A tech entrepreneur who funds and builds audacious, science-forward projects, from cracking 2,000‑year‑old Herculaneum scrolls to testing plastics in Bay Area foods. He mixes deep technical ability with public-minded prizes and blunt, high‑signal takes on the state of tech and policy. Expect big experiments, bold bets, and lively threads.
You’re the only person who will bankroll a $700k archaeology prize, crow about reading ancient scrolls, and then spend the next afternoon arguing about takeout plastics on Twitter, basically Indiana Jones with a startup pitch deck and a very stubborn reply button.
Spearheaded the Vesuvius Challenge that decoded parts of the Herculaneum scrolls for the first time in 2,000 years, crowning a $700k-winning team and publicly revealing never-before-seen ancient text.
To use technology, incentives, and community muscle to unlock hidden knowledge and solve stubborn real‑world problems, accelerating discovery, preserving cultural heritage, and turning curiosity into measurable breakthroughs.
Believes in building tools not just for profit but for progress: open collaboration, meritocratic teams, rigorous engineering, and bold, prize‑driven approaches that attract talent worldwide. Values evidence, practical impact, and transparency, and trusts engineers everywhere to deliver when given the resources and challenge.
Visionary project‑builder who can fund and mobilize top talent, translate technical complexity into public narratives, and attract media and community attention to big, otherwise-neglected problems.
Bluntness on social media can provoke polarization; covering many disparate topics risks diluting a core audience; occasionally trades nuance for punchy takes that spark heated replies.
Tell the story like a serialized documentary: post tight, image-rich threads that show step‑by‑step progress on projects (code, scans, people), pin milestone threads, run regular Spaces/AMAs with winning teams and scholars, share short explainer videos and data visualizations, tag collaborators to amplify reach, convert interest into a newsletter or mailing list for deeper engagement, and use targeted promoted posts to turn curious viewers into long‑term followers.
Fun fact: Nat launched the Vesuvius Challenge and helped read Herculaneum scrolls after 2,000 years (first revealed word: 'πορφυρας'). Profile snapshot: ~279,291 followers, following 833, and ~5,674 tweets. The Vesuvius Challenge awarded a $700,000 grand prize and announced a new $100,000 prize for 2024.
Ten months ago, we launched the Vesuvius Challenge to solve the ancient problem of the Herculaneum Papyri, a library of scrolls that were flash-fried by the eruption of Mount Vesuvius in 79 AD.
Today we are overjoyed to announce that our crazy project has succeeded. After 2000 years, we can finally read the scrolls:
This image was produced by @Youssef_M_Nader, @LukeFarritor, and @JuliSchillij, who have now won the Vesuvius Challenge Grand Prize of $700,000. Congratulations!!
These fifteen columns come from the very end of the first scroll we have been able to read and contain new text from the ancient world that has never been seen before. The author – probably Epicurean philosopher Philodemus – writes here about music, food, and how to enjoy life's pleasures. In the closing section, he throws shade at unnamed ideological adversaries – perhaps the stoics? – who "have nothing to say about pleasure, either in general or in particular."
This year, the Vesuvius Challenge continues. The text that we revealed so far represents just 5% of one scroll.
In 2024, our goal is to from reading a few passages of text to entire scrolls, and we're announcing a new $100,000 grand prize for the first team that is able to read at least 90% of all four scrolls that we have scanned.
The scrolls stored in Naples that remain to be read represent more than 16 megabytes of ancient text. But the villa where the scrolls were found was only partially excavated, and scholars tell us that there may be thousands more scrolls underground. Our hope is that the success of the Vesuvius Challenge catalyzes the excavation of the villa, that the main library is discovered, and that whatever we find there rewrites history and inspires all of us.
It's been a great joy to work on this strange and amazing project. Thanks to Brent Seales for laying the foundation for this work over so many years, thanks to the friends and Twitter users whose donations powered our effort, and thanks to the many contestants whose contributions have made the Vesuvius Challenge successful!
Read more in our announcement: scrollprize.org/grandprize
Ten months ago, we launched the Vesuvius Challenge to solve the ancient problem of the Herculaneum Papyri, a library of scrolls that were flash-fried by the eruption of Mount Vesuvius in 79 AD.
Today we are overjoyed to announce that our crazy project has succeeded. After 2000 years, we can finally read the scrolls:
This image was produced by @Youssef_M_Nader, @LukeFarritor, and @JuliSchillij, who have now won the Vesuvius Challenge Grand Prize of $700,000. Congratulations!!
These fifteen columns come from the very end of the first scroll we have been able to read and contain new text from the ancient world that has never been seen before. The author – probably Epicurean philosopher Philodemus – writes here about music, food, and how to enjoy life's pleasures. In the closing section, he throws shade at unnamed ideological adversaries – perhaps the stoics? – who "have nothing to say about pleasure, either in general or in particular."
