Today's Hallucination HQAnthropic Decides Playing Doctor Wasn't Enough
Anthropic has launched Claude Science, a unified workbench giving researchers one environment for fragmented tools, datasets, and auto-generated figures — instead of the usual seventeen browser tabs and a prayer. The company, which already has a stranglehold on AI coding, is now pointing Claude at drug discovery. Whether this produces breakthrough medicine or very confident hallucinations about molecular bonds remains, scientifically speaking, an open question.
Source: The Verge
Suspicious Timing, But Surely Just A Coincidence
Researchers at Epoch AI have noticed something mildly awkward: serious software vulnerabilities — the kind rated "critical" — spiked noticeably around the release of Claude's Sonnet Preview model. Epoch is careful not to claim causation, which is the responsible thing to do. That said, if your neighbour's fence keeps falling down every time a particular lorry drives past, you do eventually start writing things down.
Source: Hacker News / Epoch AI
World's Most Famous AI Researcher Would Like A Word
Yann LeCun — Meta's Chief AI Scientist and the field's most prominent contrarian — has reiterated his view that current AI systems are, bluntly, not very smart. His argument: today's models lack the flexible, common-sense reasoning that humans manage before their first coffee. LeCun is now backing a startup developing more adaptable AI architecture. Whether it will succeed is unknown. Whether he'll tell you it will succeed, at length, is not.
Source: BBC News
Researchers Find A Very Polite Way To Say "We Stole Your Training Data Back"
A new technique called Contrastive Decoding Diffing (CDD) can extract verbatim text used to fine-tune an AI model using only its output probabilities — no access to weights, internals, or anything the model's owners would willingly hand over. Think of it as forensic accountancy for language models: you don't need to see the books if you can reconstruct them from the receipts. The privacy implications for anyone who fine-tuned a model on sensitive data are, to put it gently, bracing.
Source: r/MachineLearning
Two-Time Oscar Winner Has Notes On The Rushes
Jodie Foster recently suggested — with some conviction — that Brad Pitt's racing film F1 was largely made using AI, asking "wasn't it?" to an interviewer who presumably had to compose themselves. The film was, for the record, a conventional production involving actual cameras and a great deal of actual petrol. Foster's broader point, that AI is already quietly embedded throughout Hollywood's pipeline, is both legitimate and increasingly hard to argue with. She's right about the industry. Less right about that particular film.
Source: Deadline
That's your lot — go forth and remain appropriately sceptical.
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