
Manoj Gopalkrishnan
547 posts

Manoj Gopalkrishnan
@manoj_333
CEO at Algorithmic Biologics, former faculty member at IIT Bombay and TIFR Mumbai, researcher in Molecular Computing, Molecular Programmer






Happy Birthday, Geoffrey Hinton! Hinton received the 2018 #ACMTuringAward for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing. In 2024, he won the Nobel Prize in Physics: #_ftn3" target="_blank" rel="nofollow noopener">amturing.acm.org/award_winners/…





Thanks for the shoutout @Satyayadav__ Really happy to’ve presented Indian Cell & Gene Rx journey @ASTCT #Tandem25 Great discussion on the stuff that matters to all! Innovation, Cost/Price, Market reach, Access & Equity @TataMemorial @ImpacctF @CTCTC_tmc @purwarrahul2 @AlbeenaDr

Do LLMs have true generalizable mathematical reasoning capability or are they merely memorizing problem-solving skills? 🤨 We present MATH-Perturb, modified level-5 problems from MATH dataset to benchmark LLMs' generalizability to slightly perturbed problems. 🔗 arxiv.org/abs/2502.06453 🧵 [1/n]

This is a 7/23 interview with DeepSeek founder Liang Wenfeng, autotranslated by DeepSeek itself. How the Price War Began Dark Tide Waves (DTW): DeepSeek V2 ignited a price war. Are you the disruptor? Liang Wenfeng: Unintentionally. We priced based on costs, aiming for modest profit—no subsidies. DTW: ByteDance matched your price, forcing others to follow. Liang: Big Tech’s costs are higher—we never expected loss-leading. It’s becoming an internet-style subsidy war. DTW: Why redesign architectures when copying Llama is easier? Liang: AGI demands structural innovation. Llama lags cutting-edge by two generations. To close gaps in training efficiency and data usage, we need 4x more compute. DTW: Why focus purely on research? Liang: China must join global innovation, not just monetize others’ work. For decades, we’ve ridden Moore’s Law and now Scaling Law as free riders. It’s time to contribute. The Originality Gap DTW: Why did Silicon Valley notice DeepSeek V2? Liang: They’re shocked a Chinese firm innovates, not imitates. But this is normal abroad. DTW: Can China afford such idealism? Liang: Capital isn’t the bottleneck—confidence is. With giants like ByteDance earning globally, we lack neither funds nor talent, just conviction. DTW: Won’t rivals copy MLA? Where’s your moat? Liang: Secrecy can’t stop disruption. Our moat is the team’s accumulated know-how. Open-source earns respect—it’s cultural, not just commercial. DTW: What’s your rebuttal to skeptics like Zhu Xiaohu (VC who prioritizes fast ROI)? Liang: His model suits quick wins. But America’s most profitable firms are tech giants built over decades. DTW: What’s at stake beyond tech? Liang: China’s AI gap isn’t 1-2 years—it’s originality vs. imitation. Without change, we’ll forever follow. NVIDIA’s lead reflects entire ecosystems. China needs its own. Building the Innovation Machine DTW: How’s DeepSeek structured? Liang: Fully bottom-up. No hierarchy. Anyone can requisition GPUs or form teams. We hire for curiosity, not resumes—many are fresh grads or interns. DTW: Jack Clark called your team "cryptic geniuses." Liang: (Laughs) Just passionate youths. MLA began as a junior researcher’s side project. DTW: How do you compete for talent without VC hype? Liang: Tackling AGI attracts the best. China’s top minds are underutilized—we offer hard problems. DTW: OpenAI’s slower pace—is Scaling Law fading? Liang: Progress continues. OpenAI isn’t invincible. We bet on three paths: code/math, multimodal, and pure language. DTW: AGI timeline? Liang: 2-10 years—within our lifetimes. DTW: Will you stay open-source? Liang: Yes. Strong ecosystems need shared foundations. The Hardcore Future DTW: With China’s economy slowing, can innovation thrive? Liang: Downturns breed real innovation. When easy money fades, people build. DTW: Final thoughts? Liang: In the 90s, my hometown dismissed education. Now they know better. When innovators succeed visibly, minds change. We need patience and proof. original: mp.weixin.qq.com/s/r9zZaEgqAa_l… via: pekingnology.com/p/ceo-of-deeps…



1/6 The “KYC crisis” – voices from Chhattisgarh. Shanti (Pahadi Korwa, PVTG) says she "lost hope" of seeing the money she earned from NREGA work and selling tendu leaves, after multiple costly trips to the bank. @DasShaktikanta @RBI @suchetadalal @FinMinIndia





