Tag: News

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 for over 5,000 companies across regulated industries including finance, healthcare and manufacturing. That technology is getting another solid vote of confidence today as dltHub, the Berlin-based company behind the open-source dlt library, is raising $8 million in seed funding led by Bessemer Venture Partners. What makes this significant isn't just adoption numbers. It's how developers are using the tool in combination with AI coding assistants to accomplish tasks that previously required infrastructure engineers, DevOps specialists a

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. Her resume includes pivotal roles at Protocol, NerdWallet, Business Insider, and CNET, giving her a deep understanding of this industry from every angle.Hiring Karyne is a significant step forward for VentureBeat. As we’ve sharpened our focus on serving you – the enterprise technical decision-maker navigating the complexities of AI and data – I’ve been looking for a very specific kind of leader.The "Organizer's Dopamine Hit"In the past, a managing editor was often the final backstop for copy. Today, at a modern, data-focused media company like ours, the role is infinitely more dynamic. It’s the

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 million, VentureBeat can exclusively reveal.The round, completed in under a week, comes amid heightened interest in deterministic conversational AI and precedes a larger raise now in advanced stages.AUI relies on a fusion of the transformer tech and a newer technology called "neuro-symbolic AI," described in greater detail below. "We realize that you can combine the brilliance of LLMs in linguistic capabilities with the guarantees of symbolic AI," said Ohad Elhelo, AUI co-founder and CEO in a recent interview with VentureBeat. Elhelo launched the

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 loads, processors could avoid stalls and keep execution units busy. But this architectural shift came at a cost: Wasted energy when predictions failed, increased complexity and vulnerabilities such as Spectre and Meltdown. These challenges set the stage for an alternative: A deterministic, time-based execution model. As David Patterson observed in 1980, “A RISC potentially gains in speed merely from a simpler design.” Patterson’s principle of simplicity underpins a new alternative to speculation: A deterministic

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 that LRMs with chain-of-thought (CoT) reasoning are unable to carry on the calculation using a predefined algorithm as the problem grows.This is a fundamentally flawed argument. If you ask a human who already knows the algorithm for solving the Tower-of-Hanoi problem to solve a Tower-of-Hanoi problem with twenty discs, for instance, he or she would almost certainly fail to do so. By that logic, we must conclude that humans cannot think either. However, this a

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 attackers before their next move. Welcome to cybersecurity's new arms race. Combining open source's many strengths with agentic AI will shift the balance of power against adversarial AI. CrowdStrike and NVIDIA's agentic ecosystem combines Charlotte AI AgentWorks, NVIDIA Nemotron open models,

Presented by CelonisAI 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, a global leader in process intelligence. “To succeed, enterprise AI needs to understand the context of a business’s processes — and how to improve them,” he explains. Without this business context, AI risks becoming, as Rinke puts it, “just an internal social experiment.”Next week’s

OpenAI has introduced Aardvark, a GPT-5-powered autonomous security researcher agent now available in private beta.Designed to emulate how human experts identify and resolve software vulnerabilities, Aardvark offers a multi-stage, LLM-driven approach for continuous, 24/7/365 code analysis, exploit validation, and patch generation!Positioned as a scalable defense tool for modern software development environments, Aardvark is being tested across internal and external codebases. OpenAI reports high recall and real-world effectiveness in identifying known and synthetic vulnerabilities, with early deployments surfacing previously undetected security issues.Aardvark comes on the heels of Open

The rise of AI marks a critical shift away from decades defined by information-chasing and a push for more and more compute power. Canva co-founder and CPO Cameron Adams refers to this dawning time as the “imagination era.” Meaning: Individuals and enterprises must be able to turn creativity into action with AI.  Canva hopes to position itself at the center of this shift with a sweeping new suite of tools. The company’s new Creative Operating System (COS) integrates AI across every layer of content creation, creating a single, comprehensive creativity platform rather than a simple, template-based design tool.“We’re entering a new era where we need to rethink how we achieve our goals,” said Adams. “We’re enabling people’s imagination and giving them the tools they need to take action.”An 'engine' for creativ

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 errors as the model solves a problem.Their findings show that CRV can detect reasoning errors in LLMs with high accuracy by building and observing a computational graph from the model's internal activations. In a key breakthrough, the researchers also demonstrated they can use this deep insight to apply targeted interventions that correct a model’s faulty reasoning on the fly.The technique could help solve one of the great challenges of AI: Ensuring a model’s reasoning is faithful and correct. This could be a critical step toward building