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Replaced sequential recurrence with multi-head self-attention and positional encodings, enabling parallel training over massive sequence contexts.
Decomposes weight updates Delta W into rank-r products A * B (where r << d), reducing trainable parameters by 10,000x.
To study this challenge, we introduce long-horizon memorization, a setting in which a model learns 100 query-answer tasks through continual supervised fine-tuning without retaining earlier training examples or receiving task identifiers at inference. Sequential updates cause catastrophic forgetting, and no single continual learning mechanism we evaluate maintains strong retention at this horizon.
Beyond playing games, recent systems model players and game dynamics, support design and development, adapt player-facing experiences at runtime, and evaluate resulting artifacts. Yet these directions have evolved largely separately, obscuring which capabilities transfer across settings and which remain tied to particular games, engines, interfaces, or player populations.
We first use the Headroom-Closed Index (HCI) to reveal the problems of existing LLMs, then introduce the RSI concept and its development roadmap: from improvement-execution autonomy, improvement-strategy autonomy, experience-acquisition autonomy, and environment-adaptation autonomy, to recursive meta-improvement. Next we examine RSI across scenarios (e.
We introduce RSIAgent, a training-free multi-agent framework for recursive self-improvement through autonomous memory construction. RSIAgent coordinates curriculum, actor, and verifier agents to continually explore the environment, validate outcomes, and retain environment-specific knowledge, including reusable causal relationships between actions, conditions, and consequences.
Technical discussion with 368 points and 180 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 306 points and 293 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 459 points and 164 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 1949 points and 230 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 391 points and 197 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 246 points and 149 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 221 points and 121 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 203 points and 149 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 205 points and 53 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 140 points and 44 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 124 points and 298 comments on Hacker News.
Signals a key capability or distribution milestone with immediate tooling and benchmark implications.
Technical discussion with 114 points and 17 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 103 points and 78 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Technical discussion with 106 points and 83 comments on Hacker News.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
OpenAI and AARP are bringing free, hands-on ChatGPT workshops to 1,000 older adults across 10 U.S. cities to build practical AI skills safely.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
This patient-specific method, called xvr, helps doctors use X-rays for surgical navigation in fields such as orthopedics and neurosurgery.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Explore new AI-powered advertising experiences from OpenAI, including Sponsored Agents, tools for marketers, and integrations with HubSpot and Shopify.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Learn how ChatGPT Work and Codex analytics help teams understand AI usage and spend, identify training needs, and connect adoption to business outcomes.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
New OpenAI Economic Research shows how workers use AI beyond traditional roles and which new activities become recurring parts of their work.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Naoki Egami has become a standout in political methodology, helping refine tools that give scholars durable results.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Your Agent Aced the Task. Will It Do It Again?
Expands autonomous agent capability boundaries and reliability in non-deterministic environments.
Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
The “HardFlow” algorithm could help generative AI models produce high-quality outputs that obey strict requirements when “pretty close” doesn’t cut it.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Atlas Building Composites is commercializing MIT research to turn plastic waste into parts for buildings and other infrastructure.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
GPT‑6 Astra improves Devin’s ability to test software and show that it works, with the goal of helping engineers review less code and ship more.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
The handheld catheterization device AI-GUIDE, created by Lincoln Laboratory and Massachusetts General Hospital, promises improved health outcomes for injured service members and civilians.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
César de la Fuente’s lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Meet the Data agent in ChatGPT Work. Connect company data, uncover insights, and build interactive dashboards with AI using natural language.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
GPT‑Live‑1 brings natural, full-duplex voice conversations to the API, with stronger instruction following, custom voices, and telephony support.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Build and launch cloud agents with the Agents API, a managed service powered by the Codex harness for orchestration, long-running sessions, and tool use.
Expands autonomous agent capability boundaries and reliability in non-deterministic environments.
Async GRPO with LoRA across HF Jobs: a bucket, a proxy, and no NCCL
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Rebuilding AUTOMATIC1111 with Gradio Workflow
Expands autonomous agent capability boundaries and reliability in non-deterministic environments.
A weeklong summer workshop brought higher education faculty to campus to explore how AI and machine learning materials can be adapted for their classrooms.
Signals a key capability or distribution milestone with immediate tooling and benchmark implications.
Paul Christiano joins the OpenAI Foundation Board and its Safety and Security Committee, bringing experience in AI alignment, safety, and standards.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
Chris Lehane argues that stronger AI capabilities require stronger safety evidence, shared standards, and durable policy action while the policy window remains open.
Represents a noteworthy shift in the AI landscape with direct relevance to practitioners and engineers.
