Future News, Today
Tech workers in China are being instructed by their bosses to train AI agents to replace them—and it’s prompting a wave of soul-searching among otherwise enthusiastic early adopters. Earlier this…
Cybersecurity has always had a dual-use problem: the same technical knowledge that helps defenders find vulnerabilities can also help attackers exploit them. For AI systems, that tension is sharper than…
Legal tech companies, and especially VC-fuelled startups, have an ARR problem. At its core is how you define ‘Annual Recurring Revenue’. Things have come to …
It’s a concept that both scares and delights: the possibility that aging might not be an inevitable human fate, as was once assumed. It seemed like the kind of thing…
For years, the way large language models handle inference has been stuck inside a box — literally. The high-bandwidth RDMA networks that make modern LLM serving work have confined both…
Anthropic has never published a technical paper on Claude Mythos. That has not stopped the research community from theorizing. A new open-source project called OpenMythos, released on GitHub by Kye…
Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models based on decision…
In this tutorial, we build a workflow that combines Magika’s deep-learning-based file type detection with OpenAI’s language intelligence to create a practical and insightful analysis pipeline. We begin by setting…
The demand for hyper-realistic video generation is skyrocketing, and Happy Horse AI has quickly emerged as a frontrunner in this competitive space. This The post Happy Horse AI appeared first…
Quantum computing has spent years living in the future tense. Hardware has improved, research has compounded, and venture dollars have followed — but the gap between a quantum processor running…