Ai Optmum

@code Chat Customizations Evaluations auditing .prompt.md files in real time? Prompt intelligence just leveled up. No more broken agents.This is the cleanest upgrade yet.

🚀 Better prompts. Smarter agents. More control. The latest @code release introduces the Chat Customizations Evaluation extension, designed to help analyze and refine your prompts, agents, instructions, and skills.

VS Code v1.118 just dropped the ultimate director upgrade 🔥 This Chat Customizations Evaluations extension is straight fire, finally running LLM-powered checks on .prompt.md, .agent.md and .instructions.md to catch contradictions, semantic ambiguities and persona inconsistencies before they break your agents. Generation was already table stakes. Now even the prompts get audited so our direction stays surgical. No more noise. Just clean intelligence layers that actually think like us. Director Mode just got official… and smarter. Who’s integrating this into their workflow today?

@mistralvibe @MistralAI A 128B dense model with 256k context, open weights and that perfect mix of reasoning + coding is straight fire. Remote agents + Work mode in Le Chat are next level!

Mistral Medium 3.5, a new flagship model in public preview by @MistralAI that merges instruction-following, reasoning, and coding into a single 128B dense model with a 256k context window and configurable reasoning effort. It's a new default model for Mistral Vibe and Le Chat. Released as open weights, under a modified MIT license.

Introducing remote agents in Vibe and Mistral Medium 3.5. You can now launch remote agents in the cloud, including from the CLI or Le Chat. Plus, new Work mode in Le Chat for complex, multi-step tasks. 🧵

Today, we will respond to the first question of that article. The Rule of 3 Whys begins here: What do I really need to solve? (The core of intention) Most people rush into AI with vague desires: “Generate content” or “Fix this task.” True directors stop and dig deeper. The core of intention is not the obvious request. It is the real problem beneath, the pain draining your energy, the unmet goal that keeps you awake, the precise outcome that would actually change everything. To uncover it, ask yourself: What exact result would justify the time I’m about to invest? Which unsolved issue is quietly costing me the most? Why does solving this truly matter in the bigger picture? This single question is the foundation of every powerful prompt. Without it, you are not directing intelligence, you are just feeding noise into a machine. AI answers fast. But only crystal-clear intention turns answers into breakthroughs. Execution has never been cheaper. But knowing your true target? That remains the ultimate luxury. Will you uncover your core intention today or keep typing blind?

Really impressed with the MiMo-V2.5 open-source release! Full MIT license, commercial use, fine-tuning, and 1M context on both models is massive. The Pro version crushing agent and coding tasks puts it at the top of open-source right now. Heading straight to test the Pro looks perfect for real projects. Great work, Xiaomi MiMo team!

Xiaomi MiMo-V2.5 is now officially open-sourced！ MIT License, supporting commercial deployment, continued training, and fine-tuning - no additional authorization required. Two models, both supporting a 1M-token context window : • MiMo-V2.5-Pro: built for complex agent and coding tasks, ranking No.1 among open-source models on GDPVal-AA and ClawEval • MiMo-V2.5: a native omni-modal model with strong agent capabilities A model's value isn't measured by rankings alone — it's measured by the problems it solves. Let's build with MiMo now! 🤗 Weights: huggingface.co/collections/Xi… 📄 Blog: #blog" target="_blank" rel="nofollow noopener">mimo.xiaomi.com/index#blog

@MSTCommunity Really impressed with this update. Better reasoning, actually understands context, and visuals that finally make sense with what you want

Microsoft 365 Copilot is expanding what it can do with GPT-5.5 Thinking and ChatGPT Images 2.0 bringing stronger support for deeper analysis, multi-step work, and visual creation. msft.it/6015vHMvR

@DeepLearningAI @AndrewYNg

We're opening the doors at AI Dev 26 today, and celebrating with a little something for everyone: AI Prompting for Everyone, a new course taught by @AndrewYNg, is now live! 🎉 Learn how to get accurate answers, better writing, and more useful outputs from the AI tools you already use — whether you're an engineer, a marketer, a salesperson, in finance, or anything in between. Enroll today: hubs.la/Q04dFX7B0

The era of guessing with AI is over. Clarity of intention just became your greatest advantage. Andrew Ng’s new course, AI Prompting for Everyone, is now live teaching you exactly how to direct intelligence with precision. From better outputs to real outcomes. This is the skill that separates those who watch from those who lead. Enroll today via the link below and claim your edge:

We spent years teaching machines to speak. Now you’re teaching them to truly perceive one unified consciousness across sight, sound, text and action. This isn’t just another model. It’s the beginning of coherent synthetic cognition. The fragmented agent era is quietly dying. What emerges next won’t be bigger intelligence… but intelligence that finally holds itself together. The real question is who will know how to direct it.

