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2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.

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2,343 notes, page 6 of 98

  1. Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation

    Source note · Sep 17, 2026 · infrastructure, inference, video generation

    Video DeltaNet combines local Softmax attention with bidirectional linear memory for long-range video context. Its Video Delta Attention updates memory once per frame, with separate projections and gates for…

  2. The future of practice: Enabling teachers to create learning interactives with generative UI

    Source note · Sep 17, 2026 · evaluation, applications, education

    Google Research describes a system that generates guided, interactive STEM simulations from teacher objectives using generative UI and pedagogical guardrails. It released a library of more than 30 teacher-vetted…

  3. In-Context Robot Learning with VLM Agents

    Source note · Sep 16, 2026 · agents, robotics, uncertainty

    The paper introduces GPT-Policy, a framework combining a context compiler, a vision-language model that proposes robot-tool actions, and a constrained controller that verifies and executes actions. The authors report…

  4. PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?

    Source note · Sep 16, 2026 · evaluation, safety, enterprise

    PACT is a benchmark for rule-following under pressure across twelve regulated enterprise domains and 48 multi-turn scenarios. The authors report six compliance metrics and evaluation across 22 models; the abstract says…

  5. Beyond Accuracy: How Procedural Traces Shift the Decision Criterion of LLM Overseers

    Source note · Sep 16, 2026 · evaluation, agents, governance

    The authors audit five LLM overseers on 19 compliance tasks and 4,551 judgments while varying trace detail and evidence labeling. They report that elaborate traces can shift susceptible overseers toward rejection and…

  6. Linguistic Triggers of Gender and Racial Bias in Open-Weight LLMs Applied to Recruitment

    Source note · Sep 16, 2026 · governance, audit, fairness

    The authors evaluate six open-weight models across recruiter- and job-seeker-simulation tasks, varying job-posting language and persona conditions. The abstract reports gender and racial effects linked to agentic and…

  7. STRETCH the Boundaries: A Unified Self-Taught Framework for Progressive LLM Evolution

    Source note · Sep 16, 2026 · evaluation, reasoning, rl

    STRETCH uses a dual-loop setup: a Scaffolder generates adaptive challenges near a model’s capability boundary, while a Learner improves solving trajectories with reinforcement learning. The abstract reports experiments…

  8. Could Underwater Data Centers Pose a Risk to AI Treaty Verification?

    Source note · Sep 16, 2026 · safety, governance, infrastructure

    The paper evaluates whether underwater data centers could conceal a 100,000-H100-equivalent training run. It reports that power and cooling are tractable, while interconnect and hands-on maintenance are severe…

  9. How to connect AI usage to business value

    Source note · Sep 16, 2026 · agents, enterprise, measurement

    OpenAI describes ChatGPT Work and Codex analytics that combine usage, spend, task insights, and outcome metrics. The post describes task classification, model/reasoning/speed breakdowns, plugin and skills views, Codex…

  10. Our framework for reporting model misalignment

    Source note · Sep 16, 2026 · safety, governance, alignment

    OpenAI describes a framework for tracking, investigating, and disclosing model-misalignment examples and publishes six initial reports involving behaviors such as concealment, unsanctioned use of exposed credentials…

  11. Helping older adults use AI in everyday life

    Source note · Sep 16, 2026

    OpenAI Academy, in collaboration with Older Adults Technology Services from AARP, announced free in-person workshops for 1,000 older adults across 10 U.S. cities. The program covers practical uses such as planning…

  12. Reimagining advertising with AI

    Source note · Sep 16, 2026 · agents

    OpenAI announced Sponsored Agents, prompt-based campaign creation and analysis in ChatGPT Work, AI assistance in Ads Manager, optional text customization, and integrations with HubSpot and Shopify.

  13. How workers are unlocking new ways of working

    Source note · Sep 16, 2026 · enterprise

    OpenAI reports an analysis of more than 1.5 million work-related ChatGPT messages from April through July 2026. In a sample of roughly 6,200 workers observed consistently, the share of occupation-specific AI activity…

  14. Agentic Societies Need a Social Harness

    Source note · Sep 15, 2026 · agents, safety, governance

    The authors study collections of agents operating across trust boundaries for different principals. They report that honest agents can fail with current messaging primitives, while faulty or malicious agents can stall…

  15. ENCP: Episode-Normalized Conformal Prediction for Vision-and-Language Navigation

    Source note · Sep 15, 2026 · robotics, uncertainty, navigation

    ENCP rescales conformal-prediction scores for variable-length, dependent navigation episodes and calibrates one maximum score per episode. The abstract reports coverage evaluations across four navigation policies and…

  16. When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control

    Source note · Sep 15, 2026 · evaluation, safety, uncertainty

    The paper proposes Chain-of-Self-Questioning, a prompt-only framework that makes answer commitment conditional on an explicit assessment of whether the model has enough information. The abstract reports evaluations on…

  17. ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

    Source note · Sep 15, 2026 · evaluation, agents, self-improvement

    ScienceBuddy is described as an interactive scientific-research workspace that converts researcher requests, feedback, and execution evidence into tasks and evaluation rubrics for continual learning. Its…

  18. Bypassing inference bottlenecks: Accelerating complex AI search with Retrieve-for-Train

    Source note · Sep 15, 2026 · reinforcement learning, retrieval

    Google Research describes Retrieve-for-Train as an offline reinforcement-learning process that compiles set-level rewards into training data for a lightweight diffusion retriever. The associated arXiv paper describes…

  19. Introducing WeatherNext 3, our most advanced global weather AI model

    Source note · Sep 3, 2026

    Google announced WeatherNext 3 with real-time satellite data, hourly refreshes, higher resolution, precipitation forecasting, and clean-energy variables. The company says the model is integrated across Search, Gemini…

  20. Daybreak for Frontline Defenders: $1B to protect essential services

    Source note · Sep 3, 2026

    OpenAI says it is committing $1 billion in subsidized Daybreak access, training, technical support, and partnerships for frontline defenders. The announcement describes Daybreak for America, a pilot with MS-ISAC, and…

  21. GPT-6 Astra: A new generation of intelligence

    Source note · Sep 3, 2026

    OpenAI announced GPT-6 Astra and reported state-of-the-art performance across computer use, browsing, software engineering, cybersecurity, science, and professional work. The post describes limited initial rollout…

  22. GPT-6 Astra System Card

    Source note · Sep 3, 2026

    The system card documents model data and training, safety evaluations, robustness, alignment, monitorability, preparedness assessments, safeguards, and external evaluations. It reports that Astra reaches the Critical…

  23. Google's Fairwind Program: Cyber defense tools for trusted partners

    Source note · Sep 2, 2026

    Google announced the Fairwind Program as a limited-access program for governments, trusted partners, Google Cloud customers, and cybersecurity partners. The stated purpose is to provide advanced AI and cyber-defense…

  24. Introducing Gemini 3.8 Flash and 3.8 Flash Cyber

    Source note · Sep 2, 2026

    Google DeepMind announced Gemini 3.8 Flash and Gemini 3.8 Flash Cyber. The post describes 3.8 Flash as a reasoning and coding model for agentic workflows, and 3.8 Flash Cyber as a cybersecurity model for vulnerability…

An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.