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The recent controversy surrounding Google’s Gemma model has once again highlighted the dangers of using developer test models and the fleeting nature of model availability.  Google pulled its Gemma 3 model from AI Studio following a statement from Senator Marsha Blackburn (R-Tenn.) that the Gemma model willfully hallucinated falsehoods about her. Blackburn said the model …

Developers beware: Google’s Gemma model controversy exposes model lifecycle risks Read More »

An international team of researchers has released an artificial intelligence system capable of autonomously conducting scientific research across multiple disciplines — generating papers from initial concept to publication-ready manuscript in approximately 30 minutes for about $4 each. The system, called Denario, can formulate research ideas, review existing literature, develop methodologies, write and execute code, create …

Meet Denario, the AI ‘research assistant’ that is already getting its own papers published Read More »

A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using tools that would have required entire specialized teams just months ago. The catalyst is dlt, an open-source Python library that automates complex data engineering tasks. The tool has reached 3 million monthly downloads and powers data workflows …

AI coding transforms data engineering: How dltHub’s open-source Python library helps developers create data pipelines for AI in minutes Read More »

I’m thrilled to announce a fantastic new addition to our leadership team: Karyne Levy is joining VentureBeat as our new Managing Editor. Today is her first day. Many of you may know Karyne from her most recent role as Deputy Managing Editor at TechCrunch, but her career is a highlight reel of veteran tech journalism. …

Strengthening Our Core: Welcoming Karyne Levy as VentureBeat’s New Managing Editor Read More »

The buzzed-about but still stealthy New York City startup Augmented Intelligence Inc (AUI), which seeks to go beyond the popular “transformer” architecture used by most of today’s LLMs such as ChatGPT and Gemini, has raised $20 million in a bridge SAFE round at a $750 million valuation cap, bringing its total funding to nearly $60 …

The beginning of the end of the transformer era? Neuro-symbolic AI startup AUI announces new funding at $750M valuation Read More »

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and superscalar execution had been in earlier decades. Each marked a generational leap in microarchitecture. By predicting the outcomes of branches and memory …

Moving past speculation: How deterministic CPUs deliver predictable AI performance Read More »

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, “The Illusion of Thinking” Apple argues that LRMs must not be able to think; instead, they just perform pattern-matching. The evidence they provided is …

Large reasoning models almost certainly can think Read More »

Every SOC leader knows the feeling: drowning in alerts, blind to the real threat, stuck playing defense in a war waged at the speed of AI. Now CrowdStrike and NVIDIA are flipping the script. Armed with autonomous agents powered by Charlotte AI and NVIDIA Nemotron models, security teams aren’t just reacting; they’re striking back at …

CrowdStrike & NVIDIA’s open source AI gives enterprises the edge against machine-speed attacks Read More »

Presented by Celonis AI adoption is accelerating, but results often lag expectations. And enterprise leaders are under pressure to prove measurable ROI from the AI solutions — especially as the use of autonomous agents rises and global tariffs disrupt supply chains. The issue isn’t the AI itself, says Alex Rinke, co-founder and co-CEO of Celonis, …

Inside Celosphere 2025: Why there’s no ‘enterprise AI’ without process intelligence Read More »

Researchers at Meta FAIR and the University of Edinburgh have developed a new technique that can predict the correctness of a large language model’s (LLM) reasoning and even intervene to fix its mistakes. Called Circuit-based Reasoning Verification (CRV), the method looks inside an LLM to monitor its internal “reasoning circuits” and detect signs of computational …

Meta researchers open the LLM black box to repair flawed AI reasoning Read More »