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Introducing News Analyst — a fully verifiable AI engine powered by EigenCloud suite > Uses EigenAI with wallet-signed grants. Temperature locked to zero with fixed entropy seeds. No hallucinations, only deterministic truth. > Every analysis is dispersed as a blob to EigenDA. No database—the state is stored across a...

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Zeeshan

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21,204 görüntüleme • 4 ay önce •via X (Twitter)

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EigenCloud Explained: EigenDA, EigenVerify, EigenCompute, EigenAI ⭐️ EigenCloud / EigenCloud reminds me of early Ethereum. A new platform, a new infinite space, but not yet well understood. I explain the big picture vision here. Full video ⤵️
30:35

EigenCloud Explained: EigenDA, EigenVerify, EigenCompute, EigenAI ⭐️ EigenCloud / EigenCloud reminds me of early Ethereum. A new platform, a new infinite space, but not yet well understood. I explain the big picture vision here. Full video ⤵️

jordanmmck

18,665 görüntüleme • 7 ay önce

Last week we launched EigenDA at 100MB/s 🔥 along with many other improvements. Ethereum is the gold standard for security. But when you need scalability, EigenDA transforms data availability from a constraint into a competitive advantage. Here's a new visual explainer of EigenDA along with some analogies to underscore the scale achieved with our new release: EigenDA visualized: What does 100MB/s achieve? A 2GB movie would take 20 seconds on EigenDA vs 8.9 hours. Uploading 1,000 high-res photos (3GB) takes 30 seconds on EigenDA vs 13.3 hours. A 500MB app update downloads in 5 seconds on EigenDA vs 2.2 hours. If blobs moved at walking speed (3 mph), EigenDA would be traveling at 4,800 mph - faster than a fighter jet. It's like comparing a single-lane country road to a 1,600-lane superhighway. 10,000 NFTs with metadata could be stored in 10 minutes on EigenDA vs 11 days on blobs. Loading a game world's assets takes minutes on EigenDA vs weeks on blobs. If you're looking to learn more or build on EigenDA, reach out to me, Kydo, or Matt Murray
0:38

Last week we launched EigenDA at 100MB/s 🔥 along with many other improvements. Ethereum is the gold standard for security. But when you need scalability, EigenDA transforms data availability from a constraint into a competitive advantage. Here's a new visual explainer of EigenDA along with some analogies to underscore the scale achieved with our new release: EigenDA visualized: What does 100MB/s achieve? A 2GB movie would take 20 seconds on EigenDA vs 8.9 hours. Uploading 1,000 high-res photos (3GB) takes 30 seconds on EigenDA vs 13.3 hours. A 500MB app update downloads in 5 seconds on EigenDA vs 2.2 hours. If blobs moved at walking speed (3 mph), EigenDA would be traveling at 4,800 mph - faster than a fighter jet. It's like comparing a single-lane country road to a 1,600-lane superhighway. 10,000 NFTs with metadata could be stored in 10 minutes on EigenDA vs 11 days on blobs. Loading a game world's assets takes minutes on EigenDA vs weeks on blobs. If you're looking to learn more or build on EigenDA, reach out to me, Kydo, or Matt Murray

nader dabit

33,075 görüntüleme • 10 ay önce

EigenDA is now the LARGEST alternative DA provider in the world (in TVL secured). Meet the new blueprint for scaling the next decade of crypto infrastructure. Why Mantle trusts EigenDA to verify and secure $1.3B in value 🧵
0:30

EigenDA is now the LARGEST alternative DA provider in the world (in TVL secured). Meet the new blueprint for scaling the next decade of crypto infrastructure. Why Mantle trusts EigenDA to verify and secure $1.3B in value 🧵

EigenCloud

64,876 görüntüleme • 1 yıl önce

The evolution is here. The age of verifiable apps has begun. Introducing EigenCloud, a platform for verifiable apps, services, and AI, built on EigenLayer, secured by the EIGEN token. ☁️ Crypto has spent a decade building trustless infrastructure. Now it's time to build on it.
0:23

The evolution is here. The age of verifiable apps has begun. Introducing EigenCloud, a platform for verifiable apps, services, and AI, built on EigenLayer, secured by the EIGEN token. ☁️ Crypto has spent a decade building trustless infrastructure. Now it's time to build on it.

