Four-Day Workweeks and Robot Taxes? OpenAI’s Radical Vision for the AI Future Is Turning Heads
It sounds like a late-night conversation with friends, what if artificial intelligence becomes so capable that we simply start working less. and what if we tax machines instead of people? It turns out you don’t need to dream big to make this conversation a reality. It’s now on the agenda of OpenAI. ...
The Robot Uprising Didn’t Happen. But Something Worse Did
More than 50,000 tech employees have lost their jobs so far this year. Asked why, most will say the same thing: artificial intelligence. Not because AI rose up and destroyed their workplaces, but because it assumed many of their responsibilities. And AI doesn’t draw a salary. So far this year, more ...
The End of Clicking? AI Is Quietly Turning Software Into Something That Just… Listens
Imagine never having to click through a software application again. Ever. The days of finding yourself staring blankly at the first screen of a new tool and wondering “What do I do now?” are disappearing. AI is quietly changing the way software is built and it’s a massive deal. Instead of software a...
Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference
Liquid AI just released LFM2.5-VL-450M, an updated version of its earlier LFM2-VL-450M vision-language model. The new release introduces bounding box prediction, improved instruction following, expanded multilingual understanding, and function calling support — all within a 450M-parameter footprint ...
Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or Qwen3 works through a complex math problem, it can generate tens of thousands of tokens before arriving at an answer. Every one of those tokens must be stored in what is ...
Sam Altman responds to ‘incendiary’ New Yorker article after attack on his home
The OpenAI CEO's new blog post responds to both an apparent attack on his home and an in-depth New Yorker profile raising questions about his trustworthiness.
A deep-dive and practical guide to cross-encoders, advanced techniques, and why your retrieval pipeline deserves a second pass.
The post Advanced RAG Retrieval: Cross-Encoders & Reranking appeared first on Towards Data Science.
Agent harnesses are becoming the dominant way to build agents, and they are not going anywhere. These harnesses are intimately tied to agent memory. If you used a closed harness - especially if it’s behind a proprietary API - you are choosing to yield control of your agent&
Introduction to Reinforcement Learning Agents with the Unity Game Engine
A step-by-step interactive guide to one of the most vexing areas of machine learning.
The post Introduction to Reinforcement Learning Agents with the Unity Game Engine appeared first on Towards Data Science.
Understanding BERTopic: From Raw Text to Interpretable Topics
Topic modeling uncovers hidden themes in large document collections. Traditional methods like Latent Dirichlet Allocation rely on word frequency and treat text as bags of words, often missing deeper context and meaning. BERTopic takes a different route, combining transformer embeddings, clustering, ...
How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns. However, these ensembles are impractical in production due to latency constraints and operational complexity. Instead of discarding them, Knowl...
Alibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment you move beyond plain text and start mixing in images and videos, the whole approach starts to buckle. Visual data is token-heavy, semantically sparse relat...
From Karpathy’s LLM Wiki to Graphify: AI Memory Layers are Here
Most AI workflows follow the same loop: you upload files, ask a question, get an answer, and then everything resets. Nothing sticks. For large codebases or research collections, this becomes inefficient fast. Even when you revisit the same material, the model rereads it from scratch instead of build...
NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model
Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently at scale. TensorRT exists, Torch-TensorRT exists, TorchAO exists — but wiring them together, deciding which backend to use for which la...
Stalking victim sues OpenAI, claims ChatGPT fueled her abuser’s delusions and ignored her warnings
OpenAI ignored three warnings that a ChatGPT user was dangerous — including its own mass casualty flag — while he stalked and harassed his ex-girlfriend, a new lawsuit alleges.
TechCrunch is heading to Tokyo — and bringing the Startup Battlefield with it
SusHi Tech 2026 is zeroing in on four technology domains reshaping society: AI, Robotics, Resilience, and Entertainment. Expect live demos of humanoid robots, sessions on autonomous driving's software revolution, deep dives into cyber defense and climate tech, and candid conversations about how AI i...
When Things Get Weird with Custom Calendars in Tabular Models
Since September 2025, we have had Calendar-based Time Intelligence in Power BI and Fabric Tabular models. While this feature offers great possibilities, we must be aware of its pitfalls. Here are some of them.
The post When Things Get Weird with Custom Calendars in Tabular Models appeared first on T...
Evaluating Netflix Show Synopses with LLM-as-a-Judge
by Gabriela Alessio, Cameron Taylor, and Cameron R. WolfeIntroductionWhen members log into Netflix, one of the hardest choices is what to watch. The challenge isn’t a lack of options — there are thousands of titles — but finding the most intriguing one is complex and deeply personal. To help, we sur...
Agents don’t know what good looks like. And that’s exactly the problem.
Luca Mezzalira, author of Building Micro-Frontends, originally shared the following article on LinkedIn. It’s being republished here with his permission. Every few years, something arrives that promises to change how we build software. And every few years, the industry splits predictably: One half d...
Silex, Edge Impulse Team Up for Industrial, Medical Edge AI
Silex Technology, a global leader in embedded wireless connectivity and edge computing solutions, and Edge Impulse, a Qualcomm company and a leading-edge AI MLOps development platform, today announced a collaboration to enable advanced edge AI solutions on Silex’s EP-200Q System-on-Module (SoM) powe...
Revvity, Inc. (NYSE: RVTY) announced that its Revvity Signals Software business is launching Signals BioDesignTM, a cloud-native molecular cloning solution that streamlines biologics research workflows. Built for biotech and pharma R&D teams, the platform simplifies complex cloning processes and ena...
Generative AI in 2026 is reshaping decisions, accountability, and creativity as AI trends redefine the future of generative AI in business and technology. The result is impressive until you see what is missing. The teams are working quicker, delivering more, and creating content, code, and decisions...