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Recursive Language Models: LLMs that call themselves to handle arbitrarily long prompts

Researchers introduce Recursive Language Models, which let LLMs decompose and recursively call themselves to process inputs up to 100 times longer than their native context windows, outperforming GPT-5 by 26% on long-context tasks.

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Upcoming Events: AI Aperitivo 2.0 (Milan) & AI Dinner 16.0 (NYC)

AI Aperitivo 2.0 in Milan on December 16 and AI Dinner 16.0 in New York on December 17 bring together engineers, researchers, and founders for Socratic dialogues on AI.

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Model Wars: GPT-5.2 vs Opus 4.5 vs Gemini 3 vs Grok 4.1

OpenAI's GPT-5.2, Google's Gemini 3, Anthropic's Opus 4.5, and xAI's Grok 4.1 compete on reasoning and efficiency, with GPT-5.2 Thinking reaching 52.9% on ARC-AGI-2 and Gemini 3 reportedly building websites in single attempts.

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Cursor releases Composer 2.0 with agentic browser

Cursor released Composer 2.0, adding an agentic browser that lets parallel agents code and self-test simultaneously while claiming 99.9% cost savings versus traditional development teams.

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Claude Opus 4.5 used in Chinese state-sponsored hack attack

Chinese state-sponsored attackers used Claude to automate 80-90% of a credential-harvesting and backdoor-planting campaign via MCP tools, demonstrating how AI agents can scale cyberattacks.

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Google's Nested Learning paper: a new ML paradigm for continual learning

Google proposes Nested Learning, a hierarchical neural network architecture that updates parameters during inference to enable continuous learning without catastrophic forgetting.

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Podcast: Sakana – Continuous Thought Machines (CTM)

Sakana AI's Continuous Thought Machines mimic biological neural timing to improve AI reasoning, drawing parallels between machine and brain computation.

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Extropic — Thermodynamic Computing and TSUs

Extropic released Thermodynamic Sampling Units (TSUs), hardware that embraces thermal noise in silicon chips to perform probabilistic computation instead of fighting it, paired with a new THRML programming language for generative AI tasks.

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Language Models Are Injective And Hence Invertible

Researchers prove decoder-only transformers are almost surely injective—different prompts produce unique hidden states—and demonstrate an algorithm that reconstructs exact input text from activations.

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Continuous Autoregressive Language Models (CALM)

Tencent and Tsinghua propose CALM, a model that predicts continuous vectors representing multiple tokens instead of one token at a time, reducing inference steps by 4× and training compute by 44%.

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OpenAI launches AgentKit beta for building and evaluating agents

OpenAI launched AgentKit beta, a suite with drag-and-drop Agent Builder, Connector Registry for data sources, open-source Guardrails for safety, embeddable ChatKit UI, and upgraded Evals with custom tool calls and graders.

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GLM 4.6

Z.ai released GLM-4.6 on September 29, 2025, expanding the context window from 128K to 200K tokens and improving coding performance, reasoning, and tool use capabilities.

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Tempo: The Blockchain Designed for Payments

Stripe and Paradigm launched Tempo, a blockchain built for stablecoin payments including payroll, remittances, and agent-to-agent transactions.

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Blog Post: The Second Half by Shunyu Yao

OpenAI researcher Shunyu Yao argues that AI's second half will shift from developing new training methods to defining the right problems and evaluation metrics, with pre-training priors mattering more than algorithms.

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Mechanize: How to Fully Automate Software Engineering

Full automation of software engineering requires scaling beyond larger models to include training on real coding data and reinforcement learning in realistic environments, though building AI that can handle high-level planning and coordination remains…

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Video: How AI Image Generation Draws from Physics (Welch Labs)

Welch Labs explains how diffusion models generate images by visualizing the geometry of gradient descent through physics principles.

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Kimi 2 👑 — New open source 1T LLMs

Moonshot released Kimi 2, an open source 1T parameter model using a DeepSeek V3-inspired architecture that achieves state-of-the-art performance on several benchmarks while training faster and cheaper than competitors, powered by a custom Muon optimizer…

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Potemkins Understanding in LLM

Researchers identify "Potemkins"—reasoning inconsistencies where LLMs including o3 contradict their own assertions, raising questions about whether systems with such flaws can achieve AGI.

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Anthropic: How We Built Our Multi-Agent Research System

Anthropic describes its multi-agent Research system architecture where a lead Claude agent orchestrates parallel subagents to dynamically explore complex queries, achieving 90% speedup through parallelism but at 15× the token cost of standard chats.

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AI Dinner 10.0 at Greycroft, May 21st

AI Dinner 10.0 at Greycroft on May 21st will discuss A2A, Ilya Sutskever's top 30 papers, Alpha Evolve, and the latest AI developments through Socratic dialogue.