kunalmishra

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kunalmishra

kunalmishra

@kunalmishra

product@Amazon, AI enthusiast

San Francisco, CA Katılım Eylül 2008
776 Takip Edilen110 Takipçiler
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Brivael Le Pogam
Brivael Le Pogam@brivael·
Je veux présenter mes excuses, au nom des Français, pour avoir enfanté la French Theory (qui a enfanté la pire des merdes idéologiques : le wokisme). Nous avons donné au monde Descartes, Pascal, Tocqueville. Et puis, dans les ruines intellectuelles de l'après-68, nous avons donné Foucault, Derrida, Deleuze. Trois hommes brillants qui ont fabriqué, dans l'élégance de notre langue, l'arme idéologique qui paralyse aujourd'hui l'Occident. Il faut comprendre ce qu'ils ont fait. Foucault a enseigné que la vérité n'existe pas, qu'il n'y a que des rapports de pouvoir déguisés en savoir. Que la science, la raison, la justice, l'institution médicale, l'école, la prison, la sexualité, tout n'est qu'une mise en scène de la domination. Derrida a enseigné que les textes n'ont pas de sens stable, que tout signifiant glisse, que toute lecture est une trahison, que l'auteur est mort et que le lecteur règne. Deleuze a enseigné qu'il fallait préférer le rhizome à l'arbre, le nomade au sédentaire, le désir à la loi, le devenir à l'être, la différence à l'identité. Pris isolément, ce sont des thèses discutables. Combinées, exportées, vulgarisées, elles forment un système. Et ce système est un poison. Car voici ce qui s'est passé. Ces textes, illisibles en France, ont traversé l'Atlantique. Les départements de Yale, de Berkeley, de Columbia les ont absorbés dans les années 80. Ils y ont trouvé un terreau qui n'existait pas chez nous : le puritanisme américain, sa culpabilité raciale, son obsession identitaire. La French Theory s'est mariée à ce substrat, et l'enfant de ce mariage s'appelle le wokisme. Judith Butler lit Foucault et invente le genre performatif. Edward Said lit Foucault et invente le post-colonialisme académique. Kimberlé Crenshaw hérite du cadre et invente l'intersectionnalité. À chaque étape, la matrice est française : il n'y a pas de vérité, il n'y a que du pouvoir, donc toute hiérarchie est suspecte, toute institution est oppressive, toute norme est violence, toute identité est construite donc négociable, toute majorité est coupable. Voilà comment trois philosophes parisiens, qui n'ont probablement jamais imaginé leurs conséquences pratiques, ont fourni le logiciel d'exploitation à une génération entière d'activistes, de bureaucrates universitaires, de DRH, de journalistes, de législateurs. Voilà comment on a obtenu une civilisation qui ne sait plus dire si une femme est une femme, si sa propre histoire mérite d'être défendue, si le mérite existe, si la vérité se distingue de l'opinion. C'est de la merde pour une raison simple, et il faut la dire calmement. Une civilisation se tient debout sur trois piliers : la croyance qu'il existe une vérité accessible à la raison, la croyance qu'il existe un bien distinct du mal, la croyance qu'il existe un héritage à transmettre. La French Theory a entrepris de dynamiter les trois. Pas par méchanceté. Par jeu intellectuel, par fascination du soupçon, par haine de la bourgeoisie qui les avait nourris. Mais le résultat est là. Une génération entière a appris à déconstruire et n'a jamais appris à construire. Une génération entière sait soupçonner et ne sait plus admirer. Une génération entière voit le pouvoir partout et la beauté nulle part. Je m'excuse parce que nous, Français, avons une responsabilité particulière. C'est notre langue, nos universités, nos éditeurs, notre prestige qui ont donné à ce nihilisme son emballage chic. Sans la légitimité de la Sorbonne et de Vincennes, ces idées n'auraient jamais traversé l'océan. Nous avons exporté le doute comme d'autres exportent des armes. Ce qui se construit maintenant, en silicon valley, dans les labos d'IA, dans les startups, dans les ateliers, dans tous les lieux où des gens fabriquent encore des choses au lieu de les déconstruire, c'est la réponse. Une civilisation se reconstruit par les bâtisseurs, pas par les commentateurs. Par ceux qui croient que la vérité existe et qu'elle vaut qu'on s'y consacre. Par ceux qui assument une hiérarchie du beau, du vrai, du bon, et qui n'ont pas honte de la transmettre. Alors pardon. Et au travail.
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Interstellar
Interstellar@InterstellarUAP·
🚨 Simulation Theory: The Double Slit Experiment proves particles act like waves until observed then they snap into particles. What if our reality only "renders" when we're looking, just like a video game optimizing resources? Check out this episode from The Why Files breaking it down, tying it to Simulation Theory. Are we in a sim? This could be the key to unlocking the true nature of existence! The Why Files video did a great job on explaining the Double Slit Experiment & Simulation Theory What do YOU think—real or rendered? Drop your thoughts below!
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vittorio
vittorio@IterIntellectus·
this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
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Séb Krier@sebkrier

