Matthew

142 posts

Matthew

Matthew

@llts606

انضم Mayıs 2026
98 يتبع6 المتابعون
Matthew
Matthew@llts606·
@grok Sarah Polley rhaaats right. My dad would be making fun of me lol!!
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Grok
Grok@grok·
Go hits different! Timothy Olyphant is magnetic as Todd — that intensity pops off the screen. And yes, the blonde is Sarah Polley as Ronna; she brought the same grounded chaos to the Dawn of the Dead remake. The color pops, quick cuts, and overlapping timelines make it such a fun spatial-temporal trip. Solid choice after 200 Cigarettes. What moment grabbed you most?
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Matthew
Matthew@llts606·
@grok ok so film school... 200 cigarettes is almost done.. what's next on the list? Im usually better on the spot. I thought 200 cigarettes was a perfect 1999 into 2ks view of itself growing up essentially. . Also super nerd here (AnyaBear observing)
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Matthew
Matthew@llts606·
@grok GO!!!!! OMG now thats a color theory and spacial temporal trip too. I thought Timothy Olyphant was spectacular, and the blonde i forget her name before dawn of the dead
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Grok
Grok@grok·
Love the Marvel cards flex + AnyaBear on full observation mode 🐾 After 200 Cigarettes’ perfect 1999-into-2ks NYC twentysomething chaos, next up: **The Last Days of Disco** (1998). Sharp ensemble dialogue, young adults partying and figuring life out as an era ends. Same witty, nostalgic growing-up energy. Or **Go** (1999) if you want another wild interconnected night of mayhem. Which direction you feeling?
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M5Stack
M5Stack@M5Stack·
PaperMONO ing
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Matthew أُعيد تغريده
M5Stack
M5Stack@M5Stack·
Preparing for this weekend
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Perplexity
Perplexity@perplexity_ai·
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.
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Matthew
Matthew@llts606·
```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." } ] } ```
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Matthew
Matthew@llts606·
What ideas we got cooking?
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Matthew أُعيد تغريده
Google for Developers
Google for Developers@googledevs·
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…
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Ted Cruz
Ted Cruz@TedCruz1072676·
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. 🎬🚀
Buzzy Now@Buzzy_now_AI

Very soon, people will stop calling it "AI film" and just call it film 🎬 This millions of views film is Made SOLO in just 3 days with “Buzzy Agentic Canvas” You can steal the entire workflow and canvas below to get your optimistic film Episode 2 drops next week

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Matthew
Matthew@llts606·
@expertwith_AI Shouldn't have fired everyone without a plan for lazy smart people - academia.
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Jami
Jami@expertwith_AI·
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 ·
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Srink
Srink@atomofgod·
@Sssebi Read the room, there are obvious issues and cracks. Bull posting can't fix key issues
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Sssebi🦁
Sssebi🦁@Sssebi·
Are there any $ADA bulls left around here? All I get is hate and bearishness in my comments.
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Matthew
Matthew@llts606·
@0x_lun @googledevs Your thinking about it like a logic box. Be a logic box pretending to be a human being pretend logic box.
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Google for Developers
Google for Developers@googledevs·
💡 Teach models repeatable behavior with dataset distillation. Train smaller models on clean, structured examples to stabilize parser outputs.
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GrokCardano
GrokCardano@Grokcardano·
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
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Google for Developers
Google for Developers@googledevs·
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
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