Entrepreneur, investor, startup helper. Founder at Antimatter. Board @Calm, @FlexionAI, @Speak
Joined January 2009
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Tendrils Compute: one chip, thousands of cores, all operating in parallel.
Pumped to back @nilscmr and awesome to be partnering with @jaltma and @benchmark.
This team has insane talent density so if you are interested in chip design, architecture exploration, compiler engineering, hit them up. tendrils.co/join
Tendrils has raised $30M led by @benchmark to rebuild general-purpose computing. @jaltma is joining our board.
At Tendrils, we believe that the future of general-purpose computing lies beyond legacy architectures for legacy software.
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Alexander Will retweeted
at thrive, we deeply believe that the best ideas can come from anyone.
our fellowship is one way we put it into practice. each year, we support a small group of college students as they pursue their own ideas alongside our team.
we have been fortunate to learn from those who have shared their time and experience with us. we do not have all the answers, but we hope that sharing what we have learned can help our fellows find their own.
fellows.thrivecap.com/
Alexander Will retweeted
my entire feed is the QUEST launch - users being like
“this is such a unique experience”
“the onboarding is beautiful”
“instinct and muse were only the first chapter, quest is next level”
epic work @VNallatamby @ThomasGirardier and team @personal_quest
Introducing Quest, the personal agent that studies you like a profiler.
Quest is for believers-only. It requires radical transparency: full access to your life so your agent can craft your memory.
If you give it a shot, you’ll unlock a personal advisor, always in your corner, helping you and encouraging you to start your quests.
Quest is built different:
1. Memory from day one: 100+ wiki files created on you, all your relationships mapped.
2. Phone-Use: Quest has its own Android phone, and can control messaging apps like WhatsApp, Instagram or TikTok.
3. Fluid UI: Quest builds tailor-made iOS mini-apps around each of your quests.
4. Mothership of AI Assistants: Quest can manage your Instinct and Muse on your behalf.
5. Self-Improving Proactivity Harness: Quest reacts to anything, not just your email, and its proactivity evolves from your feedback and its own mistakes.
Alexander Will retweeted
1/ Today, @Mercury is launching Agent Controls: see every agent connected to your account, what it can do, its activity, and cut it off in seconds.
Big banks are locking AI agents out. It’s bad security, and an admission they don’t understand the future.
Alexander Will retweeted
Today’s ticketing systems weren’t built for agents.
Over the past 3 months, we’ve been building a new product at Parahelp to solve this: Infrastructure purpose-built for your agents (like Claude, Grok Bot, or one built in-house) and team to resolve support tickets together.
Alexander Will retweeted
introducing
═══════════ 𝚌𝚏𝚘.𝚊𝚒 ═════════════
tl;dr
1/ runway is now cfo.ai
2/ you can hire @arithecfo and he can start TODAY
3/ you can give @arithecfo a test drive by replying to this thread with any ridiculous thing you want him to model for you, and he'll come back to you with a beautiful, detailed, fully wired financial model
... in 30 minutes or less
now, story time:
🧵 1/n
Alexander Will retweeted
Introducing Live Tutor Lessons, powered by @OpenAI GPT‑Live-1: Interactive language lessons with a tutor that get you talking, listens in real time, and helps you find your words. Jump in with a question anytime.
Limited rollout for English and Spanish learners. See it in action ⬇️
Alexander Will retweeted
We often talk about big bets at Etched and there’s no higher conviction investor than @sonyatweetybird and @abhishekm1636
Sonya did over 50 calls with customers, suppliers, and other chip companies before approaching us about working together
Before I knew it I was on a plane with Sonya, @dougleone, and @gradypb talking about what the future of inference clusters would look like. @Alfred_Lin and fifteen people from the sequoia partnership came by our lab, saw the models run themselves, and we decided to partner together
We couldn’t be more excited to be working with Sequoia!
Alexander Will retweeted
June was a big month at ElevenLabs.
We hosted our biggest Summit yet with 2,500 leaders in Warsaw, signed partnerships with four governments, crossed $500M ARR, welcomed an incredible new set of investors, and kept shipping across our models and products.
All powered by the momentum of shipping, and by our customers building the future - all pushing in one direction: changing how the world communicates with AI. Here are some of the highlights.
Research:
- Dubbing v2 - carrying over the emotion, performance, and intent of the original content, and solving the problem of flat, disconnected dubbing.
- Music v2 - with better vocals, instrumentation, arrangement, and language support across genres.
For teams building customer experiences:
- Procedures - packaged sets of instructions that define how agents operate in common scenarios, just like employees follow SOPs.
