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I wanted to see how far AI could take a real product video — not just generate random clips.
So I gave Pexo the product materials for Zen Slate, explained what I wanted, reviewed the direction, and refined it through conversation.
It turned that into a complete 28-sec product video with real UI, motion graphics, voiceover, subtitles and music.
What stood out to me: I didn't have to build the video piece by piece. I could just describe what needed to change and let the agent handle the production.
Made with @Pexoai_offical
pexo.ai
#MadeWithPexo
🤝 Paid partnership
Anthropic engineer:
“Anthropic hired me at $350K–$950K because I know how to build harnesses.
99% of people still hand-roll multi-agent systems and wonder why they break.
I build systems that run loops + sandbox tools + turn yesterday’s logs into new skills — same model, 10x more reliable agents that keep improving overnight.”
Opus 5.5 → Agents → Harness → Loops → Graphs
In a short workshop, he shows exactly how to build one from scratch.
step 1 → harness handles loops, context, and sandboxing
step 2 → brain and hands separated — 60% faster to first token
step 3 → runs server-side, resumes from the log after crashes
step 4 → failure is cheap — retry and replay instead of starting over
step 5 → yesterday’s logs become new memory — the system wakes up smarter
Anthropic calls this “dreaming”.
Most people spend weeks building this by hand.
You don’t have to.
Bookmark and watch it.
Kshitij Mishra | AI & Tech retweeted
Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now?
1. Programming will be the first to be eliminated.
AI is already writing code, debugging errors, and building applications. The shift toward automating entire software engineering workflows is already underway. Learning to code just to secure your job may no longer be enough.
2. Even if you only do 5% of the work, it still has value.
AI handles 95% of the work, and you handle the remaining 5%. Your productivity could increase dramatically. Knowing how to direct AI and make the right decisions is becoming more valuable than doing everything yourself.
3. The most promising careers are human-centered.
Careers that combine human interaction, real-world expertise, and analytical thinking could have an advantage. Healthcare, robotics, and other fields that require judgment and human understanding are worth watching.
4. Critical thinking may be the most important skill in the next decade.
AI can generate convincing answers, but convincing doesn't always mean correct. The ability to question information, verify facts, and make independent decisions will become increasingly valuable.
5. If you don't use AI well, it will make you dumber.
Relying on AI for every answer without understanding the reasoning can weaken your ability to solve problems independently. The goal isn't just to get work done faster. It's to use AI while continuing to build your own skills.
6. He's bullish on semiconductors as capitalism's victory in the next decade.
AI needs physical infrastructure to scale. Chips, computing power, energy, and advanced manufacturing could create major opportunities. The next wave of AI growth won't be limited to software.
Kshitij Mishra | AI & Tech retweeted
list of 15 best AI researchers on X:
@karpathy — Andrej Karpathy
@rasbt — Sebastian Raschka
@AndrewYNg — Andrew Ng
@drfeifei — Fei-Fei Li
@demishassabis — Demis Hassabis
@GaryMarcus — Gary Marcus
@DAIEvolutionHub — Latest AI tools
@maximelabonne — Maxime Labonne
@chipro — Chip Huyen
@ilyasut — Ilya Sutskever
@thsottiaux — Thibault "Tibo" Sottiaux
@bcherny — Boris Cherny
@geoffreyhinton — Geoffrey Hinton
@JeffDean — Jeff Dean
@fchollet — François Chollet
list of 15 best AI researchers on X:
@karpathy — Andrej Karpathy
@rasbt — Sebastian Raschka
@AndrewYNg — Andrew Ng
@drfeifei — Fei-Fei Li
@demishassabis — Demis Hassabis
@GaryMarcus — Gary Marcus
@DAIEvolutionHub — Latest AI tools
@maximelabonne — Maxime Labonne
@chipro — Chip Huyen
@ilyasut — Ilya Sutskever
@thsottiaux — Thibault "Tibo" Sottiaux
@bcherny — Boris Cherny
@geoffreyhinton — Geoffrey Hinton
@JeffDean — Jeff Dean
@fchollet — François Chollet
Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now?
