Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
Everyone is obsessed with giving AI more context.
But humans don't think by searching a giant database every second.
We remember.
This paper makes a bold claim:
The future of AI isn't bigger context windows.
It's systems that can recall the right information at the right moment—without being asked.
Search is reactive.
Memory is proactive.
That's the difference.
@EngrammeHQ
Paper: https://t.co/b4BSk4dhXq
Everyone is obsessed with giving AI more context.
But humans don't think by searching a giant database every second.
We remember.
This paper makes a bold claim:
The future of AI isn't bigger context windows.
It's systems that can recall the right information at the right moment—without being asked.
Search is reactive.
Memory is proactive.
That's the difference.
@EngrammeHQ
Paper: https://t.co/b4BSk4dhXq
Transformers are stateless. The world needs a post-transformation era to solve the problem of memory. We are making searching and prompting obsolete with Large Memory Models. View our paper here: https://t.co/2MUkDKu3rT
We spend more time in PDFs than we'd ever admit. Be honest. How many hours last week? And it's never the easy stuff.
It's redacting a document line by line.
It's hunting for one answer buried in 80 pages.
It's reading the same paragraph four times because the contract won't just tell you what you need to know.
That's the part nobody puts on their calendar.
But it's the part that eats the day.
So here's why I'm excited.
I've been working with Foxit.
And their AI assistant does the thing I always wished my PDF tool could do.
You just ask.
In plain English.
"Redact every name in this file."
"What are the payment terms in this agreement?"
"Summarize section 7 for me."
No menus.
No hunting.
No reading it four times.
You ask, it answers.
The document finally works for you instead of the other way around.
That's not a small upgrade.
That's hours back in your week.
Your time is worth more than that.
Visit https://t.co/yXibRHN3rc and try it today.
Your future self (and your next deal) will thank you.
A STARTUP REPLACED A $14,000/MONTH AI BILL WITH 1,000 MAC MINIS.
No H100s.
No cloud rent.
No recurring AI tax.
They stacked 1,000 Mac Mini M4s in a data center and ran AI locally.
Why?
Because cloud bills never stop.
Hardware gets paid for once.
The biggest AI advantage in 2026 might not be better models.
It might be owning the computers that run them. 🔥
NVIDIA and Microsoft just changed the PC forever.
A desktop AI supercomputer is now sitting on your desk.
✅ Run powerful AI models locally
✅ No cloud
✅ No subscriptions
✅ No internet required
What once needed a $50,000 workstation can now fit in a personal computer.
Most people will ignore this.
In 2 years, they'll wonder how they missed the start of the AI PC era.
Apple spent 7 years and $3,500 building Apple Vision Pro.
One guy recreated the magic in his bedroom with:
• a webcam
• a laptop
• zero headset
• zero gloves
And it runs LIVE at 60 FPS.
No billion-dollar lab.
No 3,000 engineers.
Just skill.
The craziest part?
This feels more like the future than most “future” products.
OpenAI is leading a $40 million investment into Opal, an SF-based consumer hardware company that is working on an audio product to launch within the next year, according to Wired.
Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
AI agents can browse the web.
Write code.
Control desktops.
But they still couldn’t use the apps humans spend hours in every day.
TikTok.
Uber.
Gmail.
Discord.
Banking apps.
Until now.
Been testing @airtap_ai an AI that literally operates your phone like a human.
Tap.
Scroll.
Type.
Navigate.
And honestly… this feels like a huge shift.
I even watched it handle a Blinkit grocery-ordering workflow completely on its own.
Take a look: https://t.co/ntMg0cCCOl
This is wild 🧵
A Guy paying $3,200/month to run AI agents in the cloud.
Then he stacked 4 Mac Minis on his desk.
Cost:
• $2,396 one time
• $12/month electricity
Result:
• Cloud bill: $3,200 → $0
• Faster response times
• Private data stays local
• $38,000+ saved in year one
The craziest part?
Once AI runs on your desk, every experiment becomes free.
The cloud isn't always cheaper.