Breaking news

Coinbase Faces $20 Million Ransom Demand After Data Breach

In a shocking revelation, Coinbase reported a significant security breach this Thursday. Cybercriminals managed to bribe overseas support agents to gain access to sensitive customer data—a strategy employed to facilitate social engineering attacks.

According to a SEC filing, the attack could cost Coinbase up to $400 million in recovery and enhancements. The breach, discovered independently by Coinbase, triggered an immediate response from the crypto giant. Affected employees were terminated, and impacted customers were promptly notified, although passwords and financial assets were reportedly untouched.

Coinbase decided to establish a $20 million reward fund for information leading to the perpetrators rather than succumbing to the ransom demands. This comes in the wake of major business strides, including an S&P 500 stock index entry and a strategic acquisition aimed at expanding its global footprint. Notably, Coinbase’s CEO, Brian Armstrong, reaffirmed ambitions to elevate the platform to become the top financial services app worldwide in the next decade.

As digital security remains crucial, awareness of similar endeavours like cyprus campaign to attract diaspora talent stresses an increasing need for reliable platforms. As the situation unfolds, both investors and customers remain vigilant, underscoring the importance of security in the growing crypto landscape.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

The Future Forbes Realty Global Properties
Aretilaw firm
eCredo
Uol

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter