Joined August 2022
- Tweets 1,277
- Following 127
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Pinned Tweet
1 Aug 2025
#Crypto projects have long had to face #compliance ⚠risks by virtue of operating without a legal framework.
But when the #GENIUS Act compels founders to adopt💥junk #bonds for their operations, it is the entire #Web3 industry that is now at risk.
The GENIUS Act might be Wall Street's victory disguised as crypto's win.
DeFi protocols get squeezed into compliance boxes while TradFi absorbs the revolution. But code doesn't die - it just finds new homes. Who writes the future now?
Story below...
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#Crypto occupations in a nutshell: 5️⃣/🔟
Taking a🎭non-tech role in the #tech industry is for🤠self-starters, not #employees.
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Dot.alert() retweeted
May 12
#Crypto occupations in a nutshell: 4️⃣/🔟
🤵#Corporate jobs in Web3 cross over #entrepreneurship territory, with📑many strings attached.
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Dot.alert() retweeted
Apr 14
#Crypto occupations in a nutshell: 3️⃣/🔟
In Web3, the daily🏃♂️hustle of #fundraising is taken to a whole🆕level of #grinding.
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Dot.alert() retweeted
Mar 10
#Crypto occupations in a nutshell: 2⃣/🔟
In Web3, the👥#community makes or breaks the future of #products by🔊word-of-mouth and testimonies.
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Dot.alert() retweeted
Mar 25
Food for thought:
Web3 founders are being ripped off by AI tools.
These tools are sold to founders as the answer to smart contract security.
The protocols buying them are becoming the next “$100M stolen” case studies.
In the past eighteen months, multiple protocols launched after AI-assisted security review flagged zero critical findings. Human researchers reviewing the same code post-exploit found the vulnerability in under two hours. The AI did not miss it because the AI was wrong.
The AI missed it because the vulnerability lived in the economic assumptions underneath the code. Not in the code itself.
AI tools audit what is written. They cannot audit what was assumed.
The false confidence created by a clean AI report is not neutral. It is actively dangerous. A team that receives "no critical findings" from an automated tool ships with certainty. No human review scheduled. No invariant testing campaign. The tool already checked it.
Except the tool optimized for pattern matching. And the exploit required understanding intent.
Now imagine this playing out across an ecosystem where reducing audit cost is a competitive pressure. Where "AI-assisted security review" becomes an industry norm. Where founders can't distinguish between a tool that found nothing dangerous and a tool that couldn't see the danger that existed.
AI tool companies are selling "automated security coverage" to protocols. Protocol teams are buying it to ship faster and cheaper. Attackers are actively cataloguing the vulnerability classes these tools consistently miss and building their exploit playbooks around exactly those gaps.
Three different actors. Three different incentives. All producing the same outcome.
The attack surface AI tools cannot see is the attack surface that will be exploited.
The teams purchasing AI audit tools are not solving their security problem.
They are paying to feel like they did
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Dot.alert() retweeted
Feb 10
#Crypto occupations in a nutshell: 1⃣/🔟
Some Web3👨💼jobs are all about #education and entertainment, with some👾#AI tech in the mix.
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Dot.alert() retweeted
Feb 16
unfortunately ALL crypto structures ran by humans are corrupted atm
foundations, DAOs, etc
only the technology is neutral
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