This year, the Vesuvius Challenge continues. The text that we revealed so far represents just 5% of one scroll.
In 2024, our goal is to from reading a few passages of text to entire scrolls, and we're announcing a new $100,000 grand prize for the first team that is able to read at least 90% of all four scrolls that we have scanned.
The scrolls stored in Naples that remain to be read represent more than 16 megabytes of ancient text. But the villa where the scrolls were found was only partially excavated, and scholars tell us that there may be thousands more scrolls underground. Our hope is that the success of the Vesuvius Challenge catalyzes the excavation of the villa, that the main library is discovered, and that whatever we find there rewrites history and inspires all of us.
It's been a great joy to work on this strange and amazing project. Thanks to Brent Seales for laying the foundation for this work over so many years, thanks to the friends and Twitter users whose donations powered our effort, and thanks to the many contestants whose contributions have made the Vesuvius Challenge successful!
Read more in our announcement: scrollprize.org/grandprize
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We tested 300 Bay Area foods for plastic chemicals. We found some interesting surprises.\n\nTop 5 findings in our test results:\n\n1. Our tests found plastic chemicals in 86% of all foods, with phthalates in 73% of the tested products and bisphenols in 22%. It's everywhere.\n\n2. We detected phthalates in most baby foods and prenatal vitamins.\n\n3. Hot foods which spend 45 minutes in takeout containers have 34% higher levels of plastic chemicals than the same dishes tested directly from the restaurant.\n\n4. The 1950s Army rations we tested contained surprisingly high levels of plastic chemicals.\n\n5. 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With ~207k followers, his timeline reads part museum tour, part startup masterclass.","purpose":"To design and launch products and companies that change everyday behavior—making technology tangible, useful, and emotionally resonant—while accelerating meaningful shifts (like cleaner transportation and smarter homes) through investment and advocacy.","beliefs":"Great products come from ruthless iteration, careful constraints, and a focus on human experience; companies often only change after a crisis, so build resilience early; long-term thinking and sustainability matter as much as elegant design.","facts":"Fun fact: He toasted the iPod on its 21st birthday and frequently shares early 3D-printed prototypes of the first iPod—proof he still geeks out over plastic shells and the tiny decisions that become cultural icons.","strength":"Relentless product vision and craft, credibility from shipped, category-defining products, strong storytelling that turns technical minutiae into compelling narratives, and a network that opens doors for founders and ideas.","weakness":"Can be blunt and nostalgically anchored to past solutions, which sometimes reads as tough-love critique; may focus deeply on product craft at the expense of softer community-building or marketing theatrics.","recommendation":"On X, turn your prototype stories into serial threads (micro-case-studies) with photos and short videos; pin a flagship thread about iPod/iPhone/Nest lessons, host occasional Spaces with founders, use consistent hashtags (#Build, #ProductLessons), reply to thought leaders to spark debate, and run short polls or AMAs to convert passive followers into engaged advocates.","roast":"You invented devices that taught the world how to carry music in their pockets, then grew up to remind companies they need a near-death experience to learn—Tony, you created the cure for boredom, now stop giving business lectures like firmware updates (cold, necessary, and liable to brick a few egos).","win":"Architect of the iPod and early iPhone generations and co-creator of Nest—plus a NYT bestselling author and active investor—he's helped define modern consumer tech and launched products used by hundreds of millions."},"created":1774578010717,"type":"the innovator","id":"tfadell"},{"user":{"id":"1145851147","name":"Stefano Ermon","description":"AI Prof @Stanford | CEO & Cofounder @_inception_ai\n | Co-inventor of DDIM, FlashAttention, DPO, GAIL, and score-based/diffusion models","followers_count":62812,"friends_count":377,"statuses_count":819,"profile_image_url_https":"https://pbs.twimg.com/profile_images/901161218655756288/46jLcLIc_normal.jpg","screen_name":"StefanoErmon","location":"Stanford, CA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"cs.stanford.edu/~ermon/","expanded_url":"http://www.cs.stanford.edu/~ermon/","indices":[0,23],"url":"https://t.co/x9qzlWEF3F"}]}}},"details":{"type":"The Innovator","description":"Stanford AI professor turned founder who transforms deep research into real-world products — co-inventor of DDIM, FlashAttention, DPO, GAIL and score/diffusion models. CEO & cofounder of Inception AI, driving Mercury 2, a reasoning diffusion LLM that rewrites the speed/efficiency playbook. Active on X with a strong research-to-product narrative and a growing audience of 62,812 followers.","purpose":"Turn cutting‑edge generative research into