Jaspreet Bindra : Homo Promptus (@j_bindra) header
Jaspreet Bindra : Homo Promptus (@j_bindra) profile picture

Author, Educator, Speaker, Entrepreneur, Learn-it-aller, more at https://nitter.cf/t.co/tHKIHE1vsR and https://nitter.cf/t.co/YetnJP7Z7P

Bangalore , Cambridge, Dubai
Joined February 2009
Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)Photo by Jaspreet Bindra : Homo Promptus (@j_bindra)
AI can write a clean @LinkedIn post, generate a hummable song, produce a perfectly structured memo, and make a McKinsey-like slide, It is fluent, smooth, tireless, often near perfect; an almost 10 out of 10. The problem is that we may soon become sick of the 10 out of 10. You can spot this AI slop from a mile away: the smooth opening line, the neat three lessons, the inspirational paragraph, the carefully balanced humility, the “here is what it taught me” ending. It is grammatically correct and emotionally dead. In response, humans have begun hunting for posts that are messy, opinionated, oddly structured, perhaps even badly punctuated, but unmistakably written by someone who has lived that thought. The Japanese have wabi-sabi, the beauty of something that is impermanent, imperfect and incomplete, In India, we have the nazar battu, the small black spot on a baby's face. Perfect beauty feels dangerous, almost inhuman. Persian carpet makers were said to leave a flaw in their carpets because perfection belonged only to God. The flaw was not a failure, but a human signature. In the @EconomicTimes yesterday, I wrote about how the peculiar quest for human imperfection may become the defining truth of the AI age. @Utopiandevil @anujmagazine @ArchanaMuthappa @prernabindra @AIBeyondAI (Link to the original article; and the unabridged version below)
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DoorDash needs to be careful here that $17 billion acquisition can easily become $33.25 billion after the delivery fee, platform fee, taxes, and dasher tip
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Deepinder Goyal says his Rs 85000 wearable device Temple, allows users to share their brain-tracking data with doctors, who will be able to instantly diagnose a rich gullible idiot.
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EBITDA = Earnings Before I Trick Da Auditor
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO. Read more: anthropic.com/news/s1-sec Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
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Walk through any Indian bazaar and bargaining is almost theatre. The shopkeeper names a price with wounded dignity, the buyer laughs derisively, threatens to walk away, comes back, talks about another shop, and eventually both parties settle somewhere between offence and satisfaction. The transaction seems purely economic, but it is also social, psychological and very human. Now imagine if neither of the humans are there. Your AI agent has already discovered the product, compared alternatives, checked reviews and decided what you are willing to pay. The seller's AI knows inventory, margins, demand and how badly it needs the sale. The two agents bargain for milliseconds, settle on a price and complete the transaction. You receive a message: "Bought it. Saved you 12%." Would you trust that message? Tell me below! I unpack what happens when my AI starts bargaining with yours: dharmaofai.com/p/when-my-ai-…
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What connects Microsoft’s plan to cut up to 27% of its workforce across the US, India, Canada, and the UK and Anthropic’s mega IPO? Both point to a larger shift in the tech industry: money moving from people to computing power, Tech expert @j_bindra tells @govindethiraj on The Core Report. Microsoft’s voluntary layoffs are an attempt to "free up" that money for AI, and Anthropic’s numbers reflect this changing economics of technology, he says. "To stay relevant, companies like Microsoft, which have now become the incumbent big tech, also need to make this shift."
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This is quite something ! Serbian RTV channel starts yesterday's bulletin by apologizing to viewers👇 "For years, we failed to fulfill our duty. We kept silent, turned a blind eye, reported events one-sidedly and failed to ask necessary questions. We owe our viewers an apology”
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Mostly away, but this reminder of how precious our democracy is, from @lpolgreen, who cherished, befriended and reported solidly on India in the past: "It is easy to harbor romantic notions about Indian democracy. It is a project never before attempted in human history — for so many people with so much diversity to live together by common assent, under a written constitution that guarantees rights for all. For the past 12 years, India has engaged in a different experiment, one all too willing to brush aside the unfulfilled aspirations of the Constitution in the name of material progress and Hindu pride. But a new generation of Indians has risen up, insisting that the price of that trade is far too high. Armed only with witty slogans and astonishing bravery, these young people have revived their country’s glorious tradition of nonviolent dissent." nytimes.com/2026/10/26/opini…
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One of the best articles written on the protests Read it in @nytimes yesterday @lpolgreen captures it really well
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I love the sarcasm in this cartoon. As we increasingly use personal AI assistants, it's almost as if we are sitting inside a glass-walled room. We believe nobody outside can see us and we are having a private conversation, completely unaware that someone outside might be able to see what we are sharing. There is an interesting story behind this cartoon. On October 18, security researchers at Claroc published findings about the conversation-sharing feature in Meta's Muse AI assistant. blog.claroc.io/ghostshares-m… They discovered that more than 6,800 user-created conversation links were discoverable through public DNS records. Some of these conversations contained sensitive information, including business revenue reviews, loan applications and confidential meeting notes. Meta subsequently suspended the sharing feature while reviewing the issue. Something similar happened with OpenAI in July 2025, when thousands of shared ChatGPT conversations appeared in Google search results. Different products, different times, different mechanisms, but a similar mistake, similar lesson.
