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NEAR Is Solving Crypto's BIGGEST Problem | Illia Polosukhin Full Interview
49:49
Ran Neuner
Verified account This account is verified. Learn more@cryptomanran
CNBC Crypto Trader , Founder Crypto Banter. Invest in protocols that will change the world-give them enough time to do their thing. Tweets not financial advice.
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Latest posts 5
So, we ripping or dumping this week?
- Ripping!! 829
- Dumping!! 1.1K
Binance Co-CEO @_RichardTeng on CNBC after the security breach.
Even with heavy security spending, no one is fully immune. What mattered is how @binance handled it. They took the full loss so users didn’t.
Withdrawals paused briefly, then reopened Sunday. There was an early spike in activity, but flows have since normalized.
98% of the affected assets have already been replenished, with the rest being acquired OTC. Fully covered.
Even with heavy security spending, no one is fully immune. What mattered is how @binance handled it. They took the full loss so users didn’t.
Withdrawals paused briefly, then reopened Sunday. There was an early spike in activity, but flows have since normalized.
98% of the affected assets have already been replenished, with the rest being acquired OTC. Fully covered.
2:28
Crypto has thousands of blockchains, but getting them to work together remains one of its BIGGEST challenges.
NEAR co-founder @ilblackdragon believes he's found a way to solve it.
From connecting blockchains to enabling AI agents to transact onchain, NEAR is building something much bigger.
But what does this mean for near:native and for crypto as a whole?
New Insider interview OUT NOW: youtu.be/q6DJCivzLyE
NEAR co-founder @ilblackdragon believes he's found a way to solve it.
From connecting blockchains to enabling AI agents to transact onchain, NEAR is building something much bigger.
But what does this mean for near:native and for crypto as a whole?
New Insider interview OUT NOW: youtu.be/q6DJCivzLyE
1:46
Market are just equilibrium machines.
They deviate for short period but in the end they always tend to where they should be.
The short periods where they deviate the most are the times that most get caught.
If you play the long game it's easy to see where they should be.
Some examples:
1. AI may have been heated in the short term but is way undervalued in the long term.
2. If the valuation of Bitcoin is 1.5trln. The valuation of private money transactions is way above what Zcash is way bigger than the $22bn that it is right now.
They deviate for short period but in the end they always tend to where they should be.
The short periods where they deviate the most are the times that most get caught.
If you play the long game it's easy to see where they should be.
Some examples:
1. AI may have been heated in the short term but is way undervalued in the long term.
2. If the valuation of Bitcoin is 1.5trln. The valuation of private money transactions is way above what Zcash is way bigger than the $22bn that it is right now.