Computer science

The digital asset industry is beginning to prepare for the arrival of quantum computing. This issue, still theoretical today, is nevertheless generating significant debates within the ecosystem. In this context, Coinbase is calling on developers to accelerate the necessary technical preparations. According to its advisory board dedicated to quantum, the transition must start immediately, especially to protect major networks like Bitcoin against future risks.

AI tools are rapidly advancing in monitoring IT systems. However, a new study conducted by Datadog and Carnegie Mellon University shows that engineers maintain a significant lead in managing complex incidents. Based on real outages observed in production, this test compares several advanced models to human specialists. The results mainly reveal the current limitations of models when facing critical and unforeseen situations.

Long confined to speculation about bitcoin, quantum computing is now entering a much more sensitive field: that of encrypted messaging. Behind the debate on blockchain security, another more immediate threat is emerging: that of private data intercepted today, then decrypted tomorrow. Researchers and industry warn about this shift, which moves the front line towards tools like Signal or Threema.

The rapid rise of quantum computing revives fears of massive bitcoin hacking. Indeed, Microsoft’s revelation of its Majorana 1 chip, potentially capable of reaching one million qubits, fueled speculation about the end of the inviolability of private keys. However, Graham Cooke, former Google executive and now CEO of Brava Labs, dismisses these concerns. According to him, bitcoin cryptography remains out of reach, even for the most advanced machines.