Vinay Rao retweeted
Over 1 billion people live with hypertension, yet more than half don’t know they have it because traditional screening relies on periodic clinic visits or cumbersome cuff measurements.
In our @Nature publication, together with @BIDMChealth, and @harvardmed we present a multimodal artificial intelligence system capable of passively detecting signs of hypertension using a consumer smartwatch without requiring any cuff calibration.
Validated against the clinical gold standard of 24-hour ambulatory blood pressure monitoring (ABPM) across five U.S. sites, the system achieves accuracy levels comparable to traditional cuff-based diagnostic workflows for both initial and confirmatory screening.👇
Another way of saying, we're Freeriders. Not first movers.
APPLE $AAPL CEO JOHN TERNUS EXPLAINED WHY APPLE WAITED YEARS TO MAKE A FOLDABLE IPHONE
"We ship things when we're ready to ship them, right? It takes time.
Obviously, people have shipped foldable products before. None of them, we felt, were particularly appealing.
We wanted to design something that we were really passionate and excited about, and that's true on the hardware, but it's also true on the software and on the design.
It takes time to get it right, and we feel like we got it right."
Any good stories on how users have managed to create custom workflows on Fal, orchestrating different diffusion models, to achieve better than a "packaged" solution?
Specially looking at something that does as well as Vizcom for ID.
BREAKING: @fal just raised $1.65 BILLION across its Series E & F
› Series E led by @sequoia
› Series F led by @BessemerVP
I sat down w/ Co-Founders: CEO Burkay Gür (@burkaygur) & CTO Görkem Yurtseven (@gorkem) to discuss the explosive growth of generative media, which they believe is 1 of only 3 major product-market fits in AI, alongside search & coding agents.
Founded in 2021 by former Coinbase & Amazon engineers, fal powers the infrastructure behind AI image, video, audio & 3D models, serving developers, studios & model labs.
fal
/faɫ/ · noun · Turkish
Pronounced approximately “fahl” (rhymes with doll in many American accents)
Definitions
1. Fortune-telling; divination. The practice of predicting future events, particularly through interpreting coffee grounds, cards, or other symbols.
2. Fortune; fate; luck. A person's destiny or prospects.
3. Omen; augury. A sign interpreted as indicating what may happen in the future.
A few highlights:
›› Professional users spend $10K–$20K/month generating AI media.
›› Video reached ~70% of fal's revenue before image editing drove a resurgence, bringing the mix back to 50/50.
›› Demand continued growing even as premium AI video model prices jumped more than 10X.
›› fal has scaled to ~150 employees with just 2 reporting levels.
›› Compute shortages are shaping model launches, while the founders believe AI's strongest margins will be captured by infrastructure providers rather than applications.
"AI really has 3 product market fits. One of them is search. The other really clear one that's growing really fast now is coding agents. & the third one is, we believe, generative media."
We recorded at Dalida in San Francisco & got into fal's evolution from Python infrastructure, the economics of AI inference, Hollywood, robotics, world models & the future of compute.
This was SO much fun!!
𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒
(00:00) Burkay Gur & Gorkem Yurtseven, Co-Founders at fal
(00:48) Why fal stopped chasing headlines
(03:15) Why generative media is AI’s next big market
(04:51) The infinite demand for AI videos
(09:35) The future of AI-generated ads
(13:19) How fal pivoted into generative media
(18:02) Hiring people who live and breathe AI
(23:01) Where AI meets Hollywood
(24:29) From friends to Co-Founders
(27:48) What a “Super IC” actually is
(35:58) The hardest part of staying at the frontier
(37:42) Why compute is the bottleneck for new models
(41:55) Why AI models have such weird names
(43:56) The story behind the name fal
(45:12) Why open source isn't going anywhere
(49:02) "AI has had zero impact on Hollywood"
(53:39) Waiting for AI's Toy Story moment
(56:58) Why Jack Dorsey is underrated
(58:55) Why the application layer has no margins
Vinay Rao retweeted
instagram.com/p/DezSsUYgfdm/…
I love the energy on this platform. A lot of folks are making something or the other. I do feel that things need a dash of style and that's what we bring to the table.
This is going to be like their tie up with EssilorLuxottica glasses? Eventually, Meta will want multiple manufacturers to work with their 'OS'.
🤖 scoop 🤖
Meta built a humanoid robot prototype called Max with Chinese firm Fourier in just 3 months.
