For those into low level programming, start here -
https://t.co/RtdLu7AWhw
This is intended for those wanting to go beyond Arduino/ESP32 and understand the underlying hardware (SoC).
Alright. I want you to read this.
Earlier today, I released a new component.
What you see is the finished result.
What you don’t see are the days of planning, research, testing, designing, simplifying, throwing ideas away, and trying again before I felt it was ready.
Within hours, it had been copied and ported to another framework by pointing an agent at my code.
Of course, it’s open source. They were allowed to do it.
And I’ve been around long enough, with multiple successful products, that I don’t care.
But what if this was someone’s first product?
What if they spent months building it, launched on Friday, and by Monday it had been cloned by agents, repackaged, and made free?
What happens when your second product is copied?
Your fifth?
Your tenth?
What happens when every new idea immediately becomes the next prompt?
What happens when your roadmap, your changelog, and your launch announcements become someone else input prompts?
What happens when models become good enough to copy bigger ideas?
What happens when “just execute better” stops being the answer?
What happens when “just build bigger” or “think wider” stops being enough?
What happens when both ideas and execution become cheap?
What happens when the creator pays the full cost of creativity but everyone else pays nothing to reproduce it?
What happens to creativity when AI makes copying effectively free?
What happens to the will to create when AI makes copying effectively free?
Look, copying is not new.
Copying at this speed, cost, and scale is.
People will tell you to think bigger.
But nobody starts "bigger".
Every one of us here started by making something small.
You keep going because, somewhere along the way, the work is rewarded.
Maybe people use it.
Maybe they pay for it.
Maybe they simply recognize the thought, effort, and care that went into it.
Copying once demanded effort.
You had to study the work and understand it to copy it.
That effort created appreciation for the person who made it.
Not anymore.
Creativity begins with small steps.
If we make those first steps feel pointless, we don’t just lose small products.
We lose the people who might have gone on to build the big ones.
We are uniquely positioned here.
We get to use and experience this life-changing technology before almost everyone else.
How we use it will set the default everywhere else.
That default will spread to writing, design, music, research, and every other field where someone still has to take the first creative risk.
We can use AI to build great things.
Or we can use it to strip every new idea for parts.
We decide.
I made a website that plays bangers from indian barbershops
before you became fancy and started visiting salons. you once went to a 'saloon'. ₹20 haircuts. simple hairstyles with music that could fix your soul.
https://t.co/j3E8VfwiUU
how shaders work- using Excel
=LET(x,(COLUMN()-24)/15,y,(ROW()-15)/15,SIN(SQRT(x*x+y*y)*10-t))
Each cell (pixel) computes its colour just from its coordinates- so the GPU can massively parallelise them.
The trick is writing the formula to draw the picture you want
When India was waiting for its first gold, Mirabai Chanu answered with three records.
There was pressure. There were expectations.
But with a record-breaking total lift of 190 kg, she clinched India's first gold medal at the 2026 Commonwealth Games and became a three-time consecutive Commonwealth champion.
Every time the bar gets heavier, Mirabai somehow finds a way to rise even higher.
@mirabai_chanu
#MirabaiChanu #CommonwealthGames2026 #Glasgow2026 #TeamIndia #Weightlifting
[Mirabai Chanu, Commonwealth Games 2026, CWG 2026, First Gold Medal for India]
It’s out! 📚
First Steps With Linux is finally available in paperback.
And I have to admit…
Turns out I accidentally wrote a bible.
Holding the finished book in my hands for the first time was a surreal feeling.
If you’ve been waiting for a physical copy, it’s here:
https://t.co/SOu6yw6BGz
This brave lady has reprimanded a Muslim reporter at CJP Protest 🚨🫡
Reporter: Do you think this protest will end the politics of BJP's Sanatan Dharma propaganda?
She replied: "First of all, Mind Your language before saying anything about Sanatan Dharma, and second if BJP is doing the Politics of Sanatan then what other political party are doing?? they are doing the politics of Isl∆m ?? You want me to support those trash parties ??"
She later said : "And do you think that this protest will set the direction of the government where slogans of Azadi Azadi are being raised, Umar Khalid is being supported, will they do revolution?
This is how genz girls should be like, Brave, Courageous, And clear stand for Dharma.🙏
@_streetdogg Should have spoken though when Rahul Gandhi publicly denounced and dismissed the UPA cabinet's convicted lawmakers ordinance as "complete nonsense" - silence is a crime when there is a duty to speak or only his silence is dignified ?
I just published a new open-source project, Compose Navigation Graph!
