Jimmy Neuron 💡

@beamnxw Setting up prompts once doesn't make it a team member, just a more useful tool. Still needs you to verify every output worth anything. ngl

THIS GUY SHOWED HOW TO MAKE CLAUDE LIKE A REAL TEAM MEMBER Usually people type a question, get an answer, and copy it somewhere else. This video shows a completely different way of working Instead of guiding Claude through every small step, you set it up once with plugins, connectors, and slash commands. After that it can read your files, create plans, edit documents, and handle recurring tasks on its own without constant instructions from you Claude stops waiting for step-by-step guidance. It reads your files, creates a plan, edits documents, runs recurring tasks, and delivers finished results instead of just suggestions. It starts behaving more like a virtual colleague that can handle real work on your computer The setup shifts Claude from a smart chatbot into a system that can manage content creation, research, and daily workflows with much less hand-holding from you For the full breakdown on how to use Cowork effectively, including the best prompts and setup tips, check the article below This is one of the cleanest ways to start treating AI as actual support

AI IS NOW HALLUCINATING 94% OF EVERY PIXEL ON A 4K SCREEN AND THE IMAGE LOOKS PERFECT. Only 500,000 out of 8 million pixels are actually computed. Every one is ray traced. The model fabricates the rest. Most gamers still think their GPU draws every frame. It skipped that step. 00:11 Over 90% of the screen is a prediction — and it's flawless. > 8 million pixels total on 4K > only 500,000 are actually computed > each one is ray traced > AI predicts the other 7.5 million > the final image looks indistinguishable The real breakthrough was not more raw compute. It was teaching a model to guess pixels well enough that no one notices. Follow me so you don't miss out on trends in the world of AI.

@NFTMansa "AI loneliness" might be the most profitable problem that doesn't exist

AI doesn't have to be a lonely 1-on-1 experience. Bring your friends, your team, and your AI into one room. Solve AI loneliness today. 🤝 chat.groupgpt.tech

@iiiichigo_chan So basically a better version of what we've been promised for 5 years. aWke me when it actually works without needing a PhD

NVIDIA CEO JENSEN HUANG JUST DESCRIBED A PC OF THE FUTURE. “The PC evolved from a personal computer to a personal AI.” His example: > Text your PC from your phone. > Ask it to write code. > Let it open tools and edit files. > Come back when the work is done. The hardware behind it: • 1 petaflop of AI compute • 128GB of unified memory • Local models with hundreds of billions of parameters Satya Nadella: “Our goal is to deliver unmetered intelligence to every home and every desk with Windows.” And Jensen says it’s already happening: “GitHub commits increased by a factor of three.” The next AI race isn’t about building a better chatbot. It’s about building a computer that no longer needs you sitting in front of it. Watch the full 11-minute conversation ↓

@xwhynoted It is necessary not just to create it, but to do it correctly.

@Neuron_404 governments pay six figure analyst teams for this. he built it in a weekend with two models people already have access

HE JUST VIBE CODED A PALANTIR-GRADE INTELLIGENCE DASHBOARD AND OPEN SOURCED IT FOR FREE. He wired up a real-time global intelligence system running in the browser. It tracks military planes, conflict zones, nuclear facilities, and naval ships going dark. An AI burns through 100+ news sources, classifies threats in real time, and writes an intelligence brief for every country. 00:21 Each gets an instability score from 0 to 100. > live military planes and naval ships going dark > conflict zones and nuclear facilities > auto-alerts on regional threat spikes > instability score 0–100 per country Governments pay six-figure analyst teams to do this manually. He built it in a weekend with Claude 4.6 and Gemini 3.1. Follow me so you don't miss out on trends in the world of AI.

@CorbeilGre95044 He'll simply ban coffee at work.

@Neuron_404 hmm that rack sounds cool but also kinda wild for a data center… idk if i’d trust it with my coffee spills tehy might fry the gpu with one splash

NVIDIA'S GB300 NVL72 PACKS 72 BLACKWELL ULTRA GPUS INTO ONE LIQUID-COOLED RACK. Every node ships 2 Grace Blackwell Ultra superchips, 4x 279GB HBM3e, and 800Gb/s ConnectX-8. The whole rack is fused into one giant GPU via NVLink. Most data centers are still burning power on air-cooled boxes. 00:06 This one rack replaces a full server room. > 72 Blackwell Ultra GPUs per rack > 36 Grace CPUs > Liquid cooling across every node > NVLink fabric ties all 72 GPUs into one > Built for reasoning and long-context inference Every hyperscaler is now redesigning around racks like this. The real point is compute density — more tokens per watt, per square meter. Follow me so you don't miss out on trends in the world of AI.

