Kaushik

81 posts

Kaushik

Kaushik

@kaush_ality

Building Trustworthy AI @ Pramaana Labs https://t.co/gnLLBmEQh8

Katılım Mayıs 2012
167 Takip Edilen50 Takipçiler
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Krishnan Raghavan
Krishnan Raghavan@krishnan_rag·
The way AI markets itself with such confidence convinces people it can be blindly trusted. In reality, these are just probabilistic machines with zero guarantees of correctness. Nothing ensures that any given sentence or reasoning is actually true. To deliver on AI abundance, we must stop guessing and use formal models to mathematically prove correctness.
DNA@dna

The debate around artificial intelligence (AI) has reached the Supreme Court of India after a National Company Law Tribunal (NCLT) reportedly relied on fake precedents and cases generated using the tech. The top court set aside an NCLT judgment as it found that the tribunal had believed "non-existent, fake and hallucinated judgments/precedents" generated using AI, news agency PTI reported. The Supreme Court bench which heard the case comprised Justices PS Narasimha and Alok Aradhe. Read Here:dnaindia.com/india/report-s… #SupremeCourt #AI #DNAUpdates

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Pramaana Labs
Pramaana Labs@PramaanaLabs·
It's the tax season of the year for India. We formalized India’s ITR-2 tax logic in Lean 4 and made it a tool for all to use, with a mathematical proof trail to aide your choice of regime selection. Feel free to tinker with our tool before you file your returns: taxoptimizer.pramaanalabs.ai Created by: @manoj_sure @techieShukla
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Pramaana Labs
Pramaana Labs@PramaanaLabs·
Current Frontier LLM models hallucinate with Tax queries on phase-outs, miss quadratic interactions, and leave money on the table; all while sounding confident. Formal verification of these outputs at run-time is the only meaningful way to address this. Cell-by-cell 1040 modeling + machine-checked proofs that your tax plan is compliant and provably optimal. Audit-defensible. Fearless. Authored by: Yoshiki Takashima Read how we turn complex tax optimization into verifiable truth → pramaanalabs.ai/blog/audit-def…
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Pramaana Labs
Pramaana Labs@PramaanaLabs·
Medical AI is rushing toward autonomous agents. But in the clinic, a fluent reasoning trace isn’t enough. We need proofs that are machine-checked and respects every inclusion, exclusion, and contradiction in the patient’s data. Introducing the architecture of clinical truth: formalizing diagnostic criteria in Lean 4 so every diagnosis is verifiable. No more unsafe shortcuts. Authored by: @kaush_ality @ChristineTataru Read more about it here → pramaanalabs.ai/blog/the-archi…
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Pramaana Labs
Pramaana Labs@PramaanaLabs·
Math proofs are cool, but the real revolution? Verifying real-world claims in accounting, tax law, compliance, medicine & more; reliably, efficiently, and at scale. Proof trees look different across domains. One-size-fits-all won't cut it. AI prover architectures must be purpose-built to navigate the specific reasoning trees, resource constraints, and rule stability of the environment they are verifying. Read why specialized provers are the future → pramaanalabs.ai/blog/the-age-o… Authored by: @ArnavAMehta Watch this space for more to come from our Technical blog-post series.
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Republic
Republic@republic·
#RepublicSummit2026 |Sridhar Vembu (@svembu), Co-founder & Chief Scientist, Zoho sheds light on what happens to jobs as software productivity keeps increasing. From promise to proof. From aspiration to execution. #RepublicSummit2026 brings together the biggest names in power, policy and progress to discuss India's emergence as a global shaping force. Nation First. Always. WATCH LIVE: youtube.com/live/c_OEQhm9G… #GreatPowerIndia #RepublicSummit2026 #NationFirst #ArnabGoswami Presented By: RP-Sanjiv Goenka Group (@rpsggroup)| Co-Presented By: ZOHO (@Zoho) & TVS Motor Company(@tvsmotorcompany) | Powered By: Sister Nivedita University(@snuindia) | Co-Powered By: Kalyani (@kssldefence) & Bharat Forge Ltd (@BharatForgeLtd), Samtel Avionics (@SamtelAvionics), Ravin Group(@Ravingroup) and MeghaShrey(@sseemasinghh), Ease My Trip (@EaseMyTrip) | State Partners: UP Govt(@UPGovt), Haryana Govt(@DiprHaryana), Andhra Pradesh Govt(@IPR_AP), Uttarakhand Govt(@ukcmo) and Assam Govt | Housing Partner: Gaurs Group(@Gaurs_Official) | Prayer Partner: Cycle Agarbatti | Skincare Partner: Dr Rashel(@drrashelindia) | Knowledge Partner: Shardha University(@sharda_uni) | Stainless Partner: Jindal Stainless(@Jindal_Official) | Vision Partner: Alcon | Special Partners: Sanskriti University, Gallantt Group (@Gallantt_Group), Pan Bahar(@PanBaharElaichi), Krishna's Ayurveda(@HerbalKrishna), BackBay, Wagh Bakri(@waghbakri), Ferns N Petals, Nandini and Mysore Sandals | Celebration Partner: Allied blenders and distillers(@ABDL_India)
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Joe Barrow
Joe Barrow@barrowjoseph·
New paper: every law in America is technically public. But not really, until now! With @DenisPeskoff at UC Berkeley, we built a corpus of ~every publicly accessibly city and county law, and released a huge chunk of it! 2.2 million laws, you're (probably) covered in it! 🧵
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ranjan_raj
ranjan_raj@ranjan_vittal·
Our friendship started when we shared the same room during IMOTC 2010. It has carried from there to @iitmadras to @Google to @PramaanaLabs. Krishnan is easily the most technically ambitious person I know. Pramaana's instinct to go after extremely hard problems comes from Krishnan's insane pursuit of truth. He repeatedly quotes that unless we prove something is impossible, we can continue to try. PS: @sanjaygsub was his partner in ML and I was his partner in PL during our undergrad. He continues to be the bridge from then till today. Super excited to build Pramaana with the two of you!
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Vinod Khosla
Vinod Khosla@vkhosla·
Auto formalization will be an important new area.
ranjan_raj@ranjan_vittal

