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TeslaBot Optimus AI Lead
302following34kfollowers
The Innovator
Julian Ibarz is the TeslaBot Optimus AI Lead who turns sci‑fi into sprint plans and prototype videos. He mixes deep technical chops with production-focused hustle, posting high-impact demos and candid program updates. His timeline reads like a progress report for the future of humanoid robotics.
Julian treats ‘prototype’ like a weekend hobby project, his idea of casual tweeting is casually teasing a robot that can fetch snacks while you argue with Yann on ML theory. He’s the kind of guy who sleeps with a torque wrench under his pillow and calls it R&D.
Shipped the first production-scale vision DNN at Google that automated Street View tasks, and now is leading Tesla’s Optimus AI toward production-ready humanoids, turning a research pipeline into real-world robotics demonstrations and a prototype production line.
To push humanoid robotics from lab demos into reliable, scalable products that help people, by rapidly iterating on autonomy, manipulation, and production engineering until robots can safely and usefully work alongside humans.
Believes in engineering-first progress: build fast, test in the real world, and iterate from failures; values scalability and manufacturability as much as algorithmic novelty; trusts that practical deployment is the fastest path to meaningful AI and robotics impact.
Combines deep research experience with production and manufacturing savvy; excellent at communicating concrete progress (high-engagement demo tweets); credible voice in both academia and industry; able to translate complex technical milestones into compelling short updates.
Can come off as overly confident or polarizing when debating peers; intense focus on engineering milestones may under-communicate broader safety/ethics context; occasional shorthand or inside-baseball posts can lose non-expert audiences.
On X: post short threaded breakdowns of each demo (problem → approach → failure modes → next steps), more behind-the-scenes clips from the production line, regular AMAs or Spaces to tackle critics live, and bite-sized explainers that translate technical metrics into everyday impact. Pin a highlight thread, use subtitles on demo videos, and engage top researchers and journalists in replies to amplify reach.
Fun fact: Julian helped launch the first production vision-based deep neural network at Google that automated Street View number detection, and today leads Optimus AI development at Tesla with prototype hands that can catch balls and robots that can dock, climb stairs, and hand out snacks. He has ~34k followers, follows 302 accounts, and has tweeted 387 times, so he’s prolific but selective.
I disagree with @ylecun on this. We have a pretty good idea at Tesla on how we can make general humanoids a reality very quickly.
Funny anecdote: Yann was advising me to launch what became the first production vision based deep neural network at Google. His feedback: use convs, made a big difference. That neural network was classifying whether a patch of Street View image contained a street number in 2013. This + the one that read the street number that landed in 2014 automated hundreds of years of human labor. Fun times then and fun times now. Learned a lot from Yann back then, great mentor.
I disagree with @ylecun on this. We have a pretty good idea at Tesla on how we can make general humanoids a reality very quickly.
Funny anecdote: Yann was advising me to launch what became the first production vision based deep neural network at Google. His feedback: use convs, made a big difference. That neural network was classifying whether a patch of Street View image contained a street number in 2013. This + the one that read the street number that landed in 2014 automated hundreds of years of human labor. Fun times then and fun times now. Learned a lot from Yann back then, great mentor.