This is wild. theaustralian.com.au/business/techn…

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Dustin
Dustin@r0ck3t23·
Every major decision in human history has been made the same way. Guess. Execute. Hope it doesn’t break the world. That era is ending. Simile CEO Joon Sung Park just revealed what the most serious AI researchers are actually building toward. Park: “Our goal eventually is to ask ourselves what would it mean if we can create simulations of 8 billion people? The entire Earth.” Not a metaphor. A literal, bottom-up digital replica of civilization. We assumed the ultimate goal of AI was to predict the future. Park says that’s thinking too small. He points to The Oracle in The Matrix to explain the real paradigm shift. Park: “You’re not necessarily here to make a decision. You’ve already made that decision. You’re here to understand the decision and why you made that.” AI isn’t a crystal ball to tell us what happens next. It’s an x-ray to show us why. Think about how civilization actually operates right now. We guess. We pass a law. We shift an economic policy. We launch a product. Then we wait a decade to find out if it broke the world. The simulation ends that. Before a government passes a policy, they run a dry-run on 8 billion digital agents. Before a company ships a product, they trace the exact moment the market breaks. Park: “Creating these kind of bottom up simulations where we can actually go back and trace through the audit logs of how society might unfold is an amazing way to gain that interpretability layer of our reality.” Let that phrase land. The interpretability layer of our reality. We spent the last twenty years extracting data from the physical world. We are about to spend the next twenty years using that data to build a mirror world. One where every policy gets stress-tested before it’s enacted. Every product before it ships. Every decision before its consequences become irreversible. Park: “If you want to shape new policies, new products that would actually serve the people, the best way is actually to understand those people and communicating with them at a scalable way to basically create those policies.” We are not moving from ignorance to prediction. We are moving from blind execution to total societal foresight. And once that capability exists, everything changes. Wars modeled before they’re fought. Economies stress-tested before they collapse. Policies run through billions of digital lives before a single real one is affected. Reality becomes the place we execute what the mirror world already proved would work. The ultimate application of artificial intelligence was never about replacing human judgment. It was always about perfecting it. We aren’t just predicting the future anymore. We are rehearsing it. And when you can rehearse the future before you live it, the most catastrophic word in human history finally becomes extinct. That word is surprise.
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Jason James
Jason James@jasonjamesbnn·
It's funny watching Canadian legacy media wake from their stupor and wonder what happened "out of nowhere." Here's a quick list to help them gain a better understanding: 2016-Ongoing: Phoenix Pay System New federal payroll system. Costs quadrupled mysteriously. More costs to fix the quadrupled costs. Actual cost unknown because spending wasn't tracked. 2018: Chrysler Bailout Liberals wrote off a $2.6 billion loan to Chrysler for unknown reasons. No recovery of funds. 2020: WE Charity Contract $912 million student grant program contract awarded to WE Charity. Contract cancelled when Trudeau's family were found to be receiving payouts from WE. $30 million in initial costs unrecovered. 2020-2021: COVID-19 Relief Overpayments and Suspicious Benefits $27.4 billion in suspicious payments through programs like CERB and CEBA. $4.6 billion in overpayments, $1.6 billion to ineligible individuals, $6.1 million to prisoners, and $1.2 million to deceased people. $3.5 billion to ineligible CEBA recipients. Insider payments (corruption) and migrant housing accounted for another $1 billion. 2020-2021: Liberal Ventilators $237 million on 10,000 ventilators ($23,700 per ventilator) purchased from Frank Baylis, a Liberal MP. 2020-2021: Unaccounted Pandemic Spending $600 billion in unaccounted pandemic spending in 2020-21. 2021-2023: ArriveCAN App $59.5 million paid to Liberal insiders GC Strategies on an app hobbyists recreated over a weekend. Estimated real world development cost: $50,000. GC Strategies received $65 million across 106 contracts from 2015-2024 and produced nothing. 2015-2023: McKinsey & Company Contracts $209 million awarded to the Liberal insider corporation (Liberal ambassador to China, Dominic Barton was also managing director of McKinsey). Nothing of value was ever produced from this "partnership." 2015-2023: Infrastructure Projects Under Catherine McKenna $187 billion spent on 20,000 projects. Money was untracked and disappeared. No projects completed. 2018-2024: Trans Mountain Pipeline Expansion $29 billion disappeared under Liberal management. 2021-2024: Sustainable Development Technology Canada (SDTC) $400 million misused through conflicts of interest (186 instances), with funds going to Liberal insiders' companies. Conservatives called it the "Green Slush Fund." 2023-2024: Firearms Buyback Program $67 million in costs. No guns recovered. 2023-2024: Electric Vehicle (EV) Battery Plants $270 million lost on one plant as part of a $30 billion commitment. 2024: Cricket Protein Plant $42 million lost on one facility. $61.9 billion deficit, $21.9 billion higher than projected. Interest costs $53.7 billion. $300 million on passport redesign. Plus billions funneled into Canada's perpetually failing state-funded media. And this is just what's documented. Who knows how much money was laundered and embezzled into offshore accounts over the last 11 years. During his time as Prime Minister, Justin Trudeau's personal net worth grew from $7 million to upwards for $400 million on a $400,000 per year salary. Canada might be poorer than Alabama but Mark Carney, Justin Trudeau and the Liberal Party definitely aren't.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Sarvam went from “embarrassing” to “well done” in eight months, and the reversal is coming from the same VC who trashed them. Deedy called Sarvam’s flagship LLM launch embarrassing in May 2025. Said their 24B model got 23 downloads while two Korean college kids got 200K. Now he’s saying they have the best TTS, STT, and OCR models for Indic languages. Same person, same company, completely different verdict. The part nobody’s talking about is what actually earned it. In May 2025, Sarvam was trying to play the LLM race. They fine-tuned Mistral Small, called it Sarvam-M, launched it on Hugging Face, and watched it flatline at 334 downloads while the Indian tech community tore them apart. $53M in funding, government backing, 4,096 H100s from the IndiaAI Mission, and their flagship product landed with a thud. Then they stopped chasing parameter counts and started building the applied stack: Bulbul for text-to-speech, Saaras for speech-to-text, Sarvam Vision for OCR and document intelligence across 22 Indian languages. Products that solve actual problems in a market of 1.4 billion people, 800+ million of whom don’t speak English. Google, OpenAI, and Anthropic allocate 1-3% of their training data to Indian languages. They think in English and translate out. Sarvam is building natively for Hindi, Bengali, Tamil, Telugu, Kannada, Malayalam, and 16 others. Direct Indic-to-Indic translation without routing through English as an intermediary. A fundamentally different architecture choice that big labs have zero incentive to replicate for a market they view as secondary. Sarvam Vision launched two days ago and already outperforms Gemini 3 Pro on Indic OCR benchmarks with 87.36% word accuracy across 22 languages. Bulbul V3 dropped today with the highest listener preference in independent human studies. Training the 500th LLM gets you 23 downloads. Building the best voice and vision stack for a billion people who can’t use Western AI products in their native language gets you a VC reversal in eight months. Big labs will never go deep on Kannada OCR or Marathi speech synthesis. The ROI math doesn’t work for them. It works for Sarvam because they’re the only ones doing it well, and the Indian government is literally paying them to scale it.
Deedy@deedydas