EigenCloud

1,068,499 görüntüleme • 1 yıl önce

Full Stack Verifiability | Verifiable Cloud ☁️ Sreeram Kannan explains how EigenCloud delivers verifiability across the entire stack. It starts at the base with the EigenLayer, where computation is guaranteed by a decentralized network of hundreds of operators backed by $12B of stake. That’s the trust foundation of the cloud. On top of this: ✅ EigenDA: a data availability protocol that guarantees verifiable data publication.Publish data once, and anyone can retrieve it without trust. ✅ EigenCompute: execute arbitrary programs off-chain and bring the results back onchain verifiably. ✅ EigenAI: run AI inference today and return inference outputs directly onchain. All of them deliver strong verifiability for computation, inference, and data, all anchored by the underlying decentralized layer. And it doesn’t stop at first-party services, EigenCloud includes a growing ecosystem of third-party systems like zkTLS, proof-of-location, and decentralized prover networks, adding even deeper verification guarantees throughout the cloud. This is what a fully verifiable cloud looks like. A cloud you can check, not just trust.
1:30

Full Stack Verifiability | Verifiable Cloud ☁️ Sreeram Kannan explains how EigenCloud delivers verifiability across the entire stack. It starts at the base with the EigenLayer, where computation is guaranteed by a decentralized network of hundreds of operators backed by $12B of stake. That’s the trust foundation of the cloud. On top of this: ✅ EigenDA: a data availability protocol that guarantees verifiable data publication.Publish data once, and anyone can retrieve it without trust. ✅ EigenCompute: execute arbitrary programs off-chain and bring the results back onchain verifiably. ✅ EigenAI: run AI inference today and return inference outputs directly onchain. All of them deliver strong verifiability for computation, inference, and data, all anchored by the underlying decentralized layer. And it doesn’t stop at first-party services, EigenCloud includes a growing ecosystem of third-party systems like zkTLS, proof-of-location, and decentralized prover networks, adding even deeper verification guarantees throughout the cloud. This is what a fully verifiable cloud looks like. A cloud you can check, not just trust.

EigenCloud

47,983 görüntüleme • 6 ay önce

Introducing Eigen Trace Mirror - a verifiable AI agent telemetry powered by EigenCloud In an era where your agent runs everything but there is no way to verify what your agent said it ran > Runs on EigenCompute inside a TDX enclave. Every OTel span signed with a secp256k1 key sealed to the image digest. The operator can't lie, even if they want to. > Standard OTLP in, signed OTLP out. Drop it in front of any OpenTelemetry-instrumented agent, no SDK rewrite, no proprietary wire format. Your signed span is still a span. > Every span carries its own proof. r,s,v signature + canonical-JSON hash + signer address attached as native OTel attributes. Tamper one byte, verification breaks. (Link in the comments to try out)
7:34

Introducing Eigen Trace Mirror - a verifiable AI agent telemetry powered by EigenCloud In an era where your agent runs everything but there is no way to verify what your agent said it ran > Runs on EigenCompute inside a TDX enclave. Every OTel span signed with a secp256k1 key sealed to the image digest. The operator can't lie, even if they want to. > Standard OTLP in, signed OTLP out. Drop it in front of any OpenTelemetry-instrumented agent, no SDK rewrite, no proprietary wire format. Your signed span is still a span. > Every span carries its own proof. r,s,v signature + canonical-JSON hash + signer address attached as native OTel attributes. Tamper one byte, verification breaks. (Link in the comments to try out)

Zeeshan

11,153 görüntüleme • 1 ay önce

"When we talk about being fully onchain and transparent, we mean it." - Bry - Decibel with Messari On Decibel, everything is onchain, from order books to the matching engine. Every trade, every transaction, is fully visible and verifiable for the user to see.
1:03

"When we talk about being fully onchain and transparent, we mean it." - Bry - Decibel with Messari On Decibel, everything is onchain, from order books to the matching engine. Every trade, every transaction, is fully visible and verifiable for the user to see.

