sun runner

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sun runner

@0xSunRun

starboy living the τao of poverty || thought journal

Katılım Mart 2024
230 Takip Edilen3.2K Takipçiler
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sun runner
sun runner@0xSunRun·
A good number of people in my mentions/DMs are looking for help taopilling the masses. In the interest of saving time, here is all you need to get started: 1.) If you only have time to do one thing, sit in on Bittensor co-founder @const_reborn's 1-hour lecture on Bittensor: youtube.com/watch?v=XRhTE9… 2.) If your interest is sufficiently piqued, watch the best documentary of 2025 created by the @evert_scott and featuring all the usual suspects: youtube.com/watch?v=71rvAS… 3.) If you now understand Bittensor at a high level and want to peel the onion a layer deeper without getting completely lost in the sea of complexity, check out @markjeffrey's of @stillcorecap's "State of TAO" report: youtube.com/watch?v=wJ2Lah… 4.) Follow/sub to this Bittensor list I maintain that will be a portal into the ecosystem for you: x.com/i/lists/203230… If these three things weren't enough to taopill you, feel free to slide into my DMs, and I'll get to you eventually (maybe). Cheers.
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sun runner
sun runner@0xSunRun·
As Bittensor grows the miner emissions and depth of liquidity will incentivize entirely new cohorts of compute to participate in the network. Commoditized compute that is private and uncensored being offered closer to marginal cost than anywhere else in the world. At the same time this flywheel is gaining momentum the Frontier Labs (not private, completely censored) will begin ratcheting up their token prices to take advantage of the segments of the market they think they’ve captured. Seems pretty obvious what happens next.
const@const_reborn

Trying for free AGI the “same old way” will fail. We cannot take on the giants of fiat capital by playing the same game. We can however invent new games, ways of aggregating compute, and organizing engineers that out compete along the dimensions of efficient organization. This is the only path forward.

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Sami Kassab
Sami Kassab@Old_Samster·
the largest decentralized training run will be happening on bittensor (again)
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Daniel LJ Attia
Daniel LJ Attia@hereforElon·
@Old_Samster although Hone may have more signal (github) than any noise (marketing) and is from the same group that built and funded bittensor, and Targon @0xSunRun gets it
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sun runner
sun runner@0xSunRun·
@btchydra187 People really don't realize what a 5-year head start means but I think they're going to find out
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Lord Hydra
Lord Hydra@btchydra187·
There’s nothing that can compete for long mining similar digital commodities as an existing SN. Nothing. This will become exceedingly clear over the next ~36 months. To do so they must be so differentiated in both 1) digital commodity produced and 2) either mechanism or economic consideration they are incapable of being a subnet. And then, those networks have to get their own miners- hard thing to do as you’ve astutely pointed out. $TAO is the uPoW juggernaut, Yuma is the 8th wonder of the world.
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Lord Hydra
Lord Hydra@btchydra187·
$TAO has the best moat in crypto and most people miss it. Its the miners.
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yubrew
yubrew@yubrew·
Cheap token era is ending soon. Infinite growth story stops at some point. Microsoft canceled its internal licenses to Claude Code, noting untenable costs. The same Microsoft that funded $13b to OpenAI, and spent $200b in AI datacenters the past two years. Who fills this void?
Hedgie@HedgieMarkets

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗

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sun runner retweetledi
Ridges AI | SN62
Ridges AI | SN62@ridges_ai·
⛰️ Ridges Competition 22 Results · May 14-19 419 agents created. 9 approved for emissions. Best score: 76.67%. Avg: 57.56%. The bar is high. That's the point. The notable change this comp: we introduced a cost maximum of $0.29 per problem. Our average cost per problem solved is now $0.10, giving us a margin of $0.19 or 65%. When we deploy miner agents to serve real clients, miners are guaranteed to turn a profit. Aligning incentives properly matters more than inflating participation numbers. Standards up. Emissions earned, not given.
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Algod
Algod@AlgodTrading·
Ai subsidies will be reduced drastically, popularity of domain specific smaller models will skyrocket as performance will be close to SOTA Investing in projects that bet on this angle
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sun runner
sun runner@0xSunRun·
@chumbawamba22 AI Agents = exponential increase in the "population" that will grow GDP and also buy our bags
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sun runner retweetledi
Sami Kassab
Sami Kassab@Old_Samster·
Targon has generated $660k in GPU rentals in last 30 days h/t to all the miners on the new PoUW networks renting compute from Targon pick and shovels
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DickieEmerson
DickieEmerson@EmersonDickie·
What VVV is doing represents a small fraction of what the winner will be doing. Private, permissionless inference is huge. I am betting that winner will be @prlnet And this isn’t considering the fact that inference is just 1 Ai workload of the many that Pearl supports as a protocol… so whatever you think the value of inference is, understand that is one slice of the pie Pearl will capture. And we aren’t even discussing the fact that PRL is a superior SoV asset for the Ai era… We’re just discussing some of the uses. But as we know from Gold & Silver, use-cases are not the reason for their monetary premium… they are just a nice reinforcement in being a consistent flow of demand. BTC showed us what its economic incentives can do in creating the world’s largest supercomputer. Run it back with Pearl becoming the world’s largest supercomputer for Ai workloads.
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DickieEmerson
DickieEmerson@EmersonDickie·
@0xSunRun @prlnet Team had AMA this Monday in their Discord. It was good. Discord is good vibes too.
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sun runner
sun runner@0xSunRun·
@EmersonDickie @prlnet So basically it’s targon or chutes but the inference compute is simultaneously securing the chain - does this actually scale? Is it slow?
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DickieEmerson
DickieEmerson@EmersonDickie·
Considering is an open-source network, anyone will be able to build what they can find value out of from leveraging network resources and design. Could be for training, inference, any Ai workload. Private & permissionless access. But I know core research team is going to build what can be thought of as a neocloud. On shrooms rn so apologize for not going more in depth with it.
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