Sales Bro in vintage clothing!

San Francisco, CA
Joined July 2008
Emerging from my first session using opus 5.5 to write cold outbound emails with the same open rate as emails I personally write! #automation #zombiesales
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Baidu World 2026 is coming to Beijing on Nov 12! 🚀 This year we'll explore how organizations can redesign processes, drive innovation, and deliver AI solutions at scale. Stay tuned!
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JUST IN: Japan holds competitive sleeping tournament, offering $15,000 to whoever can fall asleep fastest & sleep the deepest during a 90-minute contest.
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Lord Elon Musk, Scam Altman, and Dario requesting GPUs from King Jensen is absolutely hilarious 😂
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I just signed an executive order permanently declaring Artificial Intelligence “Artificial Intelligence” in California. You’re welcome, America.
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energized when I my. teen shows me winning this weeks fantasy match up an mybcurrrn Spotify son strangely matches the energy 💪 #fantasyleague #fantasyfootball
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Mark Cuban on the next job wave: "Software is dead because everything's gonna be customized to your unique utilization. Who's gonna do it for them..." The answer is people who know how to fine-tune small LLMs on private data. Not prompting. Not API wrappers. Actual custom models trained on your business. And almost nobody knows how to do it yet. This is the complete guide ↓ Bookmark this. This is the one.
Fine-tuning is about to become one of the most valuable AI engineering skills. Not because everyone needs a custom model. But because the people who understand how models learn from data will build things others can’t. Full guide:
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Sending lots of love to the Apple community on my last day as CEO. My title changes tomorrow, but the love I have for the Apple community never will. Thank you for being a constant source of inspiration. My gratitude is endless, and I’m excited for the next chapter!
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Doing a private longevity event with @baseten in SF on Wednesday. > biological age testing > longevity mocktails > dinner by my team > Q&A with my doctor > breathwork > @saranormous and I chatting > my top ten things Hustle to get in. Available: 150 Pending approval: 2,954 luma.com/baseten-vc9z
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Harvey is a great example of how American companies are building world-class specialized models: they took an open-source base (Kimi K3), post-trained it on legal data, and delivered state-of-the-art performance on legal benchmarks at a fraction of the cost of frontier models. Restrictions that kneecap open models would do nothing to stop Chinese labs from shipping the next Kimi. They would, however, cripple the ability of startups like Harvey to create high-performance, low-cost vertical models. Of course some of the closed labs would love this — it eliminates their competition.
Introducing Tenet, our first model post-trained for legal. Tenet is a Kimi K3 base that we post-trained with @FireworksAI_HQ on a corpus of publicly available legal data, synthetic data, and human expert data simulating long-horizon legal work. Training increases Tenet's all-pass rate by 82% on LAB and 22% on LAB Contracts relative to the Kimi K3 base model. It achieves state-of-the-art performance on LAB Contracts and places second on LAB. These gains generalize to other leading agentic benchmarks including @mercor's Apex Agents - Corporate Law, @crosbylegal's Redline Bench, and @scale_AI's Professional Reasoning Bench. Tenet is also optimized for token efficiency, operating at less than a fourth the cost of leading foundation models. We additionally post-trained three specialist models for Tenet to use as subagents: 1) M&A Diligence: post-trained with @baseten on our LAB Diligence environment in an RLM harness, this model is optimized for high-scale, long-horizon tasks. 2) Review Tables: trained with @appliedcompute on our Review Table environment, this model is state-of-the-art and cost-effective at high-volume document review and structured data extraction. 3) Firm Knowledge: trained with @EngramLab on our synthetic law firm environment, this model is optimized to learn and search over a firm's knowledge via memory and structured notes. More details on model training, environment design, benchmarking, results, and more in the article by @gabepereyra below. What's next for Harvey’s research? - Scaling LAB to more jurisdictions, practice areas and workflows - Scaling compute to bring new generalist models and capabilities to Harvey More to come soon.
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also, a reason to favor open-source harnesses.
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The Buttigiegs have experienced a nightmare that should never have happened at all. I hope whoever is responsible is found and held accountable to the fullest extent of the law. substack.com/home/post/p-203…
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🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude. Taught by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch it and bookmark it now.
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Anthropic just showed a 24-minute workshop on how to actually prompt Claude. Taught by the people who built it. Free. No signup. No paywall. I've watched $300 courses that don't cover what they teach in the first 8 minutes.
