Muhammad Dawood

706 posts

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Muhammad Dawood

Muhammad Dawood

@daudtechdev

Building AI-powered solutions & real-world projects Sharing my journey of learning, building, and improving daily.

Katılım Eylül 2025
213 Takip Edilen95 Takipçiler
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
Want to actually understand how ChatGPT & Claude are built? Ditch 1 hour of Netflix for this 2-hour Stanford lecture. Most AI employees haven’t learned this much in their entire careers. Worth every minute.
Rony@Ronycoder

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.

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Muhammad Dawood
Muhammad Dawood@daudtechdev·
@sama Inference efficiency at this scale is the real moat, killing it, team!
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Sam Altman
Sam Altman@sama·
Really excellent work by the inference team to serve this model so efficiently! To a significant degree, we have to become an AI inference company now.
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
@polynoamial @OpenAI This is the kind of productivity jump that actually changes careers GPT-5.5 sounds like a true co-pilot upgrade!
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Noam Brown
Noam Brown@polynoamial·
I'm a manager at @OpenAI, but with GPT-5.5 I'm a more effective IC than I've ever been. I can now write CUDA kernels like a pro. I can rely on it to run my research experiments. And we know how to make it much more powerful from here.
Noam Brown tweet media
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
@tszzl This is the "AI co-pilot" we’ve been waiting for researchers sleeping while models grind. Game changer.
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roon
roon@tszzl·
there are early signs of 5.5 being a competent ai research partner. several researchers let 5.5 run variations of experiments overnight given only a high level algorithmic idea, wake up to find completed sweep dashboards and samples, never having touched code or a terminal at all
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Dan Shipper 📧
Dan Shipper 📧@danshipper·
many models write a great plan and then get scared of it. @OpenAI's new GPT-5.5 just does the thing. here's what changed 👇
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Nahama Alochi - First of his name
I’m building a library of “what I wish I knew before production taught me.” Follow to steal the lessons.
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Chandan H
Chandan H@_Chandan_17·
for real????
Chandan H tweet media
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
@Devinbuild Nah, Claude’s still my daily driver, curious how these agents stack up though.
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Maryam Nadeem
Maryam Nadeem@mrymonx·
Offroading is calming sometimes 😌 Doing this one for @KhaliqHussainnn’s startup! Wishing you the bestt champ!! Guess the app y’all
Maryam Nadeem tweet media
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Tim Jayas
Tim Jayas@TimJayas·
🚨 BREAKING: Never pay for clipping tools again! Someone built fully AI powered tool that just destroyed the $49/month clipping industry > Clip any YouTube or local videos > No watermarks, no limits, self-hosted > Can even plug in Claude or any AI model 100% free & open source.
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Bondig
Bondig@Bondigthefirst·
people keep asking how agently does all this. 150+ MCPs. Agently's AI brain. One workspace. here's under the hood ↓
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
We’re automating everything. But here’s the real question: What should we never automate? Because when you remove human thinking… you don’t just gain speed, you risk building systems that fail silently. Where do you draw the line?
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
@BarackObama Hope isn't blind optimism, it's the grit that turns America's toughest chapters into its greatest comebacks.
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Barack Obama
Barack Obama@BarackObama·
Hope isn’t blind optimism — it arises in the face of uncertainty. If you look at our history, we’ve gone through some rough patches. But we tend to come out on the other side of them stronger than before.
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
@dabit3 From chasing 1000 edge cases to declaring “zero crashes” and letting @DevinAI handle it, this is the real AI engineering shift.
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nader dabit
nader dabit@dabit3·
oh in slack as a whole engineering is transforming from imperative to declarative imperative = write code to change how a system works -- e.g. adding a try/catch statement in some specific git manager edge case -- and repeating this 1000 times for 1000 edge cases declarative = write rules about how a system should behave -- e.g. "there should be 0 crashes in git manager" -- and enforcing them automatically through monitoring + @DevinAI (cloud agents) h/t @stevenkplus1
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Syed Khaliq Hussain
Syed Khaliq Hussain@KhaliqHussainnn·
ChatGPT offering a free Pro plan… only in Saudi Arabia Go and claim it!!
Syed Khaliq Hussain tweet media
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SE Hozaifa
SE Hozaifa@SeHozaifa·
@daudtechdev Cooked with this one 💯 Ownership > paycheck. You rent time at a job, you own time with SaaS.
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SE Hozaifa
SE Hozaifa@SeHozaifa·
If you had to choose ONE: - Build a SaaS that makes $1k/month - Work a job that pays $5k/month No in-between. What are you picking?
SE Hozaifa tweet media
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Muhammad Dawood
Muhammad Dawood@daudtechdev·
The next trillion-dollar fortunes won’t be made by those who invent electricity… but by those who help the world’s shoe stores, truckers, and plumbers finally plug into it.
Dustin@r0ck3t23

