Dashveenjit Kaur
26 posts
The US-China AI gap closed. The responsible AI gap didn’t
The assumption that the US holds a durable lead in AI model performance is not well-supported by the…
Meta has a competitive AI model but loses its open-source identity
The open-source AI movement has never lacked for options. Mistral, Falcon, and a growing field of open-weight models…
Anthropic locked down its most powerful AI Model over cybersecurity fears–then put it to work
Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system…
Anthropic keeps new AI model private after it finds thousands of external vulnerabilities
Anthropic’s most capable AI model has already found thousands of AI cybersecurity vulnerabilities across every major operating system…
Boomi calls it “data activation” and says it’s the missing step in every AI deployment
The failure mode for enterprise AI in 2026 is not what most people expected. It is not that…
Anthropic’s refusal to arm AI is exactly why the UK wants it
The Anthropic UK expansion story is less about diplomatic courtship and more about what happens when a government…
Experian uncovers fraud paradox in financial services’ AI adoption
The same technology that financial institutions deploying is being weaponised against them. That is the core tension running…
DeepL’s Borderless Business report reveals 83% of enterprises are still behind on language AI
AI is everywhere in the enterprise. The translation workflow often is not. That is the core finding of…
NVIDIA wants to make enterprise AI agents safe enough to actually deploy
The NVIDIA Agent Toolkit is Jensen Huang’s answer to the question enterprises keep asking: how do we put…
NTT DATA and NVIDIA bring enterprise AI factories to production scale
NTT DATA has announced an initiative to deliver NVIDIA-powered platforms designed to give organisations a repeatable, production-ready model…