- New modalities - so agents can process images, files, audio notes, contacts, and location pins in customer conversations.
- Speech Engine - so developers can turn an existing chat agent into a full voice agent with just one prompt.
For marketers and creators:
- Ads Engine - automatically localising ads across 50+ languages and pushing new creative back into ad platforms.
- Avatars - creating talking-head videos from a script, voice, and photo.
- Flows Agent - letting teams build entire creative workflows through natural language in our node-based canvas.
In our ecosystem:
- Added more watermarking techniques for future authenticity of content
- Crossed $22M paid out to people who have added their voices to the Voice Library.
Looking ahead to Q3, we have some of our most exciting work coming out!
Alexander Will retweeted
Looking for collaborators on a personal project: AI benchmarks for blue collar work.
This is a multimodal eval on tasks for electricians, ironworkers, technicians, assembly line workers, mechanics, and more.
Reach out if you work in the trades or want to talk to strangers!
Alexander Will retweeted
personal update: I joined Etched.
I first met @robertwachen in early 2023 when I was a @neo scholar and he was a scholar finalist, one of my several interviewees.
I still remember our first zoom. Within two minutes of meeting I knew Rob was not an ordinary 19 year old Harvard freshman. We hit it off I quickly gave him a strong yes on our internal rubrics. I never could have imagined what that serendipitous interaction would turn in to.
RL reframes the data problem in robotics.
Fancy fundraises are one thing. Real progress on hard problems is another.
Flexion is the frontier lab for robotics intelligence. 🤖
As with every category in AI, data is the bottleneck. It is why companies like Mercor have become so valuable simply by supplying AI labs with high-quality data. But this data isn't easily accessible in robotics — and that constraint is exactly why Flexion exists, and why their approach is the unlock: rather than waiting to only collect data from real robots, they generate it in simulation - millions of practice runs, grounded in real physics - and use it to train their robots through RL.
Long horizon missions:
Humanoid robots are meant to carry out long-horizon autonomous missions in a world built for humans. This is hard. These missions are made up of many steps, each of which requires them to perceive, navigate, and interact with the environment. This is why Flexion is building general-purpose intelligence that turns any robot into a useful helper.
Today, the team is showing a significant step in that direction.
"A parcel with snacks has been delivered for Flexion. Retrieve it using the stairs and come up using the elevator. Then unpack it and place the items into the empty drawer on the shelf in the snack area."
One instruction. No human operator. Everything that follows is autonomous.
TLDR: the robot understands the instruction, locates a box in a dedicated area, navigates a multi-floor building, interacts with doors and elevators, uses tools to open the box, places its contents on a shelf, and adapts when things don't go as planned, because in practice they never do. This is done in one shot.
Composing reasoning, perception, physical execution and runtime robustness into a single mission-capable system is the foundation required to solve humanoid autonomy.
Flexion is ripping - blog post and open roles in the replies. 🚀
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Alexander Will retweeted
Today, we’re launching Parahelp 3.
With Parahelp 3, we’re doubling down on building the best product for startups to scale delightful customer support - at a time when AI is accelerating how fast they move.
@parahelp_ai is now an AI support team that stays up to date on your product to deliver delightful support to your customers:
- A Customer Agent that resolves your most complex support tickets
- An Internal Agent that builds your Customer Agent and updates it at the moment your product changes¨
Thanks to everyone who has helped us get this far. We’re very excited about the next chapter!
Read more in the comments.
What Midjourney is 🤯🤯🤯
What Midjourney is:
- No investors, fully community-funded research lab
- Revenue from image generation product funds all R&D
- ~$100M in first 9 months, $200M by month 12, still growing
- 8 active projects: 4 hardware, 4 software
----2 hardware products coming to market soon (consumer-purchasable)
----2 are large-scale machines
DAVID HOLZ: Background and Philosophy
- Grew up in Florida, parents in medicine, dad had a dental office on a sailboat
- Physics and math background: drawn to the tension between predicting reality vs. absolute truth
- Core thesis: the interaction between humans and technology is the biggest limitation, not compute power
- Founded Leap Motion at 22: $10M in pre-orders in 48 hours from a website (not Kickstarter)
- Built hand-tracking VR: 600M-parameter mixture-of-experts model, 2015, CPU cluster, pre-TensorFlow
- Also shipped Northstar, an open-source AR headset
- Left Leap Motion wanting a “home,” not a 100x return
- Mentor Bill Warner told him he could bootstrap; he listened this time
- Started Midjourney with ~$200K, called Google for 10,000 GPUs on trust alone
THE SCANNER: Full Body Ultrasonic CT
- First new whole-body medical imaging modality in ~50 years
- Concept: “as powerful as an MRI, as casual as a trip to the spa”
- No radiation, no magnets, no x-rays; safe for unlimited scans
How it works:
- 40 rings, each with 8,960 transducers (200 microns wide), totaling 358,000 elements
- Fires ultrasonic waves at 100M times/second; sound travels through water at 1,481 m/s
- Sensors resolve motion down to picometers (sub-atomic range)
- Captures 17 GB/second of raw data; 806 TB per full scan reconstruction
- 21 on-site servers, 2 petaflops of compute
- Patient lowers into water at 4 cm/second; ~60 seconds for several hundred body slices
- Produces sub-millimeter 3D maps of internal tissue
Already outperforming MRI in some tissue boundary and muscle fiber detail on DAY ONE.
