december

most tweets are note to self

[Aayushiii @stfu_aayushiii]

who made this bro 😭😭
https://t.co/aSzSMQw8yt

[Hansi’s Barça 🇩🇪 (fan) @Flickxball]

ngl this is prolly my best work yet

[Narendra Modi @narendramodi]

An unforgettable conversation with Captain Smit, filled with pride and emotions.

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[Al-Ittihad Club @ittihad_en]

Cheating and still losing! 🔥🤷🏻‍♂️
#Alittihad_Alnassr

[Ashwini Vaishnaw @AshwiniVaishnaw]

The chip journey, simplified.

[Tarun Gautam @TARUNspeakss]

As an Indian, I wish this was not true but unfortunately, it is.

We are cooked bro!!

[Hemant Mohapatra @MohapatraHemant]

The curse of discipline is that every day looks the same. The curse of indiscipline is that every year does.

[Gabbar @GabbbarSingh]

Meta’s funda is simple, Give a random Indian 50k views on a reel. He will spend the rest of his life, trying to recreate the same, slowly deprioritising his education, career, family etc. Trying to become an influencer. And see revenues someday.

[Ryanair @Ryanair]

more statements than trophies this season

[Thor Odinson (parody) @thorodinson07]

This isn’t just food adulteration - this is an organized public health disaster.

A raid in Surat’s Pandesara area led to the seizure of around 1400 kg of suspected paneer. Laboratory tests confirmed the presence of vegetable oil mixed with industrial acids - substances that have no place in food.

This wasn’t a one-off operation. For the past 2 years, nearly 400 kg of paneer was being produced daily and supplied to dairies, hotels, restaurants, and caterers.

What makes it worse?
The operator held an FSSAI license registered in Vasai, but was running this illegal manufacturing unit in Surat.

Think about it - what people believed was paneer was actually a toxic mix.

And what is the system focused on?
Filing FIRs against those who are exposing such issues.

As long as adulterators operate freely and whistleblowers are targeted, this poison will keep circulating in the market.

This is not negligence - this is a direct threat to public health.

We need accountability. We need action.

Link of the article- https://t.co/Uh3C1G2THr

#SaveFreeSpeech

[Shipper @shipper_now]

Today, we've ended vibe coding as a whole.

I just watched my Mac build a complete business in 183 seconds.

This is just absurd.

[The Hawk Eye @thehawkeyex]

13 July 2011 : Mumbai bombings.

25 July 2011👇🏼

[december @raulchinmay]

35M views in 12 hours😅

[Claude @claudeai]

You can now enable Claude to use your computer to complete tasks.

It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk.

Research preview in Claude Cowork and Claude Code, macOS only.

[Hindustan Times @htTweets]

FLASH: Rahul Gandhi spoke to US envoy about Hindu terror group, said Hindu terror is bigger threat in India than LeT - WikiLeaks #ht

[Andrew Curran @AndrewCurran_]

Striking image from the new Anthropic labor market impact report.

[Nav Toor @heynavtoor]

https://t.co/4dVxOmAubl

[Corey Ganim @coreyganim]

https://t.co/5PXVu4D7bL

[Aakash Gupta @aakashgupta]

The math on this project should mass-humble every AI lab on the planet.

1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.

The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.

Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.

And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”

This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.

We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.

The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.