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Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.Read More
Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.Read More
TensorZero raises $7.3 million to build an open-source AI infrastructure stack that helps enterprises scale and optimize large language model (LLM) applications with unified tools for observability, fine-tuning, and experimentation.Read More
The future will arrive with or without our guardrails. We must design AI’s structures now for a future of abundance rather than disruption.Read More
How to close the loop between user behavior and LLM performance, and why human-in-the-loop systems are still essential in the age of gen AI.Read More
Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.Read More
New research reveals open-source AI models use up to 10 times more computing resources than closed alternatives, potentially negating cost advantages for enterprise deployments.Read More
While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true agentic AI. Read More
For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.Read More
Anthropic launches learning modes for Claude AI that guide users through step-by-step reasoning instead of providing direct answers, intensifying competition with OpenAI and Google in the booming AI education market.Read More