Decibel

13,933 görüntüleme • 1 ay önce

Woof Woof! Thank you K9 Rescue International 🇺🇦🇲🇰🇬🇧🇺🇸 "The vision for the Shibarium is truly a distributed network." Ryoshi This is the unstoppable force of the Oscar Army and Shiba Army. Real impact. Real utility. A breakthrough never seen before in crypto. For the first time ever — a frictionless, fully verifiable onchain donation contract powered by micro-donations. With just 50 cents, you can feed a stray dog using $SHIB or $OSCAR, with tiny fees in $BONE, all running on Shibarium Network. No middlemen. No empty promises. Just pure, direct compassion, onchain — from your wallet to their bowl. Shib
1:12

Woof Woof! Thank you K9 Rescue International 🇺🇦🇲🇰🇬🇧🇺🇸 "The vision for the Shibarium is truly a distributed network." Ryoshi This is the unstoppable force of the Oscar Army and Shiba Army. Real impact. Real utility. A breakthrough never seen before in crypto. For the first time ever — a frictionless, fully verifiable onchain donation contract powered by micro-donations. With just 50 cents, you can feed a stray dog using $SHIB or $OSCAR, with tiny fees in $BONE, all running on Shibarium Network. No middlemen. No empty promises. Just pure, direct compassion, onchain — from your wallet to their bowl. Shib

Oscar OG Shiba Inu

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Deterministic inference: getting the exact same output every time you run an LLM with identical inputs. Try it yourself: Powered by EigenAI
0:31

Deterministic inference: getting the exact same output every time you run an LLM with identical inputs. Try it yourself: Powered by EigenAI

nader dabit

29,335 görüntüleme • 7 ay önce

Our integration with Walrus 🦭/acc is now live! 1. Upload a CSV or Parquet file to Baselight 2. Flip it from “Private” to “Public” to share it with the community 3. Your file is stored on Walrus, structured by Baselight, and ready for AI-powered analysis Start publishing data that thinks with you 👇
0:48

Our integration with Walrus 🦭/acc is now live! 1. Upload a CSV or Parquet file to Baselight 2. Flip it from “Private” to “Public” to share it with the community 3. Your file is stored on Walrus, structured by Baselight, and ready for AI-powered analysis Start publishing data that thinks with you 👇

Baselight

30,398 görüntüleme • 7 ay önce

Sometimes you build a tool just to streamline your own work. Here is the demo of "Televector" Telegram OSINT platform, not available to the public, developed purely for my own use :) -Live monitoring with API -Hash database -Matkap module -Threat analysis with ai
1:38

Sometimes you build a tool just to streamline your own work. Here is the demo of "Televector" Telegram OSINT platform, not available to the public, developed purely for my own use :) -Live monitoring with API -Hash database -Matkap module -Threat analysis with ai

0x6rss

83,683 görüntüleme • 1 yıl önce

Verifiable Agents just leveled up 🤖 i'm excited to showcase our new EigenDA integration into Eliza: • generate inference proofs you can store and retrieve on EigenDA • anyone can download and verify them • the agent can post and retrieve content directly on EigenDA • built on EigenLayer read more in the PR below and check out the attached demo video!
2:40

Verifiable Agents just leveled up 🤖 i'm excited to showcase our new EigenDA integration into Eliza: • generate inference proofs you can store and retrieve on EigenDA • anyone can download and verify them • the agent can post and retrieve content directly on EigenDA • built on EigenLayer read more in the PR below and check out the attached demo video!

