🛠️ Founder @healthspanners, @aescape 🧬 Avid health optimizer ☀️ Serial optimist
New York City
Joined April 2007
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This is without question the best “remote desktop” (that undersells what it does) app I’ve used. Clean, efficient, low resource utilization.
@hnshah and @SamAsante crushed it.
In June, @SamAsante and I launched Typeahead, the first product from our new company.
Today we're releasing our next Mac app. It's called Beam, and we're live on Product Hunt.
I've got Macs all over my house doing different work. Some run agents and local models. Others handle builds. When I want to use one app on another Mac, I usually end up navigating a whole second desktop through Screen Sharing.
Beam brings that app's window onto the Mac I'm using. It gets its own Dock icon and shows up in ⌘Tab. I can type into it and resize it while everything keeps running on the other Mac.
Sam has put a lot of care into making this feel natural. The video shows it better than I can explain it.
Live on Product Hunt → producthunt.com/products/bea…
Eric Litman retweeted
1/ We discovered something totally unexpected about the neural structure of consciousness that overturns decades of thinking on its biological basis and brings us significantly closer to the recipe for generating conscious awareness.
New preprint: biorxiv.org/content/10.64898… (led by @HesseJanis, with @FrankLanfranchi, @_conor_mcgrory, @Yuelin_Shi, and @EngelTatiana)
Eric Litman retweeted
Introducing Hugo: the first human companion robot.
At Boston Dynamics, I was Chief Strategy Officer, bringing robots into the real world.
My co-founder, Farbod Farshidian, led research at the RAI Institute.
Together, 15+ years teaching robots to run, jump, and work.
So we asked: what if robots could connect with people?
Hugo runs on the first Vision-Language-Expression (VLE) model.
He links what he sees and hears to movement, expression, and gesture.
He notices you, reads the room, and reacts in real time.
And he's only the first.
Dynamic Creatures is @BostonDynamics' official entertainment and hospitality partner.
We're building a cast of characters with film studios, resorts, and theme parks.
dynamiccreatures.com
Eric Litman retweeted
We used an agent to help train a stronger successor. Then we used that successor to help train the next.
Our new paper, Terminal-RSI, studies this recursive self-improvement loop: learn from verified successes, improve through practice, and repeat.
Across two cycles, a 27B model’s Terminal-Bench 2.1 success rises from 51.7% to 86.5%, and Terminal-Bench 4.0 success rises from 0.0% to 19.8%, a new SOTA.
We’re interested in how far this kind of hill climbing can go, and what makes it stall.
Paper: arxiv.org/abs/2610.22192
Eric Litman retweeted
Look at these gorgeous, dynamic, orange mitochondria surrounding the blue nucleus.
A view of life from beneath a cell monolayer in a parti dish. Whatever angle you look at it, life is always dynamic and pretty special.
Eric Litman retweeted
Lots is happening in the world of clinical trial reform!
I decided to put together a list - all of this was announced since June - and shared some thoughts:
abundanceandgrowth.org/p/is-…
This is a good thing. Many doomer arguments rest on what’s perceived as the growing lack of mechanistic interpretability of models. Nick’s saying we can inspect neural nets directly, technical paper due out in a couple of weeks.
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had
with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works
already-clean.goodfire.com/
Increasingly looking like PDE-5is are geroprotective. Watch out for non-zero potential for ototoxocity / sensorineural hearing loss.
Prolonged tadalafil exposure promotes skeletal muscle myogenesis and regulates early myogenic markers activation in C2C12 cell lines
“emerging evidence suggests that phosphodiesterase type 5 (PDE5) inhibitors may also have an effect on skeletal muscle metabolism and plasticity…”
pubmed.ncbi.nlm.nih.gov/4285…
Eric Litman retweeted
Hi, I'm Felix. I'm an eng lead working on Claude. I love watching people take flight and do things they never thought possible.
We often describe that as "being more ambitious" when using AI, which is tricky advice to follow. I wrote a tutorial:
felixrieseberg.com/how-to-be…
Eric Litman retweeted
Today @dolapo and I are introducing Scuba, the shared context engine for teams and their agents.
Never lose a great idea. Capture anything, share what matters, and keep your people and agents aligned as you move faster together.
Everyone is moving faster on their own with AI. But so few teams feel they’re moving smarter together.
