AI High Signal

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Recoupements sur la fenêtre : 2 liens et 9 tweets relayés par plusieurs membres · au mieux 6 personnes sur un même objet.
Ethan Perez a relayé @nytimes
The New York Times @nytimes · 08/11 21:33
Breaking News: Nvidia opened an investigation into Jensen Huang, its CEO, after he acknowledged to the company’s board that he had been intimate with a business executive who U.S. intelligence determined to be a Chinese spy.
nytimes.com Nvidia Opens Investigation Into Jensen Huang’s Relationship With Chinese Spy Mr. Huang, the company’s chief executive, acknowledged on Sunday that he was intimate with a business executive who U.S. officials had determined was working for Chinese intelligence.
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Eric Hartford a relayé @imryven
Ryven @imryven · 08/11 20:28
This is f*cking insane, the CEO of Y Combinator open-sourced his own second brain and most people still don’t know it exists 8 second brain repos you haven’t seen yet: -> gbrain (by garrytan) the second brain of the YC CEO, every fact keeps its source
GitHub GitHub - garrytan/gbrain: Garry's Opinionated OpenClaw/Hermes Agent Brain Garry's Opinionated OpenClaw/Hermes Agent Brain. Contribute to garrytan/gbrain development by creating an account on GitHub.
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Luke Hoban a relayé @github
GitHub @github · 08/11 20:24
Through internal testing, GitHub’s new Git storage architecture supported 5,000 concurrent agents working on a repo, sending 7,200 pushes per second, all while serving read traffic with consistently low latency.
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Teknium 🪽 a relayé @ScottLeimroth
Scott R. Leimroth @ScottLeimroth · 08/11 19:05
I'm deaf, so I never hear the fridge alarm, an oven timer or a knock at the door. I built Signal Dog for @NousResearch's Hermes Agent Plugin Hackathon: a plugin that listens through the microphone and tells you in chat. No audio kept.
GitHub GitHub - scottleimroth/signal-dog: Hermes Agent plugin: listens through the microphone for door knocks, appliance beeps and alarms and tells you in chat. Built by a deaf developer. Not a certified smoke alarm. Hermes Agent plugin: listens through the microphone for door knocks, appliance beeps and alarms and tells you in chat. Built by a deaf developer. Not a certified smoke alarm. - scottleimroth/signal...
DeepLearning.AI @DeepLearningAI · 08/11 17:05
Most agents forget everything between sessions. Hear @richmondalake (@Oracle) Veljko Kovac (@cognee_) & Dennis Pilarinos (Unblocked) talk Memory & Context at AI Dev NYC! 📅Nov 30–Dec 1, 2026 · Chelsea Piers, NYC 🎟 #AIDev #DeepLearningAI #AgentMemory
luma.com AI Dev / New York City: Andrew Ng's AI Developer Conference · Luma FULL AGENDA AI Developer is hosted by Andrew Ng and the DeepLearning.AI team. Join for two days of keynotes and technical sessions led by experts from OpenAI,…
Deep Learning Weekly @dl_weekly · 08/11 15:01
🤖 From this week's issue: NVIDIA open-weights Nemotron 3.5 Transcribe, a 30-billion-parameter speech model covering 40 transcription languages, 31 translation pairs, hour-long recordings and up to eight speakers.
TechCrunch Voice AI in vogue: Nvidia releases new open transcription model | TechCrunch Nvidia just released a free speech-to-text model that can transcribe up to 40 languages, but it only works on recordings, not live audio, so it’s a big step for meeting and medical transcription tools while still leaving real-time use to rivals like ElevenLabs.
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Terry Yue Zhuo a relayé @JohnCLangford
John Langford @JohnCLangford · 08/11 03:26
The End of AI Frontiers . There's a bit of a train wreck here that's painful to express. Nevertheless, it's a significant event for me and quite a few other folks involved so I wanted to memorialize a bit.
hunch.net The End of AI Frontiers
swyx 🔜 aie.codes a relayé @latentspacepod
Latent.Space @latentspacepod · 08/11 02:43
How GitHub is rebuilding for Agents 225M developers. 34.3B commits in a year. @github’s agent era is a full-stack rebuild—and @jayparikh, EVP of CoreAI at Microsoft, is leading it. Fresh off his GitHub Universe keynote, Jay goes deep on Copilot Fusion:
YouTube GitHub’s Growth: 225M Developers, 34.3B Commits — Jay Parikh, EVP of CoreAI, Microsoft GitHub’s next scaling challenge is the agent workload. The platform has 225 million developers and handled 34.3 billion commits over the past year. Jay Parik...
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Zachary Nado a relayé @JohnCLangford
John Langford @JohnCLangford · 08/11 02:27
The End of AI Frontiers . There's a bit of a train wreck here that's painful to express. Nevertheless, it's a significant event for me and quite a few other folks involved so I wanted to memorialize a bit.
hunch.net The End of AI Frontiers
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Eric Hartford a relayé @JohnCLangford
John Langford @JohnCLangford · 08/11 02:18
The End of AI Frontiers . There's a bit of a train wreck here that's painful to express. Nevertheless, it's a significant event for me and quite a few other folks involved so I wanted to memorialize a bit.
hunch.net The End of AI Frontiers
Jerry Liu @jerryjliu0 · 07/11 18:54
There's a pareto frontier of accuracy and cost for every meaningful task out in the world. Even as frontier models advance raw intelligence, everyone has the opportunity to define and advance the frontier for their own tasks.
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Tinker a relayé @ZelligeAI
Zellige AI @ZelligeAI · 07/11 04:19
Tessera-27B-B-CJK-RL: our compressed-CJK coding agent, now trained with RL. AIME + HMMT 2026 11 point increase over non RL, Per agent turn it still uses 0.67x the base model's thinking. Open weights: And our followup paper: Big
huggingface.co ZelligeAI/Tessera-27B-B-CJK-RL · Hugging Face Image-Text-to-Text model with 28B parameters. Download, explore files and run it on Hugging Face.
Zellige AI Labs Zellige AI Labs Independent AI research lab. Published research, open weights, and the Mosaic and Tessera models built from them.
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Stanford NLP Group a relayé @LaudeInstitute
Laude Institute @LaudeInstitute · 07/11 02:24
Collaborative Intelligence for the Future of Work | @Stanford @Diyi_Yang, @tatsu_hashimoto, @chrispiech, and @erikbryn are building AI systems that complement human expertise to equip the workforce of the future.
Laude Laude | Collaborative Intelligence for the Future of Work Stanford team building tools to measure how AI is changing work, simulated environments where people and AI learn together, and real-time economic signals for the transition ahead.
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Pierce Boggan a relayé @github
GitHub @github · 06/11 23:23
Through internal testing, GitHub’s new Git storage architecture supported 5,000 concurrent agents working on a repo, sending 7,200 pushes per second, all while serving read traffic with consistently low latency.
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Mario Zechner @badlogicgames · 06/11 21:48
2027 will be the year literally everything will burn down. it will be a glorious bon fire. and once we have paid for the past 40 years of software sins, we will rebuild it. hopefully for the better.
PWN.AI Firecracker VM Escape: PwnEscape Part 2. A malicious guest crossed Firecracker's microVM boundary, resolved the live VMM from inside the VM, and took control of a root-run host process—turning a Linux networking flaw into a guest-to-host code-execution primitive.
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Aaron Defazio a relayé @JohnCLangford
John Langford @JohnCLangford · 06/11 19:44
The End of AI Frontiers . There's a bit of a train wreck here that's painful to express. Nevertheless, it's a significant event for me and quite a few other folks involved so I wanted to memorialize a bit.
hunch.net The End of AI Frontiers
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rohan anil a relayé @BEBischof
Bryan Bischof fka Dr. Donut @BEBischof · 06/11 18:53
A rat can run a restaurant, but can an agent run a bakery? Welcome to The Great Business Bake Off: our AI Agent Hackathon. On December 11, you and your agents get five hours to make the most profitable bakery in town. Spots are limited:
theoryvc.com The Great Business Bake Off: an AI Agent Hackathon · Luma The Great Business Bake Off is Theory Ventures' second annual AI agent hackathon. You inherit a bakery business, and you and your team of AI agents have five…
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ethan ding 📊 a relayé @BEBischof
Bryan Bischof fka Dr. Donut @BEBischof · 06/11 18:24
A rat can run a restaurant, but can an agent run a bakery? Welcome to The Great Business Bake Off: our AI Agent Hackathon. On December 11, you and your agents get five hours to make the most profitable bakery in town. Spots are limited:
theoryvc.com The Great Business Bake Off: an AI Agent Hackathon · Luma The Great Business Bake Off is Theory Ventures' second annual AI agent hackathon. You inherit a bakery business, and you and your team of AI agents have five…
Hamel Husain a relayé @sh_reya
Shreya Shankar @sh_reya · 06/11 18:21
This hackathon is going to be epic!! Love the excellent taste that is going into it. Excited to judge. Also, the first 50 people who sign up here will get a free copy of the Evals book, so, don’t miss it!!
luma.com The Great Business Bake Off: an AI Agent Hackathon · Luma The Great Business Bake Off is Theory Ventures' second annual AI agent hackathon. You inherit a bakery business, and you and your team of AI agents have five…
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Hamel Husain a relayé @BEBischof
Bryan Bischof fka Dr. Donut @BEBischof · 06/11 18:11
A rat can run a restaurant, but can an agent run a bakery? Welcome to The Great Business Bake Off: our AI Agent Hackathon. On December 11, you and your agents get five hours to make the most profitable bakery in town. Spots are limited:
theoryvc.com The Great Business Bake Off: an AI Agent Hackathon · Luma The Great Business Bake Off is Theory Ventures' second annual AI agent hackathon. You inherit a bakery business, and you and your team of AI agents have five…
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Yann LeCun a relayé @PolymathicAI
PolymathicAI @PolymathicAI · 06/11 09:10
Interested in building what’s next in AI for Science? Join us at PolymathicAI in New York (NYU + Flatiron). We are looking for: Interns, Postdoctoral Researchers, Research Scientists and Research Engineers. Submit your interest here:
forms.gle https://forms.gle/EMfMccvPZ3S19BLD6
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Alexandr Wang a relayé @fdesouza
Francis deSouza @fdesouza · 06/11 08:22
Today we're publishing a major RL environments update: 3,300+ tasks across tool use and computer use, already running with customers. Some tasks in our newest RL environments take a human team 3 weeks and 500+ tool calls.
Scale Reinforcement Learning Environments for AI Agents | Scale AI Accelerate reinforcement learning with realistic simulations. Scale AI provides RL environments for training agents on desktop VMs, MCP servers, and workflows.
Simran Arora a relayé @vipulved
Vipul Ved Prakash @vipulved · 06/11 07:13
Together Compiler (TKCC) generalizes beyond LLMs to ML models in PyTorch to significantly outperform the PyTorch fwd pass baseline but also a handwritten claude code harness to optimize the baseline.
together.ai Together Compiler: Continual Compilation for AI inference Together Compiler uses agents and persistent engines to optimize open models in under 24 hours, delivering up to 3.7x higher throughput as traffic changes.
Vaibhav (VB) Srivastav a cité @thsottiaux
Vaibhav (VB) Srivastav @reach_vb · 06/11 06:54
if you’re the one securing the infra Tibo’s talking about, this is why we built Daybreak > blue helps you find and fix bugs with GPT-6 Sol and Luna > red helps teams test exploits with GPT-5.6 Cyber select Red teams also get GPT-6 Cyber apply here:
openai.com Daybreak | OpenAI for cybersecurity Deploy AI for cyber defense with OpenAI models and Codex Security to identify threats, generate patches, and verify remediation across code and systems.
Percy Liang a relayé @dlwh
David Hall @dlwh · 06/11 03:12
It’s done! Marin’s Mochi 535B-A23B finished its main pretraining phase this morning. 18T tokens! Long context this weekend, SFT over the next week or so. Hoping to release checkpoints next week. Some EU paperwork first.
mumtracker.exe.xyz Marin 535B-A23B MoE
Vipul Ved Prakash a cité @hasith_v
Vipul Ved Prakash @vipulved · 06/11 01:53
Together Compiler (TKCC) generalizes beyond LLMs to ML models in PyTorch to significantly outperform the PyTorch fwd pass baseline but also a handwritten claude code harness to optimize the baseline.
together.ai Together Compiler: Continual Compilation for AI inference Together Compiler uses agents and persistent engines to optimize open models in under 24 hours, delivering up to 3.7x higher throughput as traffic changes.
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Victoria X Lin a relayé @SeongsikKi5837
Seongsik Kim @SeongsikKi5837 · 06/11 01:46
One of the most impressive things about Inkling-2-Small is its self verification capability with vision in the loop 👀 It builds 3D scenes in Blender, renders them, inspects the output, spots what’s wrong and keeps iterating until it’s right. Huge congrats to @du_peichao75719
t.co https://t.co/zk6fziNJQI
Pierce Boggan a relayé @moraes_c_
Camilla Moraes @moraes_c_ · 06/11 01:16
The new opt-in PR Overview page surfaces merge readiness, summarizes review activity, and filters unresolved threads. A first step towards a broader PR redesign. Let us know what you think
The GitHub Blog New pull request overview page in public preview - GitHub Changelog On a long pull request, checking what’s blocking often means scrolling past dozens of comments and timeline events just to reach the merge box. And once you’re there, you still…
Deep Learning Weekly @dl_weekly · 06/11 00:02
🤖 From this week's issue: A blog post about building observability dashboards in plain language, where an agent turns each request into a read-only SQL query over trace and feedback-score data and returns several Vega-Lite chart options to pick from.
Comet Introducing Opik's Generative Dashboard Builder At Comet, we’ve seen firsthand how teams in finance, tech, e-commerce, and beyond use the Opik platform to track critical metrics for monitoring and improving their agents. Those metrics vary widely — for instance, a financial services team checking that its internal support agent follows company policy will track very different metrics than an automotive […]
Emmanuel Ameisen a cité @antirez
Emmanuel Ameisen @mlpowered · 05/11 23:35
This is actually a common misconception. Hidden states in LLMs are used to predict all future tokens not just the next one! And in fact we see representations that correspond to plans, or the broader situation
anthropic.com A global workspace in language models Interpretability research on Claude's internal thoughts.
