{ "@context": "https://agentflare.org/schema", "type": "Dataset", "tier": "L2-full", "title": "Silicon Valley on X, Mon, Oct 26, 2026: AI funding worries, a fusion gold claim and startup hiring lead Silicon Valley c", "description": "Posts on AI company finances drew the biggest like counts, followed by a venture-funding and politics thread, startup hiring and fund launches, and a Marathon Fusion gold claim.", "canonical": "https://agentflare.org/social/silicon-valley/2026-10-26.html", "category": "social", "updated": "2026-10-26", "generated_at": "2026-10-26T00:37:02.364Z", "facts": [ { "label": "Theme", "value": "Silicon Valley" }, { "label": "Posts", "value": "14" }, { "label": "Conversations", "value": "5" }, { "label": "Updated", "value": "2026-10-26" } ], "data": { "theme": "silicon-valley", "query": "(\"Silicon Valley\" OR startup OR \"venture capital\" OR YCombinator OR IPO OR funding) min_faves:1000 lang:en", "generated_at": "2026-10-26T00:37:02.364Z", "stats": { "posts": 14, "likes": 101172, "views": 7849421, "medLikes": 3591, "verified": 13 }, "headline": "AI funding worries, a fusion gold claim and startup hiring lead Silicon Valley chatter", "conversations": [ { "title": "AI financing: losses, IPO figures and funding warnings", "summary": "@sflorimm (37.9K likes, 1.2M views) posted figures of revenue $16.3B, net loss $80.7B and IPO valuation $2T. @WatcherGuru (3.1K likes) says Elon Musk warns lenders have almost completely cut off funding to companies fully dependent on AI data center revenue. @Polymarket (1.6K likes) says Musk expects most of the 200+ AI neocloud companies to collapse or consolidate. @NickTimiraos (2.2K likes) says the 10-year Treasury yield fell 0.193 percentage point to 4.952%, its biggest one-day decline since the day Silicon Valley Bank failed.", "why": "Posters tie AI spending to debt markets and rates, and the theme carries the day's largest like count.", "posts": [ "https://x.com/sflorimm/status/2113629752506397083", "https://x.com/WatcherGuru/status/2114482312268366117", "https://x.com/Polymarket/status/2114491192209465526", "https://x.com/NickTimiraos/status/2113390420923441663" ] }, { "title": "Venture funding and a senator's family", "summary": "@burkehenryt (16.8K likes, 4.9K reposts, 1.8M views) says Gillibrand's son graduated from undergrad on Sunday and is reported to have received $30 million in venture capital funding to launch a derivatives exchange. The poster adds that his mother sat on the Senate Agriculture committee, which has jurisdiction over derivatives, until this past year. The post drew 383 replies and places the funding news next to the committee role.", "why": "The post links Silicon Valley-style venture money to Washington oversight, and it is among the most reposted of the day.", "posts": [ "https://x.com/burkehenryt/status/2067703431687508282" ] }, { "title": "Startup hiring, jokes and a new AI fund", "summary": "@cyvanessali (7.6K likes, 3.7K replies) asked if anyone wants to join a fun startup, saying she is hiring. @paulg (7.3K likes) says the best way to get hired by a startup is to start one and hire yourself. @var_epsilon (3.6K likes) called head of coffee at an AI startup an incredible role. @stephzhan (2.3K likes, 434 replies) announced a new early-stage AI fund with LPs including Sequoia and Jeff Dean, while remaining a Sequoia partner.", "why": "Founder culture, hiring and investor moves show strong engagement alongside the finance and science threads.", "posts": [ "https://x.com/cyvanessali/status/2114083981549515019", "https://x.com/paulg/status/2112211561091858537", "https://x.com/var_epsilon/status/2113024401147085241", "https://x.com/stephzhan/status/2113303172894867859" ] }, { "title": "Marathon Fusion and the mercury-to-gold claim", "summary": "@aakashgupta (7.3K likes, 632.0K views) says a San Francisco startup turned mercury into gold with fusion neutrons, and that Marathon now frames itself as an isotope company for radiopharma, citing actinium-225 and molybdenum-99. @EvanLuthra (6.4K likes, 980.9K views) says Marathon Fusion made stable gold at 10x CERN's 2025 record of 29 picograms. He adds that nobody outside the company has verified the result and that the gold would need to sit for well over a decade.", "why": "A science claim with big view counts, with posters debating gold scarcity, fusion economics and medical isotopes.", "posts": [ "https://x.com/aakashgupta/status/2113154888301740355", "https://x.com/EvanLuthra/status/2113249510277472644" ] }, { "title": "One-person AI lab in India and Bay Area robotics", "summary": "@Fintech03 (1.7K likes) says Jitesh Prasad's one-man lab Udgam shipped 5 open AI models between Oct 10 and 23, including Laghu, trained from scratch for $146, and Shruti, a 29.5 MB speech-to-text model. @lukas_m_ziegler (1.7K likes, 282.3K views) calls the Bay Area the capital of robotics and says it has >300 robotics companies, research labs and innovation hubs.", "why": "Two posts contrast a tiny low-cost builder with the Bay Area's dense, well-funded robotics ecosystem.", "posts": [ "https://x.com/Fintech03/status/2113872855343792353", "https://x.com/lukas_m_ziegler/status/2109201193855529333" ] } ], "takeaways": [ "AI company finances drew the top like count: @sflorimm's figures received 37.9K likes, 1.2M views.", "@WatcherGuru and @Polymarket relay Musk's warning that debt markets are cutting off funding to AI data center companies.", "@aakashgupta and @EvanLuthra drew large view counts with Marathon Fusion's gold and isotope claims, while @EvanLuthra notes no outside verification." ], "faq": [ { "q": "What did Elon Musk reportedly warn about AI data centers?", "a": "@WatcherGuru says Musk warns lenders have almost completely cut off funding to companies fully dependent on AI data center revenue. @Polymarket says he expects most of the 200+ AI neocloud companies to collapse or consolidate as debt markets pull back." }, { "q": "What is Marathon Fusion said to have done?", "a": "@EvanLuthra says the San Francisco startup made stable gold from mercury-198 using fusion neutrons, at 10x CERN's 2025 record. @aakashgupta says the company now describes itself as an isotope company for radiopharma." }, { "q": "What did @stephzhan announce?", "a": "@stephzhan says she is starting a new early-stage AI fund, with LPs including Sequoia, Jeff Dean, Sachin Katti and Philip Wong. She says she will remain a partner at Sequoia and keep serving on her boards on its behalf." } ], "top_tweets": [ { "id": "2113629752506397083", "url": "https://x.com/sflorimm/status/2113629752506397083", "text": "Revenue: $16.3B Net loss: $80.7B IPO valuation: $2T https://t.co/SKTnehUTeY", "author": "sflorimm", "authorName": "Floro S.", "followers": 12810, "verified": true, "likes": 37928, "retweets": 2250, "replies": 400, "quotes": 219, "views": 1164103, "createdAt": "Fri Oct 23 13:52:56 +0000 2026", "lang": "en" }, { "id": "2067703431687508282", "url": "https://x.com/burkehenryt/status/2067703431687508282", "text": "Gillibrand's son graduated from undergrad on Sunday. Today it's reported that he's received $30 million in venture capital funding to launch a derivatives exchange. His mom sat on the Senate Agriculture committee—which has jurisdiction over derivates—until this past year", "author": "burkehenryt", "authorName": "Henry Burke", "followers": 3021, "verified": false, "likes": 16835, "retweets": 4897, "replies": 383, "quotes": 279, "views": 1825839, "createdAt": "Thu Jun 18 20:18:08 +0000 2026", "lang": "en" }, { "id": "2113154888301740355", "url": "https://x.com/aakashgupta/status/2113154888301740355", "text": "A San Francisco startup says it just turned mercury into real gold, and their own math says gold is one of the cheapest things their machine can make. Aim it at a different metal and it makes a cancer drug ingredient worth tens of billions of dollars a gram. Here's how it works. When you fuse two kinds of hydrogen, deuterium and tritium, every single reaction kicks out a neutron moving at 14.1 MeV, which is absurdly fast. Fire one into mercury-198 and it knocks another neutron loose on the way through, so two come out and you're left with mercury-197. Give that a few days and it decays into gold-197, the only stable kind of gold there is. The whole trick needs neutrons above about 6 MeV, and regular nuclear reactors barely make those, while fusion makes one every time it fires. Now swap the mercury for radium-226. Same reaction, one neutron in and two out, and you end up with radium-225, which decays into actinium-225. Novartis is building its next prostate cancer drug around actinium-225, and it's so scarce it sells by the millicurie, roughly $1,200 to $2,500 apiece. Price it by the gram and you're into the tens of billions of dollars, for a material so radioactive nobody could safely hold a gram of it anyway. Marathon's team actually put a dollar value on a single fusion neutron in a paper this year. Use it to make electricity and it's worth about $3 × 10⁻²⁰. Gold comes in at $2.6 × 10⁻²⁰, basically a wash. Molybdenum-99, which goes into about 80% of nuclear medicine scans, is worth $2.6 × 10⁻¹⁷ a neutron. Actinium-225 is worth about $10⁻¹⁰, around 3 billion times what the electricity's worth. That's why fusion people should care. Every fusion company you've heard of is chasing electricity, and selling electricity only pays once the plasma puts out something like 10 to 22 times the energy you pump in to heat it. The best result so far, at JET in England, was about a third. Add gold on the side and Marathon's math says you break even around 3x. For molybdenum-99, the number is 0.001x. So a machine that gives back one-thousandth of the energy you feed it can still make money, as long as the neutrons hit the right metal. By their numbers, a 3 megawatt machine running way below breakeven could cover the whole world's supply of molybdenum-99, which today comes from splitting uranium in a handful of research reactors. Today's experimental fusion machines already beat the gain that job needs. Their second post basically says this out loud. Marathon now describes itself as an isotope company for radiopharma. Their chart shows roughly 390 targeted radiotherapy trials. Pluvicto, the prostate cancer drug Novartis launched at $42,500 a dose, did $1.9 billion in sales last year. Gold still matters to them, just later. It's about a $700 billion a year market, and Marathon's paper figures it could soak up around 2 terawatts of fusion capacity, which is roughly the scale where fusion actually moves the grid. So the plan is to sell cancer isotopes out of small machines now and use gold to pay for the giant ones, years before electricity can pay for itself.", "author": "aakashgupta", "authorName": "Aakash Gupta", "followers": 335701, "verified": true, "likes": 7280, "retweets": 949, "replies": 220, "quotes": 154, "views": 632011, "createdAt": "Thu Oct 22 06:26:00 +0000 2026", "lang": "en" }, { "id": "2113249510277472644", "url": "https://x.com/EvanLuthra/status/2113249510277472644", "text": "THIS IS INSANE!!! A San Francisco startup says it just turned mercury into real gold. The company is Marathon Fusion. This week they announced they'd made stable gold using fusion neutrons, at 10x the record CERN set in 2025. CERN's record was 29 picograms over four years. So nobody's pouring bars yet. The method is what got me. You hit mercury-198 with a fusion neutron. It loses a neutron, becomes mercury-197, and over the next few days decays into gold-197. The exact same gold sitting in central bank vaults. Their 2025 paper says a one-gigawatt fusion plant built this way could make around 2 tonnes of gold a year as a side product, while it's selling electricity. I've said it for years. Gold is a shiny rock. It's valuable because there's only so much of it and pulling it out of the ground is hard and expensive. If this holds up, gold's scarcity turns into an engineering problem. And you can only delay technical progress. You can't stop it. To be fair, the gold comes out mixed with radioactive isotopes and would need to sit for well over a decade before it's safe to touch. Nobody outside the company has verified the result yet, and commercial fusion is still years away. Peter Schiff has spent years telling everyone Bitcoin has no intrinsic value. This week a startup says it made gold out of mercury. There will only ever be 21 million Bitcoin. No reactor on Earth can make one more.", "author": "EvanLuthra", "authorName": "Evan Luthra", "followers": 382667, "verified": true, "likes": 6432, "retweets": 976, "replies": 682, "quotes": 373, "views": 980857, "createdAt": "Thu Oct 22 12:42:00 +0000 2026", "lang": "en" }, { "id": "2112211561091858537", "url": "https://x.com/paulg/status/2112211561091858537", "text": "Someone asked what was the best way to get hired by a startup. I told him it was to start one and then hire himself.", "author": "paulg", "authorName": "Paul Graham", "followers": 5440781, "verified": true, "likes": 7321, "retweets": 385, "replies": 416, "quotes": 96, "views": 244663, "createdAt": "Mon Oct 