MIT’s new fine-tuning method lets LLMs learn new skills without losing old ones

When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill. Researchers at MIT, the Improbable AI Lab and ETH Zurich have developed a new technique that enables large language models to learn new skills and knowledge without forgetting their past…

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Why most AI rollouts fail

Many companies treat AI as another IT rollout, but successfully scaling AI across an organization requires a different approach. Artificial intelligence has shifted from an experiment to an expectation. Boards push CEOs about ROI. CEOs launch enterprise rollouts. Leaders invest in tools, platforms, and governance. Yet adoption still stalls. Work-arounds spread. Risk grows. Value lags.

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Highguard’s developer reportedly lays off ‘most’ of its staff just over two weeks after launch

Highguard, a new multiplayer shooter from developers who worked on games like Apex Legends and Call of Duty, launched just over two weeks ago, but developer Wildlight Entertainment is already cutting jobs at the company, according to posts from affected staffers on LinkedIn. Former Wildlight level designer Alex Graner says that “most of the team…

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z.ai’s open source GLM-5 achieves record low hallucination rate and leverages new RL ‘slime’ technique

Chinese AI startup Zhupai aka z.ai is back this week with an eye-popping new frontier large language model: GLM-5. The latest in z.ai’s ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for enterprise deployment – and, in one of several notable achievements, achieves a record-low hallucination rate on…

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