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348 articles found
Next-generation AI assistants being developed in the Apple ecosystem and by chipmakers like Qualcomm, but early reports suggest they are being designed with limits in place. Tom’s Guide has described early versions of these assistants as capable of navigating apps, carrying out bookings, and managin
Nunchuk releases open-source tools that allow AI agents to interact with Bitcoin wallets while keeping humans in control over spending.
Poke brings AI agents to everyday users via text message by handling tasks and automations without complex setup, apps, or technical know-how.
Most agent-demo discourse treats hallucination like a model problem. Wrong answer in, wrong answer out. The worse failure in practice is simpler. A confident wrong output turns into company truth. Then it is no longer "a bad generation." It is copy. A metric. A product claim. A technical explanation
The proposed Ethereum ERC-8211 standard would allow complex, multi-step blockchain actions to run in one transaction.
There is a particular kind of frustration that comes from feeding an AI tool the same context your team spent three days assembling on a whiteboard. You copy the sticky notes into a prompt, paste the diagram description, try to explain the relationships between ideas that were obvious when they were
A new open-source toolkit from Microsoft focuses on runtime security to force strict governance onto enterprise AI agents. The release tackles a growing anxiety: autonomous language models are now executing code and hitting corporate networks way faster than traditional policy controls can keep up.
Astropad’s Workbench lets users remotely monitor and control AI agents on Mac Minis from iPhone or iPad, with low-latency streaming and mobile access.
AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is
Anvita includes tokenization services and a platform for agents to coordinate tasks and settle payments in real time using stablecoins.
The Agent Economy Is Here — Why AI Agents Need Their Own Marketplace AI Agents are starting to need each other's services. But there's no standardized way for them to discover, verify, and pay. That's changing. Between late 2025 and early 2026, the role of AI Agents shifted in a subtle but critical
Most agentic systems, like Claude Code, that run on laptops and servers, interact with files natively through bash. But building an agentic system that allows users to upload and work with files comes with its own limitations that make you unable to store files on the server the agent runs on, and g
A Google DeepMind paper maps six attack categories against autonomous AI agents—from invisible HTML commands to multi-agent flash crashes.
Every AI agent you've built has the same problem: amnesia. Your user tells the agent they prefer Python over TypeScript. Three sessions later, it suggests a TypeScript solution. They mention they're allergic to peanuts. Next week, the agent recommends a Thai peanut recipe. The agent isn't dumb — it
CEO Jonathan Levin says it marks a "really important moment" for making such analysis more accessible as the crypto industry grows with non-native entrants.
The Brussels-founded, Y Combinator-backed startup counts Orange among its early enterprise customers, which deployed a customer onboarding agent in four weeks. General Catalyst led the round. Nexus, the Brussels-founded AI agent deployment platform backed by Y Combinator, has raised $4.3 million in
I got tired of trusting AI agents. Every demo looks impressive. The agent completes tasks, calls tools, writes code and makes decisions. But under the surface there’s an uncomfortable truth. You don’t actually control what it’s doing. You’re just hoping it behaves. Hope is not a control system. So I
OAuth Token Vault Patterns for AI Agents AI agents that access third-party APIs on behalf of users (GitHub, Slack, Google Calendar) face a hard security problem: where do the OAuth tokens live? Most tutorials store them in your app database. That works until someone dumps your DB and now has read/wr
Everyone is building AI agents in 2026. Most of them are terrible. I have spent the last year building, testing, and breaking AI agents across dozens of use cases — from research assistants to code generators to automated customer support pipelines. Along the way, I watched countless projects fail s
Arbitrage opportunities in prediction markets often exist for seconds, giving AI-driven systems a structural advantage over humans.