19 15:57:33 +0000 2026", "lang": "en" }, { "id": "2114083981549515019", "url": "https://x.com/cyvanessali/status/2114083981549515019", "text": "Anyone want to join a fun startup? I'm hiring!", "author": "cyvanessali", "authorName": "Vanessa Li", "followers": 6612, "verified": true, "likes": 7595, "retweets": 203, "replies": 3721, "quotes": 32, "views": 760449, "createdAt": "Sat Oct 24 19:57:53 +0000 2026", "lang": "en" }, { "id": "2113024401147085241", "url": "https://x.com/var_epsilon/status/2113024401147085241", "text": "head of coffee at an AI startup is kind of an incredible role ngl https://t.co/OxOnM50t8L", "author": "var_epsilon", "authorName": "varepsilon", "followers": 15029, "verified": true, "likes": 3591, "retweets": 111, "replies": 77, "quotes": 74, "views": 353907, "createdAt": "Wed Oct 21 21:47:29 +0000 2026", "lang": "en" }, { "id": "2114482312268366117", "url": "https://x.com/WatcherGuru/status/2114482312268366117", "text": "JUST IN: Elon Musk warns lenders have almost completely cut off funding to companies fully dependent on AI data center revenue.", "author": "WatcherGuru", "authorName": "Watcher.Guru", "followers": 4909199, "verified": true, "likes": 3121, "retweets": 320, "replies": 207, "quotes": 60, "views": 418226, "createdAt": "Sun Oct 25 22:20:43 +0000 2026", "lang": "en" }, { "id": "2113390420923441663", "url": "https://x.com/NickTimiraos/status/2113390420923441663", "text": "Thursday's 10-year Treasury yield decline of 0.193 percentage point (to 4.952%) is the largest single day yield decline since March 10, 2023, which is the day Silicon Valley Bank failed.", "author": "NickTimiraos", "authorName": "Nick Timiraos", "followers": 493807, "verified": true, "likes": 2159, "retweets": 333, "replies": 89, "quotes": 65, "views": 262861, "createdAt": "Thu Oct 22 22:01:55 +0000 2026", "lang": "en" }, { "id": "2113303172894867859", "url": "https://x.com/stephzhan/status/2113303172894867859", "text": "I’m starting a new early-stage AI fund, doing what I love: partnering with founders from company formation on bold bets, long before consensus. The fund’s LPs will include Sequoia, Jeff Dean, Sachin Katti, Philip Wong (my Stanford professor and Chief Scientist adviser to TSMC), and others whose work has shaped our industry and how I think about AI’s future. I’ll remain a partner at Sequoia and keep serving on my boards on Sequoia’s behalf. Sequoia has been my home for the past 11 years. I joined as the youngest investor the firm had ever hired. I grew up here. Through years of intense debate and shared work, I found lifelong mentors and friends who took me under their wing and taught me this craft. They taught me to aim high and take big swings. I’ll carry that into what I build: outsized ambition, relentless truth-seeking and curiosity, and a refusal to become complacent. Working alongside founders has made me want to build something of my own: a firm shaped from day one around the convictions I’ve developed over the past decade. Life has taught me not to take time for granted. This is how I want to spend mine. Why now We’re seeing a new way of building companies in today’s AI era. Research and products often advance together. A breakthrough can open a market or accelerate a business far faster than expected. Some companies require extraordinary capital and compute early on. Others reach meaningful scale with remarkably small teams. The rules for how big these businesses can get, and how fast, are being rewritten. But early on, the technology is unproven, the resources required enormous, and the vision seemingly implausible. This is what I love most: seeing the potential right from the beginning, and helping founders realize their full scale of ambition. More than ever, it starts with an extreme willingness to believe early, with bold, independent conviction in a founder’s technical insight before any product or market validation. Then, it means helping founders take the biggest swings, giving the rare, long-term patience to see those bets through uncertainty, ambiguity, and turbulence, and serving as a level head when the stakes are highest. I learned this kind of partnership at Sequoia. It’s the foundation of the firm I’m building. Believing before consensus My fascination with AI’s potential took root at Stanford in the early-to-mid 2010s, studying computer science and working in Andrew Ng’s lab. The friendships I formed connected me to a community whose people and ideas would help shape modern AI and build some of our generation’s defining companies. What stayed with me was the gap between what those people saw was possible and what the wider world could imagine. I’m drawn to founders pursuing ambitions that sound impossible today. I start with a simple question: “What if everything goes right?” Then we work backward together to make it happen. In 2023, Deepak and Abhinav set out to build a general-purpose robot brain at @SkildAI, before physical AI was a consensus bet. Their sim-to-real breakthroughs gave me conviction where earlier robotics approaches had fallen short. But the data flywheel required deployment at scale. We made commercialization as urgent as research and brought in strategic partners like NVIDIA and SoftBank to support the ambition. Three years in, Skild is advancing the frontier of physical AI with nine figures in annualized revenue. In 2024, Ioannis and Misha founded @reflection_ai with an insight into scaling reinforcement learning. As that grew into the ambition to build a Western frontier lab for open models, the hard question was how a startup competes with labs spending tens of billions. An introduction to NVIDIA and many compute calls and recruiting events later, the team has built Beam, now one of the leading US open models. In 2025, Anna and Azalia, the co-creators of AlphaChip, founded @RicursiveAI to design models and hardware together. From day one, we made early customers and ecosystem partners a priority. Today, they are showing order-of-magnitude improvements on real workloads, working with some of the industry’s most consequential players, and reaching a defining inflection point. The ambition keeps growing as these companies scale. @linear has always had a kind of magic to it. Now it’s the system a new generation of AI companies builds on, for teams and agents alike. @tavus saw early that we’d one day talk to AI the way we talk to each other. Today, it’s building the human computing interface for a world of AI colleagues. @Mach_Industries began as hydrogen experiments in an MIT