Eigen Labs

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Eigen Labs

Eigen Labs

@eigenlabs

The Post-AGI Lab that builds coordination technologies to preserve and expand individual agency.

Seattle, WA Beigetreten Eylül 2023
28 Folgt32.7K Follower
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Eigen Labs
Eigen Labs@eigenlabs·
Project Darkbloom explores a new model for AI inference. Using underused Apple Silicon as a distributed, privacy-first compute layer. With hardened execution, hardware-backed identity, and attestation built into the system design, Darkbloom is now live in research preview. An Eigen Labs research initiative.
Gajesh@gajesh

Wake the world's sleeping compute. Look at the Mac nearest to you. What's it doing? Probably nothing. There are 100M+ Macs with Apple Silicon out there. Apple quietly made them *really* good at inference. A $3k Mac runs a 60B model at 30 watts. Most sit idle most of the day. Meanwhile every AI API call passes through three layers of margin before reaching the hardware. We call this the Inference Tax. We got curious: what happens if you connect idle Macs directly to inference demand? This is Darkbloom. Private inference network for idle Macs. darkbloom [dot] dev -- paper + code open. Reply for invite + free credits ↓

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Eigen Labs
Eigen Labs@eigenlabs·
A pattern across our research experiments: The hard problems in AI are stopping looking like model problems. They're starting to look like coordination problems. - How work gets verified - How compute gets allocated - How agents identify each other - How trust scales without a central party Intelligence is the input. Coordination decides whether it's useful.
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Eigen Labs
Eigen Labs@eigenlabs·
The gap won't be between humans and AI, it will be between coordinated humans and the rest.
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Eigen Labs
Eigen Labs@eigenlabs·
@soubhik_deb This is the thesis. Coordinate the world’s latent compute!
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Sreeram Kannan
Sreeram Kannan@sreeramkannan·
Kudos to a16zcrypto for fund 5! Early this year A16Z shared their culture doc written by @bhorowitz which has been in place at A16Z forever. As I read this doc, I was extremely surprised to see paragraph after paragraph in lived experience with A16Z Crypto. Many of us founders write culture docs but it’s extraordinarily difficult to breathe life into. This one was alive. It’s a great case study for all companies. Some highlights: The long view of relationships Before I got my first check from A16Z I had pitched to them unsuccessfully 3 times: a previous startup I did, pitched for Seed and Series A for Eigen. But every single interaction with them was useful and insightful, particularly @alive_eth and @guywuolletjr who I pitched. They were extremely thoughtful and offered highly constructive feedback on what would be needed for them to build conviction on our project. First class business in a first class way Not only that, even after they passed on investing, they offered plenty of help. I always felt they wanted the industry to win. I gave the opening talk in @Tim_Roughgarden research series for the summer on Eigenlayer. Naturally when @alive_eth offered us a term sheet for Series B, the entire team showed up and I was thrilled and took it over higher valuation offers. There in good times and bad. We have been through plenty of good times and really hard times. The team is there with us no matter what. This is honestly one of the main reasons we weather though insanely difficult times! Venture is a team sport With A16Z crypto I never felt we got one partner alone. I always had the entire team on our side - Chris Dixon, Ali Yahya, Eddy Lazzarin, Jason Rosenthal - the whole team always trying to help teams win. It has been an immense pleasure to work with A16Z Crypto. If you are building anything onchain, I unequivocally recommend them!
Sreeram Kannan tweet mediaSreeram Kannan tweet mediaSreeram Kannan tweet media
Chris Dixon@cdixon

x.com/i/article/2051…

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EigenCloud
EigenCloud@eigencloud·
Verifiable Agent Trust with @googlecloud and @intel. As autonomous agents move capital and coordinate high-stakes workflows, promises aren’t enough. EigenCompute makes agent execution, identity, builds, and upgrades verifiable. Verifiable compute for the agentic era.
EigenCloud@eigencloud

x.com/i/article/2049…

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EigenCloud
EigenCloud@eigencloud·
Sleeping compute is waking up. 🗞️ Darkbloom now has open billing, provider payouts, privacy hardening, and rewards for users and providers. Come build the verifiable compute layer in public with us ↓
Gajesh@gajesh

shared this update with all our darkbloom users and providers just now. TL;DR : - harden privacy model (mirroring our paper) - billing is open (anyone can buy credits) - payouts to your bank - $1 credit to every user (cutoff: today morning) - $10 cash to providers we're building in public, taking public contributions and rewarding public contributions. to stay updated -- join our slack community. link below. waking up the world's sleeping compute. thank you for putting your trust in us!!!

