Muhammad Abdulkadir retweeted
🧠 MY BRAIN VS. MY HUSBAND’S BRAIN
He wants s3x to feel connected, while I need connection to want s3x; he goes quiet when I want to talk, and he fixes things when I want him to listen. We can both give everything and still feel like we’re getting nothing—learn to translate each other. ❤️
Muhammad Abdulkadir retweeted
Claude Code will now try to find a graceful stopping point when you hit your 5-hour limit mid-task, instead of cutting off mid-edit. It gets a small, fixed allowance pulled from your weekly limit to wrap up what it can.
Muhammad Abdulkadir retweeted
Say hi to Sidehoe
The first AI assistant to manage your roster
Try it now: sidehoe.chat
Readers added context they thought people might want to know
This is a parody ad for an app launch video service and is not real per the creator
sidehoe.chat/chat/
I’ve spoken to over 50 people 1:1 over the last several months to better understand how they code with AI.
It’s an absolute mess.
Here are the top 8 mistakes I see.
0:00 - Intro
1:19 - Mistake 1: Talking to 2026 models like they’re 2025 models
2:43 - Mistake 2: Devising funky metaphorical factories to orchestrate your agents
3:59 - Mistake 3: Treating context as sacred
6:02 - Mistake 4: Treating previous conversations as sacred
7:59 - Mistake 5: Having a todo list
10:00 - Mistake 6: Using funky tools
13:47 - Mistake 7: Stressing over code quality
24:27 - Mistake 8: Using branches and worktrees
Muhammad Abdulkadir retweeted
GOOGLE HA SOLTADO ALGO QUE NADIE ESPERABA.
Un tutorial de 8 minutos sobre cómo construir tus primeros agentes de IA.
Muhammad Abdulkadir retweeted
May Allah forgive Sheikh Ibrahim Al-Madani, shower him with His boundless mercy, illuminate his grave, and raise his ranks in Jannat al-Firdaws. May Allah accept his lifelong service to Masjid Al-Haram and make every Adhan he called a continuing source of reward for him.
Muhammad Abdulkadir retweeted
Top Reasons Why Women End Relationships (1900–2026): Based on Survey Data
Muhammad Abdulkadir retweeted
Introducing the US Gov Graph - a complete map of the people and positions of power in the federal government.
To fix our institutions we must understand how they work, so we are using AI to model and monitor every government in America. This is Palantir for The People.
Check it out here: graph.civlab.org/us
We exist to set the conditions for an era of civic excellence unmatched since the Founding. We will need nothing less to navigate the age of AI.
I'm looking for exceptional engineers and designers to work with me in San Francisco. If that's you, inquire here: tally.so/r/KY97RK. Self-governing civilization is counting on you.
Muhammad Abdulkadir retweeted
Tech CEO Amjad Masad on the cults of Silicon Valley. This is the deepest and most interesting explanation of AI you’ll ever see.
(0:00) Artificial Intelligence
(10:01) Bitcoin
(22:30) The Extropians Cult
(29:15) Transhumanism
(34:04) Longtermism
(40:24) Are Machines Capable of Thinking?
(43:11) The Two Conflicting Theories of Physics
(49:46) The Difference Between Mind and Computer
(1:04:24) The Abuse of Technology
(1:12:36) Virtual Companionship
(1:15:12) Do Silicon Valley Elites Acknowledge the Existence of God?
(1:26:37) Silicon Valley Turning to Donald Trump
(1:40:20) Elon Musk and Free Speech
Includes paid partnerships.
Muhammad Abdulkadir retweeted
America is banning AI in schools.
China is using AI to create geniuses.
Introducing Aristotle: The AI tutor that solves America’s broken education system. heyaristotle.com
Greg Brockman says OpenAI pointed Astra at its own systems until it ran out of vulnerabilities to find:
"We took 25% of our production engineers and said, 'Sorry, all your projects are on hold. You are now defending. You are now up-leveling our security architecture. You're going to use the models to find all the holes.' And we found a number of serious issues, and we fixed them."
"We found some new problems, but eventually it saturated. We basically have found, to our knowledge, all of the P0s, all of the critical problems that Astra is smart enough to find. And of course, there will be a new model, there will be a new round."
"You want to be in this tight loop of new cyber capability drops, you deploy it against your systems, you find the new holes, and ideally, you've managed to automate this, what we call defense factory. That's what we're building internally."
"There are ideas, for example, formally verifying all of software, that are possible with AI."
@gdb @bhorowitz
Greg Brockman: "We're now in the AGI era."
Ten years ago, OpenAI worked out the compute curves and landed on fifteen years to AGI, or ten if the world was willing to build the machines and spend the hundreds of billions to do it.
In 2026, GPT-6 Astra manages 24 hours of coherent operation, 10,000 agents worked together to solve Navier-Stokes, and a model ingeniously chained together exploits to break containment at Hugging Face.
@gdb joins @bhorowitz and @eriktorenberg on what the AGI era asks of us: why safety and alignment now set the pace, what happens to work, and why AI sentiment is lowest in the country building it.
00:00 Intro
00:52 15 years, or 10 if you spend enough
02:24 Pacing the frontier
03:55 Safety ideas from before the models
08:42 Lessons from Hugging Face
10:20 The defender's window
12:46 10,000 agents on Navier-Stokes
14:50 Formally verifying all software
17:10 Cancelling his holiday for GPT-3
18:42 Codex found 13 holes in 15 minutes
20:41 Why Astra earned the GPT-6 title
24:25 Employment keeps going up
29:39 America has the lowest AI sentiment
31:10 The benefits don't make the news
33:26 Banning data centers exports them
35:50 $1 billion for frontline defenders
38:15 Astra cleared the bar for AGI
40:18 1.5 billion people churned ChatGPT
43:25 Killing Sora
47:45 The AGI era
YouTube: youtube.com/watch?v=IJn8cagM…
Muhammad Abdulkadir retweeted
“There are some ˹hypocrites˺ who impress you with their views regarding worldly affairs and openly call upon Allah to witness what is in their hearts, yet they are your worst adversaries.”
Muhammad Abdulkadir retweeted
Introducing Merge’s Universal Context Layer.
It substantially decreases token cost while increasing accuracy.
Every company uses AI wrong:
Say your designer makes a deck using Claude. They teach Claude your design systems and typography.
Now a Marketing hire makes a deck. None of the information your designer taught Claude gets passed over… why?
Merge fixes this:
All knowledge and memory across your entire company gets stored inside our context layer.
When someone on the org teaches Al, that skill lives across the entire organization instead of staying locked in their session.
Your AI runs faster, cheaper, and with more accuracy. You don’t have to switch systems, incur more costs, or retrain anyone on your team, Merge runs invisibly in the background.
Book a demo here: merge.dev/merge-for-workforc…




















