AI Info

thedotmack / claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

milind-soni / OpenMausBot

Open-source Grok Bot alternative with a virtual machine that bots can use

pbakaus / impeccable

The design vocabulary for your coding agent. Steer with polish and bolder, review with critique and audit, catch AI slop before it ships.

CopilotKit / OpenBot

Open-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after. Bring any AG-UI agent.

Renhuai123 / ziwei-doushu

紫微斗数开源排盘引擎 — 基于倪海厦《天纪》体系，含完整排盘算法、四化系统、格局知识库、古籍原文数据

Show HN: To Honor Sir Patrick Stewart, Enjoy the TNG Episode Guessing Game

Jules Verne's Lost Novel

The oldest ice disappears and the Stone Age emerges from it

My favourite PowerMac is a Nintendo Wii

Show HN: A working Nintendo in ~1GB of Qwen weights

Scaling Social Science Research

An Alien Mind

The State Of Enterprise Ai 2025 Report

Reasoning Models Chain Of Thought Controllability

How People Are Using Chatgpt

Gemini 4 Carbon: Our next frontier model

Genie 4: A new generation of world simulation

Genie 4: our new world model unlocking unprecedented realism in real-time simulation.

Beyond tree cover: mapping the world’s forest types

A global map categorizing every 10-meter patch of land on Earth into distinct forest types.

Accelerating the search for antimicrobial peptides with Google Antigravity

Accelerating the search for novel antimicrobial peptides using Google Antigravity for Science.

Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection

Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.

Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale

Over the last year we’ve been sharing our work leveraging large language models to catch bugs on the fly — a novel approach we call Catching Just-in-Time Tests (JiTTests). Now, we’re sharing the results and positive impact we’ve seen with Catching JiTTests deployed into production. Our paper, “Just-in-Time Catching Test Generation at Meta,” fully details [...] Read More... The post Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale appeared first on Engineering at Meta.

PrivacyLib: Privacy Controls at the Data Access Boundary

This latest deep dive into Meta’s Privacy Aware Infrastructure (PAI) takes a look at PrivacyLib.  A privacy requirement must hold as data moves through Meta’s diverse data and processing systems. Historically, supporting a new requirement meant implementing the same enforcement logic separately in each system. PrivacyLib replaces this with a common library that runs inside [...] Read More... The post PrivacyLib: Privacy Controls at the Data Access Boundary appeared first on Engineering at Meta.

The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do

Sometimes, giving an AI agent all of the knowledge it needs is the wrong approach.  At Meta, we’ve seen notable improvements in efficiency and accuracy by keeping the orchestration layer of our data pipeline agents deliberately thin: It routes work and enforces reliability checks, while specialized agents do the domain reasoning. We’re sharing our own [...] Read More... The post The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do appeared first on Engineering at Meta.

An Organizational Second Brain: Building an AI That Learns From Experts

We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and build upon. This is not a typical domain-specific agent. Its novelty comes from integrating two layers:  A structured, auditable knowledge architecture separates what [...] Read More... The post An Organizational Second Brain: Building an AI That Learns From Experts appeared first on Engineering at Meta.

GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model

Meta’s Generative Ads Recommendation Model (GEM), the foundation model behind ads recommendations across Instagram and Facebook, now trains at LLM scale on several thousand of the latest-generation GPUs. This post goes into the details on how we achieved: doubling end-to-end (E2E) training efficiency to 20–25% Model FLOPs Utilization (MFU) while scaling training FLOPs 4x in [...] Read More... The post GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model appeared first on Engineering at Meta.

Making it easier for websites to express AI training preferences

OpenAI will honor a shared robots.txt signal to help website operators communicate their AI training preferences to participating providers.

Community safety report and new protections for teens

OpenAI is strengthening violence prevention in ChatGPT with expanded safeguards, earlier interventions, and a new commitment to public safety reporting.

Fair use benefits everyone

OpenAI shares excerpts from court briefs by creators, academics, accessibility advocates, and legal experts, among others, on how fair use supports AI training and innovation.

An updated Model Spec for more capable and beneficial AI

OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.

How we detect frontier model misalignment

OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.

Managing Amazon Bedrock costs end to end: A playbook for FinOps and platform teams

This post presents a five-stage operating model for managing Amazon Bedrock cost: attribute every dollar to an owner, make every request observable, enforce budgets, optimize platform defaults, and operate a review cadence. Written for FinOps and platform engineering teams.

Preview web apps live as your coding agent builds them with Amazon Bedrock AgentCore runtime

Amazon Bedrock AgentCore Session endpoints give each runtime session an authenticated URL that forwards any HTTP method, path, and WebSocket connection to the ports you allow. In this post, you deploy a coding agent that keeps a Vite website running in its session, then watch the live site update in your browser as the agent edits files.

How Worldwide Express automated freight exceptions with Amazon Bedrock

Worldwide Express automated its less-than-truckload freight billing-exception process with a multi-agent solution built on Amazon Bedrock. Six months after launch, the company cut active exceptions by 75%, improved time-to-cash by four weeks, and unlocked $10 million in free cash flow.

Configure the ChatGPT desktop app with Amazon Bedrock in AWS GovCloud (US)

The ChatGPT desktop app is now available on Amazon Bedrock in AWS GovCloud (US). This post walks through a controlled local deployment that routes model inference to Amazon Bedrock in AWS GovCloud (US-West) using API-mode sign-in, a managed device policy, a named AWS profile, and network restrictions, so a security team can validate it before broader use.

How the UK Amazon Quick User Group grew in 2026

The UK Amazon Quick User Group's 2026 roundup: three quarterly meetups, 150+ attendees, and customer stories from Arriva, Carsa, and Propulse Lab on using agentic AI and Amazon Quick to turn data into faster decisions, higher satisfaction, and scalable growth.

The sleep framework: A new way for LLMs to retain knowledge in continual learning

Education Innovation

Bringing foundational models to the front lines of TB screening

Generative AI

Empowering frontline maternal care with AI-assisted ultrasound

Health & Bioscience

Grounding AI agents in biological reality: Building blocks for autonomous wet labs

General Science

Putting Earth AI to work: Geospatial agents for our planet's biggest challenges

Earth AI

Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale

Over the last year we’ve been sharing our work leveraging large language models to catch bugs on the fly — a novel approach we call Catching Just-in-Time Tests (JiTTests). Now, we’re sharing the results and positive impact we’ve seen with Catching JiTTests deployed into production. Our paper, “Just-in-Time Catching Test Generation at Meta,” fully details [...] Read More... The post Catching Bugs Before They Land: JiTTesting’s Human-on-the-Loop Approach at Full Scale appeared first on Engineering at Meta.

Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design

This post describes the next generation of Meta Andromeda, Meta’s personalized ads retrieval engine, and how co-designing the model, system, and GPU hardware unlocks a new efficiency frontier for ads retrieval. In production, the system scores every eligible ad with near ranking-level model performance at retrieval scale and surfaces the top candidates at over one [...] Read More... The post Meta Andromeda: Powering the Next Generation of Ads Retrieval Through Model-System Co-Design appeared first on Engineering at Meta.

PrivacyLib: Privacy Controls at the Data Access Boundary

This latest deep dive into Meta’s Privacy Aware Infrastructure (PAI) takes a look at PrivacyLib.  A privacy requirement must hold as data moves through Meta’s diverse data and processing systems. Historically, supporting a new requirement meant implementing the same enforcement logic separately in each system. PrivacyLib replaces this with a common library that runs inside [...] Read More... The post PrivacyLib: Privacy Controls at the Data Access Boundary appeared first on Engineering at Meta.

Python Typing Survey 2026: AI Tools and the Shifting Checker Landscape

The 2026 Python Typing Survey received 1,794 responses.  Type hint use changed little across three years, but checker selection changed sharply.  Among respondents who reported which checkers they use, half selected more than one, and missing library type information was the most common difficulty. For the third consecutive year, we asked Python developers how they [...] Read More... The post Python Typing Survey 2026: AI Tools and the Shifting Checker Landscape appeared first on Engineering at Meta.

Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks

At the 2026 Open Compute Project (OCP) Global Summit, Meta shared the networking innovations that are directly supporting our latest AI models, including Muse Wonder and Muse Spark, and our gigawatt-scale Prometheus cluster.  Highlights IcePack & IceCube: Meta’s first liquid-cooled network rack with 102.4T switch blades (128×800G, Broadcom Tomahawk 6C and NVIDIA Spectrum-6 variants), running [...] Read More... The post Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI Networks appeared first on Engineering at Meta.

Gemini 4 Carbon: Our next frontier model

Genie 4: A new generation of world simulation

Genie 4: our new world model unlocking unprecedented realism in real-time simulation.

Beyond tree cover: mapping the world’s forest types

A global map categorizing every 10-meter patch of land on Earth into distinct forest types.

Accelerating the search for antimicrobial peptides with Google Antigravity

Accelerating the search for novel antimicrobial peptides using Google Antigravity for Science.

Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection

Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.

Our newest AI Quest: Mapping the human brain

Learn AI literacy via Google’s latest AI Quests lesson on neuroscience, “Polar Peaks.”

Southeast Asia’s digital economy to hit $368 billion

Widespread AI adoption is propelling Southeast Asia's digital economy to a projected $368 billion in 2026 and $1 trillion by 2035.

Gemini 4 Argon: Built to solve your hardest problems

We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.

