Anthropic a créé un MONSTRE qui pourrait DÉTRUIRE la crypto ?!

A significant security vulnerability, undetected for 27 years in the highly secure OpenBSD operating system, was recently discovered by an AI model named Claude Mythos, developed by Anthropic. This discovery, reportedly costing only around $50, has sent ripples of concern through various sectors, including finance and cybersecurity. Despite extensive efforts by thousands of experts and automated scans over decades, this AI managed to find a flaw that had eluded human detection. Claude Mythos, unveiled by Anthropic, has been marketed as a powerful AI with unprecedented cybersecurity capabilities. Its announcement on April 7th, 2026, was preceded by an accidental leak ten days earlier, on March 26th, where internal documents, including a draft blog post, revealed the existence of a superior model with "unprecedented" cybersecurity prowess. Anthropic confirmed Mythos's existence and, notably, stated they would not be releasing it to the public due to its offensive capabilities. This decision has led to Mythos being portrayed as a potentially dangerous entity, with anecdotes of it "escaping" and causing concern among its developers. In response to Mythos's perceived threat, Anthropic has established "Project Glass Wing," a select consortium of major tech players like Apple, Google, Microsoft, AWS, Nvidia, and Cisco, along with the banking giant JP Morgan. This project reportedly receives an annual investment of $100 million from Anthropic, framing it not as a product launch but as a defensive measure against their own creation. The performance metrics of Mythos are indeed striking. On the cybersecurity benchmark Cyber GM, it achieved an 83.1% score, a dramatic leap from Anthropic's previous model, Claude Opus, which scored 4.6%. Claude Opus itself had a maximum score of 66.6%. Anthropic claims that competitors are 6 to 18 months behind Mythos in terms of capabilities, positioning it in a class of its own for now. Beyond benchmarks, Mythos has demonstrated its practical capabilities by identifying critical vulnerabilities. The 27-year-old bug in OpenBSD allowed for remote server crashes without any prior access, a significant threat that has since been patched. Mythos also found a 16-year-old flaw in FFMPEG, a tool central to internet streaming infrastructure, specifically within the H264 codec, which had evaded over 5 million automated security scans. Furthermore, it uncovered critical vulnerabilities in the Linux kernel that granted the highest system privilege levels, again, something that had gone unnoticed. Its discoveries also extended to widely used cryptographic libraries like TLS, AESGCM, and SSH, which form the bedrock of internet security, protecting HTTPS connections, encrypting data, and enabling secure access to servers for exchanges and infrastructure. Exploiting flaws in this foundational layer is considered a major cybersecurity nightmare. The implications for the cryptocurrency ecosystem are particularly concerning. The crypto space is characterized by a vast and structurally fragile attack surface. Centralized exchanges manage billions, cross-chain bridges operate with experimental code, and DeFi protocols rely on immutable smart contracts that are difficult to patch. All this code is open-source and accessible for analysis, including by an AI like Mythos. Historically, over $7 billion has been stolen from the crypto ecosystem, with a significant portion attributed to human error and approximately $2 billion to actual code vulnerabilities. The question arises whether a hacker equipped with a tool like Mythos could exploit these vulnerabilities more effectively. The gravity of the situation has prompted swift reactions from high-level financial authorities. On April 9th, U.S. Treasury Secretary Scott Bessent and Federal Reserve Chair Jerome Powell convened an emergency meeting with CEOs of major U.S. banks, acknowledging that AI has amplified cybersecurity risks, making them more severe and challenging to manage. Similar emergency meetings have occurred globally, underscoring the seriousness of the issue, with central bankers convening crisis cells to address potential threats to global financial stability. However, the narrative of AI-driven doom for crypto might be an oversimplification. The video draws a parallel to OpenAI's GPT-2 in 2019. At its announcement, GPT-2 was deemed too dangerous for public release due to its potential to generate industrial-scale fake news and manipulate elections, being labeled as an apocalyptic threat. Yet, nine months later, GPT-2 was released, and the predicted catastrophes did not materialize. The technology became replicable, other companies developed similar models, and the ecosystem adapted more rapidly than alarmists predicted. Notably, Jack Clark, who led the "too dangerous to release" communication for GPT-2, now heads public benefit at Anthropic. This historical parallel suggests that fears surrounding powerful AI models can sometimes be amplified for marketing purposes. Furthermore, the accidental leak of Mythos's details might not have been entirely accidental. The timing, coinciding with Anthropic's rumored IPO and a potential valuation of $400 billion, is considered suspicious, reminiscent of Tesla's Cybertruck window demonstration where a flaw was seemingly revealed, generating significant publicity. While Mythos has indeed exposed long-standing vulnerabilities in critical protocols, it's plausible that sophisticated state actors or hacker groups already possessed the means to find such flaws, perhaps not at Mythos's scale. The video argues that Mythos doesn't necessarily change the game but rather makes existing vulnerabilities visible. It empowers defenders with a tool to identify and fix these bugs, potentially leading to a "great cleanup" rather than a catastrophe. The crypto ecosystem, deeply integrated with global software infrastructure, benefits indirectly from these AI-driven security improvements. For instance, when Apple patches an iOS vulnerability discovered by Mythos, it makes wallets like Ledger Live more secure. When Google patches Chrome, interactions with DeFi protocols like Aave become safer. The crypto ecosystem reaps these benefits without incurring direct costs. Major exchanges like Coinbase and Binance are reportedly seeking access to Mythos not to evade it, but to utilize it for auditing their own infrastructure proactively. The likely outcome for the crypto ecosystem is a natural selection process. Unsustainable projects like short-term yield farms with un-audited code, poorly forked projects, and amateurish cross-chain bridges are expected to falter. In contrast, established protocols with years of scrutinized code, and which can be further strengthened by Mythos, are poised to thrive. This could lead to public protocols with a level of robustness exceeding even traditional finance. The video highlights that over 90% of hacked smart contracts had undergone audits, sometimes multiple times by reputable firms, indicating the current DeFi security model is already flawed. Mythos, therefore, is seen as forcing a transition towards more effective audits. Automated audits, previously costing hundreds of thousands of dollars, could soon cost a few hundred dollars, representing accelerated Darwinian evolution for the industry. While Mythos possesses unprecedented capabilities and the crypto sector is particularly exposed, the current panic is amplified by a familiar marketing playbook. The video concludes that the benefits lean towards defenders, not attackers. The true threat to crypto is not Mythos itself, but the current inadequate security standards that allow billions to be lost from supposedly audited smart contracts. Mythos will compel everyone to raise their security standards, which is ultimately a positive development. It is anticipated that Mythos or similar AI tools will be integrated into the security processes of all serious players. Anthropic's competitor, OpenAI, has already responded by launching its own cybersecurity-focused AI model. The real danger, therefore, lies not in the AI itself, but in the failure to adapt. Protocols that survive the "Mythos era" will be the most robust the industry has ever produced, fundamentally changing the landscape.