Vasu Adari @VasuAdari - Twitter Profile

2 days ago

i hooked my whoop to my work calendar to find which coworker gives me the most stress 🚨 thanks to fable, I reverse engineered whoop to pull per minute heart rate. nd matched spikes with cal events and attendees I now have a leaderboard and I think about it daily. few info masked for obvious reasons ;)

the2ndfloorguy's tweet photo. i hooked my whoop to my work calendar to find which coworker gives me the most stress 🚨

thanks to fable, I reverse engineered whoop to pull per minute heart rate. nd matched spikes with cal events and attendees

I now have a leaderboard and I think about it daily.

few info masked for obvious reasons ;)

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VasuAdari retweeted

How To AI

@HowToAI_

6 days ago

Google has published a paper that might end the transformer era. For the last 7 years, every major AI, ChatGPT, Claude, Gemini, has been built on the exact same architecture: The Transformer. But Transformers have a fatal flaw. To remember context, they have to process every single word against every other word. It’s called quadratic complexity. As your prompt gets longer, the compute cost explodes. The alternative is the old-school RNN (Recurrent Neural Network). RNNs are incredibly cheap and fast, but they have a fixed memory size. If you give them a long document, they get amnesia. Until today. Google researchers published Memory Caching: RNNs with Growing Memory. And it fixes the biggest bottleneck in AI. Instead of an RNN having a fixed, rigid memory that constantly overwrites itself, Google gave it a "save" button. The technique allows the RNN to cache checkpoints of its hidden states as it reads. The memory capacity of the RNN can now dynamically grow as the sequence gets longer. They built four different variants, including sparse selective mechanisms where the AI actively chooses exactly which checkpoints matter most. The results rewrite the rules of efficiency. On long-context understanding and recall-intensive tasks, these new Memory-Cached RNNs closed the gap with Transformers. They achieved competitive accuracy without the explosive, quadratic compute cost. It perfectly bridges the gap between the cheap efficiency of an RNN and the massive capability of a Transformer. We have spent billions scaling Transformers because we thought they were the only way an AI could remember a long conversation. But Google just proved we don't need to process the whole history every single time. We just needed a smarter cache.

HowToAI_'s tweet photo. Google has published a paper that might end the transformer era.

For the last 7 years, every major AI, ChatGPT, Claude, Gemini, has been built on the exact same architecture: The Transformer.

But Transformers have a fatal flaw.

To remember context, they have to process every single word against every other word. It’s called quadratic complexity. As your prompt gets longer, the compute cost explodes.

The alternative is the old-school RNN (Recurrent Neural Network). RNNs are incredibly cheap and fast, but they have a fixed memory size. If you give them a long document, they get amnesia.

Until today.

Google researchers published Memory Caching: RNNs with Growing Memory.

And it fixes the biggest bottleneck in AI.

Instead of an RNN having a fixed, rigid memory that constantly overwrites itself, Google gave it a "save" button.

The technique allows the RNN to cache checkpoints of its hidden states as it reads.

The memory capacity of the RNN can now dynamically grow as the sequence gets longer.

They built four different variants, including sparse selective mechanisms where the AI actively chooses exactly which checkpoints matter most.

The results rewrite the rules of efficiency.

On long-context understanding and recall-intensive tasks, these new Memory-Cached RNNs closed the gap with Transformers.

They achieved competitive accuracy without the explosive, quadratic compute cost. It perfectly bridges the gap between the cheap efficiency of an RNN and the massive capability of a Transformer.

We have spent billions scaling Transformers because we thought they were the only way an AI could remember a long conversation.

But Google just proved we don't need to process the whole history every single time.

We just needed a smarter cache.

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Vasu Adari @VasuAdari

6 days ago

Explore Dusit Mall when you’re in Bangkok #bangkok #thailand https://t.co/3if2gzqcmr

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VasuAdari retweeted

Ayaan 🐧

@twtayaan

7 days ago

The creator of Linux just publicly called out the AI hype. Word for word. Linus Torvalds took the stage at Open Source Summit 2026 and said this: "When I see people saying 99% of our code is written by AI, I literally get angry. Because those same people — I can pretty much guarantee — 100% of their code is written by compilers. But they never say that." He is not anti AI. The Linux kernel saw a 20% jump in submissions this release because of AI tools. He uses it. He gets it. His point is something most people are too afraid to say. AI is a productivity tool exactly like compilers were. Compilers boosted programming by 1000x. AI adds another 10x on top. Enormous. But nobody says "the compiler wrote my code." So why are we saying AI wrote it? He also flagged something nobody is talking about. AI is flooding small open source projects with drive-by bug reports. Someone runs a prompt, files a report and disappears when asked for a patch. Maintainers with one or two people are drowning trying to keep up. "Sometimes AI reports a bug and when you ask for more information the person has done that drive-by and does not even answer your question. That is the real burnout issue." And his final warning was the sharpest of all. "People who do not understand the complexity of systems will prompt systems and write processes that will fail." The AI hype crowd is very loud right now. Linus has been building real systems for 35 years. When he talks, engineers listen. Full interview here: https://t.co/LmXJtvKc4O

twtayaan's tweet photo. The creator of Linux just publicly called out the AI hype. Word for word.