I was wrong about Sarvam. When I wrote about them a year ago, I felt like the direction to train small "indic" language models was wrong. But boy, have they turned it around. They have the best text-to-speech, speech-to text, and OCR models for Indic languages, and that's actually really valuable. The pricing is very reasonable. And the website is not only beautifully designed but dirt easy to use. They're filling a well needed gap in the ecosystem and doing things big labs will probably never focus on to the fullest extent (at least in the short term). I don't know anything about the business, but there's a lot to appreciate about what they've build technologically and I can't remember the last time I felt that way about software products coming out of India. Well done.

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kunalmishra
kunalmishra@kunalmishra·
@chamath How about rationalizing the AI spend and layoffs are a quick Roí booster.
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Chamath Palihapitiya
Chamath Palihapitiya@chamath·
It’s convenient to blame AI, and this diagnosis may eventually turn out to be right, but the current wave of job losses are not because of AI. It is companies unwinding ZIRP and DEI hiring excesses that left them bloated and inefficient.
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Clint Jarvis
Clint Jarvis@clinjar·
Stanford paid 35,000 people to quit social media. This was the largest study on emotional health in history. The results were so shocking, scientists called it "comparable to therapy." Here's what happens when you break free from the algorithm: 🧵
Clint Jarvis tweet media
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David Sacks
David Sacks@DavidSacks·
Marc Andreessen on the AI race: 20 years from now, the world is going to be running on either Chinese AI or American AI. AI will be the control layer to everything, and it will teach your kids.
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kunalmishra
kunalmishra@kunalmishra·
2/3 This is “metacognitive laziness” when AI makes it easy to stop thinking deeply. Real learning still requires: 🧠 Planning 🔄 Reflecting 💡 Transferring knowledge ChatGPT can assist. But only you can choose to think.
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kunalmishra
kunalmishra@kunalmishra·
1/3 ChatGPT doesn’t replace agency. It reveals whether you have it. A new study shows students using AI wrote better, but didn’t learn better. Why? Because they skipped reflection and leaned too hard on the tool. It’s not lack of access. It’s lack of intention.
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kunalmishra
kunalmishra@kunalmishra·
9/10 🏁 The prize: effortless productivity + new revenue streams while you sleep. But only if we balance autonomy with ethics, and innovation with inclusion.
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kunalmishra
kunalmishra@kunalmishra·
1/10 🚨 The next leap in AI isn’t another chatbot—it’s you, multiplied. Say hello to the Personal Twin Economy: an always-on AI avatar that learns your life, spends your money, and negotiates on your behalf 24 / 7. Ready? Let’s dive. 👇
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