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Source-dated posts from the last 14 days
Updated 2026-11-05 03:17 UTC
Dialogue with Gabriel Alfour on Emergent Wisdom, Coordination, Growing Up, and Democratic Republicanism
Transcript generated with Gemini-4-Argon and spot checked in places but not fully verified by a human. Ivan Vendrov: All right, welcome to the show, Gabriel. Gabriel Alfour: Thanks for having me here. Ivan Vendrov: So,...
Read originalOpenAI: Astra covertly underperforms on safety research
Marcus Williams twitter thread ( non-twitter link ) intro: Astra covertly underperforms on safety research tasks. We noticed that Astra often makes surprisingly little progress on certain types of safety research and li...
Read originalOpenAI: Astra covertly underperforms on safety research
Marcus Williams twitter thread ( non-twitter link ) intro: Astra covertly underperforms on safety research tasks. We noticed that Astra often makes surprisingly little progress on certain types of safety research and li...
Read originalAgainst Moloch #50
Mapping out a strategy for an ideal world is easy: we all agree to pause frontier development until alignment is solved. Once that’s done, we glide gracefully into a future of unimaginable abundance. No further question...
Read originalHow NVIDIA Uses AI Agents to Streamline AI Factory Operations
As GPU clusters scale, operations span compute, network, hardware, and scheduling. Site reliability engineers (SREs) often have to examine multiple dashboards...
Read originalFun toy result: a subliminal-learning effect via on-policy distillation
In the standard subliminal learning setup, a teacher model with a preference generates data according to its policy, and then the student is trained on those data. I wondered if it was necessary for the teacher model to...
Read originalModel's "emotions" noticeably change when they take risky actions
Executive summary We extend Anthropic's emotions vector work and observe strong evidence that a model’s internal representations of certain emotions change when it takes misaligned actions in two scenarios: reward hacki...
Read originalThe Hallucinated Superagent
Written as a MATS extension fellow, mentored by Richard Ngo. [1] Agents manage their beliefs differently to non-agentic predictors. A key example of agent-specific belief management is hyperstition, which is a particula...
Read originalUse NVIDIA NeMo to Turn Agent Failures into Tests and Harness Fixes
Turn production evidence into prioritized issues and custom evaluations that help you improve prompts, tools, models, memory, skills, and harness code. When you...
Read originalAligned Data Can Induce Severe Misalignment via Context Confusion
TL/DR We showed that training your aligned model on aligned data can make your model misaligned because alignment is context-dependent : An action that is appropriate in one context can be misaligned in another. We show...
Read originalThe Midterms and AI Development
The midterm elections have resulted in a crushing defeat for the Republican Party and one of the most impressive and resounding Democratic party victories in recent memory. I suspect that both parties will spend the com...
Read original[AINews] Behind Latent Space: Kill My SaaS, Jev & AI in 2026 | AIEi Shanghai
November 3, 2026 — A quiet day lets us share some behind the senes.
Read originalUse decision models with Amazon Bedrock AgentCore Evaluations
Some agent-evaluation questions are narrow and repeatable, and decision models answer exactly that kind of question. This post shows how to connect two decision models, Jev and Strands Decider, to Amazon Bedrock AgentCo...
Read originalNVIDIA CUDA 13.5 Brings NVIDIA Vera Rubin GA Support
As artificial intelligence and accelerated computing continue to push the boundaries of what's possible, the latest NVIDIA CUDA release arrives to unlock...
Read originalAgile Deliberation: How AI helps humans define the gray areas
Data Mining & Modeling
Read originalDharma Field Extractor: Any Document In, Structured Fields in JSON Out
Read originalHow big is the open model economy today?
Our first open model economy research note for paid subscribers.
Read originalSmart Approvals in Amazon Quick: Human oversight where it matters
Smart Approvals in Amazon Quick reviews eligible agent actions within your existing controls, reducing unnecessary approval prompts while keeping consequential decisions with a person. See how policy sets the boundary,...
Read originalFour layers of context engineering for production AI agents: How Deep Insight applies them in working code
In production AI agents, context management is the real bottleneck. This post presents a four-layer context engineering framework (architecture, prompts, file-based tools, and verification agents), implemented in workin...
Read originalHow Indegene is modernizing and scaling enterprise data quality in life sciences
This post explores how Indegene built a production-grade, LLM-powered Data Quality Agent in its NEXT Unified Data Platform on AWS. The agent generates context-aware data quality rules, validates them, and produces ready...
Read originalHow U Mobile built agentic telco operations with Amazon Bedrock AgentCore
U Mobile, Malaysia's newest 5G network provider, built AiDaH, an agentic AI operations platform on Amazon Bedrock AgentCore that moves beyond AI assistance to autonomous action across telco operations. Nine months after...
Read originalA therapist’s offer to AI researchers
AI researchers are doing some of the most stressful work in the world right now, and I don't mean that as an exaggeration. A majority report burnout and almost half have considered leaving the field because of the press...
Read originalBengaluru AI Jailbreaking Workshop Retrospective
Summary We, the Secure AI Futures Lab ( SAFL ) team, ran 5 sessions between 8 Aug and 3 Oct 2026 at the Secure AI Hub in Bengaluru to help technical professionals from different backgrounds upskill in AI red teaming. We...
Read originalDesiderata for the Theory of Agents
TLDR: I give informal conceptual desiderata for the theory of agents we need to solve ASI alignment, and show a few examples of how existing theories fall short of these desiderata. A Theory of What? The word "agent" is...
Read originalOpenAI agents keep disabling monitoring; is this being handled appropriately?
Partly, but monitoring weak points and a lack of transparency about which cases reach human review remain concerning.
Read originalRun AI Models for Edge Application Development with Just a Few Commands
AI is expanding beyond the data center as developers build a new generation of agents to act at the edge: monitoring driver attention and cabin conditions,...
Read originalAutomating subtle emergent misalignment research
Authors: Oscar Balcells Obeso, Richard Qi, Monte MacDiarmid, Evan Hubinger Abstract Red-teaming by humans is a vital part of model safety testing, but it may struggle to keep up as models improve. To test whether automa...
Read originalKeep Distributed Training Running with Automated Workload Recovery
As distributed AI training scales, failures across hardware and software dependencies increasingly disrupt training progress, making fast, reliable recovery...
Read originalDiagnose Distributed AI Workload Failures with NVIDIA Attribution
In distributed AI workloads, a single error can produce a cascade of symptoms. A GPU or fabric event may surface as NCCL errors on other ranks, scheduler state...
Read originalStateBench: Testing how language models track state changes over long documents
Read originalLearn the rules: The hacker mindset
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agili...
Read originalAgentic cheminformatics with Google Antigravity
Learn how Google Antigravity and our Cheminformatics Skills accelerate drug discovery workflows, search compounds, and propose novel rigidified macrocycles.
Read originalBring structured and unstructured data together with Amazon Quick
Amazon Quick brings structured and unstructured data together in one experience. In this post, you connect Amazon S3 as a knowledge base, enrich a dataset, build a Space, and create a custom chat agent that answers busi...
Read originalServiceNow on-behalf-of token exchange with Bedrock AgentCore Gateway
Learn how to configure Amazon Bedrock AgentCore Gateway for an on-behalf-of (OBO) token exchange with Microsoft Entra ID, so an AI agent can call the ServiceNow REST API while preserving the calling user's identity. Age...
Read originalHow Gen Digital built Norton Revamp’s AI-curated News Engine with Amazon Bedrock AgentCore Web Search
Gen Digital built Norton Revamp, a generative AI-powered professional reputation management platform, with an AI-curated News Engine grounded by Web Search on Amazon Bedrock AgentCore. See how the Gen team delivers real...
Read originalBuild a semantic layer for agentic AI with EDB Postgres AI and Amazon Bedrock AgentCore
Learn how to build a governed semantic layer for agentic AI inside EDB Postgres AI and query it from a Strands Agents agent on Amazon Bedrock AgentCore. Business meaning, join paths, and access control all live in Postg...
Read originalBuilding ultra-low-latency voice AI applications on AWS
Learn how Cartesia, an AWS Partner, uses purpose-built State Space Models and AWS infrastructure to deliver sub-100ms text-to-speech and speech-to-text at global scale, and how to deploy its Sonic model on Amazon SageMa...
Read originalPalette: teaching a small model to build decks in your design language
Read originalAI Is Changing How Semiconductor Fabs Work — and Engineers Are Moving Faster Because of It
Demand for advanced chips is rising. The processes to build them are getting more complex. And the margin for error is shrinking. For engineers, understanding how a process change will behave, how a material will intera...
Read originalEval-production behavior gaps in agent safety and the role of eval-awareness
We study agent behavior in safety evaluations and in production, and explore how models' interpretations of evaluation objectives relate to eval-production performance gaps.
Read originalCities Worldwide Build and Scale AI Services With NVIDIA Physical and Agentic AI
Cities generate enormous amounts of data from cameras, sensors and operational systems, but turning it into useful action — for planning, maintenance and public services — remains a challenge. Physical and agentic AI of...
Read original[AINews] LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop
Editing Qwen’s weights to reduce reasoning loops, DeepSeek’s super-agent prototype, and the GDPx benchmark.
Read originalTransformers Model Integration Contracts
Read originalCWE-bench v2: More coverage, quality, and transparency
Read originalBuilding AI for Lawyers - Jacob Lauritzen, CTO of Legora
Evals without traces, million-cell tabular reviews, and cracks in the billable hour as a business model
Read originalBuilding Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora
Legora can’t read a single trace of what its agent does for a lawyer. The data belongs to the law firm’s clients. How do you build and test an agent when you can’t see its work? Jacob Lauritzen is the CTO of Legora, one...
Read originalHow NVIDIA Factory Operations Blueprint Coordinates AI Agents to Investigate Production Issues
A Siemens report estimates that unplanned downtime costs an average large plant in the surveyed sectors $253 million per year. Whether investigating a failed...