1. Programming will be the first to be eliminated.
AI is already writing code, debugging errors, and building applications. The shift toward automating entire software engineering workflows is already underway. Learning to code just to secure your job may no longer be enough.
2. Even if you only do 5% of the work, it still has value.
AI handles 95% of the work, and you handle the remaining 5%. Your productivity could increase dramatically. Knowing how to direct AI and make the right decisions is becoming more valuable than doing everything yourself.
3. The most promising careers are human-centered.
Careers that combine human interaction, real-world expertise, and analytical thinking could have an advantage. Healthcare, robotics, and other fields that require judgment and human understanding are worth watching.
4. Critical thinking may be the most important skill in the next decade.
AI can generate convincing answers, but convincing doesn't always mean correct. The ability to question information, verify facts, and make independent decisions will become increasingly valuable.
5. If you don't use AI well, it will make you dumber.
Relying on AI for every answer without understanding the reasoning can weaken your ability to solve problems independently. The goal isn't just to get work done faster. It's to use AI while continuing to build your own skills.
6. He's bullish on semiconductors as capitalism's victory in the next decade.
AI needs physical infrastructure to scale. Chips, computing power, energy, and advanced manufacturing could create major opportunities. The next wave of AI growth won't be limited to software.
list of 15 best AI researchers on X:
1. @karpathy — Andrej Karpathy
2. @rasbt — Sebastian Raschka
3. @AndrewYNg — Andrew Ng
4. @drfeifei — Fei-Fei Li
5. @demishassabis — Demis Hassabis
6. @GaryMarcus — Gary Marcus
7. @DAIEvolutionHub — Kshitij Mishra
8. @maximelabonne — Maxime Labonne
9. @chipro — Chip Huyen
10. @ilyasut — Ilya Sutskever
11. @thsottiaux — Thibault "Tibo" Sottiaux
12. @bcherny — Boris Cherny
13. @geoffreyhinton — Geoffrey Hinton
14. @JeffDean — Jeff Dean,
15. @fchollet — François Chollet
INSTEAD OF WATCHING AN HOUR OF NETFLIX TONIGHT.
This 1-hour Stanford lecture by Joel Peterson will teach you more about negotiation and getting what you want than most people learn in years.
Bookmark it and give it an hour, no matter what.
Google Brain founder Andrew Ng:
"Prompting will be dead in 6 months
Agent harnesses built with loops and graphs will replace it"
Agent → Harness → Feedback → Loops → Graphs → Self-Improving Systems
In this 1-hour Stanford lecture, he explains what the best engineers are building instead and how you can start today
Prompt → Run → Verify → Improve
The first 20 minutes teach what most $1,500 courses try to sell you
For free
Bookmark and watch it today
The only AI list you need in 2026. Founders, researchers & builders.
FRONTIER LAB FOUNDERS
@sama — OpenAI CEO
@demishassabis — Google DeepMind CEO
@darioamodei — Anthropic CEO
CHINA'S OPEN-WEIGHT WAVE
@Kimi_Moonshot — Moonshot AI / Kimi (Yang Zhilin's lab)
@jetjang — Zhipu co-founder & chief scientist
@JustinLin610 — built the Qwen series at Alibaba
THE PIONEERS / GODFATHERS
@ylecun — Turing Award, pioneer of CNNs
@fchollet — creator of Keras
@karpathy — Anthropic, AI educator
@AndrewYNg — Coursera co-founder
RESEARCHERS WORTH READING
@ch402 — Chris Olah, interpretability (Anthropic co-founder)
@DAIEvolutionHub — Researcher, AI commentary
@leopoldasch — "Situational Awareness," ex-OpenAI Superalignment
@thsottiaux — leads OpenAI Codex
bang
I asked Claude to build an office for the @tavus PALs...
I was not expecting it to build THAT kind of office
AI agents don't just need better models. They need access to computers.
CoreSpeed TIE lets agents connect to your existing computer or a cloud machine, using your tools, files, terminal, and signed-in browser.
The next leap isn't just smarter AI. It's AI that can actually get work done.
🤝 Paid partnership
Introducing CoreSpeed TIE.
