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MIT’s new fine-tuning method lets LLMs learn new skills without losing old ones

When enterprises fine-tune LLMs for new tasks, they risk breaking everything the models already know. This forces companies to maintain separate models for every skill. Researchers at MIT, the Improbable AI Lab and ETH Zurich have developed a new technique that enables large language models to learn new skills and knowledge without forgetting their past…

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NanoClaw solves one of OpenClaw’s biggest security issues — and it’s already powering the creator’s biz

The rapid viral adoption of Austrian developer Peter Steinberger’s open source AI assistant OpenClaw in recent weeks has sent enterprises and indie developers into a tizzy. It’s easy to easy why: OpenClaw is freely available now and offers a powerful means of autonomously completing work and performing tasks across a user’s entire computer, phone, or…

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Why enterprise IT operations are breaking — and how AgenticOps fixes them

Presented by Cisco AI agents are breaking traditional IT operations models, adding complexity, data silos, and fragmented workflows. DJ Sampath, Cisco’s SVP of AI Software and Platform, believes that AgenticOps is the solution: a new operational paradigm where humans and AI collaborate in real time to create efficiency, boost security, and allow for innovative technological…

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OpenAI upgrades its Responses API to support agent skills and a complete terminal shell

Until recently, the practice of building AI agents has been a bit like training a long-distance runner with a thirty-second memory. Yes, you could give your AI models tools and instructions, but after a few dozen interactions — several laps around the track, to extend our running analogy — it would inevitably lose context and…

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‘Observational memory’ cuts AI agent costs 10x and outscores RAG on long-context benchmarks

RAG isn’t always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those limitations are becoming harder to work around. In response, teams are experimenting with alternative memory architectures — sometimes called contextual memory or agentic memory — that prioritize…

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Is agentic AI ready to reshape Global Business Services?

Presented by EdgeVerve Before addressing Global Business Services (GBS), let’s take a step back. Can agentic AI, the type of AI able to take goal-driven action, transform not just GBS but any kind of enterprise? And has it done so yet? As with many new technologies, rhetoric has outpaced deployment in this case. While 2025…

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OpenAI’s new Codex app hits 1M+ downloads in first week — but limits may be coming to free and Go users

In a major milestone for the “AI coding wars,” OpenAI CEO Sam Altman confirmed on X that the company’s standalone Codex application (currently only for Mac computers) surpassed 1 million downloads in its first week of availability, echoing the explosive growth of OpenAI’s hit chatbot ChatGPT after it first launched in late 2022. The surge…

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What AI builders can learn from fraud models that run in 300 milliseconds

Fraud protection is a race against scale.  For instance, Mastercard’s network processes roughly 160 billion transactions a year, and experiences surges of 70,000 transactions a second during peak periods (like the December holiday rush). Finding the fraudulent purchases among those — without chasing false alarms — is an incredible task, which is why fraudsters have…

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Nvidia releases DreamDojo, a robot ‘world model’ trained on 44,000 hours of human video

A team of researchers led by Nvidia has released DreamDojo, a new AI system designed to teach robots how to interact with the physical world by watching tens of thousands of hours of human video — a development that could significantly reduce the time and cost required to train the next generation of humanoid machines….

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AI’s GPU problem is actually a data delivery problem

Presented by F5 As enterprises pour billions into GPU infrastructure for AI workloads, many are discovering that their expensive compute resources sit idle far more than expected. The culprit isn’t the hardware. It’s the often-invisible data delivery layer between storage and compute that’s starving GPUs of the information they need. “While people are focusing their…

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