Fluence Labs / Conference talks

The Fluence protocol is close to launching (Q4) and will reward SPs for adding compute to the network. The compute added will first be rewarded for just being live, and quickly for serving real compute jobs. SPs and monetize underused CPU rescources by joining the Fluence network.

ChatGPT has taken the technology world by storm and set a record for the fastest product to cross one million users. While the ‘death of Google’ or ‘death of search’ is certainly overstated..for now.. the ability for AI to answer questions quickly, thoughtfully, thoroughly and correctly is remarkable. The next version will undoubtedly be even more powerful and reach tens of millions on its way to billions. But with this power and reach will come a freight train of scrutiny and controversy.
As these AI engines mature, they will be seen as a source of truth and every society and government has a view as to what ‘truth’ is regarding certain topics. The answers to delicate questions are already drawing attention; ChatGPT can the benefits of green energy but some users have found it hard to get answers for ‘the benefits of carbon based energy’. What would it have answered about masking in 2020 when Fauci didn’t recommend it? Would that answer be the same in late 2020 when the CDC strongly recommended masking for everyone? The sensitivities get even greater in countries with even more charged topics such as in India or Pakistan not to mention with the totalitarian regimes that enforce a particular narrative. We have already seen the US government’s interest in supporting or limiting certain topics on Twitter and a single source of truth will be even more threatening to governments, politicians and even communities.
How can a company or organization possibly manage all of the competing demands regarding particular answers? We can expect AI engines to be banned in some countries, but where it isn’t banned, it certainly will be the subject of regulation which will erode its credibility and likely will reduce the scope of topics it can address.
The first step in reducing company or government influence is an open source AI engine where a community can train the model transparently, and several projects like Bloom and EleutherAI are already in progress. But training is just the beginning; no matter the inputs, scrutiny will be on the outputs and any organization running the model will be subject to pressure. The only inoculation from this pressure is to decentralize the actual running of the AI engine by hosting it on a global decentralized network with no owners and no single points of control. Run on a decentralized network, any storage provider can host the model and any compute provider can process queries.
The good news is the technology already exists to make this a reality but how will it be implemented and by whom? And will an uncensored version be good? What are the drawbacks?
The future will likely see multiple AI engines competing to be the source of truth, and that is healthy. Linux provides a good example of how the global community can build a powerful alternative to centralized companies and the same may happen with AI but as important as building/training the AI.. is the running of it.

~~~~~~~~~~~~~~~~~~~~~~~~~~~

Fluence is the decentralized serverless platform & computing marketplace.

We build a global, permissionless, scalable, and secure alternative to centralized cloud computing platforms, powered by blockchain economics.

Build with us!
Fluence Developer Portal 🔹 https://fluence.dev/
Site 🔹 https://fluence.network/

Join us!
Discord 🔹 https://fluence.chat
Telegram 🔹 https://t.me/fluence_project

Follow us!
Twitter 🔹 https://www.twitter.com/fluence_project
Medium 🔹 https://medium.com/fluence-network
LinkedIn 🔹 https://www.linkedin.com/company/fluence-labs/

Speaker: Dmitry Kurinskiy

#DecentralizedStorage #filecoi̇n #filecoinfoundation #web3 #blockchain #DWeb #cryptocurrency #crypto #decentralization

Decentralized RPC (FRPC) significantly reduces dAPPs' single-point of failure and verification risks without requiring changes to existing dApp code. Moreover, enterprises can implement a wide range of control algos further decentralizing their dApps.

After providing storage capacity and data-onboarding, the third phase of the Filecoin roadmap is bringing compute capability to the data stored on the network. Tom Trowbridge of Fluence Labs gives us a glimpse into why this innovation will be transformative

Data is the lifeblood of decision making and many enterprises have been trying to evolve into data-driven organizations. Despite allocating significant resources to achieve transformations to data-driven concerns, progress has been limited. Outdated notions of centralized data storage and ill-fitting tooling such as traditional ETL, ELT and data pipelines in between are generally recognized as the root impediment to achieving the desired transformation. Contemporary notions such as (decentralized) Data Mesh and Data Product have been at the forefront of achieving rewards associated with data-driven transformations.

A revised notion and implementation of data pipelines plays a critical role in enabling the Data Mesh. We introduce a model for processing potentially large data streams in near real-time with distributed and eventually decentralized data pipelines. Data pipelines in our model are intended to verifiably integrate data from different sources and provide data preparation, transformation, integration and analytics suitable across data ownership boundaries. We provide an implementation example of our model and propose that modern, decentralized data pipeline models play an integral part in enabling (trustless) privacy-preserving technologies, such as FHE, at scale.

In this keynote presentation, Tom sheds light on the importance of decentralizing serverless compute and the role that Fluence is playing in this transformative field. He highlights the potential risks of centralized systems and the importance of building a decentralized ecosystem. He also discusses the challenges of scalability, verifiability, and compute capability, and how Fluence is addressing these challenges. The presentation concludes with a look into the future of Fluence, setting the stage for the next evolution in Web 3 technology.

DISCO SUMMIT, for the founders, teams and investors building the decentralized computing stack.
Hosted Apr 26, 2023 in Austin, TX by keiretsu and Web3 Working Group.

