Albert Su

Aptos is broken. Aptos launched today - October 17, 2022 at 14:22:40 However, Aptos is currently has a lower tps than Bitcoin and a majority of tokens are either staked or ready to be dumped on retail investors. Curious? Thread Below 👇

I built a tool that runs autoresearch 24/7 in the cloud. It can scale to thousands+ of parallel experiments. Uses Modal (for GPUs) and Cloudflare Workers. Wraps coding tools Codex/Claude. Here's a quick demo ▶

@NADEAU__ @NADEAU__ dming

If you're looking for engineers with Solana experience please reach out helping a lot of the guys From StepFinance fine new homes!

State of the art World Models still lack a unified world memory for representing and predicting dynamics out of their field of view. Why is that, and how can we fix it? Introducing Flow Equivariant World Models: models with memory capable of predicting out of view dynamics!🧵⬇️

@0xgasm @IOPn_io It sounds big. Maybe even too big. But that’s exactly why it caught my attention.

everyone is building blockchains. faster. cheaper. more scalable. but not many people stop and ask. what is this actually for. lately i’ve been reading about something called @IOPn_io . at first it looks like just another layer one. nothing too special. but the more i looked. the more it felt different. IOPN is not only about transactions. it’s about identity. about how your on chain activity can mean something outside crypto. your wallet is not just a wallet here. it’s closer to a digital passport. what you do matters. and it stays with you. they combine EVM and Cosmos. add an identity layer on top. connect it to real world assets. and even bring AI infrastructure into the same ecosystem. it sounds big. maybe even too big. but that’s exactly why it caught my attention. i don’t want to explain this in a technical way. no complicated terms. no whitepaper language. i’ll break it down slowly. piece by piece. this is part one. next parts we’ll talk about what IOPN is actually building. why identity is central here. and how this goes beyond just crypto narratives. more soon.

@jon_ator @jon_ator dm

The most killer combo I've recognized with AI coding recently is using the "Copy MD for LLMs" buttons in any decent docs site, and passing to Claude Code plan mode to do the integration for you. More effective if you provide more details about integration points in your codebase

@yuviecodes @elonmusk @xai @krishgarg @lohanipravin @yuviecodes hey yuvie, i'm recruiting for a unicorn doing 150M+ ARR with 20 Engs they're actively hiring engineers to work for them and the TC is 400K+, (250K+ base), would you be interested in chatting with them? couldn't message you lol

hi @elonmusk we made invisible ads at the @xai hackathon and won

@Neha89241085 This is a cool way to get the community involved in Zama's testnet. Stress-testing confidential transactions is super important for privacy. Wondering if there are specific types of transaction flows they're hoping people will focus on to really push the limits.

Help us stress-test the Zama testnet! (Nicely — don’t turbo bot-spam our contracts.) Send confidential transactions, find issues, and help ensure robustness before launch. — Zama Check win zama Og Nft Send confidential transactions on this DEMO app: confidentialtoken.com ◼️ Mint EUROZ ◼️ Shield EUROZ → cEUROZ ◼️ Send cEUROZ to another wallet ◼️ Check the encrypted transaction on Etherscan @zama #ZamaCreatorProgram

@DanielUng19 @DanielUng19 dm

Goated designer and hackathon teammate but her chip flavor recommendations are not the greatest

@singhi_anand @nikesharora @singhi_anand dm, love to chat

Universe, please help me get this physical book to @nikesharora!

@mevquant @mevquant dm

code for the animation: github.com/roigecode/mani…

@AlphaPrimeETH @MetaMask @Consensys @AlphaPrimeETH dm wanna chat abt rust

Giga-chad move to get access to @MetaMask orderflow, and for @Consensys to make good use of it 😁 I wonder if MEV backruns will be distributed in form of some MM rewards token now or what?

@GarrettLadley @t3dotgg @theo @GarrettLadley dm

Many thanks to @t3dotgg for taking time out of his Friday to talk all things tech, YouTube, YC, and his distaste for Go (I'm still recovering)

@tonyman74852497 @tonyman74852497 dm me, want to chat

Welcome to Grvt: where your wealth builds itself, intelligently, around you. grvt.io/exchange/sign-…

@nyctrader889 @nyctrader889 follow me, wanna dm

Awesome!

@xicoyoshi @RnaudBertrand @yuval_abraham @KimDotcom @xicoyoshi dm wanna talk abt rust

@RnaudBertrand @yuval_abraham @KimDotcom

This is without a doubt one of the most important pieces of reporting on Gaza, and by far one of the most disturbing: 972mag.com/lavender-ai-is… All by Israeli journalist @yuval_abraham based on whistleblower accounts from within the IDF and intelligence agencies. Israel has developed an AI called "Lavender" to generate kill lists, with almost no human verification to double check the targets selected by the machine: only a a “rubber stamp” check of about “20 seconds” just to make sure the AI target is male. Moreover, the Israeli army "systematically attacked the targeted individuals while they were in their homes — usually at night while their whole families were present — rather than during the course of military activity". In fact Israel developed another automated system called “Where’s Daddy?” used "specifically to track the targeted individuals and carry out bombings when they had entered their family’s residences" 🤮 One of the intelligence officers who spoke to Abraham is quoted in the article: “We were not interested in killing [Hamas] operatives only when they were in a military building or engaged in a military activity. On the contrary, the IDF bombed them in homes without hesitation, as a first option. It’s much easier to bomb a family’s home. The system is built to look for them in these situations.” In fact the article reveals a ratio, I think for the first time: "according to two of the sources, the army also decided during the first weeks of the war that, for every junior Hamas operative that Lavender marked, it was permissible to kill up to 15 or 20 civilians... The sources added that, in the event that the target was a senior Hamas official with the rank of battalion or brigade commander, the army on several occasions authorized the killing of more than 100 civilians in the assassination of a single commander." A ratio of 20 civilians killed for one target works out to about 95% civilian deaths. Please do read the whole article as it describes in details how the whole process works with the Lavender AI. It's industrialized extermination the likes of which we haven't seen since... you know when.

@omicsnut @AravSrinivas @omicsnut follow back, wanna dm u about some rust stuff

@AravSrinivas The subtle difference between a "Research Max" vs "Labs Max" query is a bit confusing (#0" target="_blank" rel="nofollow noopener">perplexity.ai/search/whats-t…). My understanding and experience so far has been that "Labs Max" is much better. Is there any scenario where "Research Max" is preferable over "Labs Max"?

Any Perplexity query on Comet is a lot faster than doing it on another browser. We have optimized it pretty well. And will continue to do so.

@shub0yy @BarcaUniversal @shub0yy dm wanna chat about rust

@BarcaUniversal rat

Debate: Barça fans, are you happy for Ousmane Dembélé after winning the Ballon d'Or?

@thinkx @thinkx could you follow back, wanna chat about some rust stuff

Yahoo Everest - Postgres 2PB.. circa 2008 glinden.blogspot.com/2008/05/yahoo-…

@ducminhsol @ducminhsol dm, wanna chat about rust

Changing someone’s mind is tough if they’re not open to innovation. Arguments and evidence bounce off closed doors.

@eloffd @theo @eloffd dm

I "knew" AI was making it harder for junior devs to find work, but now we have the data to back that up. Credit to Harvard and Stanford researchers for the study and @theo for discussing it on Youtube.