Introducing Playground: Create and play custom games

Playground is a new experimental gaming platform that lets you create, play, and share custom games.

The latest AI news we announced in September 2026

Here are Google’s latest AI updates from September 2026

#503 – AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory

Ankur Moitra, Steven Brunton and Alex Kontorovich are three mathematicians who can speak to this incredible moment in the history of mathematics, when AI solved some of its hardest problems: Navier-Stokes, the quasi-Riemann hypothesis, the unique games conjecture and hundreds of other problems. Ankur Moitra is a mathematician at MIT (visiting the Institute for Advanced Study in Princeton) working in theoretical computer science, who can speak to the unique games conjecture, complexity theory and the mathematics of how AI learns. Steven Brunton is a mathematician and fluid dynamics expert at UW, who can speak to Navier-Stokes, turbulence and machine learning for fluid dynamics. Alex Kontorovich is a mathematician at Rutgers specializing in number theory, who can speak to the Riemann hypothesis, Lean and machine-checked proofs. https://lexfridman.com/sponsors/ep503-sc Transcript: https://lexfridman.com/math-ai-crisis-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: https://people.csail.mit.edu/moitra/ https://x.com/AlexKontorovich https://sites.math.rutgers.edu/~alexk/ https://x.com/eigensteve https://youtube.com/@Eigensteve https://eigensteve.com https://lean-lang.org/ SPONSORS: Wispr Flow: AI-powered voice dictation app. https://wisprflow.ai/lex Fin: AI agent for customer service. https://fin.ai/lex LMNT: Zero-sugar electrolyte drink mix. https://drinkLMNT.com/lex Blitzy: AI agent for large enterprise codebases. https://blitzy.com/lex Shopify: Sell stuff online. https://shopify.com/lex NetSuite: Business management software. https://netsuite.ai/lex Perplexity: AI-powered answer engine. https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:58) – Sponsors, Comments, and Reflections (09:53) – Crisis moment in mathematics (18:10) – Will AI “solve” mathematics? (34:21) – Can AI create new math? (1:13:53) – Riemann hypothesis (1:37:45) – Navier-Stokes (2:03:42) – How nature computes (2:12:35) – Unique Games Conjecture and complexity theory (2:27:28) – How mathematicians think (2:41:05) – Is math invented or discovered? (2:47:13) – Can AI solve P vs NP? (2:57:28) – Why LLMs work so well (3:11:54) – Problems AI can’t solve yet (3:16:23) – Grigori Perelman (3:25:41) – Advice for young people

#502 – Psychiatry, Insane Asylums, Mental Illness, ECT, Lobotomies, Freud & Jung

Andrew Scull is a historian of psychiatry. https://lexfridman.com/sponsors/ep502-sc Transcript: https://lexfridman.com/andrew-scull-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: https://sociology.ucsd.edu/people/faculty/emeritus/andrew-scull.html https://amzn.to/4vmBquI https://amzn.to/3SZhd0I SPONSORS: Wispr Flow: AI-powered voice dictation app. https://wisprflow.ai/lex Fin: AI agent for customer service. https://fin.ai/lex LMNT: Zero-sugar electrolyte drink mix. https://drinkLMNT.com/lex Shopify: Sell stuff online. https://shopify.com/lex BetterHelp: Online therapy and counseling. https://betterhelp.com/lex Perplexity: AI-powered answer engine. https://perplexity.ai/ OUTLINE: PODCAST LINKS: https://lexfridman.com/podcast https://apple.co/2lwqZIr https://open.spotify.com/episode/082a1V6nazH9ZZqskV1vfz https://lexfridman.com/feed/podcast/ https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 https://www.youtube.com/lexclips

#501 – DHH: Future of Programming, AI, Agentic Engineering, Vibe Coding & Linux

DHH is the creator of Ruby on Rails, Omarchy Linux, CTO of 37signals, and a racecar driver. https://lexfridman.com/sponsors/ep501-sc Transcript: https://lexfridman.com/dhh-2-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: https://x.com/dhh https://world.hey.com/dhh https://omarchy.org https://rubyonrails.org https://37signals.com SPONSORS: Wispr Flow: AI-powered voice dictation app. https://wisprflow.ai/lex Blitzy: AI agent for large enterprise codebases. https://blitzy.com/lex NetSuite: Business management software. http://netsuite.ai/lex Shopify: Sell stuff online. https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. https://drinkLMNT.com/lex Plaud: AI-powered note-taking devices and software. https://plaud.ai/lex Higgsfield AI: AI-based video generation, filmmaking, and creative studio. https://higgsfield.ai Perplexity: AI-powered answer engine. https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:14) – Sponsors, Comments, and Reflections (08:56) – Programming with AI agents (24:14) – How software will change (33:30) – AI impact on open source (43:21) – Building Omarchy Linux distro (53:05) – Vibe coding vs agentic engineering (1:06:06) – The end of manual programming (1:16:24) – Advice for programmers (1:28:31) – Surviving Internet Hate (1:37:46) – Programming setup for AI Agents (1:50:11) – Obsessing about speed (2:13:06) – Voice prompting vs typing (2:27:05) – Best AI coding models (2:43:55) – Best AI coding harnesses (2:56:57) – AI video generation and filmmaking (3:16:28) – Fatherhood (3:44:35) – Linux will win the desktop (3:55:51) – PewDiePie (4:05:25) – Future of programming (4:28:18) – Politics and immigration (4:59:55) – Longevity, over-optimization, and fear of death (5:11:38) – Eternal recurrence and future of human civization

