adrjenq (@adrjenq) 's Twitter Profile
adrjenq

@adrjenq

ID: 2518467785

calendar_today30-04-2014 06:58:13

55 Tweet

12 Followers

190 Following

adrjenq (@adrjenq) 's Twitter Profile Photo

whales are playing PvP day trading for more $tao. Really, few people care about long-term support of their favorite subnets. Nobody likes their capital to disappear from one day to the next.

adrjenq (@adrjenq) 's Twitter Profile Photo

$tao new subnet registrations should be suspended 1. We see enough ghost subnets that are raking in emissions for rumors and hype, not proof of work 2. Alpha will continue to be diluted, $tao emissions spread across more and more subnets. More subnets =/= more productivity

adrjenq (@adrjenq) 's Twitter Profile Photo

$dtao is a bear game for now - selling pressure from owners and miners - day traders not interested in supporting subnets but in quick profits - automatic sale of alpha to root stakers - new subnets gaining through hype/rumors before they launch while other subnets lose out

DSTRBTD (@dstrbtd_ai) 's Twitter Profile Photo

DSTRBTD has been registered as Bittensor's Subnet 38 since Sept 2024. Our mission? Solving the Trust-less Incentivised Distributed Training Problem. Here's how we got started: youtube.com/watch?v=IHSotx…

DSTRBTD (@dstrbtd_ai) 's Twitter Profile Photo

Every day, Bitcoin mining consumes ~447 GWh of energy. That's ~9× the total energy estimated to have been used to train GPT-4. What if a protocol could incentivize, convert, and coordinate even a fraction of that energy to train open source LLMs? This is the foundational

Every day, Bitcoin mining consumes ~447 GWh of energy. That's ~9× the total energy estimated to have been used to train GPT-4.

What if a protocol could incentivize, convert, and coordinate even a fraction of that energy to train open source LLMs?

This is the foundational
vidaio_τ (@vidaio_) 's Twitter Profile Photo

Check out our new blog post: Africa’s Mobile Boom: What It Means for Video Compression, Codecs, and Vidaio Here we breakdown the unique issues of the African mobile market and how we are solving them! Let us know your thoughts... Happy Reading 😀 medium.com/@vidaio/africa…

Check out our new blog post:

Africa’s Mobile Boom: What It Means for Video Compression, Codecs, and Vidaio

Here we breakdown the unique issues of the African mobile market and how we are solving them! 

Let us know your thoughts... Happy Reading 😀

medium.com/@vidaio/africa…
vidaio_τ (@vidaio_) 's Twitter Profile Photo

Over 3.6 million frames of video processed every month on Subnet 85! Every clip and miner reward lives on chain, 100% transparency. Check out the leaderboard on our miner dashboard: vidaio.io/miners Come and join the Vidaio revolution!

Over 3.6 million frames of video processed every month on Subnet 85! 

Every clip and miner reward lives on chain, 100% transparency. 

Check out the leaderboard on our miner dashboard: vidaio.io/miners

Come and join the Vidaio revolution!
adrjenq (@adrjenq) 's Twitter Profile Photo

$dtao is a crazy market- random subnets pump for no reason, but other get ignored. Vidaio ,arguably one of the best ideas in $tao is ~80% below its spring highs. Just launched compression model as a task for miners - their flagship service for video providers. Worth considering

vidaio_τ (@vidaio_) 's Twitter Profile Photo

Video Compression is now live!!!! We have made some big updates to the subnet and have built the compression model from scratch. Open-source, verifiable, and FFmpeg-ready, Per-scene AI-driven encoding is now ready for our miners. This means the same or better quality of

Video Compression is now live!!!! 

We have made some big updates to the subnet and have built the compression model from scratch. 

Open-source, verifiable, and FFmpeg-ready, Per-scene AI-driven encoding is now ready for our miners. 

This means the same or better quality of
Sheik (@ttsheik) 's Twitter Profile Photo

Prediction subnets are fools game. No miner/ai can predict the future. But.. Sn50 Synth is mistaken for one, where in fact, it's a probabilistic path intelligence, used for pricing options & managing risks, not go long/short or price points. And it's beating industry benchmarks.

Prediction subnets are fools game.
No miner/ai can predict the future.
But..
Sn50 Synth is mistaken for one, where in fact, it's a probabilistic path intelligence, used for pricing options & managing risks, not go long/short or price points.
And it's beating industry benchmarks.
Synthdata (@synthdataco) 's Twitter Profile Photo

Fish | Datura Prediction isn’t about fortune-telling. Synth has proven to beat GBM benchmark consistently. We forecasts full probability distributions and scores miners on CRPS accuracy. That’s why our data powers real DeFi use cases like liquidations & 0DTE options. Quantifying uncertainty >

Epcio (@epc1o) 's Twitter Profile Photo

1) Właśnie wleciała nowa aktualizacja kodu od Vidaio Dodano az 1600 linijek. Najważniejsze zmiany: - kompresja dla organicznych filmów (wcześnej tylko filmy syntetyczne) - poprawa jakości dla upscalingu filmów - nowa punktacja zadań dla górników - aktualizacja bramki przesyłu

adrjenq (@adrjenq) 's Twitter Profile Photo

This kind of post is exactly what SN need more of: concrete client profile clear before/after metrics and a link between miner work and real-world ROI Whatever #dtao thinks in the short term, @Yanez is clearly playing long, reg-tech game instead of pure narrative farming $tao

adrjenq (@adrjenq) 's Twitter Profile Photo

non trivial ML work that’s hard to fake and actually useful in the real world. This is the type of R&D I want to see emission funding in #Bittensor $tao

adrjenq (@adrjenq) 's Twitter Profile Photo

SN79 (TAOS) just launched econophysics.simulate.trading transparent side-by-side stats of their simulated market vs Kraken $TAO/USD (fat tails, returns distributions, time-to-cancel). Crazy that it’s still in the pruning/dereg risk zone despite doing real microstructure + risk work

adrjenq (@adrjenq) 's Twitter Profile Photo

Harder and harder to call #SN79 “just a capital game.” A subnet built around LOB datasets, templar distributed training, shared models and sharper trading strategies is moving decisively toward AI/quant infrastructure. #tao #dtao #bittensor