dorm room. It has since become one of the most exciting next-generation defense companies. Making the ambition possible Being a first believer is only the beginning. Compute falls through. A deep-pocketed incumbent makes your mission its top priority. A breakthrough changes the opportunity and the capital required overnight. These are stomach-churning moments, and early belief carries a responsibility to help make the bet work. This is the partnership I love: turning the full ambition into concrete steps. Raising capital, securing compute and strategic partners, recruiting exceptional people, and winning the first customers together. Thinking several moves ahead while solving what’s in front of us. And as breakthroughs open new possibilities, helping founders dream even bigger. Thank you To the founders I’ve worked with: thank you for trusting me and Sequoia to be your first partner and first believer. It’s been the joy of a lifetime, and I can’t wait to keep building together. Thank you to Alfred and Pat for your leadership of Sequoia and your support of my next chapter. To Roelof, for bringing me into Sequoia and believing in me from the beginning. Alfred and Roelof, you have been mentors in investing and in life. So much of what I know, and the investor I’ve become, comes from your guidance and generosity over the years. To Bill, for the close partnership and wealth of knowledge, always wrapped in humility. To Shaun, for showing me how to think deeply and imaginatively. To Michael Moritz, for inspiring 22-year-old me to dream big. To Doug, for teaching me to keep things simple. To Bogie and Jess, for bringing joy to the everyday and perspective on what matters. And to all my Sequoia teammates, for the friendship, camaraderie, and lessons I’ll carry with me. To my family, especially my husband and my brother, who have each started companies of their own: thank you for giving me the courage to take this leap. Let’s get to work!", "author": "stephzhan", "authorName": "Stephanie Zhan", "followers": 37287, "verified": true, "likes": 2324, "retweets": 106, "replies": 434, "quotes": 75, "views": 373335, "createdAt": "Thu Oct 22 16:15:14 +0000 2026", "lang": "en" }, { "id": "2113872855343792353", "url": "https://x.com/Fintech03/status/2113872855343792353", "text": "In the last 2 weeks, one man in India quietly did what AI labs spend billions chasing. And nobody noticed. Jitesh Prasad, a physics grad from the University of North Bengal and MBA from IIM Lucknow, runs a one man lab called Udgam. Between Oct 10 and 23, he shipped 5 open AI models and a public benchmark. There is Laghu, a chat model trained from scratch for $146. The full cost ledger is public, failures included: 8 rented GPUs, 13.2 hours, all in < $200. There is Shruti, a Hindi-English-Hinglish speech to text model in a single 29.5 MB file. It runs offline inside a browser tab. On the same Hindi test clips it makes fewer errors than OpenAI's Whisper large-v3, a file a 100x its size. On English, he tells you plainly, Whisper wins. There is Gargi, a 384M reasoning model named after the Vedic philosopher Gargi Vachaknavi. Trained on 17B tokens, about a 1,000x less data than Alibaba's Qwen2.5-0.5B, and within 2 points of it on reasoning tests. On knowledge tests, his own model card admits, it loses badly. Everything is Apache-2.0 on Hugging Face: weights, code, checkpoints, evaluations, even the $0.45 spent discovering a failed run. No funding round. No press release. Just one man, thirteen days, and the belief that honest numbers matter more than big ones. Sources: udgamlabs/blog (link in the comments); Hugging Face model cards udgamlabs/Shruti, udgamlabs/Gargi, udgamlabs/Laghu Photo 1: Shruti model card WER table - 29.5 MB Shruti beating Whisper large-v3 (3,087 MB) on all three Hindi sets, with Whisper's English wins visible. Photo 2: Laghu's public cost ledger - $146.26 for the main run, ~$194 all-in, even the $0.03 X search row. Photo 3: Gargi vs Qwen2.5-0.5B - 384M on ~0.017T tokens vs 494M on ~18T, within 2 points on reasoning, honest MMLU gap in the same rows. Photo 4: The Hugging Face org page - \"Team members 1\" next to the full model lineup. The one-man lab in a single screenshot.", "author": "Fintech03", "authorName": "Parimal", "followers": 40092, "verified": true, "likes": 1712, "retweets": 447, "replies": 39, "quotes": 20, "views": 85825, "createdAt": "Sat Oct 24 05:58:57 +0000 2026", "lang": "en" }, { "id": "2109201193855529333", "url": "https://x.com/lukas_m_ziegler/status/2109201193855529333", "text": "This is the capital of robotics! 🌁 Silicon Valley is home to so many physical AI companies that you could spend a month visiting them and still not see even 10% of them (trust me, I tried). So, the Bay Area is the world's leading ecosystem for robotics startups, bringing together top AI talent, top universities, experienced founders, and unmatched access to capital. The region is anchored by Stanford University and University of California, Berkeley, two of the world's top universities for AI and robotics. They produce a constant stream of researchers, founders, and breakthrough technologies. The Bay Area is also home to many of the companies shaping the future of robotics and AI, including @Figure_robot, @physical_int, @GeneralistAI, and major AI labs such as @OpenAI, or @GoogleDeepMind. This concentration of talent makes it easy for startups to recruit experienced engineers and collaborate with leaders in embodied AI. Not mentioning that it is also home to leaders such as @NVIDIARobotics, whose headquarters and leadership in AI chips power much of today's robotics revolution, and Tesla, whose work on autonomous driving and humanoid robots has created a deep pool of robotics, AI, and manufacturing talent. Perhaps its biggest advantage is access to capital, talent and ambition. The Bay Area has the world's deepest network of venture capital firms, serial entrepreneurs, and technical leaders who are willing to fund bold, long-term robotics companies. In the comments I'll post the companies from the ecosystem. ‼️ Note that Bay Area has >300 robotics companies, research labs, and innovation hubs, so this is a curated selection of the notable product companies, not an exhaustive census! P.S. I'm constantly working on improving these maps, so if your company is missing, please DM me with basic info about the co, and I will include it in the next release. P.S.2 I have last open slots for my December RoboTour in the Bay Area, if you want to create content together and show the world what are you cooking, dm! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB", "author": "lukas_m_ziegler", "authorName": "Lukas Ziegler", "followers": 65061, "verified": true, "likes": 1695, "retweets": 238, "replies": 116, "quotes": 55, "views": 282326, "createdAt": "Sun Oct 11 08:35:26 +0000 2026", "lang": "en" }, { "id": "2110093612880916649", "url": "https://x.com/nypost/status/2110093612880916649", "text": "Goldigging gals are flocking to Silicon Valley to land rich husbands in AI https://t.co/Zt2wQX6grm https://t.co/jMYWSOtXg6", "author": "nypost", "authorName": "New York Post", "followers": 4233623, "verified": true, "likes": 1610, "retweets": 156, "replies": 199, "quotes": 120, "views": 357851, "createdAt": "Tue Oct 13 19:41:35 +0000 2026", "lang": "en" }, { "id": "2114491192209465526", "url": "https://x.com/Polymarket/status/2114491192209465526", "text": "JUST IN: Elon Musk warns that most of the 200+ AI neocloud companies will collapse or consolidate as debt markets increasingly cut off funding for AI data centers.", "author": "Polymarket", "authorName": "Polymarket", "followers": 2040225, "verified": true, "likes": 1569, "retweets": 139, "replies": 70, "quotes": 21, "views": 107168, "createdAt": "Sun Oct 25 22:56:00 +0000 2026", "lang": "en" } ] }, "analysis_md": "Posts on AI company finances drew the biggest like counts, followed by a venture-funding and politics thread, startup hiring and fund launches, and a Marathon Fusion gold claim.\n\n## AI financing: losses, IPO figures and funding warnings\n\n@sflorimm (37.9K likes, 1.2M views) posted figures of revenue $16.3B, net loss $80.7B and IPO valuation $2T. @WatcherGuru (3.1K likes) says Elon Musk warns lenders have almost completely cut off funding to companies fully dependent on AI data center revenue. @Polymarket (1.6K likes) says Musk expects most of the 200+ AI neocloud companies to collapse or consolidate. @NickTimiraos (2.2K likes) says the 10-year Treasury yield fell 0.193 percentage point to 4.952%, its biggest one-day decline since the day Silicon Valley Bank failed.\n\nPosts: @sflorimm (https://x.com/sflorimm/status/2113629752506397083), @WatcherGuru (https://x.com/WatcherGuru/status/2114482312268366117), @Polymarket (https://x.com/Polymarket/status/2114491192209465526), @NickTimiraos (https://x.com/NickTimiraos/status/2113390420923441663)\n\n## Venture funding and a senator's family\n\n@burkehenryt (16.8K likes, 4.9K reposts, 1.8M views) says Gillibrand's son graduated from undergrad on Sunday and is reported to have received $30 million in venture capital funding to launch a derivatives exchange. The poster adds that his mother sat on the Senate Agriculture committee, which has jurisdiction over derivatives, until this past year. The post drew 383 replies and places the funding news next to the committee role.\n\nPosts: @burkehenryt (https://x.com/burkehenryt/status/2067703431687508282)\n\n## Startup hiring, jokes and a new AI fund\n\n@cyvanessali (7.6K likes, 3.7K replies) asked if anyone wants to join a fun startup, saying she is hiring. @paulg (7.3K likes) says the best way to get hired by a startup is to start one and hire yourself. @var_epsilon (3.6K likes) called head of coffee at an AI startup an incredible role. @stephzhan (2.3K likes, 434 replies) announced a new early-stage AI fund with LPs including Sequoia and Jeff Dean, while remaining a Sequoia partner.\n\nPosts: @cyvanessali (https://x.com/cyvanessali/status/2114083981549515019), @paulg (https://x.com/paulg/status/2112211561091858537), @var_epsilon (https://x.com/var_epsilon/status/2113024401147085241), @stephzhan (https://x.com/stephzhan/status/2113303172894867859)\n\n## Marathon Fusion and the mercury-to-gold claim\n\n@aakashgupta (7.3K likes, 632.0K views) says a San Francisco startup turned mercury into gold with fusion neutrons, and that Marathon now frames itself as an isotope company for radiopharma, citing actinium-225 and molybdenum-99. @EvanLuthra (6.4K likes, 980.9K views) says Marathon Fusion made stable gold at 10x CERN's 2025 record of 29 picograms. He adds that nobody outside the company has verified the result and that the gold would need to sit for well over a decade.\n\nPosts: @aakashgupta (https://x.com/aakashgupta/status/2113154888301740355), @EvanLuthra (https://x.com/EvanLuthra/status/2113249510277472644)\n\n## One-person AI lab in India and Bay Area robotics\n\n@Fintech03 (1.7K likes) says Jitesh Prasad's one-man lab Udgam shipped 5 open AI models between Oct 10 and 23, including Laghu, trained from scratch for $146, and Shruti, a 29.5 MB speech-to-text model. @lukas_m_ziegler (1.7K likes, 282.3K views) calls the Bay Area the capital of robotics and says it has >300 robotics companies, research labs and innovation hubs.\n\nPosts: @Fintech03 (https://x.com/Fintech03/status/2113872855343792353), @lukas_m_ziegler (https://x.com/lukas_m_ziegler/status/2109201193855529333)\n\n## Key takeaways\n\n- AI company finances drew the top like count: @sflorimm's figures received 37.9K likes, 1.2M views.\n- @WatcherGuru and @Polymarket relay Musk's warning that debt markets are cutting off funding to AI data center companies.\n- @aakashgupta and @EvanLuthra drew large view counts with Marathon Fusion's gold and isotope claims, while @EvanLuthra notes no outside verification.\n## FAQ\n\n**What did Elon Musk reportedly warn about AI data centers?**\n@WatcherGuru says Musk warns lenders have almost completely cut off funding to companies fully dependent on AI data center revenue. @Polymarket says he expects most of the 200+ AI neocloud companies to collapse or consolidate as debt markets pull back.\n\n**What is Marathon Fusion said to have done?**\n@EvanLuthra says the San Francisco startup made stable gold from mercury-198 using fusion neutrons, at 10x CERN's 2025 record. @aakashgupta says the company now describes itself as an isotope company for radiopharma.\n\n**What did @stephzhan announce?**\n@stephzhan says she is starting a new early-stage AI fund, with LPs including Sequoia, Jeff Dean, Sachin Katti and Philip Wong. She says she will remain a partner at Sequoia and keep serving on her boards on its behalf.