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The father of the Move language leaves Sui to join Anthropic, and crypto talent is flowing in large numbers to AI

Core Viewpoint
Summary: The father of the Move language leaves Sui to join Anthropic for AI safety: the "gatekeepers" of the crypto industry are flocking to AI in droves, GitHub code submissions have plummeted by 75%, while AI can identify vulnerabilities in Coldcard that have gone unnoticed for five years in just 8 minutes.
Deep Tide TechFlow
2026-08-07 17:31:07
The father of the Move language leaves Sui to join Anthropic for AI safety: the "gatekeepers" of the crypto industry are flocking to AI in droves, GitHub code submissions have plummeted by 75%, while AI can identify vulnerabilities in Coldcard that have gone unnoticed for five years in just 8 minutes.

Author: David, Deep Tide TechFlow

On August 5, Sam Blackshear posted on X that he would be leaving Mysten Labs to join Anthropic, focusing on AI-related defensive security research.

This name may not be familiar to many, but you have likely heard of the things he has worked on. Move, the underlying programming language of the Sui blockchain, was created by him.

Around 2018, he was still at Meta, when Zuckerberg was working on the Libra stablecoin project. Blackshear was a member of the core technical team, specifically designing a new programming language for this project, which is Move.

Libra was later renamed Diem, and eventually, the entire stablecoin project was halted by regulators. However, the Move language survived.

The father of the Move language leaves Sui to join Anthropic, and crypto talent is flowing in large numbers to AI

In September 2021, Blackshear, along with four former Meta colleagues, founded Mysten Labs, bringing Move out of Meta's remnants and building a new public chain, Sui, around it. Moreover, from the initial conception to his departure, he has invested over eight years in this language.

I think most readers in the already bearish crypto market do not have a clear sense of the personnel changes.

So how can we understand the significance of this personnel loss?

The security and capabilities of a blockchain largely depend on the design of its underlying language. Blackshear's role in Sui and Move can be roughly compared to Vitalik's role in Ethereum and Solidity.

Such individuals in a crypto project are not easily measured by job titles.

They may be language designers, decision-makers for protocol evolution, or those who determine the flow of funds… In simpler terms, they are a group of "gatekeepers" in crypto projects, defining how high an ecosystem can grow.

Now, these individuals are visibly moving towards the AI industry. Blackshear is not an isolated case.

AI, A Brave New World

Before Blackshear left, there was actually a moment.

During a roundtable discussion on project security in April this year, he mentioned something that reflected the tremendous allure of AI for technical leaders in the crypto industry:

He had written an analysis tool during his time at Facebook and later wanted to migrate it to Move, using it to scan for potential vulnerabilities in Move code; this migration work was previously done manually, and his own words were, "It would take a very long time."

Later, he handed this task over to Claude.

Claude completed this migration automatically and even flagged a number of potential vulnerabilities. Blackshear's reaction upon seeing the results was, "whoa, we have entered a new world."

I think this detail is very important.

Have you ever felt that when someone hears about how great AI is while scrolling through social media, they can't be truly moved inside? Until you find that AI can solve problems in your area of expertise unexpectedly, even surpassing your own level.

Thus, the departure of technical leaders from crypto projects to AI is not only a career plan but also a genuine belief that there is great potential.

Similar situations are happening to more crypto professionals.

In February this year, Tomasz Stańczak, co-executive director of the Ethereum Foundation, announced his resignation after less than a year in office. Stańczak previously founded Nethermind, one of the most important clients in the Ethereum ecosystem, and he was also a core participant in the evolution of the Ethereum protocol layer.

When he left, he wrote in his blog, "I now know that agentic systems and AI-assisted discovery are reshaping the world." He is also a "gatekeeper." However, what he is guarding is not language security but the direction of Ethereum protocol upgrades.

As for those who left even earlier, many are certainly familiar.

OpenSea co-founder Alex Atallah resigned as CTO in 2022 during the peak of the NFT craze and later created the AI model aggregation platform OpenRouter, which is now valued at $500 million;

Leopold Aschenbrenner left FTX's Future Fund, wrote the 165-page "Situational Awareness," and now manages a multi-billion dollar AI investment fund, which has suffered significant losses recently but continues to develop in another circle;

His former colleague Avital Balwit also left the FTX ecosystem and is now the chief of staff to Anthropic CEO Dario Amodei.