Meta’s now ramping up its efforts and working on a 2nd prototype as it sees robots as a physical embodiment of Muse.
theinformation.com/articles/…
Hardware Roundup - Week 44
A lot of exciting recent consumer hardware launches.
Some notable ones are from Xreal, Alloop, Matic Robots, and Leica.
Check out the latest drops (Images belong to the brands):
NEW: Leica launches Q3 43 Formula 1 Edition.
• Carbon fiber accents, red buttons, exclusive color profile; but same sensor and lens as standard Q3 43
• F1 brand collab limited edition is justified premium for collectors;
• $9,950 vs. $7,995 standard model; roughly 25% markup for a cosmetic change
How much does F1 make from this?
Vinay Rao retweeted
Last night an AI agent performed brain surgery on a mouse.
We gave it 19 gene therapy vectors in a spreadsheet, a mouse model of epilepsy, access to a motorize surgery rig with cameras and one goal: reduce seizures.
It picked the drug. It picked the brain region. It derived the coordinates from three papers. Then it drove the stereotaxic arms into the brain and injected 250 nanolitres while watching the entry site through the rig camera for bleeding.
A licensed vet gated every irreversible step and held a physical kill switch to stop the AI agent.
Thread on what it decided, what it saw, and the moment it refused to let me override it.
[Writing this on the spot out of excitement, but I've been 18hrs in front of my laptop coding and coordinating this, so keeping it brief and descriptive, more cohesive thoughts on this soon...]
Vinay Rao retweeted
Introducing Reality-Aware Rendering in @Simulon, a completely new way to create with the real world.
Place neural assets with your phone and act out the scene. When you stop recording, Simulon renders the take, reading everything in it (what you do, what you say and the place around you), and your assets respond to all of it.
The final is regenerated from your recording: a new performance of the scene, not a copy of the footage.
Available now on iPhone. Coming to Android soon.
Vinay Rao retweeted
Surprise 1: Anthropic acquired a one-person biotech
.
.
.
Surprise 2: that person is me
Surprise 3: I’m here to tell you all about it
Yes, this is what you think it is; after 6 yrs of increasingly loose anonymity: the Professor Oak reveal post
…and yes, it has gotten so boring around here that I’m literally doxxing myself to spice up the timeline
-------
Ok, allow me to introduce myself. My name is Cody Tranbarger. I mostly tweet, but occasionally find time to dabble in drug dev & starting/building biotechs. My past lives span the VC, crossover, startup continuum; Prof Oak has been my way of keeping a digital foot in those worlds, despite having my physical feet planted elsewhere.
The past 18 mo, ‘elsewhere’ was Mithril Medicine, a co. I founded to develop bsAbs for LAMA2-CMD & other ECM-related genetic diseases.
Mithril was born out of hands-on building with @MikeNGladstone, @JasonPaulRhodes, @LifeSciVC, & team @atlasventure. Somehow, I made enough half-decent calls along the way (even a broken clock is right twice a day, eh?) to convince them Mithril/I warranted a small seed. While I can hardly rationalize such an outrageously cavalier bet, I’m grateful for it, & I'd partner with Atlas again in a heartbeat.
In typical AV fashion, Mithril’s primordial form was virtual, decentralized, & ultra-lean. This stage tends to be short-lived, but for Mithril, it worked surprisingly well, for surprisingly long, thanks in part to the rapid maturation of the AI tools I used liberally.
Eventually, Mithril became a bit of an experiment itself - to find the upper bound of how far it could scale as a single operator + a bunch of Claude (+ a stellar bench of part-time consultants).
In parallel, I started spending time with @nc_frey, @an1lam, & @CoefficientBio team; and promptly experienced, for the 1st time, AI at the frontier. Soon thereafter, Mithril stopped looking like an experiment, & started looking like a preview of an entirely new operating model.
From that spark came “Pipeline-in-a-Person.” The idea immediately resonated when we shared it here back in April; and it was central to the shared vision that led to Anthropic’s acquisition of Mithril, & my joining the team.
Why join Anthropic? Three reasons.
(1) For Mithril, the programs continue, with more resources & infrastructure behind them, and as much Claude as I can put to work.
(2) For me, the chance to start several more programs, & find out how many one person can actually run in parallel - an almost unprecedented luxury for a curious drug hunter.
