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gensyn

@gensynai

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gensyn unites all of the world's compute into a global machine learning cluster, usable by anyone at any time.

Joined April 2020
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@gensynai
gensyn
24 days
Watch our co-founder, @fenbielding , explain how the future of machine learning will lead us to a continuously updated digital representation of the world on the internet, and why this requires shifts in the way we access and allocate computational resources.
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@_grieve
Harry Grieve
2 days
Two big things in the calendar next week: 1. Our decentralised training round table with the great: @m_ryabinin - author of some of the seminal works in the space (e.g. Hivemind), @bloc97_ - behind the wildly popular Hermes model family (and DisTrO), @johannes_hage - who
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@gensynai
gensyn
2 days
Join us for a conversation on the current state of decentralised AI, with: @m_ryabinin from @togethercompute @bloc97_ from @NousResearch @_grieve from @gensynai @johannes_hage from @PrimeIntellect @mo_baioumy from @exolabs November 6 10:30 - 11:30 AM PST
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@gensynai
gensyn
2 days
Join us for a conversation on the current state of decentralised AI, with: @m_ryabinin from @togethercompute @bloc97_ from @NousResearch @_grieve from @gensynai @johannes_hage from @PrimeIntellect @mo_baioumy from @exolabs November 6 10:30 - 11:30 AM PST
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@christinetyip
Christine Yip
3 days
Ever wondered why there’s no compiler stack for training machine learning models? While inference has tools like @ApacheTVM for hardware optimisation, training doesn’t have the same kind of all-in-one compiler solution. Let’s break it down 🧵👇
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@gensynai
gensyn
15 days
Catch our co-founder @fenbielding on @Delphi_Digital Crypto x AI month talking about decentralised training with @IridiumEagle (from Ambient), @DillonRolnick (from @NousResearch ), @johannes_hage (from @PrimeIntellect ), and @Shaughnessy119 as moderator
@Delphi_Digital
Delphi Digital
15 days
🗣 “What decentralization really gives us is the opportunity for a properly modular infrastructure where you could actually compose those models together.” - @fenbielding ( @gensynai )
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@Ar_Douillard
Arthur Douillard
22 days
The distributed method and the learned architecture should be jointly designed
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@_jamico
Jeff Amico
22 days
Many assume decentralized model training will look like regular training, but distributed. In reality it will look different. Models will be more modular, less monolithic, with small adapters / pieces of the model running on edge devices, with a routing layer between them. Of
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@christinetyip
Christine Yip
23 days
What happens under the hood when you write high-level code to train a machine learning model? Here’s a breakdown of the 8 key steps. 🧵
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@_jamico
Jeff Amico
25 days
The idea that we'd just keep building bigger and bigger clusters was always absurd. It's now meeting reality. Progress will come from breakthroughs in distributed training, not building bigger training silos.
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@knowerofmarkets
knower
1 month
Good read from the Gensyn team here on distributed training
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@OFR_Dec28
Old Friends Reunion
1 month
OFR13th Fireside Chat Recap: Enabling Decentralized AI Compute in the Next Generation of Blockchain 🎙️ @fenbielding , Co-Founder @gensynai 🎙️ @momir_amidzic , Senior Director @IOSGVC Watch on Youtube: Read on Medium:
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@fenbielding
Ben Fielding
1 month
🧵 The internet is for models, not people LLM apps (ChatGPT, Perplexity, Claude) let us interact with most of the info on the old internet through conversation, rather than browsing next, those conversations will become personalised and local and the internet will be for agents
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@_jamico
Jeff Amico
1 month
Current state of decentralized training Where do things stand today? 👇
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@_jamico
Jeff Amico
1 month
Come chat about decentralized AI tomorrow!
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@a16zcrypto
a16z crypto
1 month
Covered in our latest newsletter: ✨Spotlight: AI x crypto ❓Why Ethereum ETPs (vs. ETFs) are so significant, plus answers to other FAQs 🛡️News you can use: A legal defense fund for creators using crypto 🌌Application to play (test): On games as reality 🔐Trend: Trusted
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@_jamico
Jeff Amico
1 month
Why decentralized training is the future Part 1: State of model training today Part 2: Recent breakthroughs in distributed training Part 3: Power of edge compute Part 4: Remaining challenges Part 1 below, including why training is so expensive 👇
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@gensynai
gensyn
1 month
Our co-founder, @fenbielding , delivered key insights as a featured speaker at panels during Token2049, driving forward discussions on crypto and AI. Together with other leaders in the industry, we continue to shape the future of decentralised AI. Don't miss the last events.👇 📅
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@gensynai
gensyn
2 months
If you're excited about decentralised AI, join us at the #Token2049 conference in Singapore next week. Here are over 10 events that explore the intersections of crypto and AI and where our co-founder @fenbielding will share insights as a featured speaker. 👇 🧵 /
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