~~~~~~~~~~~~~~~~~~~~~~~~~~~

Fluence is the decentralized serverless platform & computing marketplace.

We build a global, permissionless, scalable, and secure alternative to centralized cloud computing platforms, powered by blockchain economics.

Build with us!
Fluence Developer Portal 🔹 https://fluence.dev/
Site 🔹 https://fluence.network/

Join us!
Discord 🔹 https://fluence.chat
Telegram 🔹 https://t.me/fluence_project

Follow us!
Twitter 🔹 https://www.twitter.com/fluence_project
Medium 🔹 https://medium.com/fluence-network
LinkedIn 🔹 https://www.linkedin.com/company/fluence-labs/

Join Tom Trowbridge, as he takes us on a journey through the landscape of web3 technology at the Disco Summit 2023. In this keynote presentation, Tom sheds light on the importance of decentralizing serverless compute and the role that Fluence is playing in this transformative field. He highlights the potential risks of centralized systems and the importance of building a decentralized ecosystem. He also discusses the challenges of scalability, verifiability, and compute capability, and how Fluence is addressing these challenges. The presentation concludes with a look into the future of Fluence, setting the stage for the next evolution in Web 3 technology.

DISCO SUMMIT, for the founders, teams and investors building the decentralized computing stack.
Hosted Apr 26, 2023 in Austin, TX by keiretsu and Web3 Working Group.

Web3 Working Group is a nonprofit organization that educates about web3 infrastructure and how it is distinct from cryptocurrency. We educate regulators and the public at-large about how web3 will permanently restore user control of cyberspace, replacing centralized control with transparent and permissionless protocols through incentives aligned with users. We focus on Blockchain / Cryptocurrency.

🎆FOLLOW US🎆
Website: https://web3wg.org
Twitter: https://twitter.com/web3wg
Tiktok: https://www.tiktok.com/@web3wg
Instagram: https://www.instagram.com/web3wg
Twitter: https://twitter.com/amyofalexandria
Instagram: https://www.instagram.com/amyofalexandria

