@EpochAIResearch57m
We recorded over a thousand runs of Slay the Spire and its sequel for our recent benchmark, SpireClimb. Over the coming weeks, we'll publish...
@stevesi1h
Which of Bernie, AOC, or Mayor M have come out against flying cars? Greta? Is it a plank of the DNC or DSA yet? Which big city mayors ha...
@cursor_ai1h
Cloud agents can now build interactive canvases. Ask for a dashboard or report while the agent works, then share the finished canvas with y...
@agazdecki1h
Someone built a mobile billiards game that's been downloaded 4 MILLION times. And it's making $86K a year in profit! Just a simple Android...
@kiwicopple1h
if you went to @supabase Select then your badge is now part of a contest we're running until the end of the month 1/ hack it 2/ build somet...
@poteto1h
we've been cooking and shipping on the grok @bot team! check out what's new and improved https://twitter.com/bot/status/2111184270819803351
@stevesi1h
FAA “Tesla vehicle does not meet the definition of an airplane.” —CNN trying very hard to throw shade on the announce.
@thekitze2h
ooopsieee my bad https://gifs.so went from 10k gifs to 1+ million :) now doing everything that's possible for perf optim 🤓
@MTSlive2h
Notion AI lead @sarahmsachs explains why AI models have become 2–3x more capable in just a year, yet knowledge workers haven't seen the same...
@jposhaughnessy2h
The first page details all of the projects our 2026 @osvllc Fellows are working on, check it out 👇🏻 https://www.osvfellowship.com/winners
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Top tweets on tech twitter today
@sama · 5hWow the new roadster looks quite amazing, good job @elonmusk
@levelsio · 4hIn a similar scramble I did to jump on AI in late 2022 (moving from remote work and nomads to AI apps), I am now scrambling to chase any remaining moats
As AI companies will suck up everything else (in my humble opinion)
So for every moat left I see where I can pivot towards to that with my sites/apps
Proprietary data or content:
- I launched a http://nomads.com paid data API for companies from $2,490/year to $9,990/year, the city data is great because it's made by real members who for example review/like/dislike a city after visiting it, or being able to see which places are growing or shrinking (interesting of real estate, coworking, or gym investors)
- http://hoodmaps.com neighborhood data is very valuable and I'm building a paid API for that too, as well as including it in the Nomads API
Network effects / community:
- I made the http://nomads.com community free (before $99, now just $1 to avoid spam), the more people, the more network effect
Audience / distribution: you can get attention on demand
- I have an @X audience and I get paid well for it (about ~$15K/mo), but I've also diversified that with my blog http://levels.io's email list and Telegram subscribers, which is now 187,279 people who get daily/weekly/monthly email digests of my posts
Physical component: hardware, locations, IRL:
- I have been improving and promoting http://nomads.com meetups, there's now 8 meetups planned in the next 30 days, but is has to keep growing, I've also added fitness meetups etc.
- I've been using and working on http://hotelist.com a lot and improving it, it seems to fill a real void in booking sites that all suffer from rating inflation and filters that are not modern, I'm adding features I want and it seems that's working. Today I'm adding a filter for Longevity Hotels, that have a strength training gym, wellness area, blackout curtains, as a counter balance to the boomer hotels with champagne on check in and a gym with only treadmills etc. Hotelist is fundamentally IRL because hotels are IRL
- Not really IRL but http://vibejam.com is an annual event that's every year has ~1000 people participating vibe coding games and this year had over 1 million people playing the games, and AI companies really like to sponsor it because it's a great way to get exposure for their AI building tools
- I am building a http://pieter.com 1990s retro PC mini remake, like the SNES Mini, or the ModRetro M64, a hardware product I can sell marketed for nostalgia, especially after the last few weeks where it took off finally, I think there could be some market, and hardware is fun to try
- I sell merch on http://levelsio.com and make about $1K/mo from it, I haven't been very active on it but could expand this if I want
Capital: owning assets and investing
- I was already heavily invested in AI companies but have been even more with the acquisition of Cursor giving me $SPCX stock, I'll hold on to that, I think money will keep getting sucked from the traditional economy and replaced with paying AI companies money
- As a hedge, I've also put more money in bonds with IB01 ETF in case the AI bubble pops, $IB01 is a nice simple ETF for that
- I am actively looking at buying more land and real estate (especially coastal) as that's a scarce asset that will remain scarce post-AGI
- I am actively investing in startups with http://levels.vc although I'm wondering what startups are still valuable to invest in as Big AI and Big Tech suck up everything, if you look at the last YC batch, it's all "Cursor for {industry}" harnesses and hardware, I think robotics could be interesting to invest but it's unclear who will be the winner as ironically robots have a low barrier to entry. Most robots are just Chinese-made components put together with some vibe coded software by their Western founders!
- I am open to buyers for http://photoai.com and http://interiorai.com to increase the amount of capital I can invest elsewhere
Regulatory: licenses and legal barriers
- I am bad at this, and don't like regulation by nature. So I don't have anything here. And I don't think I will try pursue anything in here. I have friends building apps that work on getting EU subsidies or EU government program credits for emissions etc. But it's not my thing
So yes, chasing moats it is! Let's see if it works
@anthropicai · 4hNew from our STEM Fellows Program: Designing more efficient quantum circuits with Claude.
Given plain-language instructions, Claude Mythos 5 designed quantum circuits that improve on the best published ones, sometimes by an order of magnitude or more.
More efficient circuits reduce the resources needed by quantum algorithms, which could bring quantum computing applications in chemistry and materials science within reach sooner.
Read more: https://www.anthropic.com/research/designing-efficient-quantum-circuits
@nikitabier · 7hSometimes a demo is simply to remind the world that your competition has no desire to dream -- and no ability to evolve.- @poteto · 5hhow do you trust your agents' work more? copy this post/link and give it to your @bot or agent!
1. codebase improvements: this is just good software engineering - better architecture, stronger types and invariants, clear boundaries. agents love to copy what exists and take the shortest path, so make the easy thing the right thing. categorically eliminate problems through code and you won't need to think about it again.
2. static analysis: lint rules, tests, CI, verification (eg TLA+). very token efficient ways to catch issues ahead of time.
3. prose: comments, rules, AGENTS.md, skills - anything that can't be enforced and requires agent judgment. use it minimally, but do use /create-verification-skill.
4. human review: the hardest to scale. at the rate agents land code, it's pretty much impossible to thoroughly review every PR, so spend that effort on the highest leverage point, designing an environment where agents do the right thing by default.
this forms an inverse pyramid: you want most of your effort at the top, least at the bottom. codebase improvements are deterministic, making it more token efficient, and lets you sleep more soundly at night.
install https://github.com/cursor/plugins/tree/main/pstack and create a new Project:
1. look through my slack/chat messages and code review comments where i've given feedback on PRs, code, architecture
2. use /recall on my past transcripts to learn how i steer agents
3. /poteto-mode use /correct and /architect on past commits to find the most common pitfalls agents fall into, then propose a plan to rearchitect the code i own so it's more agent friendly. answer open questions with prototyping rather than defer to me, and back the plan with real data.
4. before you begin, use /sharpen + /in-your-own-words and confirm this prompt with me