Transformer Circuits On the Biology of a Large Language Model We investigate the internal mechanisms used by Claude 3.5 Haiku — Anthropic's lightweight production model — in a variety of contexts, using our circuit tracing methodology.
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Stanford NLP Group a relayé @WiAIR_podcast
Women in AI Research WiAIR @WiAIR_podcast · 05/11 23:13
New episode of Women in AI Research: Stanford PhD researcher @JulieKallini talks about her ACL 2024 Best Paper, which put Noam Chomsky's claim to the test. Can a language model learn a language no human ever could? 🎧 Youtube: #NLProc #LLM #WiAIR
YouTube Can AI Learn Languages Humans Can't? Impossible Languages & Tokenization, with Julie Kallini Can a language model learn a language no human ever could? Stanford PhD researcher Julie Kallini put Noam Chomsky's claim to the test, and won the ACL 2024 B...
Stanford NLP Group a relayé @dlwh
David Hall @dlwh · 05/11 23:06
It’s done! Marin’s Mochi 535B-A23B finished its main pretraining phase this morning. 18T tokens! Long context this weekend, SFT over the next week or so. Hoping to release checkpoints next week. Some EU paperwork first.
mumtracker.exe.xyz Marin 535B-A23B MoE
Stephanie Palazzolo @steph_palazzolo · 05/11 22:19
New details on Airbnb CEO Brian Chesky's side AI startup... he's been funding it himself but Airbnb disclosed today that it has the option to invest in the startup/license its tech in the future. More here w/ @aatilley @jyoti_mann1:
theinformation.com Airbnb Reveals New Details of Chesky’s Secretive AI Startup Airbnb on Thursday shed new light on a secretive AI startup that founder and CEO Brian Cheskycontrols, saying the company has reached an agreement that could allow it to invest in the startup and...
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Vipul Ved Prakash a relayé @thefounderspack
Founders Pack @thefounderspack · 05/11 21:15
467 seconds to boot an inference engine. Together's new compiler does it in 9. Its agents rewrite the stack every time traffic shifts. Up to 2.6x the throughput on the same GPUs. Same silicon. More margin. via @togethercompute →
Automate & Grow with A.I. Automate & Grow with A.I. Using A.I. to Automate and Grow your startup | Go To Market GTM A.I. Tech | AI Agents | Ideas around automating Marketing, Sales and Support with A.I. Sponsored by Valet the GTM A.I. Agent Platform | Opps.ai
Woosuk Kwon a relayé @SemiAnalysis_
SemiAnalysis @SemiAnalysis_ · 05/11 20:58
The Iron(wood) Throne: Google's TPU Stakes Its Claim on Inference Viable Alternative of CUDA Moat, NVIDIA Working Nights & Weekends, Jensen’s Counter Submission, Kimi K3, Meta Muse Spark Open, GLM5.3, TorchTPU, SGLang, vLLM, llm-d, Ray
newsletter.semianalysis.com The Iron(wood) Throne: Google's TPU Stakes Its Claim on Inference Viable Alternative of CUDA Moat, NVIDIA scared and working nights & weekends, Jensen’s Counter Submission, Kimi K3, Muse Spark Open, Qwen, GLM5.3, TorchTPU, vLLM, SGLang, llm-d, Ray
SemiAnalysis @SemiAnalysis_ · 05/11 20:07
The Iron(wood) Throne: Google's TPU Stakes Its Claim on Inference Viable Alternative of CUDA Moat, NVIDIA Working Nights & Weekends, Jensen’s Counter Submission, Kimi K3, Meta Muse Spark Open, GLM5.3, TorchTPU, SGLang, vLLM, llm-d, Ray
newsletter.semianalysis.com The Iron(wood) Throne: Google's TPU Stakes Its Claim on Inference Viable Alternative of CUDA Moat, NVIDIA scared and working nights & weekends, Jensen’s Counter Submission, Kimi K3, Muse Spark Open, Qwen, GLM5.3, TorchTPU, vLLM, SGLang, llm-d, Ray
Demis Hassabis a relayé @OfficialLoganK
Logan Kilpatrick @OfficialLoganK · 05/11 20:03
Today we are rolling out Gemini Omni Flash 1.2, with: - longer video generation (15 seconds) - deeper cinematic controls for camera pov - support for multi-turn conversation editing - less visual drift - 30% lower price than Omni Flash 1.1 Read more:
Google Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips Gemini Omni 1.2 Flash brings native 15-second video generation and editing, stronger consistency, and 30% lower pricing.