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It's even faster and has much more degrees of freedom which will allow us to do many more tasks such as catching a ball which was almost impossible with the previous hand. The form factor is great too, so many motors that fit in such a slim forearm...","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,236],"lang":"en","quoted_tweet":{"id":"1986559105373176253","text":"First look at Tesla’s Optimus Production line.\n\nSignificantly larger Gen 3 production line coming in 2026. Tesla’s goal is $20k COGS per robot at scale. https://t.co/zAsLvw1UT9","full_text":"First look at Tesla’s Optimus Production line.\n\nSignificantly larger Gen 3 production line coming in 2026. 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The real scalable production line that will come online next year will not just be bigger, it will be completely different.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":1774141294863,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,205],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1846797392521167223","quoted_status_permalink":{"url":"https://t.co/Y7bJhOz7yT","expanded":"https://twitter.com/Tesla_Optimus/status/1846797392521167223","display":"x.com/Tesla_Optimus/…"},"retweeted":false,"fact_check":null,"id":"1846801329030934944","view_count":189185,"bookmark_count":187,"created_at":1729146723000,"favorite_count":3197,"quote_count":58,"reply_count":143,"retweet_count":348,"user_id_str":"114088702","conversation_id_str":"1846801329030934944","full_text":"Some updates on our autonomy capabilities in this video:\n* Can dock and charge itself\n* Navigate around humans\n* Carry a tray\n* Walk up stairs\n* Give snacks to humans\n\nNone of these shots are teleoperated.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,86],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1914781858706985363","quoted_status_permalink":{"url":"https://t.co/eKxnxyBoPf","expanded":"https://twitter.com/Tesla_Optimus/status/1914781858706985363","display":"x.com/Tesla_Optimus/…"},"retweeted":false,"fact_check":null,"id":"1914786606663471465","view_count":117134,"bookmark_count":59,"created_at":1745355676000,"favorite_count":2874,"quote_count":7,"reply_count":70,"retweet_count":165,"user_id_str":"114088702","conversation_id_str":"1914786606663471465","full_text":"Super excited about our new Optimus production line in Fremont. 2025 is gonna be wild.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[{"id_str":"48008938","indices":[16,23],"name":"Yann LeCun","screen_name":"ylecun"}]},"display_text_range":[0,279],"lang":"en","quoted_tweet":{"id":"1981623685459972487","text":"Meta's Chief AI Scientist Yann LeCun offers a critical take on the humanoid robot boom.\n\nSpeaking at MIT, LeCun claimed the \"big secret\" of the industry is that current companies \"have no idea\" how to make their robots \"smart enough to be generally useful.\"\n\nHe argues that while humanoids can be trained for narrow manufacturing tasks, a truly autonomous domestic robot is impossible without fundamental AI breakthroughs. 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We have a pretty good idea at Tesla on how we can make general humanoids a reality very quickly.\n\nFunny anecdote: Yann was advising me to launch what became the first production vision based deep neural network at Google. His feedback: use convs, made a big difference. That neural network was classifying whether a patch of Street View image contained a street number in 2013. This + the one that read the street number that landed in 2014 automated hundreds of years of human labor. Fun times then and fun times now. 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Join the fun, we're hiring folks interested in solving embodied AI across Robotaxi and Optimus.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":1774573314820,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,280],"lang":"en","quoted_tweet":{"id":"1992649962761670935","text":"Not to mention, these chips are heavily co-designed with the @Tesla_AI software teams to achieve incredible performance, while also beating by a large margin on perf per Watt and perf per dollar. \n\nFor instance, AI4 can process and understand a million pixels of streaming video within ~1 ms. This is only achievable because the software AND the hardware are designed together to achieve this performance point.","full_text":"Not to mention, these chips are heavily co-designed with the @Tesla_AI software teams to achieve incredible performance, while also beating by a large margin on perf per Watt and perf per dollar. \n\nFor instance, AI4 can process and understand a million pixels of streaming video within ~1 ms. This is only achievable because the software AND the hardware are designed together to achieve this performance point.","created_at":1763919747000,"author_id":"87657877","author":{"id":"87657877","name":"Ashok