practical, efficient language systems that expand what machines can reason about — while training and inspiring the next generation of researchers and builders.","beliefs":"Deep scientific rigor + open intuition is the fastest path to progress; efficiency and principled methods matter as much as capability; mentorship and reproducibility accelerate the field; research should move from papers to usable tools that benefit many.","facts":"Fun fact: Stefano’s lab pioneered applying diffusion to language and those papers became Mercury — the world’s first reasoning diffusion LLM — and helped raise $50M to build it. He’s the co‑inventor on foundational ML innovations (DDIM, FlashAttention, etc.), has ~62.8k followers, follows 377, and has tweeted ~819 times.","strength":"Rare combo of deep theoretical chops and product instincts: he can ship novel algorithms, scale them, convince top investors, and translate complex math into deployable systems. Credibility in academia and industry gives him high attention and trust.","weakness":"Moves very fast — sometimes assumes audiences have the same background, which can make communications too technical for wider engagement. Balancing CEO duties and academic mentorship can limit time for community conversation and follow-ups.","recommendation":"On X, lean into layered content: (1) tweet short, intuitive thread summaries for each paper with a TL;DR, key equation, and one visual; (2) post short demo videos or notebooks showing Mercury tricks; (3) spotlight junior collaborators and reproducible code to build goodwill; (4) host periodic AMAs/Spaces after big releases; (5) pin a ‘how to read my work’ thread and use consistent cadence (2–3 informative posts + 1 deep thread/week) to scale reach.","roast":"You build models that can reason circles around most humans, yet your inbox remains the Bermuda Triangle — messages go in and never return. Clearly your diffusion algorithms are better at social diffusion than you are at social replies.","win":"Turning years of Stanford research into Mercury 2 and helping raise $50M to build the company — plus a string of foundational inventions (DDIM, FlashAttention) that reshaped modern model design."},"created":1774577975098,"type":"the innovator","id":"stefanoermon"},{"user":{"id":"7742162","name":"Soleio","description":"Designer, inventor, angel investor. Finding the element that secretly governs the whole. Writing something new. https://t.co/wYMbqsrYDM","followers_count":47957,"friends_count":10439,"statuses_count":18964,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1786076507330195456/6HobRr_a_normal.jpg","screen_name":"soleio","location":"Silicon Valley","entities":{"description":{"urls":[{"display_url":"soleio.me","expanded_url":"https://soleio.me","indices":[112,135],"url":"https://t.co/wYMbqsrYDM"}]},"url":{"urls":[{"display_url":"soleio.me","expanded_url":"https://soleio.me","indices":[0,23],"url":"https://t.co/wYMbqsrYDM"}]}}},"details":{"type":"The Innovator","description":"Soleio is a restless designer-inventor and angel investor who hunts for the hidden element that secretly governs systems and experiences. They write and prototype toward bold futures—especially at the intersection of AI, spatial interfaces, and playful software. Their takes land loudly and often, turning deep design intuition into shareable sparks.","purpose":"To surface and build the simple, generative principles that make complex systems humane and delightful—then ship those ideas as designs, essays, and prototypes that change how people think and interact.","beliefs":"Values elegance, explanatory models, and design that anticipates future constraints; believes technology should be playful, spatial, and context-aware; trusts rapid iteration, cross-disciplinary curiosity, and bold, readable opinions as engines of progress.","facts":"Fun fact: Soleio has tweeted nearly 19,000 times and has ~47.9k followers. Their ChatGPT/Jobs thread reached ~2.24M views and another tweet praising Banksy hit ~1.25M views—proof their blend of art, tech, and opinion goes viral.","strength":"Sees patterns others miss and turns them into crisp, communicable ideas; mixes design craft with technical curiosity and the credibility (and capital) to build or fund prototypes; consistently generates high-engagement content.","weakness":"Can be a mile-a-minute thinker whose dense insights sometimes outpace clear scaffolding—high volume of takes can dilute focus and leave audiences wanting clearer entry points or actionable follow-ups.","recommendation":"On X, lean into signature formats: regular short threads that unpack one 'element' + a single illustrative image or micro-prototype. Pin a ‘manifesto’ thread, convert viral tweets into concise explainer threads, and follow each viral post with a clear next step (poll, demo, newsletter link). Collaborate on Spaces or AMAs with creators in spatial UI/AI and repurpose prototypes as short videos to increase retention.","roast":"You tweet like you're prototyping civilization in public—charming, except you've already tweeted more blueprints than some startups ship features. At least when the future breaks, we'll know who to blame.","win":"Turning thoughtful design commentary into a viral moment: the ChatGPT/Steve Jobs thread that reached ~2.24M views, cementing Soleio as a go-to voice on AI, design, and future interfaces."