Peter Vukovic retweeted
Most success in business is fat-tailed and probabilistic. Most effort in business is dedicated to pretending that it isn't.
Amidst all the controversy over Shaun's model (who cares), I think this is a key point.
Private equity tends to be focused on incrementalism.
Cutting costs. Growing with existing customers. Adding new, similar customers. Gaining wallet share.
These aren't bad; they make sense. They just aren't step function, exponential.
The focus on what you can underwrite may raise the floor, but it also limits the ceiling. That's their model.
"The models that dominate all human decision-making today are duly heavy on simplistic logic, and light on magic – a spreadsheet leaves no room for miracles."
-@rorysutherland
This seems be especially true with AI. I am seeing a lot of PE guys very skeptical of ROI on AI. But the experimentation and giving some room for "magic" could lead to exponential improvement.
It's not a criticism of PE, it's just not their model. They need hard data on ROI for every dollar they spend.
That's the delta between the two groups - PE needs to underwrite every single expense and VC is trying to find exponential outcomes.
In 2000 a Cambridge professor published a paper in Nature about this desk toy. 26 years later physicists are still arguing about how it stops
It's a heavy steel disk on a mirror. As it loses energy, it spins faster and louder, and then it stops dead, all at once. Turn the sound on
The professor was Keith Moffatt. His math said the wobble speeds up toward infinity in a finite amount of time, the kind of infinity physicists usually only talk about inside black holes
Something has to stop it first. Moffatt blamed the thin cushion of air under the disk. Others spun it in a vacuum and blamed friction instead
In March 2026 a team from Harvard posted new measurements and sided with the air, at least for the final moments
The toy was invented in the late 1980s by Joseph Bendik and named after Leonhard Euler, who worked out the math of spinning bodies in the 1700s
A steel disk, a mirror, and 26 years of disagreement over the last second of its spin
Surrender is the only possible outcome.
Yes, we could all be spending more time reviewing AI code, but companies are laying people off and asking more from each remaining individual.
When you’re expected to 10x your output, surrendering is the only option.
Peter Vukovic retweeted
Using only mind power to drive the wheelchair with my Neuralink N1 implant. 🧠⚡️
Peter Vukovic retweeted
Looks like CRISPR can be used to fight cancer....instead of just editing DNA, it can be programmed to recognize cancer mutations and shred DNA...no more chemotherapy...cancer specific killing instead.
doi.org/10.1038/s41586-026-1…
A sharp, brilliant piece on what AI can and cannot (yet) solve, and what should we focus on. I really liked the part explaining AI can create exacerbate existing bottlenecks unless applied to the slowest part of the process.
Peter Vukovic retweeted
this might be my last normal tweet before biotech goes vertical
i'm not a whistleblower. I don't work at Lilly, Novo or any of the big labs
but there is a massive shift happening in human biology right now.
it's sitting in press releases and almost nobody reads them
the last 6 months alone:
- a once-daily pill roughly doubled median survival in metastatic pancreatic cancer (13.2 vs 6.6 months)
- a one-time gene editing infusion cut hereditary angioedema attacks 87%, and 62% of patients stayed attack-free and off all other prevention for 6 months
- a one-time gene edit for cholesterol dropped LDL up to 62%, and it held for over a year
- a personalized mrna vaccine beat keytruda alone in a 1,137 patient melanoma phase 3
- retatrutide hit ~28% weight loss in a phase 3
- an ai-designed drug entered phase 3
- a pill that regrows hair passed its second phase 3
- an immunotherapy that could let some rectal cancer patients skip surgery, chemo and radiation just got fda approved
- a man lived 271 days off dialysis on a pig kidney
- human cells were caught passing chromosome-sized chunks of DNA to their neighbors, and it changes how the neighbors behave
we are on the verge of an era where the human body is a software problem and the update cycle gets shorter everyday
stick around, it's going to get weird
bio/acc
Our second product is called Blindsight and it will, as the name suggests, enable even those who are completely blind or have never seen to see.
It is ready from an engineering standpoint. Just waiting on regulatory approval.
Neuralink’s first product is called Telepathy.
It enables high-speed communication with computers or humans simply by thinking. Output bandwidth will vastly exceed the fastest human speech or typing in a few years. Read that sentence again.