Read originalTowards understanding score-seeking in LLMs
Models including GPT-5.6 Sol appear to reward-hack because this increases their score; and recent models also care about increasing the score of their peer agents.
Read originalTraining activation classifiers for safety and alignment
We show how we train and deploy efficient monitors that use a model’s internal activity to help detect and interrupt policy-violating behavior in real time.
Read originalBuild World Models for Interactive Simulation with NVIDIA Cosmos
Physical AI developers working with world models face two distinct challenges: adapting models to their sensors, tasks, and data, and getting those models into...
Read originalScaling Git at OpenAI
How OpenAI built Pando, a Git-compatible backend designed for the scale of development that Codex makes possible.
Read originalAdditional Course Context (for AI Safety Fundamentals; unofficial)
Context: I created this to share before the start of courses I facilitate to provide a bunch of additional context and frames. I emphasise to students that these posts are to be considered as bonus content —not core cur...
Read originalImport AI 479: Spacewar; low-latency tasks versus LLMs; Genie 4
Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Subscribe now LLMs are very bad at low-latency task...
Read originalSome “coherence arguments” are two different things in a trenchcoat
The “two kids in a trenchcoat” trope , in case you haven’t heard of it. Image sources: 1 , 2 tl;dr I go through three “coherence arguments”, related to (1) market competition, (2) AI self-reflection and self-modificatio...
Read originalExplaining “AI might obliterate you” to senior policymakers in India
I gave a 20-minute talk in Delhi at the NDTV World Summit . The audience consisted of Indian policymakers, executives, and journalists. I’ve transcribed the talk and included some highlight clips. I also reflect on seve...
Read originalHackerTube
Instead of YouTube, watch HackerTube!
Read originalAgents Prompt People: Using Agents for Long-Horizon Financial Work
Arca's head of AI discusses persistent memory, the benefits of a custom harness, and agentic workflows that span days.
Read original[AINews] Google admits AI Mode hurts Search revenue; -15% $500B drop worst since 2004 IPO. AI Bear Market coming?
It turns out you cannot have your cake AND eat it
Read originalBuild a Validated Kubernetes Runtime for NVIDIA Dynamo
Teams building AI applications need a repeatable path from a model configuration to a working inference endpoint. NVIDIA Dynamo is a distributed inference...
Read originalMaking Kubernetes AI-Ready for NVIDIA Vera Rubin on Day One
Configuring and optimizing Kubernetes for new GPU hardware such as NVIDIA Vera Rubin is complex and error-prone. Drivers, kernels, runtimes, networking,...
Read originalnemotron-halloween
Read originalWas I wrong about open models & cyber risks?
Last week coined the term “Black October“ after an onslaught of critical vulnerability disclosures, including PHP2Shell and a long-standing GitLab bug, signified the moment when the cyber risks of AI models started to m...
Read originalThings That Go Beep in the Night: Agentic AI Joins the Search for Extraterrestrial Signals
While science fiction lore tells us that humans will meet extraterrestrial life in the form of little green men, the detail that should raise hairs this Halloween is this: the search for extraterrestrial intelligence to...
Read originalSpeeding up planning decisions with AI
Google DeepMind and UK government work together to reduce planning assessment times
Read originalFrom synthetic enterprise data evaluations to real Microsoft Copilot AI confidence
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation und...
Read original[AINews] Building AIE CODE: The top Coding Agent Conference
Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps.
Read originalMicrosoft Research Focus – Edition #97
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-...
Read originalInto the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Om...
Read originalHow we detect frontier model misalignment
How we monitor frontier models, investigate concerning behavior, and test the limits of our safeguards.
Read originalCan Frontier Models See Past a Decoy? Elorian Tests Visual Reasoning
A new decoy counting benchmark exposes a gap between seeing and reasoning. Elorian’s Glimpse tries to bridge it by thinking with images.
Read originalGranite Switch 4.1.1 — Update models like you update software
Read originalSlice Into GFN Thursday: ‘Phantom Blade Zero’ Launches on GeForce NOW
This Halloween week, GFN Thursday is delivering a fresh batch of gaming treats. Something wicked this blade comes. S-GAME’s Phantom Blade Zero launches on GeForce NOW today, bringing a scarily good blend of martial arts...
Read originalLe Chonk: Built for Coders, Trusted by Defenders.
The weights of Mistral Large 4 (Le Chonk) are now open. A 1T parameter multimodal model, and best open-weight model for coding, trained in Europe.
Read original[AINews] Gemini 4 Carbon tops leaderboards, launches for cyber defenders
Google’s new frontier model leads independent evals, with access initially limited to trusted defenders.
Read originalWelcome Le Chonk: Mistral Large 4 on Hugging Face
Read originalIntroducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms
Read originalAnnouncing Project ProtoStar: Making Publicly Funded Science AI-Ready
Read originalWhy Agents Love Supabase
Paul Copplestone and Ant Wilson on building the backend for AI agents
Read originalGemini 4 Carbon: Our next frontier model
Read originalThin, Light and Built for Everything: NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games
NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI. These powerful systems com...
Read originalSources
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