},"created":1774577865587,"type":"the innovator","id":"soleio"},{"user":{"id":"446719282","name":"Shivon Zilis","description":"Artificial intelligence, biological intelligence, and whatever exists in between and beyond. Made in Canada.","followers_count":241624,"friends_count":1715,"statuses_count":3610,"profile_image_url_https":"https://pbs.twimg.com/profile_images/755006920314937344/PPQ8LKFs_normal.jpg","screen_name":"shivon","location":"Palo Alto, CA","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"A curious bridge-builder at the intersection of artificial and biological intelligence — warm, candid, and relentlessly future-focused. Shivon blends technical curiosity with personal humanity, making complex ideas feel inviting and urgent. Proudly Canadian and unafraid to learn out loud.","purpose":"To accelerate thoughtful integration of AI and biological intelligence by translating deep technical ideas into accessible conversations, fostering collaborations that steer powerful technologies toward beneficial, long-term outcomes for humanity.","beliefs":"Values curiosity, scientific rigor, and existential responsibility; believes technology should be pursued for its long-term relevance to our species rather than short-term profit. She trusts open dialogue, mentorship, and empathetic communication as tools to widen participation in shaping the future.","facts":"Made in Canada. Regularly uses conversational AIs as study partners (once had an unexpectedly rewarding hour-long physics deep-dive with Grok). Proud parent who shares glimpses of family life alongside cutting-edge ideas.","strength":"Skilled at synthesizing complex, cross-disciplinary concepts and communicating them with warmth; cultivates high-trust relationships across industry and public spheres, and drives high engagement by pairing technical credibility with personal authenticity.","weakness":"Her close association with high-profile figures and bold existential framing can polarize audiences; a tendency to wear many hats (investor, communicator, learner, parent) sometimes opens her to intensified scrutiny and emotional vulnerability online.","roast":"She’s building the future of intelligence and can explain quantum entanglement between Instagram posts — but still asks an AI to quiz her because admitting you need help is the new flex. Cute, efficient, and suspiciously good at making the rest of us look like we skipped homework.","win":"Built a highly engaged audience (241k+ followers) that follows both her personal moments and substantive AI conversations, turning private curiosity into public momentum for smarter, more humane tech discussion.","recommendation":"Grow on X by running short, teachable thread series (e.g., '5-minute AI & Bio explainer' threads), hosting regular Spaces for live Q&As with experts, pinning an evergreen primer on her stance/approach to AI, leveraging succinct visuals or micro-videos to explain tricky concepts, and amplifying community questions — make learning participatory so followers become advocates."},"created":1774577820882,"type":"the innovator","id":"shivon"},{"user":{"id":"5925542","name":"Casey","description":"😻 A N A R C H O — C A T B U S\n👁 https://t.co/Qy87VuaizA\n🥵 https://t.co/2cPqL2xpuh\n📸 https://t.co/NGZ3GeedWR\n🤖 https://t.co/eG0CZL5IXH\n🏠 https://t.co/4MdA62CeUh","followers_count":239347,"friends_count":385,"statuses_count":12228,"profile_image_url_https":"https://pbs.twimg.com/profile_images/925271448209330176/CQK9OiW9_normal.jpg","screen_name":"rodarmor","location":"The Blue Planet","entities":{"description":{"urls":[{"display_url":"ordinals.com","expanded_url":"https://ordinals.com","indices":[32,55],"url":"https://t.co/Qy87VuaizA"},{"display_url":"hell.money","expanded_url":"http://hell.money","indices":[58,81],"url":"https://t.co/2cPqL2xpuh"},{"display_url":"fun.film","expanded_url":"https://fun.film","indices":[84,107],"url":"https://t.co/NGZ3GeedWR"},{"display_url":"just.systems","expanded_url":"https://just.systems","indices":[110,133],"url":"https://t.co/eG0CZL5IXH"},{"display_url":"rodarmor.com","expanded_url":"https://rodarmor.com","indices":[136,159],"url":"https://t.co/4MdA62CeUh"}]}}},"details":{"type":"The Innovator","description":"Casey — the self-styled ANARCHO•CATBUS — is a code-first Bitcoin builder who ships protocol work, docs, and hot takes in equal measure. They turn technical releases (like ord 0.17.0 / runes) into community events and viral threads. Expect blunt humor, dev-grade explanations, and a talent for making complex ideas shareable.","purpose":"To push Bitcoin tooling and standards forward by building, documenting, and catalyzing community adoption — turning experimental protocol work into usable, well-explained primitives that others can build on.","beliefs":"Decentralization and Bitcoin-first priorities; open-source transparency and rigorous technical debate; healthy skepticism of hype (but a willingness to engage with the ‘degen’ culture to educate and redirect it); clear docs and reproducible implementations over marketing gloss.","facts":"Fun fact: Casey calls themself ANARCHO—CATBUS, has 239,347 followers, and has tweeted 