Venture Beat

• This researcher turned OpenAI’s open weights model gpt-oss-20b into a non-reasoning ‘base’ model with less alignment, more freedom

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

• That ‘cheap’ open-source AI model is actually burning through your compute budget

  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.

• Gartner: GPT-5 is here, but the infrastructure to support true agentic AI isn’t (yet)

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

• Google unveils ultra-small and efficient open source AI model Gemma 3 270M that can run on smartphones

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

• Anthropic takes on OpenAI and Google with new Claude AI features designed for students and developers

  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.