Mark Cuban just described the largest wealth transfer of the AI era. Almost nobody understood what he said. Cuban: “There are 33 million companies in this country. Aren’t going to have AI budgets. Aren’t going to have AI experts.” Not tech startups. The shoe store. The regional trucking outfit. The accounting firm with 12 employees. The businesses that actually run the physical economy. They know AI is coming. They have no idea what to do with it. Cuban: “You’ve got the head of Microsoft saying software is dead because everything’s going to be customized to your unique utilization.” Software is dead. The SaaS era ran on one rule. Build a generic product. Force millions of companies to bend their workflows around it. Charge rent forever. AI ends the contract. The business stops bending to the software. The intelligence bends to the business. But customized by whom. The third-generation manufacturer cannot tell Claude from Gemini. The county hospital is staring at a reactor asking where the light switch is. Cuban: “Who’s going to do it for them?” That question is worth more than the frontier models themselves. Hundreds of billions are being burned to build the foundation. The smartest engineers alive are locked in a bloodbath over who owns the base layer. Let them fight. Let them burn the capital. Let them drive the cost of raw intelligence toward zero. Because the wealth does not collect where the brain is built. It collects where the brain meets the business. Every ambitious kid in college right now thinks survival means a seat at OpenAI or Anthropic. Cuban is staring at the other 99 percent of the economy. Learn the models. Then learn the messy, unglamorous reality of how a 50-person company actually operates. Walk through the door. Understand their problems. Wire the intelligence directly into their revenue. That is not a job title. That is an entire economic class being born. You do not need to build the brain. You need to build the nervous system. The biggest winners of the electricity era were not the engineers who built the generators. They were the ones who walked into dark factories and showed the owners where to plug in. 33 million companies are standing in the dark right now. Silicon Valley is racing to build the god. The fortunes will belong to whoever teaches him a trade.

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Muhammad Dawood
Muhammad Dawood@daudtechdev·
@jankaminski94 Great insight on prioritizing REM in the second half of the night, finally explains why early alarms kill my focus! Would love to connect.
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Jan Kamiński
Jan Kamiński@jankaminski94·
If you wear a smartwatch or ring, you see sleep stages every morning. But do you actually know what they mean? Our neuroscience team breaks it down in the latest edition of The Science Behind Wearables. She explains how your brain transitions into sleep, what deep sleep and REM each do for you, and why a clinical sleep lab and your wrist sensor tell very different stories. One thing that stood out to me is that my sleep isn't evenly distributed across the night. Deep sleep dominates the first half, handling physical recovery. REM takes over in the second half, processing emotions and memories. So an early alarm doesn't just cut your night short. It specifically cuts the part responsible for how you feel mentally the next day. She also explains how wearables estimate sleep stages from movement and heart rate instead of measuring brain activity directly. Once you understand that gap, you start reading your own data differently. BTW, Open Wearables launched the first open sourced sleep score too!
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