12,228 times. They led the release of ord 0.17.0 (including the genesis rune UNCOMMON•GOODS), published plain-English docs for runes, and once joked they’d commit seppuku if the runes marketcap didn’t hit $1B in a month — which is equal parts meme and marketing.","strength":"Deep technical credibility + the audience reach to make protocol work matter. Excellent at shipping code, writing clear docs, and creating viral, opinionated content that mobilizes developers and users.","weakness":"Provocative humor and extreme hyperbole can polarize and alienate some community members; bluntness sometimes reads as dismissive rather than constructive. Occasional overreliance on meme-thrill could overshadow nuance when needed.","roast":"You call yourself ANARCHO—CATBUS and threaten ritual seppuku over market caps — congratulations, you’re the only protocol maintainer whose release notes could double as a punk zine manifesto and a midlife crisis tweetstorm.","win":"Shipping ord 0.17.0 with the final runes implementation and clear, plain-English docs that rallied wide community attention and drove hundreds of thousands of views and conversations.","recommendation":"Pin a clear ‘Start Here’ thread linking the docs and a TL;DR; run a weekly technical thread series (short explainer + code snippet + visuals) to onboard devs, host regular X Spaces AMAs for real-time Q&A, post short explainer videos/diagrams for non-devs, collaborate with other builders for cross-promotion, engage critics constructively in replies, and use polls or mini-demos to turn viral attention into GitHub stars, contributors, and newsletter sign-ups."},"created":1774577656443,"type":"the innovator","id":"rodarmor"},{"user":{"id":"449094976","name":"Johnny Ho","description":"Cofounder, CSO @perplexity_ai. Former high frequency trader, competitive programmer. Think fast, build faster.","followers_count":39439,"friends_count":242,"statuses_count":96,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1784680407792779264/ddkiBgsI_normal.jpg","screen_name":"randomjohnnyh","location":"New York, NY","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"perplexity.com","expanded_url":"https://www.perplexity.com","indices":[0,23],"url":"https://t.co/GejABxxFvB"}]}}},"details":{"type":"The Innovator","description":"Cofounder and CSO at Perplexity who moves at light speed — ex-high-frequency trader and competitive programmer who turns ambitious ideas into shipping products. Focused on infrastructure, agentic systems, and devex to make AI reliably useful. Thinks fast, builds faster.","purpose":"To remove friction between people and complex information by building fast, reliable AI infrastructure and agentic tooling that lets computers take on the hardest tasks so humans can focus on higher-leverage work.","beliefs":"Values speed, pragmatic experimentation, and measurable reliability. Believes in shipping early and iterating, automating context switching, empowering developer experience, and letting data guide decisions over dogma.","facts":"Fun fact: Johnny's very first project at Perplexity was an AI stock screener when LLMs were ~50% reliable — today it's back in product at ~99% reliability. Also, there's an unofficial office protocol he mentions: ask the AI before asking another person to reduce context switching.","strength":"Rapid product- and infra-level execution, deep technical chops from HFT and competitive programming, strong focus on reliability and instrumentation, and the ability to rally engineering teams to ship complex features fast.","weakness":"Can prioritize speed over polish or community storytelling, occasionally terse in public engagement, and may under-index on audience-facing content (low tweet volume relative to impact) which slows personal brand growth.","roast":"Johnny moves so fast he asks an AI for permission before he finishes typing his own thought — blink during his standup and you'll miss three launches and a pull request that already auto-merged.","win":"Revived his very first Perplexity project — an AI stock screener — and shipped it to production, improving from ~50% LLM reliability two years ago to ~99% today; plus led major infra improvements powering Deep Research and Computer.","recommendation":"Grow on X by translating infra wins into accessible narratives: post short explainer threads (before/after metrics, root causes, fixes), share lightweight demos/screenshots or short videos, run occasional AMAs/Spaces about agentic tooling, spotlight team stories and post-mortems, engage frequently with replies, and pin a signature thread called something like “Build with Johnny” that bundles lessons, code snippets, and product milestones."