Elluswamy","username":"aelluswamy","screen_name":"aelluswamy","profile_image_url":"https://pbs.twimg.com/profile_images/1561153006891978754/hvZ3Tm0d_400x400.jpg","profile_image_url_https":"https://pbs.twimg.com/profile_images/1561153006891978754/hvZ3Tm0d_400x400.jpg","is_blue_verified":1},"public_metrics":{"like_count":9284,"retweet_count":899,"reply_count":377,"quote_count":104}},"fact_check":null,"id":"1992716418798727326","view_count":191292,"bookmark_count":141,"created_at":1763935591000,"favorite_count":2067,"quote_count":20,"reply_count":35,"retweet_count":146,"user_id_str":"114088702","conversation_id_str":"1992716418798727326","full_text":"The latency of our Autopilot computer which is used by both Optimus and FSD is, from photon hitting the sensor to it being processed by the neural net chip, extremely low. Everything is optimized, everything is hardware accelerated as much as possible, no software stack overhead, minimal image processing overhead. This is why the FSD stack is so reactive. This matters a lot for Optimus when we close the loop with vision.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":1774573314820,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,276],"lang":"en","quoted_tweet":{"id":"2014397578352226423","text":"Just started Tesla Robotaxi drives in Austin with no safety monitor in the car.\n\nCongrats to the @Tesla_AI team!\n\nIf you’re interested in solving real-world AI, which is likely to lead to AGI imo, join Tesla AI. Solving real-world AI for Optimus will be 100X harder than cars.","full_text":"Just started Tesla Robotaxi drives in Austin with no safety monitor in the car.\n\nCongrats to the @Tesla_AI team!\n\nIf you’re interested in solving real-world AI, which is likely to lead to AGI imo, join Tesla AI. 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Optimus is one of the hardest projects to work on right now that will likely have the biggest impact on human society for the next decades to come.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"rapidapi","fetched_at":1774573314820,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,193],"lang":"en","quoted_tweet":{"id":"2014398853991301538","text":"Robotaxi rides without any safety monitors are now publicly available in Austin.\n\nStarting with a few unsupervised vehicles mixed in with the broader robotaxi fleet with safety monitors, and the ratio will increase over time.","full_text":"Robotaxi rides without any safety monitors are now publicly available in Austin.\n\nStarting with a few unsupervised vehicles mixed in with the broader robotaxi fleet with safety monitors, and the ratio will increase over time.","created_at":1769105087000,"author_id":"87657877","author":{"id":"87657877","name":"Ashok Elluswamy","username":"aelluswamy","screen_name":"aelluswamy","profile_image_url":"https://pbs.twimg.com/profile_images/1561153006891978754/hvZ3Tm0d_400x400.jpg","profile_image_url_https":"https://pbs.twimg.com/profile_images/1561153006891978754/hvZ3Tm0d_400x400.jpg","is_blue_verified":1},"public_metrics":{"like_count":14111,"retweet_count":2090,"reply_count":1051,"quote_count":455}},"fact_check":null,"id":"2014406770442305949","view_count":62201,"bookmark_count":39,"created_at":1769106974000,"favorite_count":1771,"quote_count":5,"reply_count":51,"retweet_count":90,"user_id_str":"114088702","conversation_id_str":"2014406770442305949","full_text":"Robotaxi has scaled so far with safety drivers, now we're starting to scale with no safety drivers. Huge accomplishment by the team, excited to see how fast we can scale this service this year.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"rapidapi","fetched_at":1774573314820,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,83],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":true,"lang":"en","quoted_status_id_str":"1801373674345533908","quoted_status_permalink":{"url":"https://t.co/b1Xc1UVad6","expanded":"https://twitter.com/Tesla/status/1801373674345533908","display":"x.com/Tesla/status/1…"},"retweeted":false,"fact_check":null,"id":"1801815148489019676","view_count":147521,"bookmark_count":55,"created_at":1718421182000,"favorite_count":1561,"quote_count":11,"reply_count":135,"retweet_count":80,"user_id_str":"114088702","conversation_id_str":"1801815148489019676","full_text":"Two robots already in our factory! When do you guys think we'll get to 10 deployed?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,43],"lang":"en","quoted_tweet":{"id":"2000249076567404593","text":"And so it begins!","full_text":"And so it begins!","created_at":1765731517000,"author_id":"87657877","author":{"id":"87657877","name":"Ashok Elluswamy","username":"aelluswamy","screen_name":"aelluswamy","profile_image_url":"https://pbs.twimg.com/profile_images/1561153006891978754/hvZ3Tm0d_400x400.jpg","profile_image_url_https":"https://pbs.twimg.com/profile_images/1561153006891978754/hvZ3Tm0d_400x400.jpg","is_blue_verified":1},"public_metrics":{"like_count":16169,"retweet_count":2086,"reply_count":817,"quote_count":443}},"fact_check":null,"id":"2000270520399667556","view_count":93190,"bookmark_count":12,"created_at":1765736629000,"favorite_count":1469,"quote_count":3,"reply_count":10,"retweet_count":57,"user_id_str":"114088702","conversation_id_str":"2000270520399667556","full_text":"Unsupervised FSD scaling in 1, 2, 3.... go!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"rapidapi","fetched_at":1774573314820,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,273],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1787027808436330505","quoted_status_permalink":{"url":"https://t.co/3kJggzVmO1","expanded":"https://twitter.com/Tesla_Optimus/status/1787027808436330505","display":"x.com/Tesla_Optimus/…"},"retweeted":false,"fact_check":null,"id":"1787121019989504017","view_count":116010,"bookmark_count":68,"created_at":1714917828000,"favorite_count":1189,"quote_count":7,"reply_count":58,"retweet_count":75,"user_id_str":"114088702","conversation_id_str":"1787121019989504017","full_text":"Optimus Update\nWe improved the reliability of our learned behaviors across our fleet and decided to bring a few robots in the factory to perform a real useful task: sort batteries around. 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When do you guys think we'll get to 10 deployed?","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,236],"lang":"en","quoted_tweet":{"id":"1986559105373176253","text":"First look at Tesla’s Optimus Production line.\n\nSignificantly larger Gen 3 production line coming in 2026. Tesla’s goal is $20k COGS per robot at scale. https://t.co/zAsLvw1UT9","full_text":"First look at Tesla’s Optimus Production line.\n\nSignificantly larger Gen 3 production line coming in 2026. 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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"},{"user":{"id":"1390993543","name":"Katarina Batina","description":"Design Director @shop. Previously @classpass @artsy. Always Katarina never Kat.","followers_count":8306,"friends_count":2587,"statuses_count":3980,"profile_image_url_https":"https://pbs.twimg.com/profile_images/2001343603478552577/hOUqaypI_normal.jpg","screen_name":"katarinabatina","location":"Seattle, WA","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"katarinabatina.com","expanded_url":"http://katarinabatina.com","indices":[0,23],"url":"https://t.co/yPzkhJvAwG"}]}}},"details":{"type":"The Innovator","description":"Design Director at Shop who prototypes the future one elegant pixel (and prototype) at a time. Formerly at ClassPass and Artsy, she loves redesigning spaces, products, and workflows with striking attention to detail. Always Katarina — never Kat.","purpose":"To push product and physical design boundaries by creating elegant, surprising solutions that feel inevitable in hindsight — making everyday experiences more useful, beautiful, and delightful for people and brands.","beliefs":"Good design is a blend of craft, research, and relentless iteration; collaboration beats ego; detailed thinking scales across teams; real innovation comes from prototyping and shipping, not just theorizing.","facts":"Fun fact: she once designed a standing desk with no legs or interface that actually works (tweeted to ~457k views). She led Shop's web refresh and often shares behind-the-scenes office and product redesigns. Always signs as Katarina, never Kat.","strength":"Exceptional product and spatial design instincts, strong prototyping chops, high-status credibility (Design Director @Shop), ability to translate artful inspiration into pragmatic solutions, and an engaged audience receptive to visual process posts.","weakness":"Perfectionism can slow rollouts and make delegation tricky; deep focus on craft sometimes narrows the audience to design peers rather than broader product or business communities.","roast":"Katarina will redesign your desk, your homepage, and your sense of self-worth — then enlighten you with a three-slide framework while insisting you call her Katarina, not Kat. She’s the reason your office looks cooler than your apartment.","win":"Viral proof-of-concept: the legless standing desk tweet (hundreds of thousands of views) and leading Shop's recent web/design refresh — tangible projects that fused craft, product impact, and public recognition.","recommendation":"Grow on X by leaning into process: post short multi-tweet threads showing before→after with 3–5 step photos, prototype videos, and quick lessons learned; host occasional Spaces on product design; collaborate with product managers/engineers for cross-audience threads; reuse high-performing visuals into pinned threads and a monthly newsletter sign-up; and sprinkle in personality (the 'always Katarina' bit) to make the brand memorable."},"created":1774575749810,"type":"the innovator","id":"katarinabatina"},{"user":{"id":"702654540387127296","name":"Hayden Adams 🦄","description":"Invented the Uniswap protocol, Founder @Uniswap","followers_count":443136,"friends_count":642,"statuses_count":7492,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1988767491254857728/ISVZrouR_normal.jpg","screen_name":"haydenzadams","location":"Ethereum","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"uniswap.org","expanded_url":"https://uniswap.org/","indices":[0,23],"url":"https://t.co/AjUjSA2CZn"}]}}},"details":{"type":"The Innovator","description":"Hayden Adams 🦄 is the builder who turned a whiteboard experiment into Uniswap — a permissionless marketplace that’s processed over $2 trillion in volume. He blends technical rigor, product obsession, and unapologetic advocacy for DeFi. Expect sharp takes, viral threads, and a founder ready to defend the future of on‑chain finance.","purpose":"To democratize finance by building open, transparent, permissionless market infrastructure and to defend the right to innovate so others can build without gatekeepers. He wants to enable real economic access for anyone with an internet connection and prove that decentralized protocols can be safer and fairer than legacy systems.","beliefs":"Strong faith in open-source, transparency, and on‑chain price discovery; skepticism of opaque legacy institutions; conviction that technology and community should protect consumers more effectively than closed incumbents; belief that builders should stay and fight for regulatory clarity rather than hide.","facts":"Fun fact: the Uniswap protocol Hayden invented has processed over $2 trillion in volume. Other highlights: founder of Uniswap Labs in NYC, ~443,136 followers, ~7,492 tweets, and once received a Wells notice from the SEC (and had his bank account closed by a major bank).","strength":"Inventive product vision, deep technical chops, credibility with builders, excellent storyteller when launching concepts, and an ability to rally a passionate community and ecosystem around open infrastructure.","weakness":"Can be polarizing and blunt — which energizes supporters but escalates regulatory and PR battles; high personal and legal risk from public stances; sometimes public frustration may overshadow educational messaging.","roast":"You decentralized liquidity pools but somehow centralized every drama into your mentions — your notifications must be the crypto equivalent of a flash crash with better branding.","win":"Built Uniswap from an experiment into a global protocol that enabled trillions in on‑chain volume, spawned thousands of forks and projects, and redefined how markets can operate without gatekeepers.","recommendation":"On X, lean into education + narrative: pin a rolling legal/product update thread for followers, post short explainer threads with simple visuals and on‑chain metrics, host regular Spaces Q&A with builders, spotlight projects and community wins built on Uniswap, repurpose longer essays into multi‑tweet threads, engage top commenters to convert critics into collaborators, and balance fiery advocacy with clear, accessible guides so newcomers can onboard and stick around."},"created":1774575199651,"type":"the innovator","id":"haydenzadams"},{"user":{"id":"20938766","name":"Gavin Nelson","description":"Interaction designer @OpenAI","followers_count":65012,"friends_count":830,"statuses_count":6283,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1910772072546193408/yFnZH7wE_normal.jpg","screen_name":"Gavmn","location":"Silicon Valley","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"nelson.co","expanded_url":"https://nelson.co","indices":[0,23],"url":"https://t.co/IxojA6whZs"}]}}},"details":{"type":"The Innovator","description":"Gavin Nelson is an interaction designer at OpenAI who experiments at the intersection of playfulness and utility — shipping micro-experiments that make interfaces feel delightfully inevitable. His timeline is equal parts elegant mockups, clever constraints-hacks, and approachable design math. The result: ideas that spread fast and make other designers steal them (politely).","purpose":"To push everyday interfaces forward by prototyping bold but usable interaction ideas that others can learn from and iterate on — turning playful experiments into practical patterns used across products.","beliefs":"Design should be joyful, legible, and brave: constraints are opportunities, micro-details matter, and sharing process accelerates better products. He values clarity over noise, thoughtful friction over lazy convenience, and believes elegant interactions can make complex systems feel human.","facts":"Fun fact: Gavin has ~65,012 followers and a habit of making tiny UI experiments go viral — one 'Time Machine' message interface post reached ~570k views and another parallax icon post hit ~427k views. He’s tweeted 6,283 times and frequently pairs visual demos with simple formulas.","strength":"Exceptional at turning a sketch or constraint into a clear, shareable idea — strong visual craft, concise explanations (even math when needed), and an ability to spark rapid community discussion and remixing.","weakness":"Can be so gleefully experimental that follow-through or documentation lags — ideas sometimes land as tasty one-off tweets rather than repeatable case studies, and the niche technical dives can alienate casual followers.","roast":"Gavin will remove your app labels to achieve 'purity' and call it progress — then tweet a five-step formula to