These individuals are leaving crypto at different projects, positions, and times, and the work they are doing happens to be what the AI industry currently lacks the most.

Therefore, rather than saying they are "escaping" crypto, it is more like blocks being pulled out of a slowing growth system and inserted into another system that is turning faster.

The Exit of Technology and Money

What has been discussed so far are specific individuals; now let's look at the data.

According to data from the Artemis analysis platform in March this year, the weekly code submission volume for crypto projects on GitHub dropped from about 850,000 at the beginning of 2025 to about 210,000.

75% is gone.

During the same period, the number of weekly active developers fell from about 8,700 to 4,600, more than halving. Ethereum's developers decreased by 34% in three months, Solana by 40%, and BNB Chain's code submission volume dropped by 85%.

This is not just an issue for one blockchain; almost all ecosystems are bleeding.

Meanwhile, the entire GitHub platform is growing. In 2025, about 36 million new developers joined, and the total code submission volume across the platform increased by 25% year-on-year. According to the GitHub Octoverse report, the incremental growth is mainly flowing into AI projects, with AI-related code repositories exceeding 4.3 million, and the import volume of large language model SDKs increased by 178% in a year.

The father of the Move language leaves Sui to join Anthropic, and crypto talent is flowing in large numbers to AI

Omar, an investor at Dragonfly, believes that the reason for this situation is that the industry's focus has shifted to AI, the decline in cryptocurrency prices has reduced developers' economic incentives, and some teams have shifted from open-source to closed-source development; the code hasn't disappeared, it's just that you can't see it on GitHub.

So a more accurate statement might be that the crypto industry is not "dying," but shrinking. The periphery is dispersing, while the core teams are tightening. But the problem is that the gatekeepers mentioned in the previous chapter are not leaving the periphery; they are leaving the core.

This year, at least nine senior researchers and leaders from the Ethereum Foundation have left, with five of them concentrated in May, and the protocol research team has been almost emptied, while Vitalik has, in a sense, become Ethereum's last "gatekeeper," still controlling the core direction of project development.

The reasons for the departures vary; some have disagreements over internal governance, some have salary issues, and some are dissatisfied with the L2 direction. But regardless of the reasons, these gaps are now vacant.

At the same time, the direction of funding is also changing.

According to a July report from Bloomberg, Paradigm closed a new $1.2 billion fund, expanding its investment scope to include AI and robotics for the first time. Managing partner Palmedo stated, "There is too much happening outside to pretend not to see."

The father of the Move language leaves Sui to join Anthropic, and crypto talent is flowing in large numbers to AI

Image: In Q2 this year, the total amount of crypto financing was $12.8 billion

It's not just Paradigm; Framework Ventures raised $400 million last month to invest in AI and robotics, and Haun Ventures raised $1 billion in May, marking its first inclusion of AI. According to Crunchbase data, global VC investment in the first half of 2026 reached $510 billion, with OpenAI and Anthropic consuming over 40%. During the same period, the total financing amount for the entire crypto industry was less than 5% of this figure.

The people writing code are leaving, and the money that pays their salaries is also changing direction.

Black Swans After Guarding the Gates

The crypto industry has never been safe, but the recent situation is particularly intense.

On July 30, the hardware wallet Coldcard was found to have a firmware vulnerability, resulting in 1,196 wallets being emptied in 41 minutes, with losses exceeding 1,082 BTC, approximately $70 million. This vulnerability had been hidden in the code for over five years without anyone noticing.

Afterward, a Reddit developer threw Coldcard's open-source code to Claude Code, inputting the phrase "check for vulnerabilities." Eight minutes later, Claude audited and identified the issue.

The father of the Move language leaves Sui to join Anthropic, and crypto talent is flowing in large numbers to AI

Haseeb Qureshi, managing partner at Dragonfly, stated on social media that about "$2 worth of AI computing power" could have prevented this attack.

So when viewed together, it shows that the crypto industry is entering an awkward situation:

Security threats are escalating, AI-driven attack methods are becoming increasingly complex, while the group defining security boundaries and auditing the underlying code is being taken away one by one by the AI industry.

The people left behind may also have to rely on AI for code auditing and project development in the future. This is actually a seemingly efficient but practically makeshift approach, but without truly understanding the system, is anything produced solely by AI safe?

Many are asking when the bull market will return. But in an environment where gatekeepers are leaving in droves, the more pertinent question might be, what methods will be needed to guard against the next black swan?

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