Linus Torvalds took the stage at Open Source Summit 2026 and said this:

"When I see people saying 99% of our code is written by AI, I literally get angry. Because those same people — I can pretty much guarantee — 100% of their code is written by compilers. But they never say that."

He is not anti AI. The Linux kernel saw a 20% jump in submissions this release because of AI tools. He uses it. He gets it.

His point is something most people are too afraid to say.

AI is a productivity tool exactly like compilers were. Compilers boosted programming by 1000x. AI adds another 10x on top. Enormous. But nobody says "the compiler wrote my code." So why are we saying AI wrote it?

He also flagged something nobody is talking about.

AI is flooding small open source projects with drive-by bug reports. Someone runs a prompt, files a report and disappears when asked for a patch. Maintainers with one or two people are drowning trying to keep up.

"Sometimes AI reports a bug and when you ask for more information the person has done that drive-by and does not even answer your question. That is the real burnout issue."

And his final warning was the sharpest of all.

"People who do not understand the complexity of systems will prompt systems and write processes that will fail."

The AI hype crowd is very loud right now.

Linus has been building real systems for 35 years. When he talks, engineers listen.

Full interview here:
https://t.co/LmXJtvKc4O

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Who to follow

I'm founder, bootstrapped @SecureLayer7 and started two SaaS #cybersecurity products @sensfrx and Bugdazz. I also invest in cybersecurity start-up companies

VasuAdari retweeted

Backpacking Daku

@outofofficedaku

about 1 month ago

#Thailand has launched a 5 Year Visa for #Indians called Destination Thailand Visa (DTV) While the visa is there for all but currently marketed as exclusive for Indians😉 The visa makes sense for those who want to stay for long: - Digital Nomads/Remote Workers/Freelancers - Participants in activities such as Muay Thai courses Thai Cooking classes Sport training Medical treatment Seminars Music Festivals - Spouse and dependent children of DTV holders Note: While the official Embassy website states the fee as ₹25000, VFS states it as ₹30000 Embassy Link: https://t.co/E9d9nSM8HA Required documents in image below: #DakuVisaUpdates

outofofficedaku's tweet photo. #Thailand has launched a 5 Year Visa for #Indians called Destination Thailand Visa (DTV)

While the visa is there for all but currently marketed as exclusive for Indians😉

The visa makes sense for those who want to stay for long:
- Digital Nomads/Remote Workers/Freelancers
- Participants in activities such as Muay Thai courses Thai Cooking classes Sport training Medical treatment Seminars Music Festivals
- Spouse and dependent children of DTV holders

Note: While the official Embassy website states the fee as ₹25000, VFS states it as ₹30000

Embassy Link: https://t.co/E9d9nSM8HA

Required documents in image below:

#DakuVisaUpdates

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VasuAdari retweeted

Science girl

@sciencegirl

about 1 month ago

Before Friends aired in 1994, the cast took a trip to Las Vegas, where the producer warned it would be their last chance to vacation anonymously before fame hit.

sciencegirl's tweet photo. Before Friends aired in 1994, the cast took a trip to Las Vegas, where the producer warned it would be their last chance to vacation anonymously before fame hit. https://t.co/Vn6R3b3YKc

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VasuAdari retweeted

Science girl

@sciencegirl

about 2 months ago

Leonardo da Vinci invented the self supporting bridge between 1485-1487 This is how it works

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VasuAdari retweeted

Chris Laub

@ChrisLaubAI

about 2 months ago

A Rust dev just killed Headless Chrome. It's called Obscura. The open-source headless browser purpose-built for AI agents and scrapers at scale. Chrome vs Obscura: - Memory: 200MB+ → 30MB - Binary: 300MB+ → 70MB - Page load: 500ms → 85ms - Startup: 2s → Instant - Anti-detect: None → Built-in Single binary. No Node, no Chrome, no dependencies. Stealth mode is brutal: → Per-session fingerprint randomization (GPU, canvas, audio, battery) → 3,520 tracker domains blocked by default → navigator.webdriver masked to match real Chrome → Native function masking so detectors can't sniff it out Drop-in replacement for Puppeteer and Playwright over CDP. Zero code changes. If you run agents or serious scraping at scale, this repo prints money. 100% Opensource.

ChrisLaubAI's tweet photo. A Rust dev just killed Headless Chrome.

It's called Obscura. The open-source headless browser purpose-built for AI agents and scrapers at scale.

Chrome vs Obscura:

- Memory: 200MB+ → 30MB
- Binary: 300MB+ → 70MB
- Page load: 500ms → 85ms
- Startup: 2s → Instant
- Anti-detect: None → Built-in

Single binary. No Node, no Chrome, no dependencies.

Stealth mode is brutal:

→ Per-session fingerprint randomization (GPU, canvas, audio, battery)
→ 3,520 tracker domains blocked by default
→ navigator.webdriver masked to match real Chrome
→ Native function masking so detectors can't sniff it out

Drop-in replacement for Puppeteer and Playwright over CDP. Zero code changes.

If you run agents or serious scraping at scale, this repo prints money.

100% Opensource.

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VasuAdari retweeted

Zain Shah

@zan2434

about 2 months ago

Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)