τao sτacker

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τao sτacker

τao sτacker

@taostacker

AI architect ex-Microsoft | early invesτor in $btc | sτacking and sτaking $tao

sτaking τao in the digiτal dao Sumali Ağustos 2021
502 Sinusundan1.2K Mga Tagasunod
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Algod
Algod@AlgodTrading·
seeing an increased amount of bittensor fud whenever this happens you know you're invested into the right project
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@jason
@jason@Jason·
@BlockchainTek @greybtc I think $Tao will outperform $BTC over the next five years
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Chairman τao
Chairman τao@MarsSmuff·
This is a big f'ing deal. Being able to run computer vision on localised retail hardware opens the door up to anyone and everyone. No fancy specialist equipment needed. No high speed internet to reduce latency. All the heavy work is done on your device. Resulting in a low cost, low latency, private computer vision agent available on your desktop. What @IOTA_SN9 "Training at home" has done for llm pre training, @webuildscore is doing for computer vision with @manakoai. Soon, we will all be able to build with vision. $TAO
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Max@MaxScore

y’all not ready for this we casually solved edge deployment to run CV pipelines on-site on CPUs

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Mark Jeffrey
Mark Jeffrey@markjeffrey·
Beam - Subnet 105 "BEAM transforms bandwidth into a programmable, performance-driven resource." Just as Hippius supplies low-cost high-quality storage, Beam supplies low-cost bandwidth for moving 'big data' around. Very important for AI.
Beam - Subnet 105@b1m_ai

x.com/i/article/2034…

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bΞrtofb.eth
bΞrtofb.eth@BertBlancheton·
The Bittensor documentary "The Incentive Layer" just taught a masterclass in positioning. Not "we are building decentralized AI , instead, "We're the incentive layer for the Intelligence Revolution." That reframe changes everything, here are some positioning lessons: 1. Anchor to proven model They don't say "new coordination mechanism." They say "Bitcoin's model applied to AI." People understand Bitcoin's success so they can extrapolate to intelligence. 2. Name the revolution Not "AI infrastructure" (generic). "Intelligence Revolution" (specific era). They're positioning as the winning infrastructure layer for a historical shift. That's category creation. 3. Use historical pattern Every revolution (Industrial, Information) commoditizes something new. Intelligence Revolution commoditizes intelligence itself. This is how you position infrastructure. For Web3 marketing teams: you're not "building a protocol." You're "the [X] layer for the [Y] Revolution." Fill in those blanks and you have a category position. Bittensor just showed the blueprint.
DREAD BONGO@DreadBong0

With all the noise around $TAO lately.. It's probably a good time for people to watch the latest #bittensor documentary The Incentive Layer 👉 youtu.be/71rvASmXUN8?si… Its under 1 hour of your time.. and you’ll come away with a much clearer picture of what’s actually being built $TAO

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Tseu Tseu - τao
Tseu Tseu - τao@tseutseutao·
$TAO - And suddenly, all eyes are on $TAO. The vast majority sees it as just another trade, an opportunity to make a quick 10, 15, or 20% profit, and then move on to something else. The other group, which has been around for years, isn’t particularly surprised: they’ve been watching, step by step, the network’s evolution, the arrival of subnets, the major introduction of dynamic subnets only a year ago, and finally, one after another, seeing them converge with SOTAs, major breakthroughs in innovation, and finally, more recently, the announcement of historic and groundbreaking partnerships, with the world’s biggest business players discussing Bittensor. For many, this is just a passing phase. For us, this is only the beginning. The beginning of a new era. One of a blockchain that WORKS and BUILDS PRODUCTS that bring new added value for which there is real DEMAND. The old school of crypto is giving way to the new, known as Bittensor. We have a front-row seat to this new world, and if you follow the subnets as closely as I do, you already know it: we are witnessing the unfolding of modern crypto history in real time. Amen.
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Tao Ouτsider
Tao Ouτsider@TaoOutsider·
How to invest in a $TAO Bittensor subnet and still end up +11% after a 43% drawdown. The average APY across subnets in the $TAO Bittensor ecosystem sits around 70%, based on a quick simulation I ran. Some people prefer to stay in Root because subnet risk feels uncomfortable. Root’s average APY today is roughly 6%. Comfort has a price. So I ran the numbers. If I allocate 10 TAO into Affine, $dTAO subnet 120, with the alpha token priced at 0.070 TAO, and that alpha price drops 43% the next day, 0.040t, and stays flat for an entire year, while APY holds at 70%, I still end the year with more TAO than I would by staying in Root. Around 11%. (Check in the picture) That reframes the question. Risk is not subnets. Risk is ignorance. Risk is allocating blindly, chasing posts on X, picking subnets because they look cool, or never modeling downside scenarios. If you want comfort, stay in Root. If you want to outperform, study Bittensor, understand $dTAO dynamics, and run your own simulations. I’ll drop the calculator link and the creator’s profile in the first comment. PS: Root is the food court at Disneyland.
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Chairman τao
Chairman τao@MarsSmuff·
Wow. @grail_ai R&D is being used by @cursor_ai. $TAO
Erfan Miahi@erfan_mhi