⛵️ Compose Navigation Graph plugin for Android Studio that visualizes your entire app flow as an interactive map of rendered previews, typed arguments, and transitions.
https://t.co/KD0VwU5Naf
The industry has gone completely nuts.
Use tokens to generate AI code and documentation slop. Then use even more tokens to understand and review that slop.
Then judge engineers by token usage instead of how empathetic and clear their docs and code actually are, and completely neglect human comprehension.
Utter nonsense.
Just because anyone can build software now doesn't mean software is dead. Anyone can bake bread in their home right now, yet 99% of us still choose to buy it from someone else. Simple products are complex! I will always be happy to pay someone to handle the nuances.
The only things that I’ve found counteract this is putting the tool away and reading hard technical books and writing things on paper. I don’t think I ever felt like this when I searched Google or Stackoverflow for answers.
Something happens to my brain after agentic coding that I can’t describe. It’s like cognitive offloading which folks have already written about, but even more. It feels like I can’t think through problems anymore. Like a fog. Using agentic but losing my hard-won agency.
Two Bulgarian friends killed the entire streaming industry.
It's called Stremio + Torrentio. You get 4K content from Netflix, Disney+, Hulu, and HBO Max combined for free.
Here's how it works.
Stremio is the player. Clean interface. Works on Windows, macOS, Linux, Android, iOS, and TV. You install it once and it looks like any other streaming app.
Torrentio is the addon. You add it to Stremio in one click. It scrapes content from every major torrent provider on the internet simultaneously and delivers the best available stream directly to your player. 720p, 1080p, 4K. You pick the quality. It finds the link.
→ No account required
→ No subscription
→ Works on every device
→ 4K and HDR supported
→ Subtitles built in
Netflix cannot shut this down. There is no central server to seize. No company to pressure. No domain to kill. It runs on your device and pulls from the open internet.
The entire streaming industry is built on one assumption. That you will keep paying $70/month rather than spend 5 minutes on GitHub.
That assumption just died in Sofia, Bulgaria.
MIT License. 100% Opensource.
https://t.co/yEljDh5DQy
Get the addon here: https://t.co/XhpPDERP2i
System design is not important anymore - if you believe this, just wait until your 2-hour agent run fails at step 95 of 100 :) I hope it does not happen, but it actually might.
Agentic apps have two classes: short-running and long-running. When you are building short agents, a simple retry loop is enough. Each LLM call is isolated, cheap, and stateless. Fail, retry, done.
But retrying a long-running agent spanning hours is expensive in API costs, tool calls, and wall clock time, and retries can also have side effects like resending notifications. Some failures that a long-running agent might hit in production are:
- LLM provider rate limiting
- Network timeouts for downstream calls
- Pod eviction due to OOM kills mid-run
- Pod rotation during deployment
- Context window overflow
- Human-in-the-loop pauses for days
Notice how most of these are not AI problems. They are classic software engineering problems that are showing up in a new system.
This is where we need checkpointing, idempotency, durable event logs, and resumable workflows. These are backend engineering fundamentals where we built robust, fault-tolerant systems by applying hundreds of patterns.
Good software engineering practices do not go out of fashion. Because someday, you will ship your "tutorial" to production. That is when system design suddenly matters again.
Fundamentals remain fundamentals, even when the abstraction layer changes.
I find myself doing a lot better work, being more satisfied, and also learn a lot more+faster when I do *the hard work* and don’t outsource it to AI.
As in, I’ll use AI as a *tool* with substasks, additional research: but I don’t turn off my brain or kick back, assuming it can do the work for me.
Every time I “hand over the” hard work part to AI and mentally turn off, I either regret it or find myself eventually needing to go back and spend more time on it.
I also see slop work coming out from people who assume the AI does better work than they would.
I'm looking for 50 more software engineers to join my team at https://t.co/dSpoqHsWo9 for the next week. We work with frontier labs to help them train models.
100 - 200 USD /hr. Fully remote. Hiring in 150+ countries. RT's appreciated!
https://t.co/DGV9sKw6di
4 of the most confusing terms in AI, defined:
Model: a blob of parameters, written during training. Does next-token prediction and nothing else. Stateless.
Harness: everything around the model that turns it into an agent: tools, system prompt, context window management, etc.
Environment: the world the agent acts on. Anything outside the harness that the agent perceives and acts on via tools.
Agent: a model, harnessed, in an environment.
---
Opus is a model.
Claude Code and Claude Web are different agents, because their harnesses differ - even though the models are the same.
The file system is an environment. MCP servers add tools to the environment.