Threat actors with ties to North Korea have likely become the latest to exploit the recently disclosed critical security React2Shell flaw in React Server Components (RSC) to deliver a previously undocumented remote access trojan dubbed EtherRAT. “EtherRAT leverages Ethereum smart contracts for command-and-control (C2) resolution, deploys five independent Linux persistence mechanisms, and Read More
Shanya is the latest in an emerging field of packing malware, selling obfuscation functionality in order to help ransomware actors reach their target. Read More
Four distinct threat activity clusters have been observed leveraging a malware loader known as CastleLoader, strengthening the previous assessment that the tool is offered to other threat actors under a malware-as-a-service (MaaS) model. The threat actor behind CastleLoader has been assigned the name GrayBravo by Recorded Future’s Insikt Group, which was previously tracking it as […]
Real-world reasoning: How Amazon Nova Lite 2.0 handles complex customer support scenariosArtificial Intelligence This post evaluates the reasoning capabilities of our latest offering in the Nova family, Amazon Nova Lite 2.0, using practical scenarios that test these critical dimensions. We compare its performance against other models in the Nova family—Lite 1.0, Micro, Pro 1.0, and Premier—to elucidate how the latest version advances reasoning quality and consistency.
This post evaluates the reasoning capabilities of our latest offering in the Nova family, Amazon Nova Lite 2.0, using practical scenarios that test these critical dimensions. We compare its performance against other models in the Nova family—Lite 1.0, Micro, Pro 1.0, and Premier—to elucidate how the latest version advances reasoning quality and consistency. Read More
The Machine Learning “Advent Calendar” Day 9: LOF in ExcelTowards Data Science In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms. This reveals the key idea of unsupervised learning: there is no single “true” outlier, only definitions. Understanding these definitions is the real skill.
The post The Machine Learning “Advent Calendar” Day 9: LOF in Excel appeared first on Towards Data Science.
In this article, we explore LOF through three simple steps: distances and neighbors, reachability distances, and the final LOF score. Using tiny datasets, we see how two anomalies can look obvious to us but completely different to different algorithms. This reveals the key idea of unsupervised learning: there is no single “true” outlier, only definitions. Understanding these definitions is the real skill.
The post The Machine Learning “Advent Calendar” Day 9: LOF in Excel appeared first on Towards Data Science. Read More
Canadian organizations have emerged as the focus of a targeted cyber campaign orchestrated by a threat activity cluster known as STAC6565. Cybersecurity company Sophos said it investigated almost 40 intrusions linked to the threat actor between February 2024 and August 2025. The campaign is assessed with high confidence to share overlaps with a hacking group […]
Cybersecurity researchers have discovered two new extensions on Microsoft Visual Studio Code (VS Code) Marketplace that are designed to infect developer machines with stealer malware. The VS Code extensions masquerade as a premium dark theme and an artificial intelligence (AI)-powered coding assistant, but, in actuality, harbor covert functionality to download additional payloads, take Read More
How people really use AI: The surprising truth from analysing billions of interactionsAI News For the past year, we’ve been told that artificial intelligence is revolutionising productivity—helping us write emails, generate code, and summarise documents. But what if the reality of how people actually use AI is completely different from what we’ve been led to believe? A data-driven study by OpenRouter has just pulled back the curtain on real-world AI usage by analysing over 100
The post How people really use AI: The surprising truth from analysing billions of interactions appeared first on AI News.
For the past year, we’ve been told that artificial intelligence is revolutionising productivity—helping us write emails, generate code, and summarise documents. But what if the reality of how people actually use AI is completely different from what we’ve been led to believe? A data-driven study by OpenRouter has just pulled back the curtain on real-world AI usage by analysing over 100
The post How people really use AI: The surprising truth from analysing billions of interactions appeared first on AI News. Read More
Newsweek: Building AI-resilience for the next era of informationAI News Artificial intelligence is transforming the way information is created, summarised, and delivered. For publishers, the shift is already visible. Search engines provide AI-generated overviews, users get answers without clicking, and content is scraped by large language models that train on decades of journalism. In this environment one question remains: How does a publisher survive when
The post Newsweek: Building AI-resilience for the next era of information appeared first on AI News.
Artificial intelligence is transforming the way information is created, summarised, and delivered. For publishers, the shift is already visible. Search engines provide AI-generated overviews, users get answers without clicking, and content is scraped by large language models that train on decades of journalism. In this environment one question remains: How does a publisher survive when
The post Newsweek: Building AI-resilience for the next era of information appeared first on AI News. Read More
Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool CallingMarkTechPost Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text. Model lineup and context length The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and
The post Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool Calling appeared first on MarkTechPost.
Zhipu AI has open sourced the GLM-4.6V series as a pair of vision language models that treat images, video and tools as first class inputs for agents, not as afterthoughts bolted on top of text. Model lineup and context length The series has 2 models. GLM-4.6V is a 106B parameter foundation model for cloud and
The post Zhipu AI Releases GLM-4.6V: A 128K Context Vision Language Model with Native Tool Calling appeared first on MarkTechPost. Read More