(3) For our mission, a path to institutionalize & scale this new way of working, then put it in the hands of all of biopharma, all over the world - which, candidly, I find the most energizing.
Will AI x Bio cure diseases? Unequivocally yes, imo… but not by the route that gets the most airtime. Rather than timeline acceleration & compression, I see orchestration & parallelization as today's low-hanging fruit.
Most drug hunters see a handful of go/no-go calls in a career, & spend entirely too much of the rest trading emails (my inbox can attest).
Give them the bandwidth to run several programs at once, and the time to focus on scientific judgment, and I’m willing to bet they’ll make better calls. And at scale, better calls translate to more drugs, higher hit rates, broader patient impact, & likely, a disease or 10 or 100 cured. I couldn't be more excited to build toward that future @AnthropicAI.
Finally, a heartfelt thank you to BioTwitter/X. The end of anonymity is bittersweet, but if anyone’s earned a proper introduction, you all have.
It’s difficult to overstate how much this app has done for me: a decade of education, plenty of friends, many job opportunities, several mentors, a few investors, even a co-founder (fmr). It was the generosity of this community that inspired me to start posting 6 years ago, after just as many years lurking. I hope I’ve been able to pay it forward, in my own small way.
But, to be clear, Prof Oak isn’t going anywhere. Same beat, same themes, and now, a front-row seat to drug development at the frontier. Stay tuned for dispatches from the trenches; and remember...
Gotta Cure 'Em All
In a not too distant future, this will be a lightweight electromechanical contraption that effects a certified probe. At home. Paired with a phone.
If anyone is trying to build this into a real product, we have ideas on one part (not imaging).
Now we know robots can take blood samples safely, but can you imagine a robot performing an ultrasound exam?
A study just proved that it is possible.
The authors developed an autonomous lightweight ultrasound robot comprising an AI agent that integrates multimodal perception with memory attention.
"Our robot can autonomously acquire expert-level standard liver ultrasound planes and detect pathology in patients...
Our system performs effectively on rapid-motion individuals and in wilderness environments. This work represents the first demonstration of autonomous sonography across multiple challenging scenarios, potentially transforming access to expert-level diagnostics in underserved regions."
It is designed for now for regions with limited medical resources. So your next ultrasound sonographer will not fly into the room as a robot anytime soon.
The study: nature.com/articles/s41467-0…
Are professional Mechanical Engineers shifting platforms to this (or many others like it)?
🚨 WHAT IF YOUR AI AGENT COULD DESIGN REAL 3D PARTS?
Meet SolidCraft.
An open-source parametric CAD app built entirely in Rust.
And yes, AI agents can use it.
Here’s what makes it interesting:
→ Sketch and build 3D solids.
→ Change dimensions and rebuild the entire model.
→ Create holes, threads, fillets, patterns, and assemblies.
→ Design sheet-metal parts and plastic enclosures.
→ Export formats like STEP, STL, and 3MF.
→ Let AI agents create models through a built-in MCP server.
The wild part?
You can use it on your desktop, in your browser, or through a command-line interface.
So an AI agent can do more than generate a pretty 3D image.
It can work with editable CAD geometry and a parametric feature timeline.
The project reports that 75 of 76 public reference parts match their expected geometric measurements.
It’s still early, but this is a fascinating step toward AI-assisted engineering.
Explore SolidCraft 👇
github.com/tangency-labs/sol…
#AI #CAD #OpenSource #3DModeling
Bespoke intelligent products are coming. Stock PCBs. Custom/OSS firmware. Custom 3D print industrial design. At some point, this will come for wearables too.
about to ship the first batch of wedgies
DIY off-the-shelf hardware wallet
signs on a gnosis safe
build your own or order one today
wedgie.dev
Nice. Had no idea JLC had added CNC Sheet Metal to their online-first services.
”Just make it look like the 3D model.” Famous last words. 😅
For sheet metal parts, unclear dimensions can turn manufacturing into a guessing game.
Need a hole in the right spot after bending? Make sure your drawing clearly defines the critical dimensions, tolerances, and reference datums.
Your CAD model shows the shape. Your engineering drawing makes the critical requirements explicit.
Less guessing. Fewer surprises. Better-fitting parts.
#SheetMetalDesign #EngineeringDrawings #DFM #MechanicalEngineering
