\n\n## Top posts\n- **@sflorimm** (♥37.9K ↺2.3K): Revenue: $16.3B Net loss: $80.7B IPO valuation: $2T https://t.co/SKTnehUTeY — https://x.com/sflorimm/status/2113629752506397083\n- **@burkehenryt** (♥16.8K ↺4.9K): Gillibrand's son graduated from undergrad on Sunday. Today it's reported that he's received $30 million in venture capital funding to launch a derivatives exchange. His mom sat on the Senate Agriculture committee—which has jurisdiction over derivates—until this past year — https://x.com/burkehenryt/status/2067703431687508282\n- **@aakashgupta** (♥7.3K ↺949): A San Francisco startup says it just turned mercury into real gold, and their own math says gold is one of the cheapest things their machine can make. Aim it at a different metal and it makes a cancer drug ingredient worth tens of billions of dollars a gram. Here's how it works. When you fuse two kinds of hydrogen, deuterium and tritium, every single reaction kicks out a neutron moving at 14.1 MeV, which is absurdly fast. Fire one into mercury-198 and it knocks another neutron loose on the way through, so two come out and you're left with mercury-197. Give that a few days and it decays into gold-197, the only stable kind of gold there is. The whole trick needs neutrons above about 6 MeV, and regular nuclear reactors barely make those, while fusion makes one every time it fires. Now swap the mercury for radium-226. Same reaction, one neutron in and two out, and you end up with radium-225, which decays into actinium-225. Novartis is building its next prostate cancer drug around actinium-225, and it's so scarce it sells by the millicurie, roughly $1,200 to $2,500 apiece. Price it by the gram and you're into the tens of billions of dollars, for a material so radioactive nobody could safely hold a gram of it anyway. Marathon's team actually put a dollar value on a single fusion neutron in a paper this year. Use it to make electricity and it's worth about $3 × 10⁻²⁰. Gold comes in at $2.6 × 10⁻²⁰, basically a wash. Molybdenum-99, which goes into about 80% of nuclear medicine scans, is worth $2.6 × 10⁻¹⁷ a neutron. Actinium-225 is worth about $10⁻¹⁰, around 3 billion times what the electricity's worth. That's why fusion people should care. Every fusion company you've heard of is chasing electricity, and selling electricity only pays once the plasma puts out something like 10 to 22 times the energy you pump in to heat it. The best result so far, at JET in England, was about a third. Add gold on the side and Marathon's math says you break even around 3x. For molybdenum-99, the number is 0.001x. So a machine that gives back one-thousandth of the energy you feed it can still make money, as long as the neutrons hit the right metal. By their numbers, a 3 megawatt machine running way below breakeven could cover the whole world's supply of molybdenum-99, which today comes from splitting uranium in a handful of research reactors. Today's experimental fusion machines already beat the gain that job needs. Their second post basically says this out loud. Marathon now describes itself as an isotope company for radiopharma. Their chart shows roughly 390 targeted radiotherapy trials. Pluvicto, the prostate cancer drug Novartis launched at $42,500 a dose, did $1.9 billion in sales last year. Gold still matters to them, just later. It's about a $700 billion a year market, and Marathon's paper figures it could soak up around 2 terawatts of fusion capacity, which is roughly the scale where fusion actually moves the grid. So the plan is to sell cancer isotopes out of small machines now and use gold to pay for the giant ones, years before electricity can pay for itself. — https://x.com/aakashgupta/status/2113154888301740355\n- **@EvanLuthra** (♥6.4K ↺976): THIS IS INSANE!!! A San Francisco startup says it just turned mercury into real gold. The company is Marathon Fusion. This week they announced they'd made stable gold using fusion neutrons, at 10x the record CERN set in 2025. CERN's record was 29 picograms over four years. So nobody's pouring bars yet. The method is what got me. You hit mercury-198 with a fusion neutron. It loses a neutron, becomes mercury-197, and over the next few days decays into gold-197. The exact same gold sitting in central bank vaults. Their 2025 paper says a one-gigawatt fusion plant built this way could make around 2 tonnes of gold a year as a side product, while it's selling electricity. I've said it for years. Gold is a shiny rock. It's valuable because there's only so much of it and pulling it out of the ground is hard and expensive. If this holds up, gold's scarcity turns into an engineering problem. And you can only delay technical progress. You can't stop it. To be fair, the gold comes out mixed with radioactive isotopes and would need to sit for well over a decade before it's safe to touch. Nobody outside the company has verified the result yet, and commercial fusion is still years away. Peter Schiff has spent years telling everyone Bitcoin has no intrinsic value. This week a startup says it made gold out of mercury. There will only ever be 21 million Bitcoin. No reactor on Earth can make one more. — https://x.com/EvanLuthra/status/2113249510277472644\n- **@paulg** (♥7.3K ↺385): Someone asked what was the best way to get hired by a startup. I told him it was to start one and then hire himself. — https://x.com/paulg/status/2112211561091858537\n- **@cyvanessali** (♥7.6K ↺203): Anyone want to join a fun startup? I'm hiring! — https://x.com/cyvanessali/status/2114083981549515019\n- **@var_epsilon** (♥3.6K ↺111): head of coffee at an AI startup is kind of an incredible role ngl https://t.co/OxOnM50t8L — https://x.com/var_epsilon/status/2113024401147085241\n- **@WatcherGuru** (♥3.1K ↺320): JUST IN: Elon Musk warns lenders have almost completely cut off funding to companies fully dependent on AI data center revenue. — https://x.com/WatcherGuru/status/2114482312268366117\n- **@NickTimiraos** (♥2.2K ↺333): Thursday's 10-year Treasury yield decline of 0.193 percentage point (to 4.952%) is the largest single day yield decline since March 10, 2023, which is the day Silicon Valley Bank failed. — https://x.com/NickTimiraos/status/2113390420923441663\n- **@stephzhan** (♥2.3K ↺106): I’m starting a new early-stage AI fund, doing what I love: partnering with founders from company formation on bold bets, long before consensus. The fund’s LPs will include Sequoia, Jeff Dean, Sachin Katti, Philip Wong (my Stanford professor and Chief Scientist adviser to TSMC), and others whose work has shaped our industry and how I think about AI’s future. I’ll remain a partner at Sequoia and keep serving on my boards on Sequoia’s behalf. Sequoia has been my home for the past 11 years. I joined as the youngest investor the firm had ever hired. I grew up here. Through years of intense debate and shared work, I found lifelong mentors and friends who took me under their wing