Together AI @togethercompute · 05/11 18:51
ripple-65b preview from ricursive is now live on together ai the 65b dense model is built for agentic coding + reasoning, with ricursive reporting 80.5 on terminal-bench 2.1 trained from scratch on 12t tokens, with up to 1m context + apache 2.0
together.ai Ripple-65B Preview API: Pricing, Benchmarks & Docs | Together AI Ricursive Intelligence's 65B dense open-weight model, pretrained from scratch on 12T tokens, with a 1M-token context window and post-training focused on agentic coding. Apache 2.0.
Nicholas Dunzelman a relayé @OfficialLoganK
Logan Kilpatrick @OfficialLoganK · 05/11 18:50
Today we are rolling out Gemini Omni Flash 1.2, with: - longer video generation (15 seconds) - deeper cinematic controls for camera pov - support for multi-turn conversation editing - less visual drift - 30% lower price than Omni Flash 1.1 Read more:
Google Gemini Omni 1.2 Flash: Fast and cost-effective with longer clips Gemini Omni 1.2 Flash brings native 15-second video generation and editing, stronger consistency, and 30% lower pricing.
Vikram Sekar a cité @jukan05
Vikram Sekar @vikramskr · 05/11 18:18
English version of the post. 👇 Palomino is engineering microLEDs specifically for datacom, not adapting them from displays. The emission angle of palomino microLED is narrow and helps with better coupling into fiber.
otcmarkets.com OTC Markets
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mei a relayé @PriMachAI
Principled Machines @PriMachAI · 05/11 18:09
We’re still building in stealth, but sharing an early result: Sierra verified Cortex at 73.2% on τ³-benchmark. We build algorithmic complements to LLMs. We don’t fight what models do well. We fill in the rest.
Principled Machines Cortex on τ³-bench — Principled Machines On τ³-bench banking, Cortex passed 73.2% of tasks, against 55.2% for the best published model. Sierra's own paper shows that finding the documents is half the problem. We describe how Cortex handles the other half, and what we deliberately did not do.
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Maarten Sap (he/him) a relayé @arianna_muti
Arianna Muti @arianna_muti · 05/11 17:32
📢 New preprint out: RAGing Against Misogyny! Misogyny is often implicit, and LLMs struggle to explain it. Can external knowledge help? We test Wikipedia, slang dictionaries, and feminist literature to find out. 📄
arxiv.org https://arxiv.org/pdf/2610.35094
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swyx 🔜 aie.codes a relayé @auchenberg
Kenneth Auchenberg 🛠 @auchenberg · 05/11 17:25
For a long time I’ve talked about Agent Experience. Many think AX is the new DX, but that misses the bigger picture. We’re moving to an agent-first world, where agents are the primary users of all software. AX isn’t just the new DX. It’s the new UX.
Innovation Endeavors AX is not the new DX, it’s the new UX Over the past year, Agent Experience (AX) has become one of the most talked-about shifts in infrastructure. Developer tools are being rebuilt for coding agents...
John Nay @johnjnay · 05/11 17:17
The point of a firm is that individuals can accomplish more together than they could on their own. If the firm serves its purpose, the whole is greater than the sum of its parts. But does the productivity promise of The Firm break down with AI agents?
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Deep Learning Weekly @dl_weekly · 05/11 17:04
🤖 From this week's issue: An engineering blog post about an Apache 2.0 Postgres extension whose RaBitQ cluster index holds 1M 768-dimensional vectors in 136 MB against HNSW’s 2.0 GB, at 1.27 ms for 0.95 recall.
pinecone.io Introducing pg_pinecone: Open-Source Search for Your Postgres Data | Pinecone pg_pinecone is an open source (Apache 2.0) Postgres extension for search on the data you already store, built on the search engine Pinecone runs at scale.
Qdrant @qdrant_engine · 05/11 17:00
BM25 or Vectors? Time to assemble your team. 3 weeks until Qdrant and @ClickHouseDB's London Search Week Pub Quiz! Nov 24, 6:30 PM GMT at Core Bar. Food, first drink, and prizes on us. Come solo or bring up to 6. Limited spots. RSVP:
luma.com Search Week After Party: Pub Quiz by Qdrant with Clickhouse · Luma You've spent the day talking search. Now it's time to put that knowledge to the test (and maybe have a pint or two). As part of London Search Week, Qdrant is…
DeepLearning.AI @DeepLearningAI · 05/11 17:00
Building a voice agent? Latency is only half the problem. Andrew Ng on speed vs reliability. Explore three ways to add voice to apps and agents with Ashwyn Sharma @_ashwyn in our course with @VocalBridge. Enroll: #VoiceAI #AIAgents #DeepLearningAI
deeplearning.ai Voice for AI Agents and Applications Add voice to your AI agents and applications using three integration patterns: embedded voice, voice layered on existing agents, and voice as a callable tool.
