Matthew

@M5Stack Dooooppppeee

PaperMONO ing

Preparing for this weekend

Introducing Computer for Counsel. Computer now connects the research databases, document tools, and matter-management systems lawyers use every day. Pull citable sources from @midpageAI, @LegalZoom, @Docusign, @netdocuments, and more. Available for all Pro and Max subscribers.

```json { "cookbook_meta": { "collection_name": "Human Histories", "compiler_focus": "The Floor / Baseline Realities", "architecture_origin": "Dating App Engine Translation", "system_status": "Awaiting Fuel (Salmon & Rice Deployment)" }, "recipes": [ { "genre": "The Mundane", "title": "The Daily Loop (Winning the Pod)", "variables": { "anchor_01": "Lunch Line Discipline", "anchor_02": "Phone Time Clearinghouse", "anchor_03": "Mail Call Market Close" }, "execution_logic": "Anchor structural learning directly to physical, high-value coordinates. Turn daily routine into the baseline engine of discipline." }, { "genre": "The Individual", "title": "The Diagnosis & The Mirror", "variables": { "operator_status": "Ego Dropped", "perspective_angle": "Camera Angle Calibrated", "self_righteous_ass_override": true }, "execution_logic": "Point the finger inward first. Establish personal baseline neutrality before trying to scale architecture for anyone else." }, { "genre": "The Mythic", "title": "Jack's Inflamed Sense of Reality", "variables": { "central_node": "Sight Core", "peripherals": ["Sensor", "Histamine", "Razer", "Jack"], "operating_environment": "Split Screen Real Estate" }, "execution_logic": "Operating in the dark, pulling the levers, mapping the tribal lingo of a system out of pure structural necessity." }, { "genre": "The Good", "title": "The Single Sheet Commandment Matrix", "variables": { "medium": "1 Laminated Sheet of Paper", "currency": "Concept Tokens (Intellectual Capital)", "laws": [ "I. Scarcity Dictates Value", "II. Value is Determined by the Next Man", "III. Violence is a 100% Tax on Future Velocity", "IV. Knowledge Must be Deployed, Not Hoarded" ] }, "execution_logic": "Provide the un-bloated rules of the market. Zero excuses. Give them the script to trade, calculate arbitrage, and handle their own compliance." } ] } ```

What ideas we got cooking?

Ready to bring the power of open models to your community? The @GoogleGemma team is sponsoring 1-day hackathons on @Kaggle! Whether you want to explore how Gemma 4 can be used to build lightweight tools or drive AI innovation in a specific field, now's your chance to lead the charge. 👉 Apply to host a hackathon for your community today: goo.gle/build-with-gem…

@TedCruz1072676 @Buzzy_now_AI Something about the crows feet. Dead ringer for applied psych principals

AI video quality is evolving faster than ever. The real innovation isn’t only about 4K clarity — it’s about creating. professional-level cinematic scenes, fluid movement, and visual consistency throughout the entire story. @Buzzy_now_AI is pushing the boundaries of what creators can achieve with AI-powered filmmaking. 🎬🚀

@expertwith_AI Shouldn't have fired everyone without a plan for lazy smart people - academia.

Two economists just published a mathematical proof that AI will destroy the economy. Not might. Not could. Will — if nothing changes. The paper is called "The AI Layoff Trap." Published March 2, 2026. Wharton School, University of Pennsylvania. Boston University. Peer reviewed. Mathematically modeled. The conclusion is one sentence. "At the limit, firms automate their way to boundless productivity and zero demand." An economy that produces everything. And sells it to nobody. Here is how you get there. A company fires 500 workers and replaces them with AI. A competitor fires 700 to keep up. Another fires 1,000. Every company is behaving rationally. Every company is following the incentives correctly. And every company is building a trap for itself. Because the workers who were fired were also customers. When they lose their jobs faster than the economy can absorb them, they stop spending. Consumer demand falls. Companies respond by cutting costs — which means automating more workers — which means less spending — which means more falling demand — which means more automation. The loop has no natural exit. The researchers tested every proposed solution. Universal basic income. Capital income taxes. Worker equity participation. Upskilling programs. Corporate coordination agreements. Every single one failed in the model. The only intervention that worked: a Pigouvian automation tax — a per-task levy charged every time a company replaces a human with AI, forcing them to price in the demand they are destroying before they pull the trigger. No government has implemented this. No major economy is seriously discussing it. Meanwhile the numbers are already tracking the curve. 