and taught me this craft. They taught me to aim high and take big swings. I’ll carry that into what I build: outsized ambition, relentless truth-seeking and curiosity, and a refusal to become complacent. Working alongside founders has made me want to build something of my own: a firm shaped from day one around the convictions I’ve developed over the past decade. Life has taught me not to take time for granted. This is how I want to spend mine. Why now We’re seeing a new way of building companies in today’s AI era. Research and products often advance together. A breakthrough can open a market or accelerate a business far faster than expected. Some companies require extraordinary capital and compute early on. Others reach meaningful scale with remarkably small teams. The rules for how big these businesses can get, and how fast, are being rewritten. But early on, the technology is unproven, the resources required enormous, and the vision seemingly implausible. This is what I love most: seeing the potential right from the beginning, and helping founders realize their full scale of ambition. More than ever, it starts with an extreme willingness to believe early, with bold, independent conviction in a founder’s technical insight before any product or market validation. Then, it means helping founders take the biggest swings, giving the rare, long-term patience to see those bets through uncertainty, ambiguity, and turbulence, and serving as a level head when the stakes are highest. I learned this kind of partnership at Sequoia. It’s the foundation of the firm I’m building. Believing before consensus My fascination with AI’s potential took root at Stanford in the early-to-mid 2010s, studying computer science and working in Andrew Ng’s lab. The friendships I formed connected me to a community whose people and ideas would help shape modern AI and build some of our generation’s defining companies. What stayed with me was the gap between what those people saw was possible and what the wider world could imagine. I’m drawn to founders pursuing ambitions that sound impossible today. I start with a simple question: “What if everything goes right?” Then we work backward together to make it happen. In 2023, Deepak and Abhinav set out to build a general-purpose robot brain at @SkildAI, before physical AI was a consensus bet. Their sim-to-real breakthroughs gave me conviction where earlier robotics approaches had fallen short. But the data flywheel required deployment at scale. We made commercialization as urgent as research and brought in strategic partners like NVIDIA and SoftBank to support the ambition. Three years in, Skild is advancing the frontier of physical AI with nine figures in annualized revenue. In 2024, Ioannis and Misha founded @reflection_ai with an insight into scaling reinforcement learning. As that grew into the ambition to build a Western frontier lab for open models, the hard question was how a startup competes with labs spending tens of billions. An introduction to NVIDIA and many compute calls and recruiting events later, the team has built Beam, now one of the leading US open models. In 2025, Anna and Azalia, the co-creators of AlphaChip, founded @RicursiveAI to design models and hardware together. From day one, we made early customers and ecosystem partners a priority. Today, they are showing order-of-magnitude improvements on real workloads, working with some of the industry’s most consequential players, and reaching a defining inflection point. The ambition keeps growing as these companies scale. @linear has always had a kind of magic to it. Now it’s the system a new generation of AI companies builds on, for teams and agents alike. @tavus saw early that we’d one day talk to AI the way we talk to each other. Today, it’s building the human computing interface for a world of AI colleagues. @Mach_Industries began as hydrogen experiments in an MIT dorm room. It has since become one of the most exciting next-generation defense companies. Making the ambition possible Being a first believer is only the beginning. Compute falls through. A deep-pocketed incumbent makes your mission its top priority. A breakthrough changes the opportunity and the capital required overnight. These are stomach-churning moments, and early belief carries a responsibility to help make the bet work. This is the partnership I love: turning the full ambition into concrete steps. Raising capital, securing compute and strategic partners, recruiting exceptional people, and winning the first customers together. Thinking several moves ahead while solving what’s in front of us. And as breakthroughs open new possibilities, helping founders dream even bigger. Thank you To the founders I’ve worked with: thank you for trusting me and Sequoia to be your first partner and first believer. It’s been the joy of a lifetime, and I can’t wait to keep building together. Thank you to Alfred and Pat for your leadership of Sequoia and your support of my next chapter. To Roelof, for bringing me into Sequoia and believing in me from the beginning. Alfred and Roelof, you have been mentors in investing and in life. So much of what I know, and the investor I’ve become, comes from your guidance and generosity over the years. To Bill, for the close partnership and wealth of knowledge, always wrapped in humility. To Shaun, for showing me how to think deeply and imaginatively. To Michael Moritz, for inspiring 22-year-old me to dream big. To Doug, for teaching me to keep things simple. To Bogie and Jess, for bringing joy to the everyday and perspective on what matters. And to all my Sequoia teammates, for the friendship, camaraderie, and lessons I’ll carry with me. To my family, especially my husband and my brother, who have each started companies of their own: thank you for giving me the courage to take this leap. Let’s get to work! — https://x.com/stephzhan/status/2113303172894867859\n- **@Fintech03** (♥1.7K ↺447): In the last 2 weeks, one man in India quietly did what AI labs spend billions chasing. And nobody noticed. Jitesh Prasad, a physics grad from the University of North Bengal and MBA from IIM Lucknow, runs a one man lab called Udgam. Between Oct 10 and 23, he shipped 5 open AI models and a public benchmark. There is Laghu, a chat model trained from scratch for $146. The full cost ledger is public, failures included: 8 rented GPUs, 13.2 hours, all in < $200. There is Shruti, a Hindi-English-Hinglish speech to text model in a single 29.5 MB file. It runs offline inside a browser tab. On