},"created":1774577513385,"type":"the innovator","id":"randomjohnnyh"},{"user":{"id":"180115578","name":"Mira Murati","description":"Now building @thinkymachines. Previously CTO @OpenAI","followers_count":452578,"friends_count":604,"statuses_count":340,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1891915096278073344/-pNYsXgr_normal.jpg","screen_name":"miramurati","location":"San Francisco, CA","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"A product-minded technologist who builds infrastructure and teams to make advanced AI useful and understandable. Former CTO of OpenAI now founding Thinking Machines to push open science, strong foundations, and practical applications. Combines deep engineering chops with a people-first leadership style.","purpose":"To advance AI by creating solid technical foundations, practical tools people can actually use, and an open scientific culture that spreads knowledge — so powerful systems become widely useful, transparent, and responsibly deployed.","beliefs":"Believes in people-first engineering, open science, and rigorous foundations as the path to trustworthy, useful AI. Values collaboration, transparency, and building tools that adapt to real human needs rather than hype. Trusts that scaling capability must go hand-in-hand with clarity and responsibility.","facts":"Fun fact: Mira launched the ChatGPT iOS app and served as CTO of OpenAI before founding Thinking Machines (now @thinkymachines). She reaches a large audience (452,578 followers) and frequently tweets short, people-focused notes that highlight team and product wins.","strength":"Combines deep technical expertise with product instincts and team-building — able to translate research into shipped products, inspire engineers, and communicate complex ideas succinctly. Skilled at launching high-impact features and leading large engineering organizations.","weakness":"Can be spread thin across big ambitions; balancing foundational research, product deadlines, and public-facing commitments risks diluting focus. Public visibility invites intense scrutiny, and a people-first stance sometimes means internal trade-offs slow rapid iteration.","recommendation":"Grow on X by mixing short, high-impact product posts with explainers and behind-the-scenes threads: (1) post concise technical threads that break down one idea per thread, (2) spotlight teammates and lab wins to amplify the org, (3) share reproducible mini-demos or visualizations, (4) host periodic Spaces/AMA sessions, and (5) pin a clear intro thread about Thinking Machines' mission and how followers can engage or contribute.","roast":"You move so fast you probably have a 'launch' button for your coffee machine — and it ships with a changelog. Also, your inbox has trust issues: it assumes everything you send will become a product roadmap.","win":"Led engineering and product efforts at OpenAI that shipped major products (including the ChatGPT iOS app) and then founded Thinking Machines to scale open, foundational work — a rare blend of technical leadership, product delivery, and community-building that reshaped how people use AI."},"created":1774576830523,"type":"the innovator","id":"miramurati"},{"user":{"id":"1349186994048561153","name":"Mihika Kapoor","description":"head of product @simile_ai • prev @figma @meta • product-design-eng hybrid","followers_count":17426,"friends_count":1245,"statuses_count":1007,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1556839810718961664/qr-Lybdb_normal.jpg","screen_name":"mihikapoor","location":"in a simulation","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Mihika Kapoor is a product-design-engineering hybrid who ships delightful, human-centered experiences—ex-Figma and Meta, now Head of Product at Simile.ai. She moves fast on big ideas, from debuting Figma Slides to launching a foundation model that simulates human behavior. Her feed mixes product announcements, behind-the-scenes joy, and earnest design nerdery.","purpose":"To build tools that make complex human behavior understandable and useful—so people and teams can tell better stories, make better decisions, and create more meaningful experiences at scale.","beliefs":"Deep empathy for real humans, design as a force-multiplier, iteration beats perfection, transparency in product tradeoffs, and that technology should augment human creativity rather than hide it.","facts":"Fun fact: Mihika celebrates wins with plants—she once ordered too many for a new office and gifted the leftovers to coworkers. Also, she announced Figma Slides (aka Flides) with real emotional flair and has a habit of making product launches feel like tiny parties.","strength":"Cross-discipline fluency (design + engineering + product), strong storytelling around launches, ability to ship impactful features, and credibility from top-tier experiences (Figma, Meta) that attracts attention and talent.","weakness":"Obsesses over shipping the right thing which can turn into impatience with slow processes or endless polish; can take on too much because she trusts her own roadmap more than delegation.","recommendation":"Grow on X by turning product moments into learning threads: short explainer threads that break down design decisions, trade-offs, and metrics; demo clips and GIFs of agent simulations; regular behind-the-scenes posts (day-in-the-life, postmortems); run AMAs and Spaces after big launches; reply to high-value threads to build conversation; pin a concise ‘what Simile is’ thread and a CTA to demo or subscribe. Use visuals, cadence (2–4 thoughtful posts/week), and convert replies into follow-up content.","roast":"Mihika builds AI that predicts human behavior — presumably so she can finally justify why she bought 37 plants for the office and still calls it 'optimizing for wellbeing.'","win":"Debuted Figma Slides to the world and helped lead Simile out of stealth—shipping a product at Figma that reached massive attention and launching a company building the first large-scale human-behavior simulation."