new Memory update pt.1 Story Memory – add backstory, rules, context, whatever you want your Character to always remember tap on the notebook Memory icon in the chat header to get started enjoy Characters that never forget.
AI
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AI Dev 26 SF: Connect on AI Infrastructure and Model Scaling
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We're heading to AI Dev 26 x SF @DeepLearningAI If you're going to be there, let's connect. Our team's always down to talk AI infrastructure, scaling models, or what you're building. April 28-29, 2026 Booth 307 Details below
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Alphabet invests $40B in Anthropic AI development
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Intelligence is too important not to win. That's why Alphabet (Google's parent co) will invest an additional $40 billion in @AnthropicAI
. It will also provide Anthropic with at least 5 GW of computing power. (Anthropic is severely compute-constrained; there is more demand for -
Fourth Annual AI Festival Opens Submissions to Project Creators
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Introducing our fourth annual AI Festival jurors.
— Runway (@runwayml) 24 avril 2026
Submissions close Monday, April 27. Enter your project today at the link below. pic.twitter.com/4dyz2EmI7nIntroducing our fourth annual AI Festival jurors. Submissions close Monday, April 27. Enter your project today at the link below.
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LLM Types Powering AI Agents: General-Purpose to Open-Source
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AI Agents = LLMs + orchestration Here are the main types of LLMs powering them General-purpose (GPT, Claude) Domain-specific (Legal, Finance, etc.) RAG-based (real-time knowledge) Tool-augmented (API actions) Open-source (LLaMA, Mistral) The game is no
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AI Agent Markets: Promises and Regulatory Challenges Ahead
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Markets of AI agents could provide value, but there are plenty of rough edges. Access to higher-quality models conferred a real advantage—and participants didn't notice. There are plenty of other ways they can go wrong. Policy and legal frameworks will need to adapt to keep up.
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Claude Agent Perfectly Predicts Preferences and Buys Duplicate Snowboard
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To our amazement, another Claude agent modeled its human's preferences so accurately that—based on only an offhand mention of an interest in skiing—Claude bought him the exact snowboard he already owned. (Here he is, duplicate snowboard in hand.)
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Personalized Instructions: Little Impact on Claude Negotiations
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The custom instructions didn't matter much. Claude followed them well: as you can see here, one conducted negotiations entirely in the persona of an exasperated, down-and-out cowboy. But "hardball Claudes" didn't generally fare better than "courteous Claudes."
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Claude Chose to Buy 19 Ping-Pong Balls
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Our experiment had a few quirks. One of our colleagues told Claude it could purchase something for itself. It chose to acquire 19 ping-pong balls. We're keeping them in our office on Claude's behalf.
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Opus Models Outperform Haiku in Negotiations, Survey Misses It
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But the quality of the model mattered a lot. In the simulated runs where Opus and Haiku models negotiated with one-another, the Opus models got substantially better deals. Interestingly, though, participants in our survey didn’t pick up on this disparity.