Ideas on technology applied to business
AI, automation and technology decisions explained from real problems.
NVIDIA acquires Hugging Face for US$12.93 billion: why it matters far more than the models
NVIDIA agreed to buy Hugging Face for US$12.93 billion. The deal brings the leader in AI computing and a platform with 18 million developers, more than 3 million models, and 500,000 datasets under the same roof.
Anthropic warns: infostealers are stealing active Claude sessions
Anthropic detected compromised Claude accounts through infostealers installed on users' devices. Attackers reused already-authenticated sessions to gain access without a password or MFA and consume credits.
GitHub goes down while Cursor launches Origin: a coincidence that exposes the future of code
GitHub had an outage lasting several hours and, the same day, Cursor introduced Origin, its code hosting platform. The coincidence exposed a bigger fight: who will control the flow between repositories, reviews and AI agents.
Claude is going to leave an invisible mark in its text: what it really means
Anthropic confirmed that the new Claude models will embed an invisible mark in text. It doesn't use hidden characters: it modifies statistical choices between words and makes it possible to detect Claude's probable involvement.
GPT-5.6: how to choose a model by cost, speed and quality
How to compare capability, speed and cost when choosing an AI model for a real workflow, beyond the name of each variant.
Fable 5 and the risk of depending on a single AI provider
A lesson for companies: your AI strategy needs alternatives, your own data and an architecture that doesn't depend on a single provider.
AI agents on Windows: opportunities and controls for companies
AI agents promise to carry out more tasks. The opportunity for companies is in designing processes, permissions and controls before automating.
Microsoft Build 2026 and the new PC for developers with local AI
Microsoft Build 2026 showed something bigger than Copilot: a new generation of developer PCs able to run AI models locally and connect to the cloud.
AI should serve us, not decide for us
AI can save time and open up opportunities, but it can also concentrate power and displace human decisions. The challenge isn't to stop the technology, but to use it with good judgment.