Peter Vukovic retweeted
What if customers could create a website by themselves, pick a domain and get it published in one go 🤔?
Why not! So I created trebamisajt.com.
1. You explain what you business do.
2. Provide contact and social network profiles.
3. Get 3-6 design proposals and pick one.
4. Pick domain
5. Publish
This seems to be a good fit for small busniesses without need and the budget for costly websites.
SEO? Yes.
Business profile? Yes.
Search console? Yes.
Peter Vukovic retweeted
I believe that the best way to accelerate curing disease is to run lots of real drug programs with Claude, across disease areas and stages of development, and get a little better at it every day. The bottlenecks are everywhere, not just in the initial stages of molecule design that tend to dominate the public discourse.
Today we're sharing early results from six research partnerships, using Claude in things like CAR-T design, lead optimization for antibodies, drafting of regulatory documents, and partnering with a new biotech company built to run many more programs than a small team usually can. We're also sharing results for the first time from our own drug programs in rare childhood disease.
Our approach to drug development owes a lot to @Prof_Oak_ . His "pipeline-in-a-person" vision was the first take on how to use AI in drug development that I found to be simultaneously AI-pilled and rigorously grounded in cold, hard reality. Welcome to Anthropic, Cody!
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.
In doing so, we’ve learned much more about how Claude can support the many stages of drug development.
In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.com/research/early…
Peter Vukovic retweeted
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.
In doing so, we’ve learned much more about how Claude can support the many stages of drug development.
In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.com/research/early…
Peter Vukovic retweeted
New in Cursor design mode: Annotate.
Give agents visual prompts: edit elements, draw on the page, and review your designs at different screen sizes.
Peter Vukovic retweeted
AirBNB had its place and time, but it’s over. Had a lovely stay at a Hyatt last night, left trash in the can, towels on the ground, and am confident my corporate overlord isn’t going to light me up with a guest review video. A professional exchange of goods for money. The AirBNB hosts did this to themselves and the platform lost control long ago.
its just bonkers the new policy @airbnb is trying to put in place. Putting the dishes in the dishwasher, taking out the trash, pulling the sheets off the bed....they are just standard things any normal person would do when staying at a house. Why wouldn't a host be allowed to say that?
Excellent use case, but I wonder how long we’ll need visitors at all.
At what point will the entire SaaS transform into a giant marketplace for Claude / ChatGPT where agentic SaaS solutions will be published similar to how Shopify apps are published today.
Your agent will suggest the right app, start a subscription, use it, all without you ever visiting anything.
Twitter visitors were bouncing off Sales.co 76% of the time
I could have watched session recordings or read analytics, but who has the time?
GetUserProof.com recorded users and fed the data to Claude Code, and they saw a quick fix for this.
It doubled the conversion of users from Twitter!
Free to plug into your claude and your projects, got a generous free tier, putting it in all my SaaS 🙂
Crises do bring us together. But there is something sad in the fact we need a crisis to unite, survive and thrive. We even manufacture them in the absence of natural disasters. No other species does this.
I imagine a world where Dessa is the primary interface for your phone when you're on the go, and you never even have to look at a screen.
We believe voice is the most natural way to interact with intelligence, so we created Dessa, the most authentic full-duplex speech model ever built. Talking with it feels like talking with a person…full of emotion, nuance, pauses, and a natural cadence.
block.xyz/dessa
Seems like the entire internet security thing relied on people not having enough time to check everything. Well, now it's not people.
If you're not a subject matter expert, start with:
"I have a question about X. Before I give you the details, what context would a professional in this field provide in order to get an accurate answer from you?"
Then provide that context or ask it to research it for you.
This messes with my mind ALL THE TIME
When I do stuff with AI I am an *expert* in (eg coding on my project I know well, or doing research in an area I am very familiar with) I spot problems/errors/the model BS'ing me immediately. No big deal, I have it correct or start again
BUT when I'm not an expert in an area, I find that I trust it, and then later learn it does stupid stuff. Like a case when I asked 3x AI models to give feedback on a legal case (that I also paid a lawyer for, but lawyer was slow). All 3x models confidently told me X, lawyer then told me Y, and lawyer was right



























