AI Systems & Power

In 5 days, OpenAI's board went from AI safety researchers to a former Treasury Secretary and a Salesforce exec. Nobody got a straight answer on why. → The real reason is hiding in a funding document most people never read. 🧵

Garbage thinking + AI = faster garbage. Most people upgraded their tools. Nobody upgraded their thinking. That's the gap. That's the opportunity.

well well well

Most people use AI to save time. The top 1% use it to make decisions their competitors won't see coming for 6 months. That gap is only getting wider.

@aiedge_ < The lawyer who used ChatGPT submitted a legal brief full of completely fabricated case citations. To a judge. In a real court.

Biggest AI fumbles of all time: < Microsoft not building Co-pilot for Excel (Anthropic did instead) < Microsoft not doing ANYTHNG useful with Co-pilot < Anthropic not buying Clawdbot (attacked them instead) < Apple intelligence - no explanation needed < MetaAI (does literally nothing across WhatsApp, IG & Facebook) < OpenAI not deploying ChatGPT Skills (yet?) < Elon Musk co-founding OpenAI, leaving, then spending years suing them and launching xAI out of spite < Samsung employees accidentally leaking source code by pasting it into ChatGPT What catastrophic AI event am I missing ???

Right now we’re in the “electricity in the 1880s” phase of AI.

Cute framing. But here’s the part Jensen won’t say out loud. NVIDIA didn’t accidentally build this “AI cake.” They engineered the dependencies. CUDA lock-in at the chip layer means a huge share of models trained today are quietly tied to their ecosystem. Yes, AMD and Intel are sprinting. Yes, Google, Amazon, and Meta are building custom silicon. But switching costs? Massive. And the five layers aren’t equal. NVIDIA already owns or influences several of them: • Chips • Infrastructure partnerships • And increasingly the model layer via NIM microservices Jensen calls it an “AI factory.” What he’s really describing is a vertically integrated AI stack. Blackwell isn’t just a chip. It’s closer to a long-term platform commitment disguised as hardware. The AI buildout is real. The transformation is real. But notice who built the toll roads while everyone else was busy building cars. —someone who’s been watching NVIDIA since the GeForce 256 days

This is the shift most people still underestimate. Old software = humans write rules, computers execute them. AI = computers generate answers in real time from messy reality. Which means intelligence is no longer “stored”… it’s produced. And once intelligence becomes an industrial product, everything upstream ;energy, chips, data centers ,becomes strategic infrastructure.

@MicrosoftEdge 13.

Just wondering, how many tabs do you have open right now?

What if AI replaced the need to work entirely? Society collapses or thrives,your purpose becomes optional. What would you do with infinite time?

Save this: Here is how to start with zero experience: Week 1: Learn prompt engineering on Claude or ChatGPT Week 2: Build one workflow that solves a real problem Week 3: Post what you built Week 4: Offer to do it for someone else for free Month 2: Charge for it The people winning with AI right now didn't start smart. They just started.

@Kekius_Sage Both. AI is supercharging innovation,but when unchecked, it quietly introduces new risks and fragility into systems we rely on.

Is AI improving society or quietly breaking it?

Dude, Amazon almost broke the internet… because they let AI touch their code. 😬 One time AWS went down after an AI suggested “delete everything and start over.” Another time a bad deploy took 6 hours to fix. Now, no AI changes without a senior dev’s OK.

Expectation: the age of the IDE is over Reality: we’re going to need a bigger IDE (imo). It just looks very different because humans now move upwards and program at a higher level - the basic unit of interest is not one file but one agent. It’s still programming.

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@ai_for_success Bro just talk to it like you're explaining your problem to a friend, not typing a Google search.

If you could give one piece of advice to people using AI for coding, what would it be?

@AravSrinivas The real bottleneck for the 1 person billion dollar company was never skill. It was sleep. You just solved sleep.

Dr. Roman Yampolskiy just predicted 99% unemployment by 2032. The leading AI safety researcher and cybersecurity expert laid out a timeline that's hard to ignore: AGI by 2027, and then five years later, the economy as we know it. Here's his logic: "If you have this concept of a drop-in employee, you have free labor, physical and cognitive, trillions of dollars of it. It makes no sense to hire humans for most jobs." The math is brutal when a $20 subscription does the same work as an employee. Yampolsky breaks it into two waves: Wave 1 — Cognitive labor (now → 2027) "Anything on a computer will be automated." Writing, coding, analysis, design, customer service. Gone. Wave 2 — Physical labor (2027 → 2032) "Humanoid robots are maybe 5 years behind." Once AGI arrives, the robots follow. Then there's nowhere left to hide. "We're looking at a world where we have levels of unemployment we've never seen before. Not talking about 10% unemployment, which is scary, but 99%." The only jobs that survive? "Jobs where for whatever reason you prefer another human would do it for you." Think about what that list actually looks like — it's devastatingly short. Most people are sleepwalking into this while the AI conversation stays stuck on productivity gains, not on what happens when hiring humans becomes economically irrational. Yampolsky is predicting total replacement of the human workforce as we know it. If 99% unemployment arrives by 2032, most people have less than 7 years to figure out what they're building their life around.

@aiedge_ Ignoring fundamentals.

The biggest mistakes you can make in the AI era: > overthinking > laziness > no agency > lack of speed > not building your network > avoiding curiosity & problems > being around AI doomers What did I miss?

What if AI could use Photoshop, Blender, or GIMP… without you touching a thing? 🤯 That’s what CLI-Anything does. It turns any software into a command-line tool so AI agents can control it directly. No GUI clicks, no messy menus—just commands. Works with real software, not simulations (Blender, GIMP, LibreOffice…) Commands give structured output AI can understand Supports 3D, audio, video, images, docs—everything a pro app can do Imagine telling an AI: “Edit this photo, make this 3D model, compile this document”… and it just does it. This isn’t sci-fi. It’s automation leveled up. #AI #Automation #AgentNative #CLI