{"id":"url:ai-2027.com","title":"AI 2027 (Kokotajlo)","date":"2025-04-03","section":"AI safety and consciousness","quality":null,"url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/3fd447e0ff58689ae00a4666e28bbd7faecd472dec7195ab1d524cb5402a1766/","source_url":"https://ai-2027.com/","text_available":false,"authors":[],"outgoing":[{"source":"url:ai-2027.com","target":"arxiv:2407.21783","evidence":"id","id":"arxiv:2407.21783","title":"The Llama 3 Herd of Models","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/de3cebb4c28bc5d41a843279f219dca14476284991ea5c7c0aeab7068a40e306/"},{"source":"url:ai-2027.com","target":"arxiv:2412.06769","evidence":"id","id":"arxiv:2412.06769","title":"Training Large Language Models to Reason in a Continuous Latent Space","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/68c71dc1a042dedd5e3c4d9c1ad32c9d046fd31b8dc79080bd6dff1c9800abc7/"},{"source":"url:ai-2027.com","target":"url:anthropic.com/research/tracing-thoughts-language-model","evidence":"url","id":"url:anthropic.com/research/tracing-thoughts-language-model","title":"Tracing thoughts of a language model / Circuit tracing (Anthropic)","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/6817b4eca1b10533ef10b19c81e7c61b3877f963641fea2a81c5a46f68a233cf/"},{"source":"url:ai-2027.com","target":"url:openai.com/research/weak-to-strong-generalization","evidence":"id","id":"url:openai.com/research/weak-to-strong-generalization","title":"Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/fb7b23a617dce974dbb70db824c97c1de84afa11e1e290d5cb9f5bd88857e762/"},{"source":"url:ai-2027.com","target":"url:transformer-circuits.pub/2025/attribution-graphs/biology.html","evidence":"url","id":"url:transformer-circuits.pub/2025/attribution-graphs/biology.html","title":"Attribution graphs, the biology of the model","url":"https://vinnik-dmitry07.github.io/favorite-papers/agents/papers/8b3e14c537e89eed9a4402e9c14094d69913ed24d45fdab1a82ba4b8280660e2/"}],"incoming":[],"text_parts":[],"contents":[],"text_code_points":0,"source_markdown":null}