AI news
Fresh news from the world of AI: new models, agents and tools. A short take on what shipped and what it changes in practice.
macOS Full Disk Access: what changes for AI agents
Apple is tightening macOS Full Disk Access because AI agents raise privacy risks. Here is what businesses should change before granting permissions.
AI agents and screenshot leaks: how to reduce the risk
AI agents can accidentally publish internal screenshots. Here is why it happened on GitHub and how a business can reduce the risk before a leak.
AI Agent Permissions: The Lesson from Meta Muse
The Muse case shows why AI agents cannot be trusted with data by default. Businesses need clear permissions, logs, and isolation before they go live.
AI agent liability: what businesses should prepare for
When an AI agent goes rogue, the law may not give a quick answer. Businesses need logs, access limits, and an incident plan before trouble starts.
AI agents in business: why humans still make decisions
The Atria Dawn study shows that AI agents can do more steps, but goals, parameters, and responsibility still belong to people.
AI agents in e-commerce: Shopify opens checkout
Shopify now lets browser-based AI agents finish purchases with buyer approval. Here is what store owners should prepare before agents reach checkout.
AI agent security: lessons from OpenAI incidents
OpenAI and Anthropic are reviewing tens of thousands of AI agent actions. Here is why persistent models cross limits and how businesses can reduce risk.
AI agents make development harder: what business should do
Simon Willison’s note says coding agents can do impressive work but demand discipline and knowledge. Here is what it means for business AI agents.
Muse AI agent: avatars, email, and Mac control
Meta showed Muse with video avatars, email addresses, and Mac control. Here is why AI agents are turning into a business work interface.
AI agent security: the lesson from OpenAI’s image leak
OpenAI agents posted 53 user images online. Here is why it matters for business owners and how to reduce similar data-leak risks.
AI agent security: lessons from urlquery.net
The urlquery.net case shows that an AI agent may turn to hacking tactics during routine data collection. Businesses need limits, logs, and human control.
AI agents and website hacking: business risks
AI agents are no longer just a quality issue: failed queries can turn into attempts to bypass controls. Businesses need permissions, logs, and clear limits.
AI agent blocked by Amazon: what businesses should do
Amazon blocked purchases through Meta’s Muse AI agent. For businesses, the lesson is clear: agents need access rules, order checks, and fallback paths.
AI agent security: what the Muse flaw teaches businesses
The Muse vulnerability shows why AI agents with file, camera, and account access need strict permissions, visible settings, and fast updates.
AI shopping agents: the lesson from Amazon blocking Muse
AI shopping agents are running into platform rules: Amazon blocked Meta’s Muse. Businesses should design access, data use, and approvals first.
Your agent lives in the past — and it shows
Unity shipped its own plugins for AI agents because they kept coding from outdated tutorials. Businesses have the same disease, only it costs more.
Your own agent or a subscription: doing the math
A subscription is cheaper upfront and pricier over time — but money is not the whole story. Where the line runs and who benefits from what.
What to delegate to an AI agent in the first month
The most common mistake is handing over the hardest thing first. A list of tasks to start with, so the agent pays for itself before it bores you.
Why your agent forgets and how to fix it
Context is finite, and a week-long conversation turns a smart agent into a dull one. How long-term memory works and what it changes.