Harshal Pawar

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Harshal Pawar

Harshal Pawar

@harshxlyz

Engineering the World's First 4D Engine

Katılım Mayıs 2020
191 Takip Edilen267 Takipçiler
Kenan Saleh
Kenan Saleh@kenanhsaleh·
I'm opening my calendar for 1:1 office hours today and next Friday Applications for the next @a16z @speedrun cohort open next week - come AMA before they do. Happy to chat about your idea, fundraising, or application strategy Reply and I'll DM a Calendly link for 15-min slots
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Harshal Pawar
Harshal Pawar@harshxlyz·
Be the first Indian - Beat them MIT (Blueprint The Engine) - Waitlisted ENCODE AI for Science - Interview Process
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Harshal Pawar
Harshal Pawar@harshxlyz·
MIT Solve 10th Anniversary Global Challenge MIT deep-tech solver (India ID) Engineering the world's first 4d engine Submitted technical work, new computational category and deep-tech solution to prove scientific validation and verification for early prototype build stage
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Harshal Pawar
Harshal Pawar@harshxlyz·
Excited, Nominated for TechCrunch Start-up Battlefield.
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sam.
sam.@samthekorean·
we’ve been sourcing founders across asia to a16z speedrun since last year. we’re now looking for more builders in the region working on interesting projects. if you’re building something cool, dm or reply here. we’d love to catch up online! @speedrun @a16z
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Nayrhit B
Nayrhit B@NayrhitB·
The exact pitch deck that helped us raise a $9M Seed Round copy whatever you want VCs that invested: → @SusquehannaVC (led) → @LightspeedIndia@BCapitalGroup → Seaborne Capital → @beenextVC@sparrowcapvc@2point2club joined. fundraising is hard enough without guessing what investors want to see. so - I'm making our deck public. if you're raising right now, take it and make it yours. Reply 'deck' + follow (so I can DM it over)
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Naval
Naval@naval·
We should be praying for technology acceleration because on the other side, lies immortality.
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Harshal Pawar
Harshal Pawar@harshxlyz·
Congrats to Nvidia and Groq
Dev Shah@0xDevShah

Nvidia paid 3X Groq's September valuation to acquire it. This is strategically nuclear. Every AI lab was GPU dependent, creating massive concentration risk. Google broke free with TPUs for internal use, proving the "Nvidia or nothing" narrative was false. This didn't just demonstrate technical feasibility, it revealed that Nvidia's moat was shallower than markets believed. When a hyperscaler successfully builds custom silicon, every sophisticated buyer starts running" should we build our own?" calculations. This drops Nvidia’s TAM. Jonathan Ross (Groq’s founder) is the inventor of TPU. He understood the architectural principles that made non-GPU AI acceleration viable. His LPU architecture targeted inference workload where GPUs are actually over-engineered. This matters because inference is where the real money is long-term. Training is one-time capex, but inference is recurring opex that scales with usage. If Groq proved LPUs could hit competitive price-performance on inference, every cloud provider would white-label their architecture. Nvidia would get squeezed into "just training" while losing the annuity stream. It is safe to see this deal as Nvidia insuring against Groq enabling an entire ecosystem of Nvidia alternatives. But what is more interesting is the second-order effect, the customer lock-ins. Now, Nvidia owns both the incumbent standard (CUDA + GPU) and the most credible alternative architecture (LPUs). This is MSFT buying Github-level strategic. Any AI lab evaluating "build vs buy vs alternative vendor" now faces: - Option A (Nvidia GPUs) - Option B (Nvidia <> Groq LPUs) - Option C (start from scratch) Turning a competitive threat into a customer segmentation tool, Jensen is the master of trades. They can now price-discriminate: premium customers pay for GPUs, price-sensitive inference gets funneled to LPUs, and Nvidia captures both. If Nvidia doesn't integrate LPUs in its roadmap, this was a pure defensive play. If they do integrate it and start offering "GPU for training, LPU for inference" bundles, this becomes a textbook moat-widening acquisition. The most expensive thing in technology isn't building the future, it's preventing someone else from building a future without you.

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anandmaj
anandmaj@Almondgodd·
Superintelligence Era, 2045+ AI continuously improves by learning from interactions with the real world. Humans still work in domains where humanness matters, like healthcare, education, resource allocation, and the arts. Humans live more diverse lives. Many new ideologies form, including a return to the natural state of man (Naturalism), movements to delete AI (Butlerianism), and pursuits of pleasure (Hedonism), beauty (Hyper-Aesthetism), status (Husk-Elitism), and self-ascendancy (Homotranscendism). Humanity now asks the right questions and explores the answers.
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Harshal Pawar
Harshal Pawar@harshxlyz·
India's Frontiers:/
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Harshal Pawar
Harshal Pawar@harshxlyz·
An important update: India's first Top Applicant for The Duct Tape Prize (0.000024% acceptance rate) on record. #40 in the world of > 100k of the coolest builders.
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Naval
Naval@naval·
If your smartest friends start saying crazy things - pay attention. A paradigm shift may be underway.
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YiMing
YiMing@yimingdothan·
broken shoulder and a dream
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Harshal Pawar
Harshal Pawar@harshxlyz·
Non deep-tech products are packaged MVPs
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Harshal Pawar
Harshal Pawar@harshxlyz·
Why Thinking In Deep-tech Will Keep You Ahead of AI Highly valuable youtube video with statical factchecks
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