Anthropic introduces “dreaming,” a system that lets AI agents learn from their own mistakes
Anthropic on Tuesday unveiled a suite of updates to its Claude Managed Agents platform at its second annual Code with Claude developer conference in San Francisco, introducing a new...
How Sakana trained a 7B model to orchestrate GPT-5, Claude Sonnet 4 and Gemini 2.5 Pro
Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate....
Meet ZAYA1-8B, a super efficient, open reasoning model trained on AMD Instinct MI300 GPUs
Even as leading AI providers like OpenAI and Anthropic battle over the compute to train and release ever larger, more powerful models, other labs are going in a different...
Anthropic Skill scanners passed every check. The malicious code rode in on a test file.
Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is...
Why AI breaks without context — and how to fix it
Presented by Zeta Global The gap between what AI promises and what it delivers is not subtle. The same model can produce precise, useful output in one system and...
Market research is too slow for the AI era, so Brox built 60,000 identical ‘digital twins’ of real people you can survey instantly, repeatedly
In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional market research cycle — often spanning 12 weeks —...