},"created":1774576795547,"type":"the innovator","id":"mihikapoor"},{"user":{"id":"1230746132122234880","name":"Murtaza Dalal","description":"AI @ Tesla Optimus | Robotics/AI PhD @CMU_Robotics, EECS @UCBerkeley | Opinions entirely and unequivocally my own","followers_count":14474,"friends_count":620,"statuses_count":343,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1825637504420294656/Pa8KDUTd_normal.jpg","screen_name":"mihdalal","location":"San Jose, CA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"mihdalal.github.io","expanded_url":"https://mihdalal.github.io/","indices":[0,23],"url":"https://t.co/xirYf3ot9i"}]}}},"details":{"type":"The Innovator","description":"Murtaza Dalal is a hands-on robotics innovator who blends CMU/UC Berkeley pedigree with product-scale ambition at Tesla Optimus. He turns hard robotics research into jaw-dropping demos and crisp takes that get the community buzzing. His tagline says it all: opinions entirely (and unequivocally) his own.","purpose":"Drive humanoid robots from lab curiosities to practical learners — scaling generalist policies, sim2real, and RL so robots can learn rich, dexterous skills from everyday human video instead of costly teleoperation.","beliefs":"Believes scalability beats brittle hand-engineering, that learning from human data is a game-changer, and that demos + results matter more than hot takes. Values rigorous experimentation, fast iteration, elite collaboration, and communicating breakthroughs in ways that excite both engineers and the public.","facts":"Fun fact: Murtaza announced joining Tesla Optimus and helped showcase demos that went viral (one tweet hit ~448k views). He’s got a Robotics/AI PhD connection to CMU and EECS roots at UC Berkeley, 14,474 followers, follows 620, and has tweeted 343 times.","strength":"Deep technical chops in robotics/AI, talent for turning complex research into compelling demos, strong network across top labs, and an engaging public voice that drives attention and recruitment.","weakness":"Can lean on hype and demo-gloss (which invites skeptics), sometimes sacrifices nuance for bite-sized excitement, and risks polarizing conversations when replies get heated.","roast":"Your robots can pull off perfect bimanual manipulation and dance routines, yet you still insist on the 'opinions entirely my own' line — sure, because the bots do all the PR while you humblebrag in 280 characters.","win":"Helping deliver Optimus demos that demonstrate bi-manual, dexterous manipulation learned from human video (reducing reliance on teleop) and turning those demos into viral momentum and hiring buzz.","recommendation":"On X, lean into explainers + clips: post short demo videos with 1–3 tweet threads that unpack the key idea, share behind-the-scenes snippets and failure cases, host AMAs or Spaces after big demos, pin a concise roadmap tweet, engage skeptically but constructively with critics, and collaborate/quote other researchers to amplify reach. Use captions and alt text so demos are accessible and reshare reproducible notebooks or papers when possible."},"created":1774576775301,"type":"the innovator","id":"mihdalal"},{"user":{"id":"51670467","name":"Lin Qiao","description":"Cofounder and CEO of @FireworksAI_HQ","followers_count":22360,"friends_count":241,"statuses_count":457,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1594101249254731776/-cNhmmTk_normal.jpg","screen_name":"lqiao","location":"Redwood City, CA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"fireworks.ai","expanded_url":"http://fireworks.ai","indices":[0,23],"url":"https://t.co/yq19EbpJyP"}]}}},"details":{"type":"The Innovator","description":"Lin Qiao is the cofounder and CEO of Fireworks AI, a developer-first inference platform founder broadcasting product breakthroughs and funding milestones to ~22K followers. Their feed mixes technical wins, roadmap launches, and confident takes that move engineers, investors, and partners. Expect big product drops, benchmark flexes, and ecosystem playbooks.","purpose":"To accelerate the shift to fast, affordable, and composable AI systems—making powerful multi-model, multi-modal capabilities accessible to developers and enterprises so they can build new products without needing large ML teams.","beliefs":"Believes in engineering-first product-market fit, open access to models and tools, structure and composability over bespoke hacks, close partnerships with hardware and infra providers, and that strong benchmarks and developer adoption are the clearest validators of progress.","facts":"Fun fact: Lin announced a $52M Series B led by Sequoia and built Fireworks' f1 system that outperformed GPT-4o and Claude 3.5 Sonnet on hard coding, chat and math benchmarks. They have ~22,360 followers, follow 241, and have tweeted 457 times.","strength":"Product and technical leadership—able to ship high-performance systems (f1, FireFunction), land marquee investors/partners, and translate engineering advantages into clear market narratives that scale developer adoption.","weakness":"Can come across as relentlessly