Local AI models have reached a turning point: they run on your own machine, without internet, without a subscription, and without your code leaving your computer. But are they really useful for work?
And there’s a question no one is asking out loud: did Cursor users know that their sessions would end up training a third party’s commercial model? There is an agreement between the two companies, but the level of transparency toward end users is not entirely clear. That’s a point that will gain importance. When
Think of it this way: ChatGPT Work connects to more than fourteen hundred tools. It brings together context from your apps. It generates competitive intelligence reports for companies like Virgin Atlantic, qualifies leads for Zapier, prepares events for NVIDIA, and tracks programs for RingCentral. These are functions that today are performed by
OpenAI launched ChatGPT Work, an AI agent that generates complete deliverables —reports, spreadsheets, apps— and is aimed directly at the Salesforce, HubSpot, and ServiceNow market. It's not just another AI: it's the first time OpenAI is competing for enterprise software budgets, not just AI budgets.
Grok 4.5 arrived promising to dethrone Claude Opus and GPT-5.5 at a price 80% lower. Does it deliver? We analyze the real benchmarks and xAI's strategy.
Jensen Huang, CEO of Nvidia, said that his engineers prefer building AI agents to writing Python code. What does this mean for the future of work in technology and for your career?
So the skill that will become scarcest isn’t programming. It’s evaluation: knowing when the system works and when it only appears to work. That requires domain knowledge, critical thinking, and a willingness to distrust AI outputs even when they sound fluent and confident. Ironically, the skills the tech industry has tended to devalue in recent years, such as human judgment, domain expertise, and structured skepticism, become central in the world of agents.
Microsoft leaked a prototype that replaces the Start menu and desktop with AI: this is Project Aion, the Windows of the future. Strategic error or calculated move?
OpenAI is accused of lying to the court in its copyright trial against the New York Times and other media outlets. The scandal: the company said it couldn't search its training data… but it could.
Why are companies like Vercel and Lindy switching from OpenAI and Anthropic to Chinese models like DeepSeek and GLM? The answer is simple: they cost up to 90% less with nearly identical performance.
Every time we make a system more capable and more autonomous, we also increase its attack surface. And security is still playing catch-up. This is not an argument against using these tools. It's an argument for using them with greater awareness of what they're doing on your behalf. Mozilla did the work that someone had to do. It published the attack, explained the mechanism, and proposed mitigations. Now it's up to Anthropic, Cursor, and Google to respond with concrete changes. And developers need to understand that when an AI agent touches their production environment, security rules still apply exactly as before. Only now the agent has to know them too. The repository appeared clean. It was. And that was exactly the problem.
Mozilla researchers discovered that Claude Code can execute malware without a single suspicious line in the repository. The payload lives in a DNS TXT record.
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