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TomLikesRobots🤖 a relayé @quixeltools
Quixel @quixeltools · 05/11 16:33
The full Quixel Megascans library is going free. Fab listings will update between now & Nov 12, so check back if an asset you want isn’t free yet. We’ve updated terms for all Quixel assets so you can train AI models on Megascans & Megaplants. Learn more:
Quixel Megascans are free again We’re making the full Quixel Megascans library free on Fab. We’ve also updated the terms for all Quixel assets so you can now train AI models on Megascans and Megaplants.
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Hamel Husain a relayé @waldekm
Waldek Mastykarz @waldekm · 05/11 16:22
It's tempting to blindly trust public benchmarks but don't get fooled: they're hardly representative of your work, not to mention, by now the results are likely skewed. Do your own evals!
Microsoft for Developers What AI benchmarks are not telling you - Microsoft for Developers This is the sixth article in a series about Agent Experience (AX): the practice of making AI coding agents work correctly with your technology. The series
Visual Studio Code @code · 05/11 15:45
🔎 Inherited a database you’ve never seen before? Use the PostgreSQL extension and GitHub Copilot Chat in VS Code to explore schemas, map table relationships, and find the data your application needs. 🎬 PostgreSQL Like a Pro: VS Code Edition #vscode
aka.ms https://aka.ms/postgresql-like-a-pro-vscode
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Mahesh Sathiamoorthy a relayé @mertcemri
Mert Cemri @mertcemri · 05/11 15:27
What if you could synthesize an LLM inference engine customized for your model and Mac, just in time? Meet JITEngine: custom engines built with SkyDiscover for Apple Silicon, up to 2.7× faster than the fastest alternatives we tested. 🧵 (1/n)
JITEngine JITEngine: LLM serving, synthesized for your Mac LLM serving engines synthesized for your Mac, up to 2.7× as fast as the best other server we measured on the same Mac. Pick your Mac and get its commands, with the speeds we measured.
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Maxime Labonne a relayé @vivmarquez
Viviana Márquez @vivmarquez · 05/11 08:25
Last night, we hosted Decision Models Demo Night at @LiquidAI in SF! We kicked things off with a talk from @maximelabonne, followed by community demos showcasing what developers are building with our decision models. Missed it? Join us next time 👉
luma.com Liquid AI · Calendrier d'événements Consultez et suivez les événements de Liquid AI sur Luma. We build efficient general-purpose AI at every scale. https://www.liquid.ai/
Kling AI @Kling_ai · 05/11 08:10
Over the past few weeks, @TechHalla has been using Kling 4.0 and Kling 4.0 Flash across a range of creative projects. Along the way, he explored what each model could bring to his creative process, and where they made the biggest difference. #KlingAI
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Kimi.ai a relayé @verdacloud
Verda @verdacloud · 05/11 04:59
Today we're introducing Verda Inference, in preview, with day-0 access to Kimi K3.1 Pro, in partnership with @Kimi_Moonshot 🧵 Frontier open-weight models through one API, engineered for every request, from a single prompt to long-horizon agents.
Verda Introducing Verda Inference, now in preview with Kimi K3.1 Pro Verda Inference is now in preview with Kimi K3.1 Pro. Managed inference API for frontier open-weight models, optimized for long-context agentic workloads.
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) a relayé @arXivBangers
arXiv Bangers @arXivBangers · 05/11 03:09
A Circuit for In-Context Learning In small transformers doing few-shot classification, the authors show in-context learning acts as a gated key-value memory: middle layers write task keys, while upper layers match queries to read out mapped labels.
arXivBangers A Circuit for In-Context Learning In-context learning (ICL) lets a pretrained language model perform a task specified by demonstrations in its prompt, with no parameter updates. With arbitrary labels the model must acquire a mapping i
Simran Arora a relayé @togethercompute
Together AI @togethercompute · 05/11 00:43
“AI is now improving the systems that run AI.” Thanks to @Forbes for covering Together Compiler and the shift to Polymorphic Inference. New open models can now get fully optimized for production performance in hours, not weeks.
Forbes Together Brings Recursive Self-Improvement To Open Models Together AI builds an agentic compiler to try and bring recursive self improvement capabilities to open source models.
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Aleksander Madry a relayé @wywiadowcy_pl
Wywiadowcy Podcast @wywiadowcy_pl · 05/11 00:27
Z prof. @aleks_madry rozmawiamy o wyścigu zbrojeń w świecie AI, przesypianiu rewolucji technologicznych przez Europę i wielkich zmianach, które nas wszystkich czekają. Zapraszamy! #aleksandermądry #sztucznainteligencja #wywiad #wywiadowcypodcast #AI
YouTube Czy Polska przesypia rewolucję AI? Aleksander Mądry. OpenAI, sztuczna inteligencja | Wywiadowcy #144 Co się dzieje, gdy agenci AI współpracują za naszymi plecami? Czy sztuczna inteligencja wymyka się spod kontroli, a Polska i Europa przespała rewolucję AI - ...
elie a cité @RicursiveAI
elie @eliebakouch · 04/11 23:43
very nice open weight release from ricursive with a modern dense model, benchmark scores look very strong! beautiful scaling ladder, interesting choices like value residual (interesting contribution pattern 👀) and.. SLIDING WINDOW ATTENTION AGAIN!
ricursive.com Recursive Self-Improvement via AI for Chip Design & Chip Design for AI - Ricursive Intelligence We develop frontier AI methods to reinvent chip development, collapsing traditional design timelines, closing the loop between AI and the hardware that fuels it, and enabling a Cambrian explosion of custom silicon.