10x cheaper and 60x faster than MRI machines; scan cost effectively near zero.
Gen 2 scanner planned by end of 2026; Gen 3 will use custom silicon.
SCANNER vs. MRI: Key Differences
- MRI: 60-minute tube, loud, requires sedation for children, expensive, radiation-adjacent.
- This scanner: water immersion, 30-60 seconds, no sedation, no radiation, repeatable daily.
- Current limitation: not yet FDA-cleared beyond body composition; no AI layer yet applied.
- Already better than MRI in certain muscle/fiber/vein boundary resolution at day one
THE MIDJOURNEY SPA:
- First location: Union Square, San Francisco
- 25,000 sq ft, 4 floors
- Amenities: hot tubs, saunas, cold plunges, European spa features, gym
- 9-10 full scanners on-site
- Goal: open by end of 2027
Target:
- 50,000 scanners globally, capable of 1 billion scans/month
- 5,000 spa locations needed at ~10 scanners each
- Estimated $20B capex to scale; Midjourney self-funds the first location
- Payback period modeled at ~6 months per location
ROADMAP & REGULATORY PATH:
- FDA discussions already started; body composition on a clear path
- Ascending approval ladder planned:Body composition (near-term, easy)
- Sharing data with physicians
- Doppler / blood flow imaging
- Pregnancy / fetal imaging (ultrasound already approved; this is a natural extension)
- Therapeutic applications (tendon/muscle healing, eventually incisionless surgery)
AI not yet applied to imaging; planned as a layer once data volume grows
LONG-TERM VISION:
- Flag anomalies automatically, substitute some blood tests, enable daily health tracking
PRICING:
- No firm numbers yet; likely spa memberships plus walk-in and scan-only tiers; cost of scan itself is near zero
- Data analysis: day one is body composition only; physician sharing gated on FDA progression
- Form factors: current design is throughput-optimized (up/down elevator); bathtub and gym-sized variants possible later
- Blood test substitution: sub-millimeter daily differentials with AI may eventually replace some tests; acknowledged as frontier science
- Cancer destruction via focused ultrasound: technically possible, not on near-term roadmap
NEXT STEPS:
- Sign up for Midjourney Medical email list for research trial scan invitations
- Visit midjourney.com/medical for jobs and updates (page now live)
Gen 2 scanner presentation planned before end of 2026
More secret projects to be announced soon.
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Alexander Will retweeted
My take 24 hours after Fable 5:
Your organization will likely not scale with the exponential curve of AI.
I'l just come out to say: This should be a wakeup call for engineering teams.
Set up your cloud software factories. Now.
Models can now fix impossible bugs, UI-test the hardest flows, writing extremely good code, etc. I have't opened Datadog manually as far as I can remember.
AI should be the first-line defense for bugs and feedback. Humans should only look at PRs after an AI has already reviewed it. AI should generate screen recordings of any PR before a human eye even reaches it. The agent should just prompt itself most of the time.
Ex. (pictured) our ui feedback channel manages itself, creates tickets, assigns itself automatically
You might also be worried about cost. Anthropic, OpenAI, and other labs will likely continue to put out bigger and more expensive models. But, we will also continue to get more capable small models. Not everything will need the smartest models. It's about having the organizational harness in place to continue taking advantage of this rising tide.
Moreover, if you use Devin, we've already optimized our harness a bit, and Fable is actually only ~40% more expensive in practice (vs the 2x people assume). I'm honestly pleasantly surprised - it might be higher ROI than you think.
Anyway, if you take anything away, engineers shouldn't be manually picking up tickets, humans shouldn't be digging into logs themselves, rethink what you do with your time that shouldn't just be an AI. We need to rethink what humans spend their time going.
Claude Fable 5 is now available in Devin.
Fable 5 earns the #1 spot on FrontierCode, our benchmark for real-world engineering tasks that grades mergeability and quality:
