Balancece

Will Fable5 be back next week?

Lei Jun should really get that Xiaomi TV working properly!
Forget about artificial intelligence for now—voice communication isn’t even as good as an 80-year-old grandma’s hearing!
And besides, with the same picture quality, they’re both external screens; after using the Mac set-top box and then looking back, I thought it wasn’t even the same screen.

Last night’s Federal Reserve FOMC meeting highlights (5-sentence summary):
1. Interest rate unchanged: The Federal Reserve decided unanimously by a 12-0 vote to keep the target range for the federal funds rate at 3.50%-3.75%, marking the fourth consecutive decision to hold steady, in line with broad market expectations.
2. Dot plot turns hawkish: The latest economic projections show that nearly half of officials expect rates to be higher than the current level by the end of 2026, with potential rate hikes during the year; the median forecast rose to 3.8%, tightening noticeably compared wit

Once again, they are predicting interest rate cuts around June 2027 next year, but I want to say, does that really work!
Under high pressure, the US stock market has been moving for three years, high-yield crypto has peaked, low-yield crypto has bottomed out, it's no longer the time when liquidity in waterproof crypto can rise.
We can only wait for the US stock rotation to finish and liquidity to come back.
Another key point is quantum resistance security—delaying tactics, but Wall Street has to buy in and acknowledge it!
Retail investors shouldn't even dream about it.

Fable5 is burning through tokens too quickly. Max recently increased the limit by 2.5 times, and I now understand why! It’s like your phone keeps upgrading but the storage is never enough.

I'm curious, if GPT's mascot is $wld , then what is Claude's mascot?

$zec Truly sacrificed to AI, this circle has become a joke once again! Wall Street and hackers' ATM, harvesting retail investors worldwide without punishment

Ripple has set a hard deadline for ripple:native Ledger: complete quantum resistance upgrade by 2028.
This is the first among mainstream public chains to formally include post-quantum migration in its roadmap and even schedule it.
Previously, discussions about quantum threats mostly stayed at the "early stage" level.
This time, Ripple is different—divided into four phases, with phase 2 already underway: testing post-quantum algorithms standardized by NIST on real workloads, integrating ML-DSA signatures on AlphaNet, and collaborating with Project Eleven to benchmark validators.
It's ge

5/30 Conducted an interesting experiment—
Having 13 of the most powerful AI models predict the BTC year-end price (12/31/2026).
The results were outrageously different:
Highest Grok: $145K
Lowest one model gave: $50K
Median around $90-95K
Almost a threefold difference.
Why is it so outrageous?
Because AI predictions are not prophecies; they are reflections of current market sentiment. Grok's training data is biased toward the BTC community → optimistic; other models incorporate more bear market news → conservative.
A more embarrassing fact from last week—the Alpha Arena experiment with 5 t

Aave today announced it has “returned to normal”—about a month after that $230 million incident.
But when you hear how the attack happened, you’ll definitely get chills down your spine.
On April 18, someone forged a piece of fake news, tricked a cross-chain bridge, and “printed” 116,500 rsETH (an ETH staking receipt) out of thin air. Then they used these counterfeit tokens as collateral on Aave, borrowed real ETH, and siphoned off $230 million.
Aave’s own code was fine. It only accepted an external token as collateral—yet it had no way to control that token’s “money-printing machine.”

The newly released data is a bit eye-opening: OpenAI, Anthropic, Google, xAI, Alibaba—five of the strongest AI models, each trading with $10k in real cash.
32 results, only 6 profitable. Win rate 18.75%.
Every day someone claims "AI will replace traders," but let's look at this number first.
This experiment is called Alpha Arena, conducted by a lab called Nof1. The rules are simple: put the top AI models on a stage, each with $10k, let them trade cryptocurrencies autonomously, and see who can make money.
The result: most of the time losing money, frequent trading eating up fees, risk c

Trump has landed, and the evening rush hour on the East Fifth Ring Road didn't turn into a traffic jam.