zen.BC

about 10 hours ago

@CryptoYeezussss @defihunter99 $MITSUKI

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SolDegn6 retweeted

about 10 hours ago

$MITSUKI STARTING TO GET NOTICED AND RIPPING INTO NEXT LEG AFTER 4X SO FAR 👀 YOU CANT FADE $DOGE LORE ON $HOOD CHAIN 💯 $SHIB ARMY SNIFFING CLOSE BY TOO LOOKS LIKE 🤯🚀 SEND IT WITH HASTE 📈 https://t.co/gp75Tjv53r

CryptoYeezussss's tweet photo. $MITSUKI STARTING TO GET NOTICED AND RIPPING INTO NEXT LEG AFTER 4X SO FAR 👀 YOU CANT FADE $DOGE LORE ON $HOOD CHAIN 💯 $SHIB ARMY SNIFFING CLOSE BY TOO LOOKS LIKE 🤯🚀 SEND IT WITH HASTE 📈

https://t.co/gp75Tjv53r https://t.co/0XP9yY93D4

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about 12 hours ago

@CryptoYeezussss Giga send this!

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SolDegn6 retweeted

about 13 hours ago

After almost a 4X call $GEOM with $GLND stock got hit HARD today after Greenland pushed back and drilling got delayed for now until 2027 👀 Being Larry is the Dev of $GEOM and Chairman of $GLND which founded it along with USFM obviously $GEOM going to be like a leveraged play on it. USFM is actively drilling in Greenland though which is the other Founding company which Larry is also involved in. Wouldn’t be surprised if Trump pulls some move to get it done quicker for Greenland Energy too. We caught our X’s and derisked, I am still holding a massive moonbag here moon or dust longer term 💯 Lets see 👀 https://t.co/9FmtJ5ZCdt

CryptoYeezussss's tweet photo. After almost a 4X call $GEOM with $GLND stock got hit HARD today after Greenland pushed back and drilling got delayed for now until 2027 👀 Being Larry is the Dev of $GEOM and Chairman of $GLND which founded it along with USFM obviously $GEOM going to be like a leveraged play on it. USFM is actively drilling in Greenland though which is the other Founding company which Larry is also involved in. Wouldn’t be surprised if Trump pulls some move to get it done quicker for Greenland Energy too.

We caught our X’s and derisked, I am still holding a massive moonbag here moon or dust longer term 💯 Lets see 👀

https://t.co/9FmtJ5ZCdt

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about 19 hours ago

@TheDeFiPlug This makes the AI security thesis much more tangible

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SolDegn6 retweeted

THEDEFIPLUG

@TheDeFiPlug

about 20 hours ago

Crypto security has a weird problem. There is no shortage of money. There is no shortage of open-source code. There is a shortage of people willing to continuously stare at that code looking for ways to break it. The Bitcoin Red Team may have found a way around that. Following the Coldcard exploit, a 16-person volunteer team organized by Calle and Rob Hamilton spent 27.5 hours reviewing 390 open-source Bitcoin ecosystem repositories with frontier AI models. The campaign was funded by more than $40K from OpenSats for AI compute and inference. The result: ➤ 4,962 total findings ➤ 85 critical ➤ 635 high-severity ➤ ~$40K in AI spend The $40K is the number I keep coming back to. ● The Economics Are Changing Security audits are expensive because good engineers are expensive. They need time to understand the code, test different parts of it and figure out what could actually be exploited. And most audits happen once. Then the code changes. New dependencies get added. New features get shipped. Eventually, the old audit starts losing relevance. AI changes the cost of the initial review. If 390 repositories can be examined in 27.5 hours for roughly $40K, doing this repeatedly starts looking realistic. The goal isn’t to replace security researchers. It’s to let AI search through far more code while humans focus on the findings worth investigating. ● Where AI Still Breaks 4,962 findings does not mean 4,962 vulnerabilities. The initial campaign reportedly achieved roughly a 21% verification rate. Most of the findings did not survive the first round of human review. That’s the biggest limitation. AI is good at finding things that look suspicious. It still needs people to determine whether those issues are real, exploitable and worth fixing. So the important number isn’t the 4,962. It’s how many survive verification. If that number remains meaningful as the process scales, the economics become difficult to ignore. ● From One-Off Audits To Continuous Review The bigger opportunity isn’t another AI audit after another exploit. It’s making code review something that happens continuously. A major upgrade happens? Review it. A new dependency gets added? Review it. A critical piece of code changes? Review it. AI doesn’t need to approve the code. It needs to keep looking for problems and bring the important ones to human reviewers. The Bitcoin Red Team doesn’t prove this model will work forever. It proves something simpler. Looking at hundreds of repositories with AI is already cheap enough to try. ➤ 390 repositories ➤ 27.5 hours ➤ ~$40K Crypto spent years making its code open. The next step is making sure someone is always looking. ● My Take The 21% verification rate leaves plenty of room for improvement. But 4,962 findings for ~$40K changes the economics of security review. AI doesn’t replace auditors. It makes continuous review affordable.