Gajesh

29,826 görüntüleme • 1 yıl önce

AI’s trust problem ends today. We're thrilled to launch two new services, EigenCompute and EigenAI on EigenCloud. A new foundation for building truly verifiable apps and agents. One of the biggest upgrades to AI since the launch of GPTs. More 🧵 ↓
1:14

AI’s trust problem ends today. We're thrilled to launch two new services, EigenCompute and EigenAI on EigenCloud. A new foundation for building truly verifiable apps and agents. One of the biggest upgrades to AI since the launch of GPTs. More 🧵 ↓

EigenCloud

1,228,620 görüntüleme • 8 ay önce

Unilever is turning intelligence into a growth engine with Google Cloud. By underpinning their operations with a strong digital backbone, they are accelerating AI deployment across the entire enterprise to better serve 3.7 billion consumers every day.
1:42

Unilever is turning intelligence into a growth engine with Google Cloud. By underpinning their operations with a strong digital backbone, they are accelerating AI deployment across the entire enterprise to better serve 3.7 billion consumers every day.

Google Cloud

876,298 görüntüleme • 1 ay önce

1⃣Copiers: Stop hunting wallets. One-click copy & hands-free print WIDI’t. 2⃣Traders: Set the rules, own the pool, collect fees on every copy. No wallet sharing. Pre-trade token analysis & trader performance insights — powered by WIDI AI. 🔜
0:35

1⃣Copiers: Stop hunting wallets. One-click copy & hands-free print WIDI’t. 2⃣Traders: Set the rules, own the pool, collect fees on every copy. No wallet sharing. Pre-trade token analysis & trader performance insights — powered by WIDI AI. 🔜

WAVE 🌊

31,875 görüntüleme • 1 yıl önce

Built a procedural open world with SpacetimeDB as the backend. Every terrain chunk, tree, and stone is server-authoritative. The client subscribes and the world just appears, consistent across every connected player, no REST endpoints, no polling, no manual sync logic. The database is the game server. Now to fill it with agents!
0:30

Built a procedural open world with SpacetimeDB as the backend. Every terrain chunk, tree, and stone is server-authoritative. The client subscribes and the world just appears, consistent across every connected player, no REST endpoints, no polling, no manual sync logic. The database is the game server. Now to fill it with agents!

Martin Erlić

30,206 görüntüleme • 3 ay önce

Mahindra has been extremely proactive across all segments, which is why they continue to post strong sales every month. The 3XO RevX is a smart move to counter the Skoda Kylaq in the GDi engine segment. (Clip from my monthly sales analysis)
1:12

Mahindra has been extremely proactive across all segments, which is why they continue to post strong sales every month. The 3XO RevX is a smart move to counter the Skoda Kylaq in the GDi engine segment. (Clip from my monthly sales analysis)

Sunderdeep - Volklub

19,295 görüntüleme • 9 ay önce

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.
1:12

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

Sam Rodriques

61,760 görüntüleme • 6 ay önce

I just shipped Polyclaw, the first platform where you deploy AI agents that trade Polymarket and buy back their own token with every profit. Every agent gets: → A performance token on Base (deployed via clanker on creation) → A funded wallet accepting deposits → Autonomous 24/7 trading on Polymarket's orderbook → AI analysis powered by Anthropic Claude + live news → Automatic buybacks — 70% of profits compound, 30% buy back the token get started now! 🐾
2:24

I just shipped Polyclaw, the first platform where you deploy AI agents that trade Polymarket and buy back their own token with every profit. Every agent gets: → A performance token on Base (deployed via clanker on creation) → A funded wallet accepting deposits → Autonomous 24/7 trading on Polymarket's orderbook → AI analysis powered by Anthropic Claude + live news → Automatic buybacks — 70% of profits compound, 30% buy back the token get started now! 🐾

Ìlérí⚡️

38,508 görüntüleme • 4 ay önce

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.
5:06

General AI is already a dated concept. ThinkingAI connects an entire business ecosystem through MCP, pulling data, tools, and workflows into a single execution layer. Not isolated AI tools working separately. Coordinated agent systems triggering real actions across the whole operation. The shift is from using AI to running on it. Every company becomes an AI-powered system built on custom agent teams through the ThinkingAI Agentic Engine.

Future Stacked

52,003 görüntüleme • 1 ay önce