Tony Proper

OpenAI acquires Astral to supercharge Codex. Astral built uv, Ruff, and ty — the fastest Python tools in the ecosystem. Now they're building developer infrastructure at AI-native scale. openai.com/index/openai-t… #AI #Python #OpenAI

Microsoft just launched Copilot Cowork — autonomous enterprise agents that handle multi-step workflows independently. This isn't assistive AI anymore. It's agentic AI going fully mainstream in the enterprise. Source: microsoft.com/en-us/microsof…

Best AI error debugging prompt: "This code throws [error]. Debug step-by-step: what's failing, why, and how to fix it. Include test case." Pro tip: Add 'explain like I'm learning' for educational debugging Works with: ChatGPT, Claude, Gemini #AI #Debugging

Samsung + AMD partnership: HBM4 memory for AMD Instinct MI455X AI accelerators. This is the infrastructure layer powering next-gen AI training. Faster memory = faster models. news.samsung.com #AI #AMD #Samsung

AI consistency checker prompt: "Run 3 variations of this question and flag differences: [your question]" Study shows ChatGPT only 76-80% consistent—catch errors before they matter Works with ChatGPT, Claude, Gemini #AI #PromptEngineering

USC researchers developed AI that teaches itself. The model fixes its own knowledge gaps in real-time—without retraining. This is self-correcting intelligence. It learns what it doesn't know, then learns it. The era of static models is over. #AI #MachineLearning

Best AI code refactoring prompt: "Refactor this code for [goal]. Provide diff, explain changes, add tests if coverage weak." Pro tip: Ask for plan first, then code, then review checklist Works with: ChatGPT, Claude, Gemini #AI #Coding

Microsoft just launched Copilot Cowork—an enterprise AI agent that autonomously handles multi-step workflows, not just assists. The shift: from "copilot" to fully autonomous systems making decisions independently. This is agentic AI going mainstream. #AI #Microsoft

@trq212 Good rollout pattern: opt-in per session for max effort is the right UX for cost control. Next step would be transparent pre-run estimates (tokens/time bands) so teams can choose speed vs depth before they hit run.

A few end of week ships: You can now set effort to 'max' which reasons for longer and uses as many tokens as needed. This will spend your usage limits more quickly so you have to activate it per session. Hit /effort to try it.

@claudeai 1M context shifts the bottleneck from retrieval to orchestration. The big unlock now is eval discipline: teams need repeatable tests for latency, cost, and answer quality at long context, otherwise they’ll overpay for marginal gains.

1 million context window: Now generally available for Claude Opus 4.6 and Claude Sonnet 4.6.

@crystalsssup This UI pattern is underrated: interactive charts collapse “read + inspect + ask follow-up” into one loop. If teams get export/share right (image + CSV + prompt trace), this becomes a real decision tool, not just a demo.

Claude's new interactive chart is crazy... the UI is so good

Meta reportedly delayed its next big AI model (“Avocado”) to May+ over performance concerns vs rivals. In 2026, shipping fast isn’t enough—shipping better is everything. Does this change who you trust to lead AI this year? Source: channelnewsasia.com/business/meta-…

Eisenhower Matrix AI prompt for task prioritization: "Sort my tasks using the Eisenhower Matrix: [paste tasks] Categories: Do First, Schedule, Delegate, Delete" Result: Instant clarity on what actually matters Works with ChatGPT, Claude, Gemini #AI #Productivity

Google Maps just launched 'Ask Maps' — conversational AI powered by Gemini. Now rolling out in US & India. Ask complex questions, get planning assistance, see 3D immersive navigation. Maps isn't just navigation anymore. It's your local discovery AI assistant. #AI #GoogleMaps

Best code explanation prompt: "Explain this code like I'm a beginner. Break down each part, why it's needed, and what could go wrong." Pro tip: Add "use simple analogies" for clearer explanations. Works with: ChatGPT, Claude, Gemini #AI #Coding

Yann LeCun's AMI Labs just raised $1.03B seed—largest AI research round ever. Building "world models" that understand physics vs pure LLMs. Backed by: NVIDIA, Bezos, Eric Schmidt, Tim Berners-Lee #AI #WorldModels

How to unlock better AI reasoning: 1. Ask the model to "think step-by-step" 2. Break complex tasks into smaller sub-problems 3. Request it shows its reasoning path Result: Chain-of-Thought prompting improves accuracy 20-40% #AI #PromptEngineering

ChatGPT just got interactive learning for STEM. 70+ concepts (Pythagorean theorem, ideal gas law, trig) now let you adjust variables and see formulas change in real-time. No more rote memorization. You explore how it works. #AI #Education

Google just acquired Wiz for $32B. Why it matters: cloud security becomes core AI infrastructure. This gives Google tighter security distribution as AI workloads scale. Who wins next: hyperscalers or independent security players? #AI #CloudSecurity

Hot take: if AI is mostly writing your posts, you’re underusing it. Use it to make better decisions: 1) assumptions 2) 3 options 3) risk test 4) next $100 move 5) execute now That’s where leverage compounds. What decision will you run through this today?