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Phil McMannis Phil McMannis, CEO of Beacon Protocol, highlighted the data silos issue in Web3. Because data is created in various locations and requires multiple transfers for AI consumption, it leads to potential losses in trust and privacy, and also creates the problem of scaling. This is what Beacon...

49,667 görüntüleme • 1 yıl önce •via X (Twitter)

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Chainbase (✸,✸) profil fotoğrafı
Chainbase (✸,✸)1 yıl önce

Tired of fluff? We need real data to fuel AI Agents! Listen to key takeaways from our recent Chainbase Chat, featuring @luki_notlowkey and other amazing voices, as we explore the realities of working with real-world data and the strides we're making. Sound clips: ⬇️

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Chainbase (✸,✸)1 yıl önce

Matt Burke @emburco, Growth Lead at @flock_io, believes the future of AI models and agents relies on private, local, and highly sensitive data, making secure access crucial for advancing AI. FLock uses federated learning to distribute model hosting and data collection in a provable, verifiable way, unlike the centralized model of companies like Google and Apple.

Chainbase (✸,✸) profil fotoğrafı
Chainbase (✸,✸)1 yıl önce

Joe Bender @JosephBender, Head of Content at @DIMO_Network, highlighted how OEMs currently control users' sensitive driving data. To address this, DIMO is building a platform where users can collect their own data (via software or an OBD2 port hardware device) and be rewarded weekly. Their vision includes a marketplace where users share data with service providers for tailored services, essentially creating an "app store for cars" and empowering drivers.

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Chainbase (✸,✸)1 yıl önce

Justin, Head of Growth at @Hippocrat_io, explained the current situation where patients have no control over their data. Hippocrat aims to solve this by enabling true patient data sovereignty through advanced security measures such as de-identification, zero-knowledge proofs, trusted execution environments for private computation, and decentralized storage.

Chainbase (✸,✸) profil fotoğrafı
Chainbase (✸,✸)1 yıl önce

Alex DeConde @0xatd, Commercial Lead at @WeatherXM, stated that accurately capturing global temperatures requires about 36 million weather stations. Though scalable, satellite observations lack the localized accuracy of ground-based stations. Despite logistical hurdles, WeatherXM is focused on solving this difficult but critical challenge by expanding the deployment of weather stations.

SecBriefs | Making Cybersecurity Simple profil fotoğrafı
SecBriefs | Making Cybersecurity Simple1 yıl önce

Cybercriminals stole over 5 billion records in 2024 & collected 500 data points for every individual.🕵️‍♀️ Want to know what followed next?🧐 Think your data's safe? Think again. Cybersecurity matters. Learn it with Cybersecurity Dictionary for Everyone:

Shkina profil fotoğrafı
Shkina1 yıl önce

@philmcm @BeaconProtocol amazing

THE 🧢 py.0xπ 🧩 profil fotoğrafı
THE 🧢 py.0xπ 🧩1 yıl önce

@philmcm @BeaconProtocol Oh yea omg,I really like profile😈

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Wayne 🪂1 yıl önce

@philmcm @BeaconProtocol Don't let us down!

Marcus profil fotoğrafı
Marcus1 yıl önce

@philmcm @BeaconProtocol many playfulness ;Absolutely love💕 both you and your Shares Many thanks

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DaniZ1 yıl önce

@philmcm @BeaconProtocol meet ur real frens on ... romatic!

Alpha $liz profil fotoğrafı
Alpha $liz1 yıl önce

@philmcm @BeaconProtocol exciting to reach out

Benzer Videolar

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

Ben Jacobs

22,418 görüntüleme • 1 yıl önce