TIE lends your agents your computer: any agent, anywhere, can use your machine's shell, files, signed-in browser, screen and local MCP servers. Your logins stay put, and your agents finish tasks on every computer you tie.
corespeed.io/tie
I asked MiniMax Code to build an entire connected world from scratch. All I did was telling my idea.
I put it to a creative world-building challenge: a dense forest, a central lake with an abandoned house, a flower-filled French village, and winding paths connecting everything into one cohesive visual experience.
With its M3.1 Flash model, MiniMax Code really impressed me
What stood out during the build:
→ Turning a detailed creative concept into a tangible result with an AI agent.
→ Bringing multiple locations and visual elements together in one connected world.
→ Exploring how AI can move beyond conversations and actively work on a computer.
Performance matters, but so does cost.
It focuses on making powerful agentic workflows more cost-effective:
→ 70% lower overall cost for agentic tasks compared to its predecessor.
→ API pricing of $0.15 per million input tokens and $0.60 per million output tokens.
→ Token efficiency that helps make complex, repeated workflows more economical.
The goal isn’t just to build more with AI; it’s to get capable results efficiently and affordably.
Want to try it yourself?
M3.1 Flash open-source weights are out now.
Existing MiniMax Code subscribers get unlimited M3.1 Flash usage through October 25, while new subscribers or M Plan upgrades receive 50% off their first month through October 31, subject to applicable terms.
Explore MiniMax Code: agent.minimax.io/download
Elon Musk runs a 5-step first-principles algorithm for any problem:
first, question and fix dumb requirements;
second, delete any part or step you can (if you're not adding back 10%, you didn't cut enough);
third, simplify and optimize what remains.
Only then do you speed it up, and finally automate it.
The order is critical : "the most common mistake of smart engineers is to optimize a thing that should not exist," so never optimize, accelerate, or automate something before trying to delete it.
Watch this video fully to understand it more
Sam Altman (CEO of OpenAI):
"You no longer need to write prompts."
In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine.
It's a talk he gave to Stanford students. A friend sent me the recording last night.
After watching it, I realized I was only taking advantage of about 15% of what this tool can really do.
Watch it in full and then read the guide I leave below on how to create a system that prompts itself.
GOOGLE HAS RELEASED SOMETHING NO ONE EXPECTED.
An 8-minute tutorial on how to build your first AI agents.
best founders list to follow on X:
@levelsio → GOAT
@marclou → SaaS
@tibo_maker → Serial Entrepreneurship
@jackfriks → Micro apps
@athcanft → iOS apps
@wickedguro → Distribution Maxxing
@robj3d3 → AI coding
@llyism → SEO
@DAIEvolutionHub → AI and Tech
@gregisenberg → Startup Ideas
@dannypostma → AI Apps
@AlexFinn → AI
@romanbuildsaas → Viral Growth Loops
Got a video idea but keep putting it off? đź‘€
Dreamina lets you bring your ideas to life with Seedance!
Register through my creator partner link to access the $0.29 offer and start creating videos.
Try it here 👇
dreamina.capcut.com/pricing/…
#DreaminaOnly29Cents #Dreamina #DreaminaPartner #Seedance
🤝 Paid partnership
We've spent years asking AI to write code. Now, AI is helping build the models that write it.
Recursive just introduced Flint, its first model built with help from the Eureka Machine.
The system automates parts of AI research, from generating ideas to implementing and validating them.
Flint is open-weight under Apache 2.0, with coding capabilities designed for local hardware.
Less dependence on the cloud. More control for developers.
This is what makes the next phase of AI so interesting.
🤝 Paid partnership
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Kshitij Mishra | AI & Tech retweeted
Google just dropped a 1-hour course on agentic engineering from scratch:
00:00 – How to build your first AI agent
08:24 – Build agent memory (short, persistent, long)
28:34 – Agentic loops, long-running AI agents
40:04 – How to build MCP (MCP vs API)
1:00:22 – Multi-agentic systems
This 1-hour watch will replace 10 paid agentic courses on the internet.
Bookmark this. Watch this weekend.