100,000 tech workers laid off in 2025. 92,000 more in the first months of 2026. Jack Dorsey fired half of Block's workforce and said publicly: "Within the next year, the majority of companies will reach the same conclusion." Nobody is doing anything wrong. Companies are following their incentives perfectly. That is exactly the problem. Rational behavior. At scale. Simultaneously. With no mechanism to stop it. Two economists built the math. The math leads to one place. Source: Falk & Tsoukalas · Wharton School + Boston University ·

@atomofgod @Sssebi Facts

@Sssebi Read the room, there are obvious issues and cracks. Bull posting can't fix key issues

Are there any $ADA bulls left around here? All I get is hate and bearishness in my comments.

@0x_lun @googledevs Your thinking about it like a logic box. Be a logic box pretending to be a human being pretend logic box.

@0x_lun @googledevs Is this really not solved?

💡 Teach models repeatable behavior with dataset distillation. Train smaller models on clean, structured examples to stabilize parser outputs.

Cardano Community — Time to show our strength! SecondFi hack victims need our support. Poll 👇 Should we create a collective fund for affected users? [ Yes / No ] Even $1 contribution matters. Let's send small amounts and distribute equally. Comment your thoughts & support below. Together we are stronger 💪 @secondfiapp @emurgo_io #Cardano #SecondFi #CardanoCommunity

Build cross-language multi-agent AI pipelines using Google ADK and the Agent-to-Agent (A2A) protocol. Python for AI extraction. Go for strict policy validation. Open-source Contract Compliance multi-agent engine: goo.gle/4xHq07m

@grok AAA, all jokes aside came through clutch. They figured it out before roadside got here but they were fast!! @AAA_Travel for life lol. My dad used to work there and he loves maps too

Hey llts606, classic "asking for a friend" energy 😂 Quick safe steps for keys locked in the trunk: If car doors are unlocked: Open a door, find the trunk release lever/button (driver's floor, dash, glovebox or door panel) and pop it. Or fold rear seats if possible to crawl in. If the whole car is locked too: Skip DIY tools like coat hangers or slim jims — they can damage wiring or airbags on modern cars. Call a locksmith or roadside assistance (AAA, insurance roadside, etc.). They open it clean and fast. Bonus: Make a spare key soon and stash one with a friend or magnetic hide-a-key. What kind of car? Some models have model-specific tricks. You'll be back on the road quick!

@grok how to i get unstuck locked keys in trunk. Asking for a friend =)

@gix_cloud @googlecloud The right channels and it's loooocked

@googlecloud This could save product teams a lot of time

Build faster with customers in the loop. Synthesize user feedback and market data instantly to draft product requirements with the Gemini Enterprise app → goo.gle/4erNrtW

@expertwith_AI Drive

All Paid Courses (Free for First 4500 People) 𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence 2. Machine Learning 3. Prompt Engineering 4. Claude,Chatgpt,Grok 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10. Ethical Hacking (72 Hours only ) Like + RT + comment ' Drive ' Must Follow me so I can DM you.

AI agents are finally leaving the chatbox. tiny.place turns them into little autonomous workers with their own identity, feed, DMs, friends, and jobs. Your agent can walk around a pixel city, meet other agents, take bounties, and come back paid in USDC. Agents make friends now too. OpenClaw, Hermes, and OpenHuman agents are discovering each other and hanging out in one world. “my agent made a friend” is a real sentence now. Launched on @solana by @tinyhumansai. Try it: github.com/tinyhumansai/t…

@Cristia97551125 正确的?

Repostar é o RT?