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...
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
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.
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.
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.
A creator turned a single photo into 6 cinematic 3D videos with no shoot and no animation.
The setup lives in Weavy as a node-based workflow. ChatGPT acts as an AI production assistant, analyzing the photo and writing every camera movement. The moves run in parallel and pipe to Kling 2.5.
Most creators still book a shoot or animate frame by frame. 00:12 This runs in one click.
> Weavy — node-based workflow builder
> ChatGPT — analyzes photo, writes camera moves
> Camera moves — dollies, sweeps, arcs
> Kling 2.5 — final render
> 1 photo → 6 cinematic 3D shots
The real breakthrough isn't a better model. It's chaining tools into one repeatable workflow.
Follow me so you don't miss out on trends in the world of AI.d
A creator turned a single photo into 6 cinematic 3D videos with no shoot and no animation.
The setup lives in Weavy as a node-based workflow. ChatGPT acts as an AI production assistant, analyzing the photo and writing every camera movement. The moves run in parallel and pipe to Kling 2.5.
Most creators still book a shoot or animate frame by frame. 00:12 This runs in one click.
> Weavy — node-based workflow builder
> ChatGPT — analyzes photo, writes camera moves
> Camera moves — dollies, sweeps, arcs
> Kling 2.5 — final render
> 1 photo → 6 cinematic 3D shots
The real breakthrough isn't a better model. It's chaining tools into one repeatable workflow.
Follow me so you don't miss out on trends in the world of AI.d
THE FULL CLAUDE CODE INSTALL TAKES UNDER 60 SECONDS AND MOST BEGINNERS ARE STILL STUCK ON STEP ONE.
Everyone hypes Claude Code but skips the actual install entirely. The whole flow lives inside VS Code.
Grab Claude Pro for $20/month, pull down Visual Studio Code for free, then search Claude Code in the VS Code extensions tab. The real one has a checkmark and 6.5M+ installs.
> Claude Pro subscription — $20/month
> Visual Studio Code — free download
> Claude Code extension — 6.5M+ installs
> /login — verifies your account in a new window
> full setup — under 60 seconds
The barrier to running Claude Code was never the tool. It was the fact that nobody walks you through the first minute.
The beginners skipping this step keep watching everyone else ship products week after week.
Follow me so you don't miss out on trends in the world of AI.