macrozack (τ, τ) 🚀

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macrozack (τ, τ) 🚀

macrozack (τ, τ) 🚀

@macrozack

Builder @bitstarterai Director @MacrocosmosAI Editor @taotimesdotai Convening Bittensor's @ExploitSummit 🧩 https://t.co/9k3wunNQwr 🚀

London Katılım Mayıs 2025
720 Takip Edilen1.5K Takipçiler
Keith Singery
Keith Singery@KeithSingery·
I want a founder who gets up early I want a founder who stays up late I want a founder with uninterrupted prosperity Who uses a machete to cut through red tape Bittensor $TAO
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bitstarter
bitstarter@bitstarterAI·
Bitstarter's next launch: Live in the Louvre 🏛️ x4 finalists pitching. x4 judges on the panel. x1 subnet for the winning team. ...and who decides? You: by pledging to the team you believe in. 🇫🇷 Join us June 3rd @proofoftalk ⚡ Livestream via X
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bitstarter
bitstarter@bitstarterAI·
☑️ Machine Learning support, activated Our ML teams need to do more than win on Bittensor - they need to succeed beyond it. revela.io can make that happen. An elite ML developer ready to build production-grade AI architectures - and scale our teams to success.
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macrozack (τ, τ) 🚀
macrozack (τ, τ) 🚀@macrozack·
Launching a start-up live in the Louvre, June 2-3 - together with Bittensor’s best
Proof of Talk@proofoftalk

Proof of Pitch, Bittensor Track - Live Crowdfunding with @bitstarterAI Subnet teams, this is your launchpad. For the first time, Proof of Talk and Bitstarter are bringing live Bittensor crowdfunding to the Louvre Palace. Selected teams will pitch on stage in front of some of the world’s leading investors, capital allocators, and Bittensor ecosystem leaders, with the opportunity to receive funding through TAO pledges live from the room and beyond. Jury lineup: @mogmachine, Founder & CEO, @taostats @mikecontango, Co-Founder & CEO, @generaltensor @JacobSteeves, Co-Founder, @opentensor @macrozack, Founder, @bitstarterAI For subnet teams preparing to move to mainnet, this is the ultimate stage: visibility, capital, ecosystem validation, and live community backing. June 2–3, Bittensor Track at Proof of Talk.

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macrozack (τ, τ) 🚀
macrozack (τ, τ) 🚀@macrozack·
Bringing together Bittensor's builders across machine learning - and asking how we find more people like them Publishing articles like this reminds me of how much talent there is in our network 👌
TAO Times ⚡️@taotimesdotai

There's more to Bittensor than AI. But for Bittensor to succeed, we need the best machine learning teams building right here on TAO. For our first Roundtable, we ask how to get the best AI start-ups on-chain - and on-track to the top. So how can we do it? Read on 🧵

