Turing Post

What gives people agency, what creates dependence, and what humans do when necessity no longer tells them who to be

Newest AI models to explore ↓ Frontier / Commercial GPT-5.6 (Sol, Terra, Luna) GPT-Live Claude Fable 5 Claude Mythos 5 Muse Spark 1.1 Muse Image Muse Video Grok 4.5 Research / Open Gemma 4 InternVLA-A1.5 NVIDIA Audex SenseNova-Vision RynnWorld-4D Vidu S1 AlayaWorld LingBot-World Check this out for the links and more important news! turingpost.com/p/if-we-must-a…

Must-read papers of the week ▪️ Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling ▪️ Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity ▪️ SkillOpt-Lite: Better and Faster Agent Self-evolution via One Line of Vibe ▪️ LLM-as-a-Verifier: A General-Purpose Verification Framework ▪️ Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process ▪️ OpenCoF: Learning to Reason Through Video Generation ▪️ dOPSD: On-Policy Self-Distillation for Diffusion Language Models ▪️ Flex-Forcing: Towards a Unified Autoregressive and Bidirectional Video Diffusion Model ▪️ TurnOPD: Making On-Policy Distillation Turn-Aware for Efficient Long-Horizon Agent Training ▪️ Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning ▪️ Look Before You Leap: Distilling Tree Search into Action Evaluation for Frozen VLA Models Find the full list and the most impactful AI news here: turingpost.com/p/if-we-must-a…

Can a faster CPU really make agents faster? NVIDIA (the GPU giant itself!) is now putting CPUs front and center. And the real reason goes far beyond their new Vera chip

3 recaps to help you stay on track with what's most important in AI in 2026 ▪️ AI Agents in 2026: Local, Physical, Responsible AI - Skill Engineering - OpenClaw and Hermes Agent - VLAs - Recursive self-improvement ▪️ AI Concepts and Techniques in 2026: - Conditional Memory - Fine-tuning stack beyond RL - Tokens running AI - Chips: Taalas, MatX, Vera Rubin ▪️ The Org Age of AI: A Collection of Enterprise AI Adoption Guides - The unsexy truth of AI adoption - Building an AI-native startup from day one - Real AI workflow patterns Links to all collections below :)

What gives people agency, what creates dependence, and what humans do when necessity no longer tells them who to be

@nlw Oh just wait for it

I don't think I could hate Anthropic's communications more.

There was a reason why I highlighted it, and I didn’t see it mentioned in other coverage. I was testing Pets, and here is what I discovered. It was a quick but telling test: Different Pets produced utterly different results. The idea, structure, language, what to address, and what to discuss were so different that it felt like using a different model. The formatting was also completely different, but that is more explainable. One of them was Codex, so you can assume it would use a more programming-like structure. Why do I think this is important? There are ten Pets. Then there are six levels of effort and two speed options. That gives us up to 120 possible combinations. This will either be super convenient, once you know what each Pet is good at and which settings work best for each task, or completely confusing, because first you need to test them all on a bunch of similar tasks. Pets look like a fun customization feature. But they might actually change how we interact with the model, and make choosing the right interface a task of its own. #openai @sama

A lot of what you wrote here resonates with me, you mentioned post-scarcity society - and I think it’s something we need to think a lot about and start building correct institutions to understand what gives people agency, what creates dependence, and what humans do when necessity no longer tells them who to be. I would really love to know what you think about what I’ve written yesterday x.com/kseniase_/stat…

The new rules for securing coding agents ⬇️ We recommend joining @RubrikInc's live webinar: Securing Claude: Playbook for Governing Coding Agents → bit.ly/4vozMsI to learn: • A practical AI security architecture • Live demo of governing Claude in action • Real-world failure cases • Why legacy security breaks down Coding agents can now read, write, and execute code on their own. But security tools were built for human-speed threats. And that really needs to change. Date: July 14. Reserve your seat!

Follow @TheTuringPost for more. Get deep analysis, guides & breakdowns of what AI is about now. Join 100,000+ readers from top AI labs, VC funds & universities.: turingpost.com/subscribe

@tamsi_besson Great addition, thanks!

@TheTuringPost You forgot youtube.com/watch?v=7xTGNN…

12 free courses to master LLMs ▪️ Cohere LLM University ▪️ Hugging Face LLM Course ▪️ Hugging Face AI Agents Course ▪️ Google / Kaggle 5-Day Gen AI Intensive ▪️ DeepLearning. AI Short Courses ▪️ Hugging Face Context Course ▪️ Google / Kaggle 5-Day AI Agents Intensive ▪️ DeepLearning. AI Retrieval Augmented Generation Course ▪️ DeepLearning. AI Building Agentic RAG with LlamaIndex ▪️ Weights & Biases AI Academy ▪️ LangChain Academy: Introduction to LangGraph and Deep Agents ▪️ DeepLearning. AI AI Agents in LangGraph + Berkeley Advanced LLM Agents, Stanford CS25 and CS224N Grab all the links here turingpost.com/p/llms-courses :)

@aiseomastery thank you, this is cool :)

@TheTuringPost Saving this list, twelve free courses in one place is hard to beat.

The more exciting future is the combination of human intelligence and AI intelligence. We talked to Sarah Bird, Chief Product Officer of Responsible AI at Microsoft, about the part of the AI future that still has no settled answer: How to preserve meaningful human oversight without slowing autonomous systems back down to human speed? Watch our full conversation on trustworthy AI, agent control, and why responsibility can’t simply be built into the model: youtube.com/watch?v=G0BJ67…

SkillCenter – a new package manager for agent skills It’s like an App Store for AI agents. With just one command you can install ready-made skills and plug them into Claude Code, OpenClaw, Codex, or any custom agent setup SkillCenter: - Crawls GitHub repos and skill libraries - Extracts SKILL. md / SOUL. md files - Turns them into one searchable index Docker, React, RAG, security, research, and thousands of other skills become discoverable, portable and reusable. The developers argue this is the missing layer between "it runs" and "it's actually correct." Basically, infrastructure for the post-prompt era

AI Agents in 2026: Local, Physical, Responsible AI turingpost.com/p/ai-agents-in… AI Concepts and Techniques in 2026: Memory, Inference, Fine-Tuning & Tokens turingpost.com/p/ai-concepts-… The Org Age of AI: A Collection of Enterprise AI Adoption Guides turingpost.com/p/the-org-age-…