Ashvini
82 posts


@GergelyOrosz Funny how AI was supposed to save money, and now teams need a monthly budget just to think faster.
English

🇮🇳First time in History, India dropped back, India has lost its spot as the 5th largest economy in the world.
🇬🇧UK overtakes India as the world’s Fifth-largest economy.
New Largest Economies in the world
1. 🇺🇸 US — ~$32.38 trillion
2. 🇨🇳 China — ~$20.85 trillion
3. 🇩🇪 Germany — ~$5.45 trillion
4. 🇯🇵 Japan — ~$4.38 trillion
5. 🇬🇧UK — ~$4.26 trillion
6. 🇮🇳 India — ~$4.15 trillion
7. 🇫🇷 France — ~$3.60 trillion
8. 🇮🇹 Italy — ~$2.74 trillion
9. 🇷🇺 Russia — ~$2.66 trillion
10. 🇧🇷 Brazil — ~$2.64 trillion


English

Open source is dead.
That’s not a statement we ever thought we’d make.
@calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up.
AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost.
In that world, transparency becomes exposure. Especially at scale.
After a lot of deliberation, we’ve made the decision to close the core @calcom codebase.
This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible.
We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple:
Protecting our customers and community at all costs.
This may not be the most popular call.
But we believe many companies will come to the same conclusion.
My full explanation below ↓
English

🚨GPT-5.4 Pro just made a contribution to the field of mathematics.
to those interested:
> gpt-5.4 Pro solved a 60 year-old mathematical problem in just 80 minutes. it then took another 30 minutes to convert the full solution to a clean LaTeX paper.
this was an open question posed in 1966 on the asymptotic behavior of large primitive sets, where no element divides another. no one had cracked it in sixty years because every approach since Erdős in 1935 had shifted to probabilistic methods.
GPT 5.4 stayed purely in analytic number theory, working directly with the von Mangoldt function to encode the unique factorization identity.
we’re now in the era where AI solves century old problems 🥶
Grok needs to step up his game. they have the raw power to solve the universe’s mysteries with colossus.


Leeham@Liam06972452
GPT-5.4 Pro solves Erdős Problem #1196! Very pleased with this result; definitely my favourite thus far! This problem has been thought about for some time which makes this reasonably impressive and meaningful (see Lichtman's comments below). Formalisation is underway!
English

@Polymarket We replaced humans with AI then hired humans to babysit the AI then the AI will replace those humans too. We are so back man
English

@Kekius_Sage The richest men alive still chase one thing no stock market sells.
English

@KobeissiLetter Bro went from touching grass to training models. The glow-up nobody asked for but everybody needed.
English

You can’t make this up:
Allbird stock, $BIRD, was down -99% from its record high as of yesterday as the shoe company was collapsing.
Today, Allbirds stock is up as much as +875% after entirely rebranding as an AI company.
This includes selling all of its brands and footwear assets and rebranding to “Newbird AI.”
And, the company will use a $50M convertible financing facility to “acquire high-performance GPU assets.”
Even shoe companies are moving into AI.

English

@CricCrazyJohns He didn’t assess the situation… he created one for the bowlers. 😂🔥
English

@CuriosityonX Low-key insane how our body just goes into repair mode and rebuilds a broken bone like nothing happened.
English

@Breaking911 People panic, but bees are actually vital for pollination and food production. Protect them!
English

Obviously, models are a big deal, but coding harnesses play a huge role in making these models look good.
I suspect that you can get the best frontier model out there, put it in a shitty harness, and the experience will be very disappointing.
The reverse is also true: put a mediocre model in a strong harness, and it might match the experience that you get from the best agentic coding tools out there.
So, yes, Opus 4.6 and GPT-5.3-Codex are amazing models, but the Claude Code and Codex harnesses do a lot of the lifting to make them work the way they are.
Of course, these models might also have some specific training on their harnesses. This is also an advantage.
English

