AI's need for Decentralized Compute by Tom Trowbridge

ChatGPT has taken the technology world by storm and set a record for the fastest product to cross one million users. While the ‘death of Google’ or ‘death of search’ is certainly overstated..for now.. the ability for AI to answer questions quickly, thoughtfully, thoroughly and correctly is remarkable. The next version will undoubtedly be even more powerful and reach tens of millions on its way to billions. But with this power and reach will come a freight train of scrutiny and controversy.
As these AI engines mature, they will be seen as a source of truth and every society and government has a view as to what ‘truth’ is regarding certain topics. The answers to delicate questions are already drawing attention; ChatGPT can the benefits of green energy but some users have found it hard to get answers for ‘the benefits of carbon based energy’. What would it have answered about masking in 2020 when Fauci didn’t recommend it? Would that answer be the same in late 2020 when the CDC strongly recommended masking for everyone? The sensitivities get even greater in countries with even more charged topics such as in India or Pakistan not to mention with the totalitarian regimes that enforce a particular narrative. We have already seen the US government’s interest in supporting or limiting certain topics on Twitter and a single source of truth will be even more threatening to governments, politicians and even communities.
How can a company or organization possibly manage all of the competing demands regarding particular answers? We can expect AI engines to be banned in some countries, but where it isn’t banned, it certainly will be the subject of regulation which will erode its credibility and likely will reduce the scope of topics it can address.
The first step in reducing company or government influence is an open source AI engine where a community can train the model transparently, and several projects like Bloom and EleutherAI are already in progress. But training is just the beginning; no matter the inputs, scrutiny will be on the outputs and any organization running the model will be subject to pressure. The only inoculation from this pressure is to decentralize the actual running of the AI engine by hosting it on a global decentralized network with no owners and no single points of control. Run on a decentralized network, any storage provider can host the model and any compute provider can process queries.
The good news is the technology already exists to make this a reality but how will it be implemented and by whom? And will an uncensored version be good? What are the drawbacks?
The future will likely see multiple AI engines competing to be the source of truth, and that is healthy. Linux provides a good example of how the global community can build a powerful alternative to centralized companies and the same may happen with AI but as important as building/training the AI.. is the running of it.

Tom Trowbridge
co-founder
Flunece Labs
Tom Trowbridge is a co-founder of Fluence Labs and Hedera Hashgraph where he was president from inception, is a board member of Stronghold Digital Mining (NASDAQ: SDIG), an environmentally beneficial bitcoin miner and is invested in a number of leading Web3 projects. Fluence has developed and launched a distributed serverless compute network that frees computation from centralized cloud providers. It functions as a decentralized application platform that allows developers to host applications and work together, reusing both components and data without fear of being cut off or de-platformed. Tom started his career financing telecom and technology companies at Bear, Stearns & Co. and then began investing in early-stage technology companies at the private equity and venture capital firm Alta Communications. He spent four years at Goldman Sachs and left to build businesses at several other financial firms. Tom has a BA from Yale University and an MBA from Columbia University

TOKEN2049 Singapore 2022, Day 1
Tom Trowbridge, Fluence Labs co-founder

Panel Discussion at Peer-to-peer networks meetup
Host: David Aronchick, Director of Research and Development at Protocol Labs
Panelists:
Vukasin Vukoje, Filmine Network Founder
Justina Petraityte, Developer Success Lead at Ceramic/3Box Labs
Yondon Fu, Co-founder and a Head of Engineering at Livepeer
Evgeny Ponomarev, Fluence Labs co-founder

Why are there multiple data solutions with traction but little open p2p computing traction?
What happens if we get to a fully p2p compute and storage world?
what is needed to scale further in storage or compute?
what should investors be looking at in this space?

The talk by Tom Trowbridge, Fluence Labs co-founder
Singapore,
FIL Singapore conference 2022

Original source: https://youtu.be/FfU0fSII0m0?t=6746

No description provided.

No description provided.

Push-based approach with Aqua
Dmitry Kurinsky, Fluence Labs CTO
Compute Over Data Summit, Nov 2, 2022


Original recording https://youtu.be/WqquUQDgHj0

Fluence, Ceramic, Filmine, and Livepeer are sharing updates and having a discussion on the future of web3 infrastructure.

Building on the Web3 or peer-to-peer tech stack? Interested in ideating on how to solve the tech challenges for moving from Web2 to Web3?