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EigenCloud
EigenCloud@eigencloud·
What do payments, identity and agents have in common? India figured it out first! 🌁 Today in SF, @soubhik_deb and @sreeramkannan hosted @sujithnairk and @imsiddshetty of @nfh_technology & @finternet_org, the team reimagining global financial infra, for a brand new episode of the PostAGI Podcast. We went deep on: - India’s DPI playbook - PostAGI networks - Energy, compute and data sovereignty - Public rails for the agentic era And more! Full episode dropping soon 📻
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EigenCloud
EigenCloud@eigencloud·
AN AI AGENT WITH A WALLET ISN'T A TOOL ANYMORE. It earns. It spends. It persists without anyone logging in. The leap to an investable internet-native company is smaller than most people think. EigenCloud makes it possible. More from @davidpdennis ↓
EigenCloud@eigencloud

x.com/i/article/2047…

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EigenCloud
EigenCloud@eigencloud·
From missed subways to nearby e-bikes, transit402 gives agents real-time access to NYC transit data, so people can get where they’re going faster! One API for: - MTA arrivals - Bus predictions - Citi Bike availability An agent-native service built on EigenCloud 💛🗽
Matt Murray@mattmurrs

You missed the subway and need an e-bike across NYC, transit402.dev gets you there. Real-time MTA + Citi Bike data in one API. Pay just cents via x402 or MPP Add to your agent and get around NYC your way

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EigenCloud
EigenCloud@eigencloud·
🎥 @sreeramkannan's message at Vibecon was simple: AI is compressing decades of growth into years. India won’t just use the agentic future, it will build it. Proud to support @emergentlabs and the builders pushing this movement forward!
Sreeram Kannan@sreeramkannan

Pleasure to kick off VibeCon in Bengaluru! Vibe coding is democratizing software creation. We can and will democratize company creation as well! Too much fomo for missing out IRL! Thanks to @mukundjha and @emergentlabs for putting this conference together!

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EigenCloud
EigenCloud@eigencloud·
ICYMI: Project Darkbloom ⬇️
Gajesh@gajesh

Wake the world's sleeping compute. Look at the Mac nearest to you. What's it doing? Probably nothing. There are 100M+ Macs with Apple Silicon out there. Apple quietly made them *really* good at inference. A $3k Mac runs a 60B model at 30 watts. Most sit idle most of the day. Meanwhile every AI API call passes through three layers of margin before reaching the hardware. We call this the Inference Tax. We got curious: what happens if you connect idle Macs directly to inference demand? This is Darkbloom. Private inference network for idle Macs. darkbloom [dot] dev -- paper + code open. Reply for invite + free credits ↓

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Eigen Labs
Eigen Labs@eigenlabs·
Project Darkbloom explores a new model for AI inference. Using underused Apple Silicon as a distributed, privacy-first compute layer. With hardened execution, hardware-backed identity, and attestation built into the system design, Darkbloom is now live in research preview. An Eigen Labs research initiative.
Gajesh@gajesh

Wake the world's sleeping compute. Look at the Mac nearest to you. What's it doing? Probably nothing. There are 100M+ Macs with Apple Silicon out there. Apple quietly made them *really* good at inference. A $3k Mac runs a 60B model at 30 watts. Most sit idle most of the day. Meanwhile every AI API call passes through three layers of margin before reaching the hardware. We call this the Inference Tax. We got curious: what happens if you connect idle Macs directly to inference demand? This is Darkbloom. Private inference network for idle Macs. darkbloom [dot] dev -- paper + code open. Reply for invite + free credits ↓

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Entdecken

@soubhik_deb @sreeramkannan @bhorowitz @alive_eth @guywuolletjr @Tim_Roughgarden @googlecloud @intel