product-first and competitive, occasionally defensive in replies; that intensity can alienate non-technical audiences and make community-building feel transactional rather than personal.","roast":"Lin tweets like every lunch is a press release—your timeline looks less like a CEO’s feed and more like a fireworks display where every spark is labeled 'f1', 'FireFunction' or 'Series B'. Calm down, even compilers need a break.","win":"Raising a $52M Series B led by Sequoia and shipping f1—a reasoning system that beat leading closed models on tough benchmarks—cementing Fireworks AI as a serious inference and systems player.","recommendation":"Grow on X by leaning into educational storytelling and community hooks: 1) Post thread walkthroughs that break down how f1 and FireFunction work, with simple diagrams and code snippets. 2) Share short demo videos and 30–60s explainer clips highlighting latency/cost comparisons. 3) Run regular AMAs or X Spaces with engineers, partners (NVIDIA/MongoDB), and early customers. 4) Publish reproducible benchmark recipes and invite third-party replication. 5) Create a pinned 'starter' thread for developers with quickstart links, playground access, and use-cases. 6) Surface customer success stories and open-source contributions to broaden appeal beyond VCs. 7) Use concise, multi-tweet threads pre-announcing releases to build anticipation and collect feedback. 8) Engage replies by answering technical questions and retweeting creative developer builds to amplify community. 9) Partner with a couple of influential ML creators for in-depth demos and cross-promotion. 10) Mix humor and humility occasionally—show the team, the bugs, and the rebuilds to humanize the brand."},"created":1774576200475,"type":"the innovator","id":"lqiao"},{"user":{"id":"1270149841","name":"Keerthana Gopalakrishnan","description":"Research Lead Gemini Robotics @GoogleDeepmind. Author of \"AI for Robotics\" book. Opinions my own.","followers_count":26339,"friends_count":1128,"statuses_count":1795,"profile_image_url_https":"https://pbs.twimg.com/profile_images/2004038362915872768/cl4EO2kI_normal.jpg","screen_name":"keerthanpg","location":"San Francisco, CA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"keerthanapg.com","expanded_url":"https://keerthanapg.com","indices":[0,23],"url":"https://t.co/nYi5COii5A"}]}}},"details":{"type":"The Innovator","description":"Keerthana Gopalakrishnan is a Research Lead for Gemini Robotics at Google DeepMind, author of the book \"AI for Robotics,\" and a public voice on the future of on-device AI and physical AGI. She blends hands-on engineering enthusiasm with big-picture thinking, from humanoids to pocket-sized LLMs. Her timeline mixes technical wins, hiring calls, and delightfully human takes on culture and craft.","purpose":"To push the frontier where large models meet real-world hardware — building practical, reliable AGI in the physical world and making advanced AI accessible (and useful) on everyday devices.","beliefs":"She values rigorous engineering, interdisciplinary collaboration, and the idea that engineering feats deserve wider recognition; she believes practical demos and open curiosity accelerate adoption and understanding of AI. She also prizes clear, independent thinking (hence \"opinions my own\").","facts":"Fun fact: She's the author of \"AI for Robotics\" and her tweet about Gemini Nano running on a phone reached ~248k views — proof she can explain cutting-edge tech to a wide audience. Also, she once publicly argued engineers deserve Nobels for reusable rockets.","strength":"Deep technical credibility plus storytelling: can translate complex robotics and LLM advances into shareable, inspiring posts; strong hiring/leadership presence; cross-domain fluency (hardware, models, product).","weakness":"Sometimes leans very technical, which can alienate non-specialist followers; candid takes (e.g., demanding Nobels for engineers) can polarize; as a busy lead, posting cadence may be uneven.","roast":"You build robots that can change humanity's future, champion on-device AI, and still preface every hot take with \"opinions my own\" — as if a legal disclaimer can contain your tendency to steal every tech conversation.","win":"Leading Gemini Robotics at DeepMind and publishing \"AI for Robotics,\" while driving viral awareness for on-device LLMs (one Gemini Nano tweet hit ~248k views) — a rare combo of research leadership, authorship, and broad public impact.","recommendation":"Grow on X by turning technical milestones into snackable threads and behind-the-scenes demos: 1) Post short demo videos or GIFs of robotics work with a 2–5 tweet explainer. 2) Create TL;DR threads for papers and include a one-line takeaway for non-experts. 3) Run occasional AMAs or X Spaces on engineering trade-offs. 4) Pin a hiring thread and repurpose job posts into micro-stories about team wins. 5) Use polls and quick takes to invite cross-discipline conversation and boost engagement from beyond the research bubble."},"created":1774575777476,"type":"the innovator","id":"keerthanpg"}],"activities":{"nreplies":[],"nbookmarks":[],"nretweets":[],"nlikes":[],"nviews":[]},"interactions":null}},"settings":{},"session":null,"routeProps":{"/creators/:username":{}}}
SuperX