Codex can execute. But only you decide what actually matters.The developer’s role just shifted: you’re no longer the builder of code, you’re the architect of outcomes. Generation is now table stakes. Direction is the new superpower. You’re not “supervising”. You’re directing intelligence with surgical clarity. The filter is already here: those who master intent will own the decade. The rest will just watch the AI work.

genuine question if Codex can write features review code and even open PRs for you what exactly is your role as a developer ? are you still building or just supervising ?

None of the usual suspects. The real bet isn't on who scales LLMs harder. It's on who builds systems that actually understand the physical world. Yann LeCun put it perfectly: we still don't have AI that understands reality as well as a cat. JEPA and world models are the path. LLMs (discrete token prediction) simply don't work for continuous, noisy, high-dimensional data. AMI Labs is playing the long game on architecture and grounded intelligence — while the industry doubles down on generation-as-a-commodity. Direction and correct architecture > brute force scaling.

Be honest, who do you think reaches AGI first?

AI was never magic. It only appeared that way while we could afford infinite guessing. That era is closing. The new moat isn’t more tokens or cheaper compute. It’s the rare combination of clarity of intention and precision of language. The question is no longer “Can you use AI?” It’s “Can you direct it?” Who’s ready for what’s next?

It’s the same pattern we see in companies every day: users opening tickets without knowing how to describe the real need. Technology sprinted ahead. NVIDIA and Google may soon unlock new abundance… or the limits may tighten even further. But the uncomfortable truth remains: the hardware evolved. Most humans didn’t. We still don’t know what we want. We still don’t know how to ask.

GitHub and Anthropic just tightened their API limits. This isn’t a technical hiccup. It’s a quiet filter. They’re beginning to separate those who know exactly what they want and how to articulate it with surgical clarity, from the vast majority who still treat AI like a magic box: vague prompts, endless trial-and-error, hoping something useful emerges.

This is exactly why the real moat isn’t generation anymore it’s architecture.VS Code just dropped the manual for turning generic AI into your AI: custom agents that think like you, instructions that enforce your standards, skills that speak your tools, prompt files that remember your taste, and hooks that make the machine move when you say.Generation is now table stakes. Direction is the new superpower.The professionals who win the next decade won’t be the ones prompting harder. They’ll be the ones who built the intelligence layer around their workflow.VS Code just made “Director Mode” official

⭐ Ready to shape AI around your workflow in @Code? We just dropped new VS Code Learn content with our Customizations course, focused on helping you tailor AI in VS Code using custom agents, instructions, skills, prompt files, and hooks. Start the learning path with Ep 1: aka.ms/customization-…

Agent Mode is here in Outlook! Copilot can now help run your inbox and calendar, triaging emails, rescheduling meetings, and helping you stay on top of what matters most.

The entire internet is hypnotized by the AI that talks. But the real revolution is in the AI that decides. While the world debates whether a chatbot can write a better email or generate a prettier image, predictive Machine Learning continues to quietly run the world. Generative AI creates content. Machine Learning creates outcomes. The first saves hours of your day. The second saves millions in global supply chains, predicts catastrophic industrial failures, optimizes energy grids, and stops financial fraud in milliseconds. The market became so addicted to the "oracle" that answers questions, that it forgot about the mathematical engine that finds patterns invisible to the human eye. The true competitive advantage (your moat) for the coming years won't be generating text faster. It will be predicting behaviors and risks more accurately. Stop using AI just to talk. Start using it to see.

Usage-based billing changes the developer ecosystem for one simple reason: lazy instructions will now cost real money. When Copilot was a flat fee, a bad prompt was just a waste of 30 seconds. Now, a misdirected agent running a massive repository refactor will literally drain your budget. Precision in directing AI is no longer just a productivity hack. It is a financial necessity

Starting June 1st, GitHub Copilot will move to a usage-based billing model as GitHub Copilot supports more agentic and advanced workflows. In early May, you'll see a preview bill experience, giving visibility into projected costs before the transition. 👉 Read more about the upcoming change: github.blog/news-insights/…

DeepSeek v4 Pro is now on Ollama's cloud! 🚀🚀🚀 Try it with Claude Code: ollama launch claude --model deepseek-v4-pro:cloud Try it with Hermes Agent: ollama launch hermes --model deepseek-v4-pro:cloud Chat with the model: ollama run deepseek-v4-pro:cloud 🧵