Today, I'm thrilled to announce Pramaana's $27M seed, led by @khoslaventures. The foundational domains that hold the world together: tax, law, finance, healthcare; all run on certainty. Probabilistic AI can't give them that. We’ve been asked to accept wrong answers with AI as ‘hallucinations’, while in traditional software terms, it’s just a bug. And a wrong answer in such mission-critical domains is more than just a bug, it's a liability that could have catastrophic impact. We built Pramaana to deliver a 100% trustable experience to the domains that run on certainty: AI that is provably correct, not probabilistically correct. We turn statute and regulation into machine-verifiable code, so every output ships with mathematical proof of correctness. Our mission is to make AI take ownership of it’s work. Pramaana in Sanskrit stands for “means of valid knowledge”, and we’re going to achieve that by formalizing the world’s knowledge.

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Sathya
Sathya@sathyanellore·
“At 15, I ranked first in my state and top 30 nationally in mathematics, joining the elite IMO training camp among its ten youngest members. By 17, I mirrored this in physics - ranking top 30 nationally, and winning a medal for India at the Asian Physics Olympiad.” 🐐 let’s go!
Krishnan Raghavan@krishnan_rag

x.com/i/article/2067…

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Accel in India
Accel in India@AccelIndia·
In tax, law, finance, government, and healthcare, AI still cannot guarantee its answers are correct. A doctor still reads the diagnosis. A lawyer still checks the contract. A tax accountant still signs the return. Not because AI cannot produce an answer, but because when it is wrong in a high-stakes domain, it cannot be held responsible. That is AI's accountability gap. And @PramaanaLabs is building the fix. Pramaana applies formal verification to these domains at scale, converting complex knowledge like tax codes, clinical protocols, and financial regulations into a formal language that machines can reason over with mathematical certainty. The system either returns a machine-checkable proof that an answer is correct or shows exactly where the reasoning breaks. If it cannot prove an answer, it will not provide one. What makes this particularly compelling is the team's proximity to the problem. Ranjan Rajagopalan (@ranjan_vittal), Krishnan Raghavan (@krishnan_rag), and Sanjay Ganapathy Subramaniam spent years building AI systems at Google Maps, Glean, and Google DeepMind, confronting firsthand the challenges of accuracy, reliability, and trust that they are now setting out to solve. Partnering with Pramaana Labs to take AI from probably right to provably right. @prashanthp@anagh_prasad#AccelFamily
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Sanjay Ganapathy
Sanjay Ganapathy@sanjaygsub·
Nine years at Google, three on Gemini at DeepMind, working on post-training with people I'd follow anywhere. Close enough to scale to see how far it goes, and where it stops. Today's AI is remarkable, but jagged: it hallucinates fluently. In high-stakes domains like healthcare, legal, or finance, a confident mistake is worthless. Right as I was wrestling with this, @krishnan_rag , @ranjan_vittal and I converged on a wild idea: AI that proves its own work. Proofs, not disclaimers. So I left. Nine months later, at Pramaana Labs, we're building it: a cracked team training foundation models to formalize human knowledge on a scale hitherto undreamt of, and bring formally verified AI to the real world. A future where AI is provably correct, not just probably.
ranjan_raj@ranjan_vittal

Today, I'm thrilled to announce Pramaana's $27M seed, led by @khoslaventures. The foundational domains that hold the world together: tax, law, finance, healthcare; all run on certainty. Probabilistic AI can't give them that. We’ve been asked to accept wrong answers with AI as ‘hallucinations’, while in traditional software terms, it’s just a bug. And a wrong answer in such mission-critical domains is more than just a bug, it's a liability that could have catastrophic impact. We built Pramaana to deliver a 100% trustable experience to the domains that run on certainty: AI that is provably correct, not probabilistically correct. We turn statute and regulation into machine-verifiable code, so every output ships with mathematical proof of correctness. Our mission is to make AI take ownership of it’s work. Pramaana in Sanskrit stands for “means of valid knowledge”, and we’re going to achieve that by formalizing the world’s knowledge.

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