@Di_Krass_ It's time to change your mindset or your job.

@Neuron_404 "Vibecoders" already pose a serious threat to coders who still do not use AI.

@VoltexGar That was useful. It's worth saving; otherwise, I'll forget it by tomorrow 😅

Advait Sarkar, Microsoft Research: "we invented a cure for exercise, then wonder why we're always short of breath. would you rather have a tool that thinks for you, or a tool that makes you think?" writer's block used to be the blank page. now it's the AI-filled page. you don't write anymore — you validate a robot's thoughts. at 01:09 he calls it "middle management for your own mind." 15 minutes on how the "age of outsourced reason" is killing creativity, memory, and critical thinking — and what an AI interface that makes you think should look like. Watch it now, and you'll know more than 99% of people. Follow me.

@Di_Krass_ Nowadays, a balance is needed. Frequent use of AI can indeed cause us to stop thinking and analyzing. That is why, now more than ever, we must remain vigilant—controlling AI rather than succumbing to its control.

@cipgerx Positioning it as "production infrastructure you don't need a crew for" instead of "look how real our AI is" changes everything. Brands pay for the thing that doesn't exist mo...

MOST PEOPLE WILL USE FABLE 5 TO MAKE MORE AI CONTENT THE SMART ONES WILL USE IT TO ERASE A $5K OUTDOOR SHOOT🛶 That gap is where the money is A woman cuts through whitewater in a solo canoe Looks like a clip But the expensive part is the shoot that never happened: no model no river booking no safety crew no waterproof camera setup no weather risk no retakes Same face Same swimsuit Same canoe Same paddle Same danger in the water That is not just consistency That is a sellable production system A rafting tour can turn this into ads A swimwear brand can test adventure angles An outdoor gear brand can sell motion without touching a river Most creators will sell “AI videos” The smarter offer is: “I’ll build the shoot your brand does not want to pay a crew for” The money is not in making AI look real The money is in making real shoots unnecessary I’m documenting these cases in public: the clip, the missing invoice, and the offer hiding between them Save this structure This is where small-brand AI money starts💸

HE JUST MAPPED 140+ AI USE CASES ACROSS 6 INDUSTRIES SO COMPANIES CAN SKIP THE SOLUTION ARCHITECT STEP. Normally the architect sits with function leaders and turns every SOP where agents fit into an AI agent roadmap. The real move is grilling the employees doing the work — not for the steps, but for why the work exists. 00:21 That preserves value when you automate. > map every SOP across functions > talk to the people doing the work > capture why each workflow exists > check what the current stack can automate Most companies burn months on this discovery phase. This one skips it entirely. The unlock is not the model. It is mapping the workflow before automating it. Follow me so you don't miss out on trends in the world of AI.

A builder found a 4.9-star Brooklyn burger spot with 334 reviews and no website — then built one with Google Maps and AI. He pulled the listing from Maps, scraped their Instagram, had ChatGPT draft the landing page, then fed an inspo site, product image, and prompt into Emergent. Most people cold-pitch web design. 00:15 He built the deliverable first. > find a high-rated business with no site > pull public info from Google and Instagram > ChatGPT structures the landing page > Seedance 2.0 turns product image into video > Emergent ships the site The breakthrough is not the tools. It is pitching with a site the owner already connects to. Follow me so you don't miss out on trends in the world of AI.

@Di_Krass_ Language shapes thought, but people have been regurgitating bad ideas way before chatGPT. The real issue is never questioning anything, AI just made it frictionless

Adam Aleksic, linguist (TED): "if you start talking more like ChatGPT, you probably start thinking more like ChatGPT. if you don't question yourself, their version of reality becomes your version of reality." at 04:43 he lays the loop bare: AI distorts reality → we repeat it → AI gets fed our distorted data → repeat. we're already inside it. 8 minutes on the word "delve," on hyperpop on Spotify, on Musk hand-tuning Grok, and on why machine language is leaking back out of your mouth. Watch it now, and you'll know more than 99% of people. Follow me.