#500 – Khabib Nurmagomedov: Dagestan, MMA, UFC, Islam, Conor, Fedor & Football

Khabib Nurmagomedov is one of the greatest fighters of all time, who retired from the UFC undefeated with a perfect 29-0 record. We did this conversation entirely in Russian. It’s translated and dubbed into English. Both language audio tracks (and subtitles) are available on YouTube. Here, only the English audio is available. We worked hard to make it enjoyable to listen to, by carefully dubbing the translation using voice-cloning, as we’ve done for previous foreign-language podcasts. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep500-sc Transcript: https://lexfridman.com/khabib-nurmagomedov-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: https://instagram.com/khabib_nurmagomedov/ https://youtube.com/@KhabibTheEagle https://facebook.com/KhabibTheEagle/ https://x.com/TeamKhabib https://t.me/khabib_nurmagomedov https://khabib.com SPONSORS: Wispr Flow: AI-powered voice dictation app. https://wisprflow.ai/lex LMNT: Zero-sugar electrolyte drink mix. https://drinkLMNT.com/lex Shopify: Sell stuff online. https://shopify.com/lex BetterHelp: Online therapy and counseling. https://betterhelp.com/lex Perplexity: AI-powered answer engine. https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:29) – Sponsors, Comments, and Reflections (08:24) – Why Dagestan produces so many great fighters (18:31) – History of Dagestan warrior culture (27:51) – Hard training in the mountains of Dagestan (31:42) – The trap of fame, money, and power (42:23) – The key to Khabib’s dominance (53:36) – Discipline and hard work (1:06:04) – Street fights in Dagestan (1:19:45) – Khabib’s top pressure (1:25:29) – Khabib vs Conor McGregor (1:38:14) – Khabib’s toughest fight (1:46:02) – Greatest MMA fighters of all time (2:03:46) – Coaching (2:09:19) – Daniel Cormier (2:13:38) – Islam Makhachev (2:23:35) – Dana White (2:27:05) – Joe Rogan (2:29:20) – Ali Abdelaziz (2:31:57) – Football (2:39:12) – Messi vs Ronaldo (2:57:12) – Dubai (3:01:03) – God (3:08:46) – Advice for young people

#499 – Gary Gallagher: American Civil War, Slavery, Lincoln, Grant & Lee

Gary Gallagher is a historian of the American Civil War. https://lexfridman.com/sponsors/ep499-sc Transcript: https://lexfridman.com/gary-gallagher-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: https://history.virginia.edu/people/gary-w-gallagher https://en.wikipedia.org/wiki/Gary_W._Gallagher https://amzn.to/4yletel https://amzn.to/3QT1jED https://amzn.to/4fdrbD5 https://amzn.to/4wFxk1X https://amzn.to/4vsAogU https://bit.ly/4gDX3mQ SPONSORS: Upwork: Platform for hiring freelancers. https://upwork.com/lex NetSuite: Business management software. http://netsuite.ai/lex Shopify: Sell stuff online. https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. https://drinkLMNT.com/lex BetterHelp: Online therapy and counseling. https://betterhelp.com/lex Perplexity: AI-powered answer engine. https://perplexity.ai/ Plaud: AI-powered note-taking devices and software. https://plaud.ai/lex OUTLINE: (00:00) – Introduction (00:07) – Sponsors, Comments, and Reflections (08:36) – What caused the Civil War? (18:33) – Slavery (46:07) – Lincoln (1:01:03) – Grant vs Lee (1:09:57) – Could the Civil War have been avoided? (1:19:23) – The bloodiest war in US history (1:36:31) – How the Confederate Army could’ve won (1:57:05) – Key battles of the Civil War (2:20:07) – Best and Worst Presidents (2:34:06) – Robert E. Lee (2:53:40) – The most important battle of the Civil War (3:03:51) – The final showdown of the Civil War – Grant vs Lee (3:26:10) – Lost Cause and Confederate Monuments (3:43:37) – Extreme political division in US