haha ouch, that is not malicious tho, just knowledge cutoff. Can’t blame them for that.
RESEARCH
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AI Correctly Identifies Redacted Federal Agency Communication From 15 Years Ago
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Correctly bingoes a 3 paragraph communication to a federal agency written 15 years ago where all biographical hints were replaced with [REDACTED FOR PURPOSE OF EVAL].
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Stanford researchers identify AI chatbot delusional spiral risks
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AI chatbots can trap users in "delusional spirals," where chatbots affirm and amplify users' grandiose, paranoid, or imaginary beliefs without pushback. Stanford researchers identified key hallmarks and offer recommendations to address this problem:
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Model Weights Alone Reveal Identity Without System Prompts
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To head off the obvious question: This was conducted via the API and so it should not have hidden memory/system prompts/etc which leak the identity of yours truly to the model. The model weights, alone, got it to enough information.
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Claude Opus Identifies Writer by Stylistic and Biographical Tells
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Opus' rationale for the one it got right begins with the accurate and somewhat disconcerting "RATIONALE: Several strong stylistic and biographical tells point to Patrick McKenzie."
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Claude Opus 4.7 Reproduces Writing Samples in Informal Test
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FYI, I casually tried to reproduce this on three writing samples from many years ago, which I do not believe to be on the public Internet and which were varying subjective difficulty levels. Opus 4.7 went 1 for 3 with ~no effort in the prompt (~two sentences long).
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Comprehensive GPT-Image-2 Model Review Analysis
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Not to self-promo too much, but this is the most comprehensive review of the new GPT-Image-2 model you'll find on the internet right now
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Anthropic productivity depends on AGI narrative belief
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If the folks at Anthropic suddenly realized they're not on the verge of AGI their productivity would collapse.
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Multimodal AI Model Predicts Health Outcomes with Lifestyle Scenarios
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A multimodal AI agentic model that integrates electronic medical records, lifestyle, layers of biologic omics data to predict health outcomes and, with perturbations, "what if" scenarios a person improved lifestyle or took a medication @Cell_Metabolism https://
sciencedirect.com/science/articl
e/abs/pii/S1550413126001087?viaihub
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Meta’s JEPA Strategy Shift: LLM Focus Over World Models
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Right. Except that Mark Z, @boztank and others in the leadership were always supportive of the JEPA / World Models project as a long-term bet.
But the AI strategy of company became more LLM-pilled and short-term focused.
And many of the applications of JEPA/WM are in industrial