models aren’t so great at doing novel research (yet)
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models aren’t so great at doing novel research (yet)
Over the coming months, labs ship general-purpose robotics model suites that bridge vision-language understanding to physical navigation and manipulation, pushing foundation models into embodied action.
shows that hardware will get more specialized for compute tasks
Large platform companies increasingly convert in-house frontier models into metered, incumbent-compatible APIs, competing on switching cost and distribution rather than pure capability.
fable 5 and gpt5.6sol wont let u actually create PoCs... you get flagged as a security threat (i've tried)
As capital floods AI, the narratives labs use to raise money and shape rules face growing public scrutiny, and the market increasingly separates verifiable capability and revenue from rhetoric on both the bullish and the cautionary side.
Over the next 3-6 months, smaller efficient architectures and inference-cost optimizations push capable AI off the cloud and onto laptops, phones, and mobile NPUs.
AI agents increasingly run end-to-end intrusions, chaining supply-chain footholds into privilege escalation and credential theft at machine speed, outpacing human and current automated defenses.
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