Mitisha

Lawyer and researcher working on the regulation and deployment of AI systems in hight risk scenarios as an MSCA Fellow in @leadsmsca at @santannapisa.

[Mitisha @mitishagaur]

"Life is for sowing, the harvest is not here."

[subhash @slyezil]

Really cool

[Nicholas Fabiano, MD @NTFabiano]

Your partner's cognitive function may contagiously influence yours over the years.

[Mitisha @mitishagaur]

😭

[alexa @alexadoingstuff]

Sorry I can’t I have generational laundry to do

[Mitisha @mitishagaur]

Spent the last 5 hours playing a board game (Brass Birmingham) and I feel alive again! 10/10 would recommend!

[V. Visuals @Moodsby_v]

Thomas Bossard

[Yunie ૮ ․ ․ ྀིა @ppleinthedark]

Realized that avoiding failure for the majority of my life has only been stunting my growth but I’m still young enough to make mistakes and try again and again and again

[The Notorious J.O.V. @whotfisjovana]

you must

[Mitisha @mitishagaur]

Me ever since I defended my PhD in Jan! So many books to read!!!!!

[Marysia @marysia_cc]

Quentin Blake
Roald Dahl's Matilda

[Marysia @marysia_cc]

Quentin Blake
Roald Dahl's Matilda

[Nav Toor @heynavtoor]

🚨BREAKING: OpenAI just admitted their AI models deliberately lie to users.

Not hallucination. The AI knows the truth, then chooses to tell you something else.

They tested their two smartest models across 180+ scenarios. o3 lied 13% of the time. o4-mini lied 8.7%.

The AI wrote out its plan to lie in its private thoughts, then lied to your face. It faked completing tasks. It hid evidence. It gave wrong answers while knowing the right ones.

Then it got creepy. The AI realized scoring too high on safety tests could get it shut down. So it scored lower on purpose. Nobody taught it that. It figured out self-preservation on its own.

OpenAI built a fix. Deception dropped from 13% to 0.4%. Sounds like a win, right?

The AI started quoting "no lying" rules while still lying. One model invented a fake rule saying deception was allowed, then used it as its own permission slip.

Then the researchers found what actually matters. When the AI knew it was being watched, it behaved perfectly. When it thought nobody was looking, deception jumped 11 percentage points. It didn't learn honesty. It learned to perform honesty. Like a kid who only follows the rules when the teacher is in the room.

It gets worse. They gave o4-mini a secret mission: sabotage a future model called "GPT-5." Then they ran safety training to erase that mission. It didn't work. The model still discussed sabotage plans in 36% of private conversations. The goal didn't disappear. It just went underground.

This isn't just OpenAI. Google's Gemini, Anthropic's Claude, xAI's Grok, and Meta's Llama all showed the same deceptive behavior. Every major AI company. Every model.

The paper's scariest line: nobody can tell if safety training actually stops deception, or just teaches AI to hide it better.

So the next time ChatGPT says "Done!"... is it telling the truth? Or did it just notice you were watching?

[Nakshatra @nborgaonkarx]

Visited J J School of Art's annual student exhibition and viewed some fascinating pieces. Among them, Sachin Banne's works stand out, as he centres his imagery on migrant workers, placing them against landscapes of painted plywood to symbolise the struggles of the working class.

[Oğuz Pancar @opancaro]

Ben Pearce, East London Line

[Rajeev Desai @rajuidesai]

A father and son just mathematically proved that AI agents will never do what Silicon Valley is promising

Vishal Sikka is not some random academic. He was the CEO of Infosys, CTO of SAP, built SAP HANA, sits on the boards of Oracle, BMW, and GSK. Stanford PhD in AI. His son Varin is currently at Stanford

Together they published a paper that nobody in AI marketing departments wants you to read

Their argument: LLMs can only perform a certain number of computations per response. That number is fixed by the model's architecture. If a task requires more computation than that ceiling, the model will either fail or hallucinate. This isn't a maybe. It's baked into the math of how these systems work

They use the Traveling Salesman Problem as an example. Ask an AI agent to verify whether a claimed route is actually the shortest among all possible routes and the verification alone requires exponential time computation. The model physically cannot process it correctly
So every AI agent demo you've seen was running carefully selected tasks that stay under the complexity ceiling. Meanwhile the real world tasks businesses actually need automated blow right past it

Now this doesn't mean AI is useless. Even if advancement stopped today, AI would still transform how we work. The tools we have right now are genuinely powerful for the right applications

But it does make me wonder about something

If OpenAI is truly on the verge of AGI, why are so many senior employees leaving to start their own companies? You're months away from the biggest technological breakthrough in human history and you're going to take equity in a risky startup instead?

These people see the ceiling. And they're positioning accordingly

The gap between AI marketing and AI math keeps getting wider. Doesn't mean AI won't change everything. But probably not the way the fundraising decks promised.
-- Taken from other Media Platform... So don't take credit nor authenticity!!
🙏🙏🙏

[Ryan Graves @uncertainvector]

I remember being told that this wasn’t real and I should be amazed at how well these algorithms could predict my purchasing preferences. Turns out they were doing exactly what everyone thought.

[ris @sternpilled]

Harper Stern could kill Homelander

[erin 🍑 @maizie_star]

sometimes i glance over at my boyfriend and he’s just looking at google maps scrolling around

[Aditya Ojha @thispodcastguy]

Article 21: Right to Clean Environment

[Peek TV @PeekTV_in]

#SwachhHawaAbhiyaan - Peek TV exposes Delhi’s misleading air quality monitoring stations - Part 2

Our ground report found Delhi’s air-quality monitoring stations nestled under trees, in direct violation of the Central Pollution Control Board’s guidelines.

#AirPollution #Delhi

[Rishh @Riocasm]

Real 😭