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The greatest letter of all time...
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No debt. Perfect weight. 8 hours of sleep. Mental health in check. Clean diet. Zero alcohol. That was my prime era. I was 10.
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"The powerful can kill one, two, or 100 roses, but they'll never stop the arrival of spring." India waits and prepares for spring...
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“The powerful can kill one, two, or even one hundred roses. But they will never stop the arrival of spring.” What a guy. What a guy. What a guy.
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i read this at least once a month.
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My story on the #SoniaRajivGandhi love story: I was in a small village (#Rantalodhi) deep in the core of the @mytadoba for my @Cambridge_Uni #PhD research. Connectivity here is a dream: Monsoon washes out the roads, cell service is non-existent, and patchy signals require a trek up a tall tree. We are chatting with the villagers when a senior, respected farmer turned to me & asked "Where are you doing your PhD?". "England," I replied. "But where?" he pressed. "#Cambridge," I said. "Aah," he nodded, knowingly. "Where Rajiv ji met Sonia!" I can only nod. Speechless. I’ve always held immense respect for rural wisdom when it comes to the soil, seasons, farming. But this was a gentle, striking lesson in how deeply informed villagers are, on matters consequential-and others. A reminder never assume, never underestimate -and worse, never patronise. #SoniaRajivGandhi #Cambridge #FieldworkDiaries #Tadoba #PhDlife @Krithika_1193 @SamirTadoba @jituramgaokar @nandkishorkale1 @kushagrapathak @PrajaktaDH @stjohnscam @CamUniGeography @bhask286
In a small Greek restaurant in Cambridge my journey of love began. Rajiv and I created a world filled with love, laughter and memories. On 10th November, I share that world with you.
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She wins 🏆 the internet for tonight!
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> Be Ali Khokhar > Mom finds a lump when you're 10 > Takes a year to diagnose her breast cancer > Watch her go through chemo, surgery and radiation > Lose her when you're 13 > Grow up, become a product leader at Google > Still can't stop thinking about her > Leave Google, co-found Concurrence > Hire a Stanford cancer surgeon as your Chief Medical Officer > Build AI agents that talk to patients between visits and catch what charts miss > Give every patient a digital twin so their doctor sees the full picture before making the call > Every outcome makes the hospital smarter for the next patient
🤝 Paid partnership
When I was 13, I lost my mom to breast cancer. I still wonder if it could have been prevented. When she found the lump, she did everything right. She went to her primary care doctor, and he told her it was nothing. My mom wasn’t convinced, so she went to a women’s health specialist for a second opinion and was told the same thing. A year passed before she saw a third doctor who was shocked that nothing had been done and ordered tests the same day. By the time she was diagnosed, the cancer had already spread. For the next three years, she went through chemo, surgery, and radiation. Specialist after specialist, asking the same questions again and again. After she passed away, there were two thoughts I couldn’t out of my head: (1) Somewhere, a doctor must have seen a case like my mom’s and caught it early. (2) Nothing that doctor learned had any way to reach her. Healthcare runs in my family. All four of my sisters are nurses or pharmacists, and my fiancée spent the pandemic working in a multi-organ transplant recovery ward. I’ve seen how hard clinicians work, and how much of that work requires understanding the patient and recognizing patterns from past cases. That’s why a doctor can practice for 30 years and get better every year, while a hospital can treat millions of patients without getting much better at treating the next one. What’s missing in healthcare is the infrastructure for it to learn from its own experience. If we don’t examine the cause and outcome of every interaction, how do we get better at knowing which signs to watch for? I spent years at Google and Upwork building AI from human expertise, then eventually left big tech to work on the one problem I couldn’t stop thinking about. I started a company called Concurrence (@concurrencehq) and raised $24M to build data and AI systems that enable healthcare orgs to learn from every patient they treat. Nothing learned is lost, and it reaches the next patient who needs it. We’ve already supported care for over 10 million patients worldwide. My mom deserved a doctor who had seen her case a thousand times. Every patient does.
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Girding myself up by donning my @Cambridge_Uni socks (presented to me by @prernabindra ) as I prepare to go for the @OxfordUnion style debate at @litlivefest The debate is on "Big Tech is a threat to democracy", and I am speaking for the motion !!! Debating against my friend, the formidable @matthan , and not relishing the prospect. Thankfully, @vandanawriter is there to support me. @govindethiraj , be kind :-) (Will post the video, when available) @anujmagazine @AIBeyondAI
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