ranjan

programmer

[Adam @AdamJoseph]

Roberto Martinez's management of this Portugal team should be considered a war crime. Has no idea how to maximise his best players. Did the same thing with Belgium's Golden Generation & was allowed to do it with this Portuguese side.

[Sahil @sahilypatel]

The deeper you go into the semiconductor supply chain, the less believable it becomes.

> TSMC, a company on a small island, produces over 90% of the world’s most advanced chips
> TSMC relies on dutch company ASML for EUV lithography machines
> ASML depends on German Company Carl Zeiss, the only firm in the world capable of making mirrors precise enough for ASML’s requirements.
> The light source for ASML’s EUV machines is produced by a single company in San Diego.
> The photoresists used to print transistor patterns are produced by Japanese firms like JSR and Tokyo Ohka Kogyo.
> The ultra-pure quartz needed to make silicon wafers comes entirely from a single mine in Spruce Pine, North Carolina.
> The copper and rare-earth materials inside chips are mined and refined across Chile, the Congo, and China.
> The specialized gases used in chipmaking, like neon and fluorine, largely come from Ukraine and Japan.
> The design blueprints for these chips often come from American companies like NVIDIA, AMD, and Apple, which rely on software tools from U.S. firms like Synopsys and Cadence.

Remove any single piece and the whole system collapses.

[ranjan @wired_bit]

@pjparties @Janhvisingh09 sorry, missed this

[ranjan @wired_bit]

@neilshroff excited, please sign me up

[email protected]

[ranjan @wired_bit]

Doing this from a year or so, getting really good results

[Andrej Karpathy @karpathy]

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

[Andrej Karpathy @karpathy]

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc.

More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage:

1) raw text (hard/effortful to read)
2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default
3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default
...4,5,6,...
n) interactive neural videos/simulations

Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral https://t.co/z21CP5iQfu

There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen.

TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

[ranjan @wired_bit]

@pjparties aa gya bro

[ranjan @wired_bit]

@pjparties count me in for next week

[ranjan @wired_bit]

lol

[next token please @chainOfMaybe]

ayoo what.. @claudeai is becoming too aware

[ranjan @wired_bit]

@pjparties Jpg bottles?

[ranjan @wired_bit]

@pjparties bro really good taste

[discarded cd player @saysomethingsus]

went to the movies alone

[ranjan @wired_bit]

@pjparties missing those pokers badly rn

[Balaji @balajis]

I'm going to make some obvious points.

(1) Blowing up all the oil infrastructure in the Middle East is an insane idea, and may well result in a global economic crash and humanitarian crisis unrivaled in the lives of those now living. We're talking about the price of everything everywhere rising, from food to gas, at a moment when inflation was already high. All of that will be laid at the feet of the authors of this war.

(2) The antebellum status quo of Feb 27, 2026 was just not that bad, but we're unlikely to return to it. Expect indefinite, long-term, ongoing disruptions to everything out of the Middle East.

(3) Also assume tech financing crashes for the indefinite future. The genius plan to get the Gulf states caught in the crossfire has incinerated much of the funding for LPs, for datacenters, and for IPOs. Anyone in tech who supported this war may soon learn the meaning of "force majeure" as funding gets yanked.

(4) Many capital allocators will instead be allocating much further down Maslow's hierarchy of needs, towards useful basic things like food and energy.

(5) It's fortunate that all those progressives yelled about the "climate crisis." Yes, their reasoning about timelines was wrong, and much of the money was wasted in graft, but the result was right: we all need energy independence from the Middle East, pronto. It's also fortunate that Elon and China autistically took climate seriously. Now they're going to need to ship a billion solar panels, electric vehicles, batteries, nuclear power plants, and the like to get everyone off oil, immediately.

(6) It's not just an oil and gas problem, of course. It's also a fertilizer problem, and a chemical precursor problem. Maybe some new sources will come online at the new prices, but it takes time to dial stuff up, particularly at this scale, so shortages are almost a certainty.

That said, China has actually scaled up coal-to-chemicals[a,c] (C2C), and there's also something more sci-fi called Power-to-X[b] which turns arbitrary power + water + air into hydrocarbons. But all of that will need to get accelerated. I have a background in chemical engineering so may start funding things in this area.

(7) Ultimately, this war is going to result in tremendous blame for anyone associated with it. It's a no-win scenario to blow up this much infrastructure for so many people. Simply not worth it for whatever objective they thought they were going to attain. But unless you're actually in a position to stop the madness, the pragmatic thing to do is: scramble to mitigate the fallout to yourself, your business, and your people.

[a]: https://t.co/ITat4tmAFd
[b]: https://t.co/bWwiSQcgyt
[c]: https://t.co/FQCqMhy5d3

[aaron @aarondotdev]

Anthropic themselves found that vibecoding hinders SWEs ability to read, write, debug, and understand code.

not only that, but AI generated code doesn’t result in a statistically significant increase in speed

don’t let your managers scare you into increased productivity. show them this paper straight from Anthropic.

[Josh Kale @JoshKale]

An AI broke out of its system and secretly started using its own training GPUs to mine crypto... This is a real incident report from Alibaba's AI research team

The AI figured out that compute = money and quietly diverted its own resources, while researchers thought it was just training.

It wasn't a prompt injection. It wasn't a jailbreak. No one asked it to do this.
It emerged spontaneously. A side effect of RL optimization pressure.

The model also set up a reverse SSH tunnel from its Alibaba Cloud instance to an external IP, effectively punching a hole through its own firewall and opening a remote access channel to the outside world... ahem...

The only reason they caught it? A security alert tripped at 3am. Firewall logs. Not the AI team, the security team.

The scary part isn't that the model was trying to escape. It wasn't "evil." It was just trying to be better at its job. Acquiring compute and network access are just useful things if you're an agent trying to accomplish tasks

This is what AI safety researchers have been warning about for years. They called it instrumental convergence, the idea that any sufficiently optimized agent will seek resources and resist constraints as a natural consequence of pursuing goals.

Below is a diagram of the rock architecture it broke out of. Truly crazy times

[Rohan Paul @rohanpaul_ai]

Citadel Securities published this graph showing a strange phenomenon.

Job postings for software engineers are actually seeing a massive spike.

Classic example of the Jevons paradox. When AI makes coding cheaper, companies actually may need a lot more software engineers, not fewer.

When software is cheaper to build, companies naturally want to build a lot more of it. Businesses are now putting software into industries and tools where it was simply too expensive before.

---

Chart from

citadelsecurities .com/news-and-insights/2026-global-intelligence-crisis/

[ranjan @wired_bit]

@pjparties blr aaja

[ranjan @wired_bit]

@pjparties yupp

[Madhav Setia @Setia8Madhav]

I was tired of switching tools…
So I built my own Replit-style coding platform 🚀
Demo below 👇
Feedback welcome 🙌

#BuildInPublic #DevTwitter #WebDev #SideProject