The models aren't intelligence bound anymore. They're context constrained.
Scuba is the shared memory your team has been missing. Put it to work in Slack, Claude, ChatGPT, Cursor, and any tool that supports MCP. We run our whole company on it, with under two hours of meetings a week.
We’re emerging out of stealth with $34M. We’re grateful to @accel for leading our pre-seed and co-leading our seed with @ivp, alongside @BoxGroup, @conviction, @homebrew, and @ScribbleVC. Our angels include the founders of Slack (@stewart @iamcal), Instagram (@mikeyk), Stripe (@patrickc), LinkedIn (@reidhoffman & Jeff Weiner), Salesforce (@parkerharris), Datadog (@oliveur), Vanta (@christinacaci), Harvey (@winstonweinberg), Dropbox (@drewhouston), Abridge (@ShivdevRao), Duolingo (@severinhacker), Granola (@cjpedregal), Warp (@zachlloydtweets), Zynga (@markpinc), Groupon (@andrewmason), Coda (@shishirmehrotra), Opendoor (@ericwu01), and Flatiron Health (@zachweinberg).
scuba.app
open-pstack 1.6 is out. It's @poteto's pstack, the agent skill pack from Cursor, rebuilt to run in Claude Code and Codex + added model choices. This release catches up with Cursor's pstack 0.15.17. 🧵
1.6.1 adds a release script. Release notes now come straight from the changelog, and it won't tag a release unless that exact commit passed a live test of the installed plugin.
1.6.1 is the first release it shipped.
Thanks to recent contributors and to nunoras for doing the sync. Install steps are in the README:
github.com/ericlitman/open-p…
Eric Litman retweeted
Qualcomm CEO reveals AI companies want phones running 100-billion-parameter models continuously by 2028--and confirms some are building phones
Cristiano Amon: “I have to be careful not to disclose names, but some AI companies—some of the companies at the forefront of AI—are telling Qualcomm, ‘By 2028, I need to make sure that I have the ability to run at least a 100-billion-parameter model in a phone, and I need to have this thing running kind of all the time.’”
Alex Heath: “So you’re saying there are AI companies that are talking about—”
Cristiano Amon: “Well, AI companies are starting to do phones.”
Qualcomm’s CEO on the coming AI phone supercycle
@cristianoamon on the China vs. US AI sentiment, how AI is changing smartphones and wearables, Qualcomm’s data center strategy, and 6G.
We discuss why he thinks phones aren’t going away, how agents will use our personal context, and why he expects smart glasses to become the biggest category of AI wearables. We also cover differences in consumer AI adoption between China and the US, Qualcomm’s acquisition of Modular to offer developers an alternative to Nvidia’s software, and what 6G could change about the devices we use.
This conversation was recorded live at Qualcomm’s recent Snapdragon Summit in Hawaii.
Timestamps:
00:18 How China and the US see AI
04:33 Should AI development slow down?
07:25 Trump, China, and chip geopolitics
08:25 Why the smartphone market is shrinking
11:15 Memory prices and pent-up demand
13:15 Can cloud agents replace the phone?
18:30 What is an AI smartphone?
25:05 The state of VR and smart glasses
29:30 Is there an iPod moment for wearables?
30:45 Why Qualcomm is building data centers
34:45 Modular and the fight against CUDA lock-in
39:05 What 5G actually changed
42:00 Why 6G is built for AI
45:05 When 6G arrives
Spotify: open.spotify.com/episode/3fT…
YouTube: youtu.be/FcYL3h5bwlk
Substack: sources.news/p/qualcomm-ceo-…
Apple Podcasts: podcasts.apple.com/us/podcas…
Thanks to the show’s premiere sponsors: @Atlassian, @meetgranola, and @mercury.
Eric Litman retweeted
Do we dare use the word superhuman, and at the same time stay true to science?
Welcome to a new frontier of human biology: At Powerhouse Biology, we build capability therapeutics, medicines that add function to human cells. Stay tuned for October 12, when we share the 2026 White Paper "Engineered human resilience and durability".
Eric Litman retweeted
After six years in stealth, Atomic Machines is out. Our mission: on-demand, universal command of matter. First beachhead: the Matter Compiler, an AI-native manufacturing system that builds working micro-machines from code alone. No per-product tooling. No process development. Different code, different machine.