
… Previously, Google's Gemma license had prohibited use of the models in certain scenarios and reserved the right to terminate a user's access if they didn't play by the rules. …