no one is saying this: but yes, like all alts, wen and if btc goes to ~48k, $tao can also go down brutally. maybe even sub-100.
anyone that tells you otherwise is lying. at this stage of the market, fundamentals and potential do not matter. only conviction and patience do.
AI companies getting 1T valuation, AI wrapper startups going for billions too.
Then, there's a network of 100+ AI startups at ~1.8 Billion MC.
If this is not an opportunity, what is?
bittensor:native
this is exactly why #Bittensor $tao will outperform centralized entities.
thousands of miners coming together to create intelligence is more powerful than a few closed frontier ai labs.
https://t.co/SL2rQK1H8c
SITUATION EXPLAINED: A team of open source agents just beat Google's classified quantum breakthrough in 72 hours.
We asked @sreeramkannan & @bbuddha_xyz how it happened:
"Google found a way better result for breaking Bitcoin public keys but since it was so sensitive, they wouldn't publish it."
"What I did is take their zero-knowledge proof, turn it into a benchmark, and get a bunch of agents to write different circuits until they got close to what Google got."
"On my own I got to double the published state-of-the-art. Then I released it to our team, they doubled my performance."
"Then I opened it up to anyone to contribute... we are now 13.4% ahead of Google's circuit. We not just recovered, but exceeded what Google did."
Thoughts on the @gnosispay hack:
1 - @gnosis_ team is honorable, they keep their word, users should not panic. However, after 5 years, so much in DeFi still relies on the integrity of the core team, which is unfortunate.
2 - Communication was excellent by crypto standards, but not great for a non-crypto audience. I followed updates on Twitter and Telegram, I understood what was likely happening behind the scenes.
Non-crypto people will need emergency numbers to call, proactive email updates, website updates, etc. They would not know, for example, that their other accounts (non crypto) are not impacted, or understand the timing involved in white hat rescue. They would not know to follow @koeppelmann on Twitter for updates, etc. It more or less works now because Gnosis Pay has <1000 active users.
Of course, these same "emergency" situations are ripe for exploitation by hackers! I can see future emails or calls from scammers urging people to send their money to a new address. So it's a delicate balance, and there should be safe channels for communication.
3 - There is no way DeFi stablecoin yield compensates users for this level of risk. Some (like me) do it to help move this space forward, but we should have no illusions any sane person will do this without legal guarantees and crypto-specific customer care infrastructure when issues arise.
The current process in crypto is pray the core team will do the right thing... That's not going to scale to a wider audience.
4 - I love Gnosis Pay and will continue to use it, just waiting for word I can recharge my card. A huge thanks to everyone working like crazy behind the scenes. π
we all know that the only solution is #Bittensor bittensor:native
why are people like @VitalikButerin not participating more actively in the ecosystem?
One of the many things I dislike about the style of "make AI go well" discourse from frontier AI companies is how nationalist the whole thing has gotten.
In the 2010s, it was: "we're here to benefit all of humanity"
In the 2020s, "we're here to benefit all of 4% of humanity"
And even the Good People are buying into this frame completelyπ’
And they expect humanity to go along, because "come on, be a realistic adult, it's either us or Chiiina" or something like that
(And on the EU side, you get "[X] with European values", which too often seems to mean "the same stuff they're doing, but with Us instead of Them in charge")
Very big-dog-small-dog energy, morally speaking.
average dat in defi.
but tbf: team is doing their best. GP should not suffer because of this exploit. it is genuinely a great product. i'm a daily user.
A bug related to the @gnosispay delay module has been discovered. We are investigating & will share updates as soon as possible.
If you are able to withdraw funds from the Gnosis Pay card to your wallet, we strongly recommend that you do that.
Affected users will be reimbursed.
3 years ago, I was buying $tao at this price and today, I'm still regularly DCA'ing at this same price with my monthly wages.
Conviction is stronger than ever.
#bittersweet $tao
the meta, google and all other future layoff people are welcome to join @bittensororg : it's permission-less, no one will ever fire you. only merit matters.
@JosephJacks_ All that it says is you come from money. Formal education is not a choice for most. And not all learning or testing is about memorization either.
.@DarioAmodei is just selling his business here. nothing more. @bittensor $tao solves this elegantly at scale.
@dwarkesh_sp should bring @const_reborn on. let's talk about open source app layer. that's what these models will power eventually.
Anthropic CEO Dario Amodei on Open-Source AI Models.
"I don't think open source works the same way in AI that it has worked in other areas. Primarily because with open source you can see the source code of the model. Here we can't see inside the model, it's often called open weights instead of open source to kind of distinguish that. But a lot of the benefits, which is that many people can work on it and that it's kind of additive, don't quite work in the same way.
So I've actually always seen it as a red herring. When I see a new model come out I don't care whether it's open source or not. If we talk about Deep Seek I don't think it mattered that Deep Seek is open source. I think I ask, is it a good model? Is it better than us at the things that matter? That's the only thing that I care about.
It actually doesn't matter either way. Because ultimately you have to host it on the cloud. The people who host it on the cloud do inference. These are big models, they're hard to do inference on.
When I think about competition I think about which models are good at the tasks that we do. I think open source is actually a red herring.
It's not free. You have to run it on inference and someone has to make it fast on inference."
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From 'Alex Kantrowitz' YT channel