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A Norwegian neuroscientist spent 20 years proving that the act of writing by hand changes the human brain in ways typing physically cannot, and almost nobody outside her field has read the paper. Her name is Audrey van der Meer. She runs a brain research lab in Trondheim, and the paper that closed the argument was published in 2024 in a journal called Frontiers in Psychology. The finding is brutal enough that it should have changed every classroom on Earth. The experiment was simple. She recruited 36 university students and put each one in a cap with 256 sensors pressed against their scalp to record brain activity. Words flashed on a screen one at a time. Sometimes the students wrote the word by hand on a touchscreen using a digital pen, and sometimes they typed the same word on a keyboard. Every neural response was recorded for the full five seconds the word stayed on screen. Then her team looked at the part of the data most researchers had ignored for years, which is how different parts of the brain were communicating with each other during the task. When the students wrote by hand, the brain lit up everywhere at once. The regions responsible for memory, sensory integration, and the encoding of new information were all firing together in a coordinated pattern that spread across the entire cortex. The whole network was awake and connected. When the same students typed the same word, that pattern collapsed almost completely. Most of the brain went quiet, and the connections between regions that had been alive seconds earlier were nowhere to be found on the EEG. Same word, same brain, same person, and two completely different neurological events. The reason turned out to be something nobody had really paid attention to before her work. Writing by hand is not one motion but a sequence of thousands of tiny micro-movements coordinated with your eyes in real time, where each letter is a different shape that requires the brain to solve a slightly different spatial problem. Your fingers, wrist, vision, and the parts of your brain that track position in space are all working together to produce one letter, then the next, then the next. Typing throws all of that away. Every key on a keyboard requires the exact same finger motion regardless of which letter you are pressing, which means the brain has almost nothing to integrate and almost no problem to solve. Van der Meer said it plainly in her interviews. Pressing the same key with the same finger over and over does not stimulate the brain in any meaningful way, and she pointed out something that should scare every parent who handed their kid an iPad. Children who learn to read and write on tablets often cannot tell letters like b and d apart, because they have never physically felt with their bodies what it takes to actually produce those letters on a page. A decade before her, two researchers at Princeton ran the same fight using a completely different method and ended up at the same answer. Pam Mueller and Daniel Oppenheimer tested 327 students across three experiments, where half took notes on laptops with the internet disabled and half took notes by hand, before testing everyone on what they actually understood from the lectures they had watched. The handwriting group won by a wide margin on every question that required real understanding rather than surface recall. The reason was hiding in the transcripts of what the two groups had actually written down. The laptop students typed almost word for word, capturing more total content but processing almost none of it as they went, while the handwriting students physically could not write fast enough to transcribe a lecture in real time, which forced them to listen carefully, decide what actually mattered, and put it in their own words on the page. That single act of choosing what to keep was the learning itself, and the keyboard had quietly skipped the choosing and skipped the learning along with it. Two studies. Two countries. Same answer. Handwriting makes the brain work. Typing lets it coast. Every note you have ever typed instead of written went into your brain through a thinner pipe. Every meeting, every book highlight, every idea you captured on your phone instead of on paper was processed at half depth. You did not forget those things because your memory is bad. You forgot them because typing never woke the part of the brain that would have made them stick. The fix is the thing your grandmother already knew. Pick up a pen. Write the thing down. The slower road is the faster one.
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I'm saddened by the passing of Craig Venter, a brilliant scientist and visionary entrepreneur whose partnership with the NIH led to the mapping of the human genome—unlocking new insights about ourselves and our common humanity. I'll always be grateful for the chance to know him and learn from him. His legacy will endure with every new discovery built on his lifetime of research and innovation.
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Today’s Supreme Court decision effectively guts a key pillar of the Voting Rights Act, freeing state legislatures to gerrymander legislative districts to systematically dilute and weaken the voting power of racial minorities - so long as they do it under the guise of “partisanship” rather than explicit “racial bias.” And it serves as just one more example of how a majority of the current Court seems intent on abandoning its vital role in ensuring equal participation in our democracy and protecting the rights of minority groups against majority overreach. The good news is that such setbacks can be overcome. But that will only happen if citizens across the country who cherish our democratic ideals continue to mobilize and vote in record numbers - not just in the upcoming midterms or in high profile races, but in every election and every level.
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