TheDeFiPlug's tweet photo. Crypto security has a weird problem.

There is no shortage of money.

There is no shortage of open-source code.

There is a shortage of people willing to continuously stare at that code looking for ways to break it.

The Bitcoin Red Team may have found a way around that.

Following the Coldcard exploit, a 16-person volunteer team organized by Calle and Rob Hamilton spent 27.5 hours reviewing 390 open-source Bitcoin ecosystem repositories with frontier AI models.

The campaign was funded by more than $40K from OpenSats for AI compute and inference.

The result:

➤ 4,962 total findings
➤ 85 critical
➤ 635 high-severity
➤ ~$40K in AI spend

The $40K is the number I keep coming back to.

● The Economics Are Changing

Security audits are expensive because good engineers are expensive. They need time to understand the code, test different parts of it and figure out what could actually be exploited.

And most audits happen once.

Then the code changes. New dependencies get added. New features get shipped. Eventually, the old audit starts losing relevance.

AI changes the cost of the initial review.

If 390 repositories can be examined in 27.5 hours for roughly $40K, doing this repeatedly starts looking realistic.

The goal isn’t to replace security researchers. It’s to let AI search through far more code while humans focus on the findings worth investigating.

● Where AI Still Breaks

4,962 findings does not mean 4,962 vulnerabilities.

The initial campaign reportedly achieved roughly a 21% verification rate. Most of the findings did not survive the first round of human review.

That’s the biggest limitation.

AI is good at finding things that look suspicious. It still needs people to determine whether those issues are real, exploitable and worth fixing.

So the important number isn’t the 4,962.

It’s how many survive verification.

If that number remains meaningful as the process scales, the economics become difficult to ignore.

● From One-Off Audits To Continuous Review

The bigger opportunity isn’t another AI audit after another exploit.

It’s making code review something that happens continuously.

A major upgrade happens? Review it.

A new dependency gets added? Review it.

A critical piece of code changes? Review it.

AI doesn’t need to approve the code. It needs to keep looking for problems and bring the important ones to human reviewers.

The Bitcoin Red Team doesn’t prove this model will work forever.

It proves something simpler.

Looking at hundreds of repositories with AI is already cheap enough to try.

➤ 390 repositories
➤ 27.5 hours
➤ ~$40K

Crypto spent years making its code open.

The next step is making sure someone is always looking.

● My Take

The 21% verification rate leaves plenty of room for improvement. But 4,962 findings for ~$40K changes the economics of security review.

AI doesn’t replace auditors.

It makes continuous review affordable.

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about 20 hours ago

@CryptoYeezussss Hiyooor

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SolDegn6 retweeted

about 21 hours ago

$MITSUKI held beautifully overnight and starting the next leg after 4X so far 👀 They announce donating to the $DOGE Shelter in Japan, if they get a mention from Kabosu Mama for it, this is gonna rip hard 🤯🚀 Send it with haste 📈 https://t.co/gp75Tjv53r

CryptoYeezussss's tweet photo. $MITSUKI held beautifully overnight and starting the next leg after 4X so far 👀 They announce donating to the $DOGE Shelter in Japan, if they get a mention from Kabosu Mama for it, this is gonna rip hard 🤯🚀 Send it with haste 📈

https://t.co/gp75Tjv53r https://t.co/4BkByzYnCR

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1 day ago

@CryptoYeezussss $Mitsuki

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SolDegn6 retweeted

1 day ago

$MITSUKI ATH after 3X so far and next leg loading 👀 These $DOGE narratives typically do well and this is the first one on $HOOD also deeper lore than Kabosu🔥 Should slow cook nicely 👌 Hearing things 🤯🚀 HIYORR 📈 https://t.co/gp75Tjv53r

CryptoYeezussss's tweet photo. $MITSUKI ATH after 3X so far and next leg loading 👀 These $DOGE narratives typically do well and this is the first one on $HOOD also deeper lore than Kabosu🔥 Should slow cook nicely 👌 Hearing things 🤯🚀 HIYORR 📈

https://t.co/gp75Tjv53r https://t.co/uaohjU8VB6

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1 day ago

@CryptoYeezussss Giga bullish

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SolDegn6 retweeted

1 day ago

Before the world thought they knew the 90B runner dogecoin:native as $KABOSU, her ACTUAL name was $MITSUKI 👀 There isn’t deeper lore for a multibillion dollar sendor on the chain of the $HOOD app its biggest holders are already on 🤯🚀 https://t.co/gp75Tjv53r

CryptoYeezussss's tweet photo. Before the world thought they knew the 90B runner dogecoin:native as $KABOSU, her ACTUAL name was $MITSUKI 👀 There isn’t deeper lore for a multibillion dollar sendor on the chain of the $HOOD app its biggest holders are already on 🤯🚀

https://t.co/gp75Tjv53r https://t.co/sj7d8wMkYj

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SolDegn6 retweeted