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Sohail
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@DiscussingFilm Sad to say... its too colorless to be stunning. All that scale kinda washes all frames into each other😩
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So happy for Sheeba Chaddha..
Terribly utilized but she came to play.
Riz..is f#cking fantastic. @rizwanahmed
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Im Dhurandar fashion...
WE ARE NOT READY FOR THIS!
India Plus@india_plus_
🚨 Nita Ambani says India is close to hosting Olympics and pushing strongly to bring the 2036 Games to the country follow @india_plus_
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@jimmyfallon @Sky_SNL There were flying too high... had to ground them..init?
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Thanks gang 🙏 appreciate you coming out
BillsMafiATL@BillsMafiATL
View from the box for @TheoVon Netflix special. Killed it.
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Also reviewed Raja Shivaji yesterday:
hollywoodreporterindia.com/reviews/theatr…
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Despise Dawkins.. but this looks like a substantive interrogation.
sudo Heraclitus@cyberpyre
Richard Dawkins has officially been one-shot
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@jauntalha It was very shocking to see this..
And worse.. the negotiations start onto convincing them to cut into their margins.
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@RahulSanghi1 @dognosis Wow! Love to see it.
(Any investment opportunities?)
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For the last three years, a startup in Bangalore has been obsessed with a pursuit that typically invites raised eyebrows, naked skepticism, and accusations of stealing from sci-fi:
@dognosis is training dogs to detect cancer.
And until you've spent time at their facility - a former pomegranate farm in the outskirts of Bangalore - perhaps skepticism is the rational response.
But Dognosis isn't betting on some pie-in-the-sky idea or some charming novelty act, they're betting on evolution.
@akadogluk and @Itamar_Bitan based their company on the fact that the dog's nose - a product of fifteen millennia of co-evolution with humans - can detect the faint chemical trace of cancer in your breath at a resolution that our machines, algorithms, and laboratory tests have never come close to matching.
We've known this fact for decades. We've consistently failed to do anything meaningful with that knowledge.
The missing link has been figuring out what the dog's nose knows, and applying it in a standardised, scalable, and clinically validated way.
Dognosis is building this missing piece of the equation i.e. the translation layer that allows the dog's nose to speak a language medicine can understand, enabling us to harness an ancient biological intelligence and plug it into our modern medical infrastructure.
Maybe you've read the paragraphs above and retained your skepticism. That's fair. But this past Friday, the Journal of Clinical Oncology - the world's most influential cancer journal - opted to make life much harder for the skeptics.
On Friday, the JCO published Dognosis' landmark study on breath-based multi-cancer detection - the largest of its kind ever conducted - showing that a team of trained dogs, equipped with sensors and AI, could detect multiple cancers from breath alone at 90%+ accuracy - including at Stage I, when it matters most - for $2 a test.
According to Akash, it proved "that everything we’ve known about the dogs is true".
Needless to say, it's a genuine milestone for Indian healthcare, health-tech, deep-tech, and, uh, dog-tech, that deserves far more attention than it's gotten so far.
To help change that, we were lucky to have Akash stop by the Tigerfeathers editorial desk this past week to unpack the Dognosis journey - helping us understand what they're building, how they're doing it, why it matters, and what comes next.
From where we're sitting, Dognosis is an n-of-1 Indian startup with an n-of-1 story that everyone in the Indian tech ecosystem should be aware of. If you've been intrigued by what you've read so far and you're keen to go deeper, dive into our piece here👇
tigerfeathers.in/p/dognosis-unl…
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@DavidSacks Shut up man... you have disabused any notion of integrity people had from you, because of your 'strategic' silence on the mindless war.
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It’s time to demystify Mythos.
Mythos is not magic. It’s not a doomsday device. It’s the first of many models that can automate cyber tasks (just like coding).
OpenAI’s GPT-5.5-cyber can now do the same. And all the frontier models (including those from China) will be there within approximately 6 months.
It’s important to recognize that these models do not create vulnerabilities; they discover them. The bugs are already in the code. Using AI to discover and patch them will actually harden these systems.
The leap from pre-AI cyber to post-AI cyber means that there will be a big upgrade cycle. After that, however, the market is likely to reach a new equilibrium between AI-powered cyber-offense and AI-powered cyber-defense.
Obviously it’s important that cyber defenders get access before cyber attackers. That process is already underway but needs to happen quickly (see point above about Chinese models).
Unlike Mythos, GPT-5.5-cyber appears not to be token constrained so it may be the first cyber model that defenders actually get to use.
AI Security Institute@AISecurityInst
OpenAI’s GPT-5.5 is the second model to complete one of our multi-step cyber-attack simulations end-to-end 🧵
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