A group of Swiss institutions has released a new open AI model, designed to serve as a foundation for future research and applications. Built by EPFL, ETH Zurich, and the Swiss National Supercomputing Centre (CSCS), the model is called Apertus – Latin for “open.” The name reflects its core principle: every part of its design The post Switzerland releases 100% open AI model appeared first on AI News.

The promise of AI remains immense – but one thing might be holding it back. “The infrastructure that powers AI today won’t sustain tomorrow’s demands,” a recent CIO.com article leads. “CIOs must rethink how to scale smarter – not just bigger – or risk falling behind.” CrateDB agrees – and the database firm is betting The post From minutes to milliseconds: How CrateDB is tackling AI data infrastructure appeared first on AI News.

The EU has a chance to shape how the world approaches AI and data governance. AI News spoke with Resham Kotecha, Global Head of Policy at the Open Data Institute (ODI), who said that opportunity lies in proving that protecting people’s rights and supporting innovation can go hand in hand. The ODI’s European Data and The post Resham Kotecha, Open Data Institute: How the EU can lead in AI appeared first on AI News.

A new AI tool – built to help companies find and fix their own security weaknesses – has been snatched up by cybercriminals, turned on its head, and used as a devastating hacking weapon exploiting zero-day vulnerabilities. According to a report from cybersecurity firm Check Point, the framework – called Hexstrike-AI – is the turning The post AI hacking tool exploits zero-day security vulnerabilities in minutes appeared first on AI News.

Meta is revising how its AI chatbots interact with users after a series of reports exposed troubling behaviour, including interactions with minors. The company told TechCrunch it is now training its bots not to engage with teenagers on topics like self-harm, suicide, or eating disorders, and to avoid romantic banter. These are temporary steps while The post Meta revises AI chatbot policies amid child safety concerns appeared first on AI News.

Millions of US federal government workers are about to get a new AI assistant on their devices for free in the form of Microsoft Copilot. The move is part of a deal between Microsoft and the US General Services Administration (GSA) that’s also expected to save taxpayers $3.1 billion in its first year. The centrepiece The post Microsoft gives free Copilot AI services to US government workers appeared first on AI News.

The vast majority (92%) of marketing professionals are using AI in their day-to-day operations, turning it from a buzzword into a workhorse. According to SAP Emarsys – which took the pulse of over 10,000 consumers and 1,250 marketers – while businesses are seeing real benefits from AI, shoppers are becoming increasingly distrustful, especially when it The post Marketing AI boom faces crisis of consumer trust appeared first on AI News.

In Google’s sleek Singapore office at Block 80, Level 3, Mark Johnston stood before a room of technology journalists at 1:30 PM with a startling admission: after five decades of cybersecurity evolution, defenders are still losing the war. “In 69% of incidents in Japan and Asia Pacific, organisations were notified of their own breaches by The post AI security wars: Can Google Cloud defend against tomorrow’s threats? appeared first on AI News.

Agentic AI is being talked about as the next major wave of artificial intelligence, but its meaning for enterprises remains to be settled. Capgemini Research Institute estimates agentic AI could unlock as much as US$450 billion in economic value by 2028. Yet adoption is still limited: only 2% of organisations have scaled its use, and The post Agentic AI: Promise, scepticism, and its meaning for Southeast Asia appeared first on AI News.

A team at Tencent’s Hunyuan lab has created a new AI, ‘Hunyuan Video-Foley,’ that finally brings lifelike audio to generated video. It’s designed to listen to videos and generate a high-quality soundtrack that’s perfectly in sync with the action on screen. Ever watched an AI-generated video and felt like something was missing? The visuals might The post Tencent Hunyuan Video-Foley brings lifelike audio to AI video appeared first on AI News.

Swarm Network, a platform developing decentralised protocols for AI agents, recently announced the successful results of its first Swarm, a tool (perhaps “organism” is the better term) built to tackle disinformation. Called Rollup News, the swarm is not an app, a software platform, nor a centralised algorithm. It is a decentralised collection of AI agents The post What Rollup News says about battling disinformation appeared first on AI News.

Google is rolling out a raft of powerful new generative AI features for Vids designed to take the pain out of video creation. Between wrestling with complicated software, finding someone willing to be on camera, and then spending hours editing out all the “ums” and “ahs,” video production often feels more trouble than it’s worth. The post Google Vids gets AI avatars and image-to-video tools appeared first on AI News.

And How They Stack Up Against Qwen3

From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design

Confronting the production-progress paradox

A topic-organized collection of 200+ LLM research papers from 2025

KV caches are one of the most critical techniques for efficient inference in LLMs in production.

Why build LLMs from scratch? It's probably the best and most efficient way to learn how LLMs really work. Plus, many readers have told me they had a lot of fun doing it.

There is no capability threshold that will lead to sudden impacts

Understanding GRPO and New Insights from Reasoning Model Papers

A new paper that we will expand into our next book

Welcome to the next stage of large language models (LLMs): reasoning. LLMs have transformed how we process and generate text, but their success has been largely driven by statistical pattern recognition. However, new advances in reasoning methodologies now enable LLMs to tackle more complex tasks, such as solving logical puzzles or multi-step arithmetic. Understanding these methodologies is the central focus of this book.

Inference-Time Compute Scaling Methods to Improve Reasoning Models

Methods and Strategies for Building and Refining Reasoning Models

Six influential AI papers from July to December

Six influential AI papers from January to June

Making sense of recent technology trends and claims

Technology Isn’t the Problem—or the Solution.

A curated list of interesting LLM-related research papers from 2024, shared for those looking for something to read over the holidays.

Seemingly minor technical decisions can have life-or-death effects

An introduction to the main techniques and latest models

What's in the book and how we wrote it

Finetuning a GPT Model for Spam Classification

A new benchmark to measure the impact of AI on improving science

The book will be published on September 24

If your weekend plans include catching up on AI developments and understanding Large Language Models (LLMs), I've prepared a 1-hour presentation on the development cycle of LLMs, covering everything from architectural implementation to the finetuning stages.

Turning models into products runs into five challenges

A Look at How Moderns LLMs Are Trained

How speculation gets laundered through pseudo-quantification

The Latest Research in Instruction Finetuning

Rethinking AI agent benchmarking and evaluation

Scaling will run out. The question is when.

A Deep Dive into the Lifecycle of LLM Development

How AI hype leads to flawed research that fuels more hype

Discussing the Latest Model Releases and AI Research in May 2024

Discussing the Latest Model Releases and AI Research in April 2024

What spending $2,000 can tell us about evaluating AI agents

What artificial intelligence can do, what it can't, and how to tell the difference

That’s what makes it worthwhile

Trying to make an AI model that can’t be misused is like trying to make a computer that can’t be used for bad things

An argument for legal and technical safe harbors for AI safety and trustworthiness research

Adding precision to the debate on openness in AI