Midjourney's expansion into hardware and medical imaging could diversify its market presence and drive innovation in healthcare technology.
The post Midjourney unveils first hardware product, an ultrasonic scanner appeared first on Crypto Briefing.
In hardware, when you ship something broken, the consequences are severe and often irreversible. That’s the world I worked in for years, in verification roles at Mellanox and later at Alibaba. The stakes forced the industry to build a rigorous verification culture. You proved designs worked before they left the building.
In software, verification disciplines look like CI/CD pipelines, static analysis, canary deployments, and observability. But those systems were built around code written at human speed, with human comprehension baked into the process. AI code generation has broken that assumption. The writing process can no longer be trusted to carry institutional knowledge and judgment into the codebase. The industry is being pushed toward the kind of rigorous verification culture that hardware engineers have practiced for decades.
Enterprises are generating code faster than at any point in history. Google recently disclosed that 75% of the company’s new code is now AI-generated. Meta
Midjourney's medical pivot highlights the potential for AI-driven innovation in healthcare, but speculative crypto links could mislead investors.
The post Midjourney launches medical division with sci-fi body scanner, but the Mythos connection remains unverified appeared first on Crypto Briefing.
Nvidia's ENPIRE hands an entire robot fleet to coding agents like Codex and Claude Code, letting them write training code, test it on real hardware, and improve without a human watching.
Insider Brief Genesis AI has unveiled Eno, its first general-purpose robot. According to Genesis AI, the robot combines its proprietary hardware with GENE, the company’s robotics foundation model, which is designed to allow robots to perform a variety of physical tasks rather than being programmed for a single function. Genesis AI said it plans to […]
In the decade-plus since Playground Global's founding, it has built its investment thesis around the idea that breakthroughs in science and engineering — not just software — would create the next generation of valuable companies. Company co-founder Peter Barrett breaks it down in this Crunchbase News Q&A.
We’re seeing an interesting infrastructure tug of war today where GPU clouds are being pulled in two directions. For the economics of AI to work, the enterprise market needs to carve expensive hardware into smaller, shareable units and hand it to customers on demand, similar to how CPUs are doled in public cloud infrastructure. But the more the providers push GPUs to behave like elastic cloud infrastructure, the more they run into the reality that this GPU hardware was never built for safe multitenant use, fast fault recovery, or clean isolation between workloads. That tension is becoming one of the defining operational problems of the AI infrastructure market.
When a gamer launches Steam or the Epic Games Store on their laptop, they don’t have to worry about which GPU is being scheduled, how memory is going to be divided, or really any of the security boundaries or hardware assignment issues on their PC. For consumer PCs, these issues are not just hidden from view, they are irrelevant