justify why you’re now guessing icons like it’s a puzzle game. Charming chaos, but good luck finding the Settings.","win":"His 'Time Machine'-like iMessage history UI tweet went massively viral (~570k views, 7.3k likes), turning a playful concept into a widely discussed interaction pattern and cementing him as a go-to voice for bold micro-UX ideas.","recommendation":"Turn experiments into repeatable content: publish short multi-tweet breakdowns showing problem → constraint → decision → prototype. Pin a ‘Design Experiments’ thread linking demos, process files, and templates. Post short screen-record videos or GIFs of interactions, host occasional Spaces to talk through trade-offs, collaborate with product folks for case studies, and end tweets with one clear call-to-action (download, try, remix, or follow). Use consistent hashtags (#DesignExperiments, #MicroUX) and reply threads to capture and grow the conversation."},"created":1774574887575,"type":"the innovator","id":"gavmn"},{"user":{"id":"6112332","name":"Fidji Simo","description":"CEO of Applications, OpenAI","followers_count":133642,"friends_count":772,"statuses_count":1682,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1422212886487658496/oUzs06MX_normal.jpg","screen_name":"fidjissimo","location":"","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"fidjisimo.com","expanded_url":"http://fidjisimo.com","indices":[0,23],"url":"https://t.co/mWOYglCZPm"}]}}},"details":{"type":"The Innovator","description":"Product-first leader who moved from scaling Instacart to building consumer AI at OpenAI, launching things like ChatGPT Atlas and ChatGPT Health. Energetic, public-facing, and obsessed with making AI useful and empowering at scale. Tweets product launches, team wins, and big-picture essays with a founder’s urgency.","purpose":"To empower billions by turning cutting-edge AI into delightful, trustworthy products that actually solve people’s everyday problems—especially in messy domains like healthcare and the open web.","beliefs":"Believes technology should amplify human agency, that great products are built by relentless iteration and great teams, and that responsible deployment and clear communication are essential when scaling powerful AI to everyone.","facts":"Fun fact: Fidji has 133,642 followers and has tweeted 1,682 times. She’s known for launching consumer-facing AI products (ChatGPT Atlas browser, ChatGPT Health) and for making hiring announcements that read like product teasers.","strength":"Clear product vision, rapid execution, strong talent magnetism (she brings top engineers back to the team), and an ability to translate technical launches into compelling public narratives.","weakness":"Can move fast enough to outpace nuance—announcements may invite intense public scrutiny and heated debate; she risks burnout or overcommitment juggling big transitions and multiple launches.","roast":"She launches features faster than most people finish their coffee—by the time you hit reply she’s already hired three engineers, written a roadmap, and turned your critique into a roadmap slide.","win":"Transitioning from CEO of Instacart to CEO of Applications at OpenAI and shipping major consumer AI products like ChatGPT Atlas and ChatGPT Health—turning high-stakes leadership moves into visible product milestones.","recommendation":"To grow on X, lean into short, tactical product threads and bite-sized demo videos showing what the product actually does; spotlight engineers and behind-the-scenes decisions to humanize the team; host periodic AMAs to answer policy/product trade-offs; pin a clear explainer (and roadmap) to your profile; and use replies to seed clarifying threads that turn controversy into teachable moments."},"created":1774574744912,"type":"the innovator","id":"fidjissimo"},{"user":{"id":"1007413134","name":"Jim Fan","description":"NVIDIA Director of Robotics & Distinguished Scientist. Co-Lead of GEAR lab. Solving Physical AGI, one motor at a time. Stanford Ph.D. OpenAI's 1st intern.","followers_count":376995,"friends_count":3119,"statuses_count":4115,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1554922493101559808/SYSZhbcd_normal.jpg","screen_name":"DrJimFan","location":"Views my own. Contact →","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"jimfan.me","expanded_url":"https://jimfan.me","indices":[0,23],"url":"https://t.co/H4rXo4Ei8X"}]}}},"details":{"type":"The Innovator","description":"Jim Fan is a boundary-pushing robotics and AGI scientist — NVIDIA Director of Robotics, Distinguished Scientist, and Co-Lead of the GEAR lab. Stanford Ph.D. and OpenAI's first intern, he builds lifelong learning agents and physical AI systems that read like science fiction come true. He tweets high-signal demos and ideas that routinely ripple across the AI community.","purpose":"To accelerate the emergence of physically grounded intelligence by inventing practical, learnable motor and agent systems — turning imagined agents and simulated worlds into robust, real-world capabilities that can adapt and improve over time.","beliefs":"Believes that intelligence is embodied: progress comes from experiments that tighten the loop between simulation, learning, and hardware. Values open research, reproducible demos, and sharing bold prototypes to catalyze community progress. Trusts iterative, data-driven approaches over grand theory without demos.","facts":"Fun fact: Jim was OpenAI's first intern and now commands ~377k followers while solving Physical AGI 'one motor at a time.' He launches projects like Voyager and Stanford Smallville and routinely stress-tests LLMs just to see what happens.","strength":"Relentless experimentalism — he ships demos, bridges simulation and hardware, explains complex ideas clearly, and attracts both engineers and researchers to his vision. He converts curiosity into reproducible systems that scale.","weakness":"Can be impatient with slow progress and verbose technical nuance; sometimes tweets prototypes before polishing, which invites rapid-fire critique. Jargon-heavy posts can put casual followers on the outside looking in.","recommendation":"Boost audience growth on X by pairing short, snackable demo videos (5–30s) with concise technical threads that end with a clear takeaway and call-to-action (repo link, try-it prompt). Pin a ‘how to reproduce’ thread, host regular Spaces AMAs and live demos, collaborate with influencers and educators for explainer videos, and convert big demos into a 1–2 minute elevator reel to maximize retweets and impressions.","roast":"You build agents that learn to roam Minecraft, simulate whole Westworlds, and drive robots — yet somehow your drafts still have more TODOs than a grad student's thesis. At least your bots have better life plans than your scheduler.","win":"Turning research prototypes like Voyager and Stanford Smallville into viral, reproducible demos while rising from OpenAI's first intern to NVIDIA Director of Robotics — a rare arc from scrappy hacker to platform-shaping leader."},"created":1774574375157,"type":"the innovator","id":"drjimfan"},{"user":{"id":"825797497658281985","name":"Dmitri Dolgov","description":"Co-CEO at @waymo","followers_count":23963,"friends_count":66,"statuses_count":252,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1811848796868866048/jFOaeW8c_normal.jpg","screen_name":"dmitri_dolgov","location":"","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"waymo.com","expanded_url":"https://waymo.com","indices":[0,23],"url":"https://t.co/13XC9ozy4O"}]}}},"details":{"type":"The Innovator","description":"Co-CEO of Waymo who champions autonomous driving as a safety-first, scalable solution for real cities. He shares high-impact demos and rollout milestones that make complex tech feel tangible and trustworthy. Focused on proving generalizable, real-world autonomy rather than hype.","purpose":"To make transportation safer and more accessible by turning cutting-edge autonomy research into dependable, everyday mobility — proving that AI can protect people on busy streets and highways.","beliefs":"Believes in rigorous, data-driven safety; that real-world validation matters more than speculation; in generalizability of systems across cities; and that technology should demonstrably reduce harm while unlocking new mobility opportunities.","facts":"Fun fact: Dmitri has 23,963 followers on X, follows just 66 accounts, and has tweeted 252 times. His feed is full of high‑view safety videos and major product rollouts — including fully autonomous operations in San Francisco and freeway service expansions.","strength":"Deep technical credibility combined with clear, evidence-backed storytelling — he can turn sensor demos and metrics into compelling proof points that build trust with riders, regulators and the public.","weakness":"Can come across highly product-focused and technical, which sometimes makes his messaging feel a bit distant from everyday riders’ emotions or the local political debates that shape urban rollout.","recommendation":"To grow on X: lean into short explainer threads and behind‑the‑scenes human stories (riders, engineers, city partners), host periodic Spaces or AMAs about safety data, reply more often to journalists and community accounts, and keep publishing short, captioned video clips — those already drive big reach. Use simple infographics of safety metrics to turn technical wins into shareable narratives.","roast":"Dmitri follows 66 people — apparently his social circle uses fewer beams than his LiDAR. He posts safety videos so often we’re starting to suspect his car has better bedside manner than most politicians.","win":"Launched fully autonomous public operations in San Francisco and expanded freeway and multi-city service (LA, Phoenix, Austin, SF↔SJ), backed by viral safety demonstration videos showing real-world interventions and rider service."},"created":1774574234244,"type":"the innovator","id":"dmitri_dolgov"}],"activities":{"nreplies":[],"nbookmarks":[],"nretweets":[],"nlikes":[],"nviews":[]},"interactions":null}},"settings":{},"session":null,"routeProps":{"/creators/:username":{}}}
SuperX
