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
https://t.co/3HxBat5DOM
#MadeWithPexo
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.
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.
Dear @BankofIndia_IN,
Two foreign inward remittances to my Bank of India, Satna Branch account remain unpaid:
• Google/YouTube: $130.75
• another payment: $255
It’s been over a month, and despite repeated follow-ups asking for updates, I still haven’t received the payments or a clear resolution.
Please investigate both remittances, clarify what’s causing the delay, and provide a concrete timeline for credit.
I request your urgent attention and a written response.
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.
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