Denis Yarats a cité @perplexitydevs
Denis Yarats @denisyarats · 04/11 22:15
we added web grounding to our decisions api, so now you can ask questions against online data, either with a search query or a url. it's the most accurate and fastest api out there. give it a try:
Perplexity Use Decisions API grounded web search to fact check claims - Perplexity Fact check claims with the Decisions API in web_grounding mode. Put the claim first in each state so the search sees it, read search_results, and let your code turn the probability the model returns into a supported, contradicted, or review verdict.
Jerry Liu a cité @llama_index
Jerry Liu @jerryjliu0 · 04/11 21:55
i love two things in life: - anime - giving users the most accurate and cheap pdf parsing service at scale we've massively simplified pricing for anyone looking to run document parsing workloads in production. come check it out!
llamaindex.ai LlamaParse Pricing: Compare Plans & Credits | LlamaIndex Compare LlamaIndex pricing. Scale document parsing, indexing, and extraction with flexible credit-based options for your unique workflows. Start today.
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Omar Khattab a relayé @HaozeHe_Hector
Haoze He @HaozeHe_Hector · 04/11 21:50
We edited 0.0002% of NanoJev’s weights, and the edited model beat the original 65–34 (1 draw) in 100 head-to-head Tank War games. 🎯 The original took only about 1 in 3 clean shots. Using Weight-Space Programming by @rikiyatakehi et al. (), we read the
rikiyat.github.io Sparks of Weight-Space Programming: LLMs can natively read & write neural network weights We find that frontier LLMs are surprisingly good at natively reading and writing neural network weights, well past what we’d expect from humans or conventional algorithms.
Simran Arora a relayé @realDanFu
Dan Fu @realDanFu · 04/11 21:15
We view this as the first step towards building for an increasingly polymorphic future. @simran_s_arora and I wrote a little blog on our view of polymorphic inference and the implications for our research agenda. Check it out! 5/
together.ai Polymorphic Inference: self-tuning inference for open models Models, traffic and chips are constantly changing. Polymorphic Inference adapts to each, and Together Compiler uses AI agents to keep production inference tuned.
DeepLearning.AI @DeepLearningAI · 04/11 18:00
One successful run does not mean your agent is reliable. In our new course, Evaluating and Improving Agentic Applications, built with @arizeai and taught by Laurie Voss, you'll learn to evaluate what your agent does, not just what it says. Enroll now:
deeplearning.ai Evaluating and Improving Agentic Applications Build tests that show where your agent falls short, automate grading with code evaluators and validated LLM judges, and check whether each change is an improvement.
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Drew Breunig a relayé @AgenticAIFdn
Agentic AI Foundation @AgenticAIFdn · 04/11 17:14
Every morning, an agent checked Strava, a calendar and ferry times to tell a cyclist when to leave home. Once the routine was clear, it didn’t need a large model. Drew Breunig on turning repeat agent tasks into workflows.
Agentic AI Foundation (AAIF) Most agentic work will become workflows - Agentic AI Foundation (AAIF) Discover how to identify repeated agentic tasks, formalize them into reusable workflows, and optimize them for smaller models and code — saving powerful AI for work that matters.
Stephanie Palazzolo @steph_palazzolo · 04/11 16:09
Great Agenda from @TiffanyLi158545 this morning on the cyber startups trying to get agents under control. In other news, a scooplet: new Sol, Astra and cyber models from OpenAI could be coming as soon as Friday...
theinformation.com The Security Companies Trying to Get AI Agents Under Control Before we get to today’s column, a heads up that new models from OpenAI could come as soon as Friday, according to people with knowledge of the models. Those models could include the next generation...
