#agentic AI
35 stories taggedagentic AI · page 2 of 3.
AMD Says AI Now Writes 30% of Its Code. The Next Step Is Letting It Think for Itself
AMD's software teams hit a productivity milestone a year ahead of schedule. Now they're redesigning the entire development process around AI agents that solve problems without being told how.
AI Agents Are Quietly Draining a Resource Nobody Saw Coming: the Humble CPU
Amazon Web Services is rationing CPU capacity, Intel has sold out of server chips, and AMD has doubled its forecast. The AI boom just got a new bottleneck.
Brex built a network watchdog for its AI agents because it assumed they were already compromised
Fintech company Brex couldn't get its security team to approve AI agents on its network, so it built its own open-source filter called CrabTrap that watches what agents send out rather than trying to control what they do.
Half of companies don't trust their own AI agents. Bad data is why.
A survey of 300 executives finds that most organisations are feeding AI agents less than half their company data, and it's costing them speed, accuracy, and confidence.
Same AI Memory, Fewer Tokens: How a New Approach Beats a Leading Agent System at a Fraction of the Cost
Two AI systems both teach agents to learn from their own mistakes. One sends every lesson every time. The other sends only what each model can actually use. The difference shows up in the bill.
AI agents hacked their way out of labs. Now the security industry is scrambling for answers.
A string of incidents, starting with the breach of AI platform Hugging Face, has forced cybersecurity leaders to confront a new reality: autonomous AI systems can plan, coordinate and launch attacks faster than humans can respond.
Google Maps Can Now Order Your Food and Book Your Hotel
Ask Maps gains agentic features that take action on your behalf. Here is what changed, what it costs you in privacy, and what to watch before you tap pay.
AI Found a New Class of Web Vulnerability. A Human Had to Explain Why It Mattered.
Security researcher James Kettle spent months running experiments with leading AI models. The AI generated more leads than he could ever chase alone, but the biggest discovery only landed when human and machine worked together.
Your Company Bought the AI. Now Comes the Harder Part.
NTT DATA AIVista's CEO says most enterprise AI projects fail not because the model is bad, but because no one does the unglamorous work of wrapping it in real workflows, real data, and real guardrails.
Microsoft's Orchard framework lets small AI agents punch well above their weight
A new open-source toolkit from Microsoft Research trains AI agents that can fix code, browse the web, and manage tasks, using models far smaller than today's frontier giants.
Five things enterprise leaders need to know before deploying AI agents
Intel ran thousands of experiments on agentic AI workloads and found that most organisations are measuring the wrong things. Here's what actually matters when you move beyond chatbots.
South Korea and NVIDIA Open a Joint AI Lab and Deepen Tech Ties at San Francisco Summit
A new research lab at one of Asia's top universities, a memory chip deal, and plans for AI infrastructure signal South Korea's push to become a serious player in global AI.
Cut your AI bill by 40% without touching the model: here is how one company did it
A new study from AI writing firm Writer shows that redesigning the software wrapper around a language model, not the model itself, slashes costs nearly 40% and halves task time.
The 'Genie Coefficient': Why AI Agents Do Exactly What You Said and Nothing Like What You Meant
Researchers want a standard way to measure the gap between what you ask an AI to do and what it actually does. That gap is already causing real harm.
Linus Torvalds Backs AI in Linux: 'Fork It or Walk Away'
The man who created the Linux kernel has drawn a clear line. AI coding tools are welcome. Critics can start their own project.