We use a lot of super premium models but we find that vibe coding is cheaper on our platform – you don't have to pay for ongoing costs of deployment/databases etc
GENERATIVE AI
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Anthropic’s Alignment Science Research Blog Launch
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For more of Anthropic’s alignment research, see our Alignment Science blog: https://
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Evaluating Synthetic Belief Formation in AI Models
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Believe it or not?, led by Stewart Slocum. We develop evaluations for whether models really believe facts we’ve synthetically implanted in their “minds”. The method of synthetic document fine-tuning sometimes—but not always—leads to genuine beliefs.
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Perplexity will allow its Assistant to record meetings
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Perplexity will enable its Assistant to join and record meetings so it can send out meeting summaries to participants. All capabilities will be adjustable. * Not available yet
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ChatGPT to Continue Shaping the Legal Profession
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I'm glad ChatGPT will carry on the legal profession
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AGI Definition: Feature-Complete Remote Worker with High Reliability
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When I say AGI I mean a "feature complete" build of a remote worker with a lot of 9s (think: a bit like current Autopilot FSD, maybe plus a few more iterations). This is the original definition I've stuck to forever. Separate from the diffusion /implementation of it across
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ChatGPT’s Role as a Helpful Assistant to Change
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JUST IN: ChatGPT will no longer be a helpful assistant
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Jupyter AI brings coding assistance directly to notebooks
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AI coding just arrived in Jupyter notebooks – and @brganger (Jupyter co-founder) and I will show you how to use it.
— Andrew Ng (@AndrewYNg) 3 novembre 2025
Coding by hand is becoming obsolete. The latest Jupyter AI – built by the Jupyter team and showcased at JupyterCon this week – brings AI assistance directly into… pic.twitter.com/qd9t1IWPVbAI coding just arrived in Jupyter notebooks – and @brganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI – built by the Jupyter team and showcased at JupyterCon this week – brings AI assistance directly into
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LLMs Struggle to Distinguish Belief from Knowledge and Fact
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Our new @NatMachIntell paper studies when #LLMs can't tell belief ("I believe …") from knowledge ("I know…") and fact. We evaluated 24 LMs, finding epistemic limitations in all models. Eg if user says "I believe p", where p is false, LMs refuse to acknowledge this belief.
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Top LLM Archetypes: Unique Strengths and Roles Compared
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Each top LLM has its own archetype; here’s how we would describe them: •GPT-5 – adaptive router, on-demand thought partner
•GPT-5 Pro – parallel universe researcher
•Sonnet 4.5 – disciplined coder with guardrails
•Opus 4.1 – precise problem solver
•DeepSeek – frontier AI