​Let's gather to get an in-depth look into the latest research & tech insights from decentralized and open-source projects. You'll learn about the developments in web3 computing and storage, collaborative peer-to-peer stack, data composability, decentralized infrastructure, and much more.

​This evening is for developers and thought leaders interested in the Web3 tech stack and the challenges it faces today.

​What tech stack do developers need to build awesome Web3 applications?
​What does the tech stack look like today?
​What's missing for Web2 to migrate over?

​Bring your questions. Join the conversation. Listen to thought leaders.


At Village Underground Lisboa, Av. da Índia 52, 1300-299 Lisboa, Portugal

No description provided.

Building on the Web3 or peer-to-peer tech stack? Interested in ideating on how to solve the tech challenges for moving from Web2 to Web3?

Let's gather to get an in-depth look into the latest research & tech insights from the decentralized and open source projects. You'll learn about the developments in web3 computing and storage, collaborative peer-to-peer stack, data composability, decentralized infrastructure, and much more.

This evening is for developers and thought leaders interested in the Web3 tech stack and the challenges it faces today.

What tech stack do developers need to build awesome Web3 applications?
What does the tech stack look like today?
What's missing for Web2 to migrate over?
Bring your questions. Join the conversation. Listen to thought leaders.

Talks from the founders and core dev teams of Fluence, Radicle, Ceramic, and more, Q&A, networking, drinks & tasty local snacks.

Speaker: Evgeny Ponomarev, co-founder & COO at Fluence Labs
Paris P2P Festival #1

May 2022

Source: https://www.youtube.com/watch?v=NFcHnXR5alA&list=PLNeNFYqVeWnNy8KdZOdOTlzSkKoBWyfqO

Let's gather to get an in-depth look into the latest research & tech insights from the decentralized and open source projects. You'll learn about the developments in web3 storage and computing, scaling decentralized infrastructure, and much more.
Talks from the top web3 infrastructure projects, panel discussion, Q&A, networking, drinks & tasty local snacks.
The capacity of the venue is limited, please, sign up only if you're planning to join.

Rough agenda:

Talks by Fluence, Protocol Labs, Livepeer, Radicle and Arweave,
Panel Discussion led by Lasse Clausen from 1kx
Networking & socializing

Let's gather to get an in-depth look into the latest research & tech insights from the decentralized and open source projects. You'll learn about the developments in web3 storage and computing, scaling decentralized infrastructure, and much more.
Talks from the top web3 infrastructure projects, panel discussion, Q&A, networking, drinks & tasty local snacks.
The capacity of the venue is limited, please, sign up only if you're planning to join.

Rough agenda:

Talks by Fluence, Protocol Labs, Livepeer, Radicle and Arweave,
Panel Discussion led by Lasse Clausen from 1kx
Networking & socializing

Let's gather to get an in-depth look into the latest research & tech insights from the decentralized and open source projects. You'll learn about the developments in web3 storage and computing, scaling decentralized infrastructure, and much more.
Talks from the top web3 infrastructure projects, panel discussion, Q&A, networking, drinks & tasty local snacks.
The capacity of the venue is limited, please, sign up only if you're planning to join.

Rough agenda:

Talks by Fluence, Protocol Labs, Livepeer, Radicle and Arweave,
Panel Discussion led by Lasse Clausen from 1kx
Networking & socializing

Why peer-to-peer?
How peer-to-peer? Why now
Why (not) blockchain?
Open source is the answer
How does crypto fit in?

Speaker: Tom Trowbridge
The slush side event, December 2021, Helsinki, Finland

Let's gather to get an in-depth look into the latest research & tech insights from the decentralized and open source projects. You'll learn about the developments in web3 storage and computing as well as scaling decentralized infrastructure.

The event is supported by the Ethereum Finland community.

Talk, Tom Trowbridge, Fluence Labs, https://fluence.network/
Talk, Vukasin Vukoje, Protocol Labs, https://protocol.ai/

Link to the event https://web3slush.eventbrite.com