Etiket: Machine Learning

Moving beyond the slow, costly trial-and-error of RL, GEPA teaches AI systems to learn and improve using natural language.

Ultimately, model makers and enterprises are focusing on the wrong issue: They should be computing smarter, not harder.

The future will arrive with or without our guardrails. We must design AI’s structures now for a future of abundance rather than disruption.

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.

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.

Morris found it could also reproduce verbatim passages from copyrighted works, including three out of six book excerpts he tried.

For enterprise teams and commercial developers, this means the model can be embedded in products or fine-tuned.

While OpenAI’s GPT-5 is highly-performant, capable and an important step forward, it features just faint glimmers of true agentic AI. 

We could soon find ourselves deferring to AI assistants that botsplain our every experience in real time. Is this empowerment or deferral?

Google updated the Gemini app running of Gemini 2.5 Pro to reference all historical chats and offer new temporary chats.