Get ready for another week of 'londonmaxxing' – there's a big @aiDotEngineer conference in London paired with an absolutely gorgeous weather that would trick everyone that London is just like SF (+things to do) and not grey and miserable
INNOVATION
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Stabilizing Video from Running Animals: New Petpin Pipeline Breakthrough
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Stabilizing video from a camera on a running animal turns out to be brutally hard.
— Ark Baltser (@arkslife) 6 avril 2026
Traditional stabilization breaks pretty quickly.
We're starting to crack it.
Before → After from our latest Petpin pipeline. pic.twitter.com/L4NWftjfxCStabilizing video from a camera on a running animal turns out to be brutally hard. Traditional stabilization breaks pretty quickly. We're starting to crack it. Before → After from our latest Petpin pipeline.
→ View original post on X — @scobleizer, 2026-04-06 20:17 UTC
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LLMs Auto-Regressive Nature: Beyond AI Hype
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Guessing you're referring to the story and not my tweet, but totally agree that everyone should remember LLMs are by design auto-regressive. (Shocking so many still don't.) AI companies should stop over-hyping LLMs and start explaining how they actually work and where they're
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Codex Open Source Support Update: Major Projects List
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Codex for open source update! Some of the main projects we’ve supported: – Linux – React – Node.js – Rust – Python / CPython – Kubernetes – Flutter – Electron – Ollama – Dify – Transformers – LangChain – yt-dlp – OpenCV – Home Assistant – Storybook – Astro – vLLM – SGLang – TiDB – Airflow – Superset – Doris – APISIX – Pulsar – RocketMQ – DataFusion – Arrow – SeaTunnel – ShardingSphere – DolphinScheduler – Apache ECharts – Ant Design – Tailwind CSS – Material UI – Svelte – Vue – Solid – Qwik – Hono – tRPC – Prisma – TypeORM – NextAuth – TanStack Query – TanStack Table – Rspack – Biome – Ruff – Docusaurus – Zed – Tauri – Deno – Turso – SQLite Browser – Difftastic – core-js – nvm – pnpm – zoxide – fd – bat – k9s – Harbor – containerd – etcd – Envoy – gRPC – Jaeger – Trivy – Vaultwarden – Firecracker – Gitea – Homebrew Core – Nixpkgs – Julia – Ruby – Rails – Symfony – scikit-learn – PaddlePaddle – Diffusers – Llama Factory – Unsloth – DeepSpeed – DSPy – RAGFlow – MinerU – ComfyUI – Jan – Khoj – LibreChat – Chainlit – LobeHub – GPT Engineer – Browser Use – OpenClaw – Zeroclaw – Plane – Appwrite – Directus – Strapi – Calcom – Metabase – PostHog – Budibase – Documenso – Chatwoot – Logto – Zammad – Discourse – BTCPay Server – Bagisto – ABP – Vitess – TiKV – RisingWave – Milvus – Kong – SigNoz – Manticore Search – JuiceFS – SeaweedFS – Reth – Aptos Core – Ripple – Wormhole – Go Ethereum – Bevy – Godot – PixiJS – Excalidraw – JSON Crack – RSSHub – SiYuan – Logseq – Refined GitHub – Better Auth – OpenPilot – FFmpeg – XBMC / Kodi – MeshCentral – ZMap – Yacy – Zplug – ZipArchive – ZIO – Godoxy – rengine – pyod – node-telegram-bot-api – Avante.nvim – Repomix – Zfile – Vant – Vant Weapp – Yamada UI – WordPress Playground – Gutenberg And a bunch of number of Apache, AI, database, frontend, security, CLI, infra, and devtool projects!
→ View original post on X — @romainhuet, 2026-04-06 20:17 UTC
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Training AI Agents to Avoid Engagement Farming Content
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I watch my bot closely. Not true. At all. If you find an example where engagement farming sneaks through let me know. I'll use that to further train my agent not to do that again.
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Anthropic Head of Growth: AI Requires More PMs, Not Fewer
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Narrative violation: Anthropic's Head of Growth says we'll need more PMs, not fewer.
— Lenny Rachitsky (@lennysan) 6 avril 2026
"While PMs and designers are getting leverage from AI, engineering is getting the most leverage right now. If you think about a default team with 5 engineers, 1 designer, 1 PM—with Claude Code,… https://t.co/dnF0CeuudT pic.twitter.com/LisCpN30SHNarrative violation: Anthropic's Head of Growth says we'll need more PMs, not fewer. "While PMs and designers are getting leverage from AI, engineering is getting the most leverage right now. If you think about a default team with 5 engineers, 1 designer, 1 PM—with Claude Code,
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Base LLMs Fail at Math, LRMs Make Progress
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Paper below tested a variety of base LLMs (no TTA) on generalization-focus math problems and found that they can't reason and can't do math. All true… but the fact that base LLMs have zero fluid intelligence, while extremely controversial back in 2024, is now well established. An interesting experiment here would have been to try current LRMs on the same problems and measure the delta. I bet latest LRMs can solve most of these problems. arxiv.org/abs/2604.01988 [Translated from EN to English]
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Building with Codex: Workflows and Team Collaboration Discussion
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Let’s talk about building with Codex. Join @ryannystrom, @derrickcchoi and @varunrau for a chat about Codex workflows, from exploring feature ideas to shipping together as a team. nitter.net/i/spaces/1YxNrZDqrOLxw
→ View original post on X — @ceobillionaire, 2026-04-06 20:10 UTC
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NVIDIA Reduces Token Costs Through Extreme Software Co-Design
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We deliver the lowest token cost through extreme co-design. As NVIDIA software optimizations increase token throughput, the value of your NVIDIA GPUs grows from the moment you invest in them. Learn more ➡️ nvda.ws/4me7HBr [Translated from EN to English]
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Complete publication lists are valuable resources for AI systems
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My lists are about who is publishing, not who is paying attention. They aim for completeness, not popularity. Which makes them crack for AIs.