INTELLIGENCE ARTIFICIELLE

Introduction Using traditional, lightweight machine learning classifiers on text frequently requires condensing lengthy, often noisy raw text into clean signals to succeed. Therefore, it wouldn’t be crazy to think of using a large language model (LLM) for text summarization as a preprocessing stage before feeding cleaner texts to the downstream classification model. What if we could do this seamlessly as… […]

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. How “reverse game theory” could keep AI agents in check A new approach known as “reverse game theory” aims to control powerful AI models by designing systems that incentivize them to stick to the rules. While… […]

A model that runs in a notebook serves one request at a time. A production endpoint receives many requests at once, and each one needs GPU memory for its key-value (KV) cache, a slot in the batch, and a response stream. Plain PyTorch or Hugging Face Transformers can serve the model, but you have to build the request scheduling, cache… […]

EXECUTIVE SUMMARY A new approach known as “reverse game theory” aims to control powerful AI models by designing systems that incentivize them to stick to the rules. As AI models become more capable, safety researchers are scrambling to ensure they are “aligned” with human desires—to make sure, in other words, that rogue agents don’t break the law, hack into unauthorized… […]

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. At the end of September, President Trump signed an executive order that contained just one directive, ordering government agencies to rebrand what they had been calling artificial intelligence as “Super Intelligence.” That term beat out other contenders,… […]

Running a large language model (LLM) locally is often considered the safest option for developers who want more control over their data. You download the model weights, run everything on your own hardware, and avoid sending sensitive information to external AI providers. But does that automatically make your AI system secure? A recent investigation by Cohere has raised some interesting… […]

In partnership withSnowflake In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The quality of insights that agents currently generate leaves much… […]

Here are Google’s latest AI updates from October 2026 … […]

Provided byHPE When a developer gives an AI agent a coding task, the agent does more than answer once. It plans, generates code, runs tests, and repeats the process to correct errors. A single task can use 10 to 50 times more tokens than a basic chat prompt. The more useful the agent becomes, the more calls it makes. With… […]

The AI certification market has exploded. By 2026, AI credentials account for nearly 30% of all professional certifications being pursued, a 20x increase from pre-ChatGPT levels, according to labor market research from Revelio Labs. That growth has produced two very different categories: a handful of credentials that employers actively screen for and that correlate with measurable salary premiums, and a… […]

Vibe coding is a genuinely new way of building software, not a rebrand of an old one, and it deserves a real definition before this tutorial uses it a hundred more times. The term was coined by Andrej Karpathy in early 2025 to describe a workflow where you describe what you want in natural language and let an AI agent… […]

A quarter of organizations say poor data quality costs them more than $5 million a year, and 7% put that number above $25 million, a Forrester finding IBM cites in its own data quality research. Most of that damage never shows up on a dashboard. Standard cleaning catches nulls, duplicate rows, and type mismatches. Those checks run fast and catch… […]

Spend any time on a job board right now and you’ll see AI mentioned everywhere. But there’s a gap between what shows up as a vague requirement and what employers are actually screening for, and that gap matters if you’re trying to build marketable skills rather than just adding buzzwords to your resume. This article draws on data from several… […]

The first weekend goes well. A model runs locally, a chat window answers questions, and the laptop fan finally has a reason to exist. The third weekend is where home AI labs die. Three containers sit on ports nobody wrote down. A folder of PDFs never got indexed, a cron job lives in someone’s shell history, and an update wiped… […]