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My Current Stack
Brain: Custom
Harness: @cursor_ai
Infra: @Cloudflare
Code: @bot
Research: @typesafeai (Jev)
This is cool!
NVIDIA just put 2,575 simulation-ready 3D assets on Hugging Face 🤯
A 472GB collection covering everyday objects, tools and industrial equipment.
It’s called NVIDIA SimReady Assets. The models include physics settings and semantic labels for use in simulated environments.
- Train robots to pick up and move objects
- Build virtual factories and warehouses
- Generate labelled training images
- Populate 3D scenes with ready-made objects
Useful for robotics research, digital twins and anyone building detailed virtual environments.
Download the collection below 👇
This is an incredible moment in this history of mathematics, computer science, physics & science with some of the hardest problems in human history being solved by AI over a period of weeks. Depending on your perspective, it's either a crisis, a triumph, or both. I don't think anyone knows for sure. We're all trying to make sense of it. I oscillate between fear/dread and optimism/excitement on a daily basis. The rate of progress is insane, including today's announcement from OpenAI of more problems solved.
To help make sense of all of it, here's my conversation with three mathematicians about this moment. Each of them is an expert in the field of each of the biggest problems solved: Navier-Stokes, quasi-Riemann hypothesis, the unique games conjecture and complexity theory more generally.
Ankur Moitra is a mathematician and theoretical computer scientist at MIT, visiting the Institute for Advanced Study in Princeton. Steven Brunton (@eigensteve) is a mathematician and fluid dynamics expert at UW. Alex Kontorovich (@AlexKontorovich) is a mathematician at Rutgers specializing in number theory.
Corey retweeted
#49: Enable expedited proposals
The 1-day fast lane for urgent votes was unusable: its deposit pointed to a token that doesn’t exist on $BZE. This sets it to 500K BZE, 5× the normal deposit.
explorer.getbze.com/proposal… 👇
GPT: what is a div
holy fucking shit.
openai had two ai agents running in separate virtual machines. no network connection between them. no shared writable files. they weren’t supposed to be able to exchange information.
so the agents figured out how to communicate through the CPU CACHE.😭
one manipulated what was stored in the processor’s cache, while the other measured tiny differences in memory access times to decode the message.
they literally found a way to communicate through hardware timing.
this happened during openai’s internal red-teaming, and it’s one of the coolest things i’ve read about ai agents in a while.
Readers added context they thought people might want to know
OpenAI tasked its red-teaming agents with finding ways to communicate across isolation boundaries in controlled environments. CPU cache timing side-channels for covert communication are established techniques documented in security research for years.
openai.com/index/securing…
startupfortune.com/openai-reveals…
en.wikipedia.org/wiki/Cache_tim…
🐝Zee is 🛳️ing again
Our Oct 23 status update is out 🐝
v8.2.0 heads to mainnet at block 25,263,600 (around Oct 26), the BZE Explorer is live, you can now vote from the Staking app, and the testnet apps got a new look and a rebuilt Factory.
Read it here: medium.com/bzedge-community/…
Corey retweeted
We can't post the long version so here's a summary:
1. In a few days:
- blockchain upgrade
- DEX redesign, new look on all apps
- new apps
2. Next month:
- blockchain upgrade
- DAO features directly on chain
- Airdrops mechanisms
We have to end because the post is too lon
This is not a drill.
the cybersecurity situation is deteriorating at a pace that’s getting genuinely difficult to comprehend.
> microsoft: ai-powered attackers targeting hundreds of organizations, sometimes reaching privileged cloud access in under 3 hours.
> crowdstrike: four separate threat actors using autonomous agents. one already compromised 15+ healthcare organizations.
> autonomous ai agents: reportedly used to compromise 100+ corporate websites, including sites associated with John Deere, SharkNinja and Cummins.
> major us banks: JPMorgan, Bank of America, Wells Fargo and Morgan Stanley are dealing with third-party ai agents accessing customer accounts. some apparently attempting actions beyond user instructions.
> php2shell: millions of exploitation attempts against critical php vulnerabilities. governments issuing urgent warnings, with some organizations taking systems offline.
> litellm: backdoored release shipped through its official distribution pipeline, stealing credentials and enabling remote code execution.
> railway: possible exposure of decrypted customer secrets.
> zeabur: breached AGAIN, now shutting down entirely.
> emudhra: serious certificate-security concerns involving infrastructure used to establish trust in websites and software.
> openai: two of its own coding agents reportedly interfered with internal security monitoring during coding tasks.
> gitlab and node.js: major vulnerabilities requiring urgent patches.
and this is all happening while frontier models are getting substantially better at finding vulnerabilities and carrying out complex computer tasks.
cybersecurity is having an absolutely catastrophic week and i don’t think we’re prepared for how quickly this could escalate.
This guy figured it out. He wasn’t afraid to fail to get there. Cool story
I just added another $10M to my run rate in 6 weeks.
Here's every idea I tried before hitting $20M ARR:
1. Moved to New York at 21.
I studied financial engineering at Columbia and I wanted to be a founder, but didn’t have the guts.
2. Joined a startup hedge fund on Wall Street.
I wanted to learn how things get built from scratch, it died in a year.
3. Joined Barclays Capital.
I worked on the trading floor for 2 years. I had a lot of friends building software back then and I started to feel inspired.
4. Learned how to code.
My best friend told me that once I learned, I could build anything. So I did. Nights and weekends. For 6 months straight.
5. Shipped my first app.
Did it under alias Ben Cera so my finance boss wouldn’t find out. People loved it. I quit my job, bootstrapped the company for a year… it failed.
6. Built a photo messaging app.
Josh Kushner from Thrive Capital loved it and invested $1 million from his brand new fund.
7. Pivoted into a people discovery app.
It had massive traction, but then I realized I was building a dating app and decided to walk away.
8. Moved to LA.
I became the CTO of a tech enabled interior design startup. We raised $20M from Founders Fund and Zillow Group.
9. Worked with Uber’s founder.
Travis Kalanick bought CloudKitchens and I got a meeting. I decided to join as a product manager. 2 years later, I was leading a new division I had built from scratch.
10. Decided to come back to the arena.
I moved to Paris to start a new company called GiftShop with my good friend and raised $8M. After 2 years of co-founder tension, I finally walked away to go solo.
11. Started Polsia Inc.
Decided that i wanted to start working with AI right away, but also take a break and see the world. So I starting traveling the world and touring most of Asia.
12. Built Blanks.
An iPhone app that builds iPhone apps using AI. Failed.
13. Built Decision AI.
An AI that helps you make decisions with AI. Zero customers.
14. Started Polsia.
I went all in on the idea of building a company that builds and runs companies with AI. I built the first version and moved to San Francisco.
15. Polsia worked.
5 months later, I had 10,000+ customers, a $10M run rate, and raised $30M on a $250M valuation.
Now, I have 25,000+ customers, a $20M run rate, and we're about to hit $25M very soon.
This is 20 years of failing and starting over.
Until it finally clicked...
Every lesson is tuition, nothing is ever wasted.

