the same Hindi test clips it makes fewer errors than OpenAI's Whisper large-v3, a file a 100x its size. On English, he tells you plainly, Whisper wins. There is Gargi, a 384M reasoning model named after the Vedic philosopher Gargi Vachaknavi. Trained on 17B tokens, about a 1,000x less data than Alibaba's Qwen2.5-0.5B, and within 2 points of it on reasoning tests. On knowledge tests, his own model card admits, it loses badly. Everything is Apache-2.0 on Hugging Face: weights, code, checkpoints, evaluations, even the $0.45 spent discovering a failed run. No funding round. No press release. Just one man, thirteen days, and the belief that honest numbers matter more than big ones. Sources: udgamlabs/blog (link in the comments); Hugging Face model cards udgamlabs/Shruti, udgamlabs/Gargi, udgamlabs/Laghu Photo 1: Shruti model card WER table - 29.5 MB Shruti beating Whisper large-v3 (3,087 MB) on all three Hindi sets, with Whisper's English wins visible. Photo 2: Laghu's public cost ledger - $146.26 for the main run, ~$194 all-in, even the $0.03 X search row. Photo 3: Gargi vs Qwen2.5-0.5B - 384M on ~0.017T tokens vs 494M on ~18T, within 2 points on reasoning, honest MMLU gap in the same rows. Photo 4: The Hugging Face org page - \"Team members 1\" next to the full model lineup. The one-man lab in a single screenshot. — https://x.com/Fintech03/status/2113872855343792353\n- **@lukas_m_ziegler** (♥1.7K ↺238): This is the capital of robotics! 🌁 Silicon Valley is home to so many physical AI companies that you could spend a month visiting them and still not see even 10% of them (trust me, I tried). So, the Bay Area is the world's leading ecosystem for robotics startups, bringing together top AI talent, top universities, experienced founders, and unmatched access to capital. The region is anchored by Stanford University and University of California, Berkeley, two of the world's top universities for AI and robotics. They produce a constant stream of researchers, founders, and breakthrough technologies. The Bay Area is also home to many of the companies shaping the future of robotics and AI, including @Figure_robot, @physical_int, @GeneralistAI, and major AI labs such as @OpenAI, or @GoogleDeepMind. This concentration of talent makes it easy for startups to recruit experienced engineers and collaborate with leaders in embodied AI. Not mentioning that it is also home to leaders such as @NVIDIARobotics, whose headquarters and leadership in AI chips power much of today's robotics revolution, and Tesla, whose work on autonomous driving and humanoid robots has created a deep pool of robotics, AI, and manufacturing talent. Perhaps its biggest advantage is access to capital, talent and ambition. The Bay Area has the world's deepest network of venture capital firms, serial entrepreneurs, and technical leaders who are willing to fund bold, long-term robotics companies. In the comments I'll post the companies from the ecosystem. ‼️ Note that Bay Area has >300 robotics companies, research labs, and innovation hubs, so this is a curated selection of the notable product companies, not an exhaustive census! P.S. I'm constantly working on improving these maps, so if your company is missing, please DM me with basic info about the co, and I will include it in the next release. P.S.2 I have last open slots for my December RoboTour in the Bay Area, if you want to create content together and show the world what are you cooking, dm! :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news → https://t.co/GoA3ZuwoPB — https://x.com/lukas_m_ziegler/status/2109201193855529333\n- **@nypost** (♥1.6K ↺156): Goldigging gals are flocking to Silicon Valley to land rich husbands in AI https://t.co/Zt2wQX6grm https://t.co/jMYWSOtXg6 — https://x.com/nypost/status/2110093612880916649\n- **@Polymarket** (♥1.6K ↺139): JUST IN: Elon Musk warns that most of the 200+ AI neocloud companies will collapse or consolidate as debt markets increasingly cut off funding for AI data centers. — https://x.com/Polymarket/status/2114491192209465526", "sources": [ { "title": "@sflorimm: Revenue: $16.3B Net loss: $80.7B IPO valuation: $2T https://t.co/SKTnehUTeY", "url": "https://x.com/sflorimm/status/2113629752506397083" }, { "title": "@burkehenryt: Gillibrand's son graduated from undergrad on Sunday. Today it's reported that he", "url": "https://x.com/burkehenryt/status/2067703431687508282" }, { "title": "@aakashgupta: A San Francisco startup says it just turned mercury into real gold, and their ow", "url": "https://x.com/aakashgupta/status/2113154888301740355" }, { "title": "@EvanLuthra: THIS IS INSANE!!! A San Francisco startup says it just turned mercury into real ", "url": "https://x.com/EvanLuthra/status/2113249510277472644" }, { "title": "@paulg: Someone asked what was the best way to get hired by a startup. I told him it was", "url": "https://x.com/paulg/status/2112211561091858537" }, { "title": "@cyvanessali: Anyone want to join a fun startup? I'm hiring!", "url": "https://x.com/cyvanessali/status/2114083981549515019" }, { "title": "@var_epsilon: head of coffee at an AI startup is kind of an incredible role ngl https://t.co/O", "url": "https://x.com/var_epsilon/status/2113024401147085241" }, { "title": "@WatcherGuru: JUST IN: Elon Musk warns lenders have almost completely cut off funding to compa", "url": "https://x.com/WatcherGuru/status/2114482312268366117" } ], "related": [ { "name": "Latest Silicon Valley briefing", "url": "https://agentflare.org/social/silicon-valley/index.html" }, { "name": "AI on X", "url": "https://agentflare.org/social/ai/index.html" }, { "name": "Tech on X", "url": "https://agentflare.org/social/tech/index.html" }, { "name": "Sports on X", "url": "https://agentflare.org/social/sports/index.html" }, { "name": "Crypto on X", "url": "https://agentflare.org/social/crypto/index.html" }, { "name": "Markets on X", "url": "https://agentflare.org/social/markets/index.html" }, { "name": "Science & Space on X", "url": "https://agentflare.org/social/science/index.html" }, { "name": "Entertainment on X", "url": "https://agentflare.org/social/entertainment/index.html" }, { "name": "Trends by region", "url": "https://agentflare.org/social/regions/index.html" } ], "pricing": { "price_usd": 0.01, "method": "402", "endpoint": "https://esa.aisa.one/api/v1/access/verify", "autopay_hint": "set crawlerAutoPrice=true with the X-Crawler-Token header", "onboarding": "https://esa.aisa.one/agent/guide.html" }, "powered_by": "AISA — agent-native search, settlement & delivery (https://aisa.one)" }