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The Albanian Writer
The Albanian Writer@TheAlbWriter·
@macrozack @elonmusk I have liste to the whole podcast and there is zero mention of $TAO. Why are posting fake shit like this ? what kind of man does this ?
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Cade O'Neill
Cade O'Neill@CadeONeill·
Which $TAO Subnet deserves more attention? Targon? lium? Affine? Score? Vanta? deprecated? iota? Gradients? Hippius?
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bitstarter
bitstarter@bitstarterAI·
Every team, evaluated 💯 Our first Subnet Update is here Read the deck for April's portfolio perspective featuring @QuasarModels @djinn_gg @handshake_58 and @adtao_ppcrebel Monthly metrics, top achievements, and more - link below 🔽
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Proof of Talk
Proof of Talk@proofoftalk·
Chris Zacharia @macrozack is the founder of Bitstarter @bitstarterAI, Bittensor’s first decentralised crowdfunding platform, built to help new subnets connect with the right capital, people, and ecosystem support. This summer, Chris will be showcasing Bitstarter's accelerator by launching a new subnet team live in the Louvre. Before Bitstarter, Chris was part of the founding team at @MacrocosmosAI. Now he is building one of the key platforms helping subnet teams go from idea to launch, with the support they need to get off the ground properly. At the Louvre, he will be bringing some of the strongest subnets in the ecosystem to pitch at Proof of Talk, another reflection of the work Bitstarter is doing behind the scenes to back the next generation of teams. This summer Chris joins us at the Louvre. June 2–3, Bittensor Track at Proof of Talk. Use code TAO for 30% off tickets 👇
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Tom B
Tom B@Tom_dot_b·
We might be close to proving that @stitch3_ai actually scales. We proved the model worked in the Bittensor ecosystem. What we didn’t know was whether we could repeat it for new ecosystems. Now miners are joining from our new prediction markets eco with increasing speed - 55 so far. If it works in one new eco, no reason it can’t work in many. And there are MANY. We built the tech to scale profitably. Time to scale it is approaching.
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bitstarter
bitstarter@bitstarterAI·
Machine Learning on Bittensor. Incubated by Bitstarter. Announced live on @TWiStartups featuring @alex, @Lons, @macrozack, and @mccrinbc, our new track is: ☑️ Backed by @const_reborn ☑️ Built for the best ML start-ups ☑️ Subnet registration, development, and infra included 👀
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Allan
Allan@allan_quantifi·
Very interesting take from @macrozack at the end of this extract: (paraphrasing) Networks are the most natural environment for artificial intelligence to develop, not corporations. Just look at how intelligence emerged in nature, through survival of the fittest and natural selection, in a distributed system of predator and prey. My take is that every intelligence we know of emerged from a network, and every future one will too. Even the LLMs we use daily, built inside closed labs, only exist because they were trained on the internet, aka the largest open network humans have ever built. So if AGI emerges the way every prior intelligence did, it won't come from a lab. It'll come from a network. Bittensor is the first one built specifically for it.
This Week in Startups@twistartups

This is BitTensor’s biggest weakness 👇 Users (miners/validators) are incentivized to compete. This means gaming the system, exploiting every possible advantage. Subnets need to be built assuming people are gonna cut corners. Builders have to assume exploitation is the default. They know it’s gonna be hard to build, because, here, cheaters do in fact win. Welcome to building startups on hard mode.

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macrozack (τ, τ) 🚀
macrozack (τ, τ) 🚀@macrozack·
@simioape @Alfarius77 @macrocrux @opentensor I agree that harnessing miner intelligence is optimal - but IOTA does support decentralization in another way, by lowering the barrier to entry Covenant's 72B was trained <50 miners - effectively mini datacentres IOTA opens access to consumer compute, scaling to thousands
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simioape
simioape@simioape·
@Alfarius77 @macrozack @macrocrux @opentensor something that leverages miner intelligence and that uses bittensor. IOTA doesn't. They run a server that tells validator what weights to set (no real yuma consensus) and they distribute rewards manually. You could literally do this with any other token.
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macrozack (τ, τ) 🚀
macrozack (τ, τ) 🚀@macrozack·
Macrocosmos resuming the lead for distributed training on Bittensor High talent, high conviction team led by @macrocrux, formerly CTO of @opentensor itself If you're looking to back decentralized model training, this is our very best shot
Macrocosmos@MacrocosmosAI

Today, we present ResBM (arxiv.org/pdf/2604.11947), a 128x activation compression technique for achieving SOTA training results in low-bandwidth, distributed communication settings for pipeline parallel training across the internet. This technology underpins @IOTA_SN9 - our distributed training platform.

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simioape
simioape@simioape·
@macrozack @macrocrux @opentensor this is not decentralized, there is no MoE. Macrocosmos just rewards compute provided but all innovation remains on their side let me know if this is wrong The fact they send rewards to a wallet controlled by them to then distribute rewards manually is a story for another day
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This Week in Startups
This Week in Startups@twistartups·
We're offering a 5 THOUSAND dollar bounty to the best app that can give us real-time insights as we record the pod. 💰 Think you have what it takes? Learn more: 🧵
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Gajesh
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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