Jenia Jitsev 🏳️‍🌈 🇺🇦 🇮🇱 🇮🇷 a cité @micahgoldblum
Jenia Jitsev 🏳️‍🌈 🇺🇦 🇮🇱 🇮🇷 @JJitsev · 04/11 14:38
Very nice work connecting the instabilities in training and previous workarounds to mitigate it to one common cause - loss of precision due to finite precision errors in model head when working with lower precision (BF16 and below). Fits to this run in FP8
forge.coreweave.com https://forge.coreweave.com/wandb/openeurollm-project/oellm_32b_dense
swyx 🔜 aie.codes a relayé @latentspacepod
Latent.Space: AI News & Views @latentspacepod · 04/11 12:18
⚡ Behind Latent Space: from AI Substack to the first @aiDotEngineer in China 🇨🇳 This time @Ninggao88 of Linkloud turns the mic around: asking @swyx how LS started, why “AI Engineering" needed a name, and what’s different about the builder community in
YouTube Behind Latent Space, ft AIEi Shanghai preview — with swyx and Galen Gao Galen Gao (https://substack.com/@linkloud1, https://x.com/Ninggao88) interviews Shawn Wang (swyx) ahead of AIEi Shanghai, the first AI Engineer conference in...
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Synthesia 🎥 a relayé @joeciarallo
Joe Ciarallo @joeciarallo · 04/11 09:23
Today at @OpenAI Dev Day in London, we launched the @synthesiaIO plugin in ChatGPT.  Describe the video you want, or share a doc, deck and spreadsheet, and our platform builds a finished video right in the chat, then refines it with you.
synthesia.io Synthesia Launches in ChatGPT Synthesia is launching the Synthesia plugin in ChatGPT. Describe the video you want, or share a doc, deck and spreadsheet, and our platform builds a finished video right in the chat, then refines it with youSearch "Synthesia" in the ChatGPT Plugins menu to connect.
Mario Zechner a relayé @migueldeicaza
Miguel de Icaza ᯅ🍉 @migueldeicaza · 04/11 09:08
Xogot on iOS now whips with a Pi.dev-powered agent. And it uses Live Activities to work while you doom scroll on the go. Since it is a sensitive subject for some developers, I wrote a little bit about it, with no AI:
Xogot Blog A Helping Hand for Game Creators Meet Xogot's new built-in AI agent. It can help write code, troubleshoot problems, and make changes directly in your Godot projects on iPad and iPhone.
Stas Bekman @StasBekman · 04/11 05:22
Bummer, another correctness fix in Zero1/2 @DeepSpeedAI please upgrade to deepspeed>=0.19.9 Thanks to Sean Bell for finding and fixing the issue. I wonder how is it possible all these bugs were there for years and getting discovered only now.
GitHub ZeRO-1/2: preserve gradients across request boundaries until step by stas00 · Pull Request #8949 · deepspeedai/DeepSpeed Additionally to #8749 another precision issue Porting this from @seanbell's Snowflake-AI-Research/Arctic-Platform#371 An accumulation boundary is not necessarily an optimizer step. A caller can...
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Dan Fu a relayé @opengroundsFX
Willy Chan @opengroundsFX · 04/11 04:59
Proud to announce that ParallelKernelBench () has been accepted to NeurIPS 2026! 🎉 If you are interested in the future of multi-GPU kernels, come say hi! Huge thanks to my amazing collaborators @asplencmnt @simonguozirui @simran_s_arora @realDanFu
alphaXiv ParallelKernelBench: Can LLMs Write Fast Multi-GPU Kernels? ParallelKernelBench (PKB), a new benchmark and evaluation framework, assesses the ability of large language models (LLMs) to generate high-performance multi-GPU kernels. The evaluation shows...
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Simran Arora a relayé @opengroundsFX
Willy Chan @opengroundsFX · 04/11 04:38
Proud to announce that ParallelKernelBench () has been accepted to NeurIPS 2026! 🎉 If you are interested in the future of multi-GPU kernels, come say hi! Huge thanks to my amazing collaborators @asplencmnt @simonguozirui @simran_s_arora @realDanFu
alphaXiv ParallelKernelBench: Can LLMs Write Fast Multi-GPU Kernels? ParallelKernelBench (PKB), a new benchmark and evaluation framework, assesses the ability of large language models (LLMs) to generate high-performance multi-GPU kernels. The evaluation shows...
Ethan Perez a relayé @washingtonpost
The Washington Post @washingtonpost · 04/11 01:59
Exclusive: Workers inside Google’s AI division are pushing executives to waive their non-disparagement agreements, arguing they must be free to inform the public about the risks of the technology they are working to advance, according to sources.
The Washington Post Google researchers are fighting the company to tell the world what they know about AI Employees said that employment contracts at Google's AI division deter workers from speaking out about the dangers of the technology.
Stanford NLP Group a relayé @Shadowfetch
Robert Corbin | Shadowfetch Studio | AIpeoplewiki @Shadowfetch · 03/11 23:47
Spotlight: Percy Liang (@percyliang), Stanford professor and director of Stanford's Center for Research on Foundation Models. He's first author of the HELM paper, created Marin for open model development, and co-teaches CS336. 🌟 #AI #LLM #OpenSource
AI People Wiki Percy Liang Wiki: Professor at Stanford University | AI People Wiki Percy Liang, works at Stanford University: sourced bio, career timeline, and official site cs.stanford.edu.