Pretty wild to see our work on PULSE show up in a real 1T-scale post-training run done by @cursor_ai. Cursor built Composer 2 in collaboration with Fireworks and trained it across multiple datacenters, getting huge savings by syncing only the weights that actually changed between RL checkpoints. Fireworks reports that more than 98% of BF16 weights can stay bit-identical from one checkpoint to the next, and they cited our paper on this, too. That is basically the exact sparsity pattern we showed in our paper, where we introduced PULSE, a lossless method for 100x more efficient weight-sync communication for RL training. Their system is very close to this idea in practice: exploiting the fact that only a tiny fraction of weights actually change between RL steps. The deeper reason for this is not that RL gradients are sparse. They are not. The gradients are still dense. What becomes sparse is the realized weight update. In RL, learning rates are tiny, and with Adam, the update size stays bounded around the learning rate. Then BF16 adds a hard threshold: if the update is too small relative to the weight, it just rounds away, and the stored weight does not change at all. So from one checkpoint to the next, most of the model literally stays identical. That is why this is such a useful systems idea. Lower precision, like using BF16, does not just save compute. It can also save communication, because more tiny updates get absorbed and fewer weights need to be shipped. At that point, compute efficiency and comms efficiency stop being a tradeoff. They start reinforcing each other. If you want the deeper story on why RL updates get this sparse, the theory behind it, and how to push weight-sync bandwidth down by 100x+, take a look at our paper: arxiv.org/pdf/2602.03839 The Fireworks blog on Composer 2 that cited our work: fireworks.ai/blog/frontier-… The animation is taken from Fireworks!

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τao sτacker
τao sτacker@taostacker·
@Kromanium_PLS It will be big, especially given who created it. But don't know if it is the first to $1B market cap. Big fan of the agentic subnets here, though!
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τao sτacker@taostacker·
Poll: first $tao subnet to $1B mcap will be:
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Boss.Net
Boss.Net@World_Leader99·
@taostacker Don’t fade SN120 affine, it’s Const’s!
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RVCrypto
RVCrypto@RvCrypto·
I'll say it again, this time it feels like more people will agree tho. You basically only need 3 coins: $BTC $TAO $KAS If you want to diversify do it in the Bittensor ecosystem. And yes, Kaspa needs some more time still, but novel blockchain tech is build like Rome, not in a day.
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τao sτacker
τao sτacker@taostacker·
@RvCrypto It's the most important movement and protocol the planet has ever witnessed. I can't believe people fade it because of Twitter fud. Do 10 mins of research and ask a few questions, there's a reason it's getting the organic attention and growth it is.
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RVCrypto
RVCrypto@RvCrypto·
$TAO is absolutely flying right now. But to be fair, I'm not focussed on short term PA. I know what I hold and I just keep doing the same thing I've been doing for a year+ now: Accumulate more $TAO via investing in subnets.
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τao sτacker
τao sτacker@taostacker·
@corgil Man what a bad take - the fact TAO has absolutely none of those things you claimed is the exact reason I chose it over the thousands of shitcoins getting paid shills on the daily.
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CorgiI
CorgiI@corgil·
For those unaware - 90%+ of $TAO shills are paid Coordinated cabal. Biggest KOLs on CT. All pushing simultaneously They dump freebies on your head, rinse, repeat Most centralised “decentralised” ecosystem in crypto Trade it - don’t marry your bags!
CorgiI@corgil

x.com/i/article/2018…

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ampera
ampera@itsampera·
TAO is what happens when VCs aren't involved
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