Your Job Isn’t Going Away… But It’s Definitely Evolving
When AI comes to your workplace it doesn’t have to be with a dramatic flourish. There don’t have to be redundancies. There don’t have to be robots marching through the door. One tool. Then another. Then one day your work will simply look different. AI is not so much taking jobs, it is transforming t...
Apple Is Finally Rebuilding Siri From the Ground Up. But Will It Be Any Good This Time?
Ok, I’m going to ask this question, even though I already know the answer. When was the last time you used Siri for something critical? I thought so. It’s been around for a while, but it hasn’t necessarily been useful. That may change soon. Apparently, Apple is building a new version of Siri from sc...
Val Kilmer’s digital resurrection is jolting the entertainment industry, and raising some uncomfortable dilemmas
Val Kilmer is returning to the screen. But not exactly. Not in some retro montage. Not in a long-gone flashback. No, I’m talking about the real deal. Well, sort of. This time, he’ll be brought to life via AI. I can’t blame you if you’re both amazed and a bit disturbed by this news. The basic gist is...
Cohere launches an open source voice model specifically for transcription
Relatively light at just 2 billion parameters, the model is meant for use with consumer-grade GPUs for those who want to self-host it. It currently supports 14 languages.
Game On: Five New Titles Now Streaming on GeForce NOW
That gaming backlog won’t clear itself — GeForce NOW is here to help. Stream the latest titles straight from the cloud across a variety of devices. This week, five new titles are ready to play instantly in the cloud gaming platform’s library. Screamer drifts onto the scene with retro‑racing attitude...
20+ Solved AI Projects to Build Your Portfolio and Boost Your Resume
Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability. This guide compiles over 20 solved p...
What the Bits-over-Random Metric Changed in How I Think About RAG and Agents
Why retrieval that looks excellent on paper can still behave like noise in real RAG and agent workflows
The post What the Bits-over-Random Metric Changed in How I Think About RAG and Agents appeared first on Towards Data Science.
Tencent AI Open Sources Covo-Audio: A 7B Speech Language Model and Inference Pipeline for Real-Time Audio Conversations and Reasoning
Tencent AI Lab has released Covo-Audio, a 7B-parameter end-to-end Large Audio Language Model (LALM). The model is designed to unify speech processing and language intelligence by directly processing continuous audio inputs and generating audio outputs within a single architecture. System Architectur...
Beyond Accuracy: Introducing a Symbolic-Mechanistic Approach to Interpretable Evaluation
arXiv:2603.23517v1 Announce Type: new
Abstract: Accuracy-based evaluation cannot reliably distinguish genuine generalization from shortcuts like memorization, leakage, or brittle heuristics, especially in small-data regimes. In this position paper, we argue for mechanism-aware evaluation that combi...
Implicit Turn-Wise Policy Optimization for Proactive User-LLM Interaction
arXiv:2603.23550v1 Announce Type: new
Abstract: Multi-turn human-AI collaboration is fundamental to deploying interactive services such as adaptive tutoring, conversational recommendation, and professional consultation. However, optimizing these interactions via reinforcement learning is hindered b...
arXiv:2603.23558v1 Announce Type: new
Abstract: Uncertainty quantification is a key aspect in many tasks such as model selection/regularization, or quantifying prediction uncertainties to perform active learning or OOD detection. Within credal approaches that consider modeling uncertainty as probab...
arXiv:2603.23562v1 Announce Type: new
Abstract: Synthetic data augmentation helps language models learn new knowledge in data-constrained domains. However, naively scaling existing synthetic data methods by training on more synthetic tokens or using stronger generators yields diminishing returns be...
arXiv:2603.23539v1 Announce Type: new
Abstract: We show that PLDR-LLMs pretrained at self-organized criticality exhibit reasoning at inference time. The characteristics of PLDR-LLM deductive outputs at criticality is similar to second-order phase transitions. At criticality, the correlation length ...
Environment Maps: Structured Environmental Representations for Long-Horizon Agents
arXiv:2603.23610v2 Announce Type: new
Abstract: Although large language models (LLMs) have advanced rapidly, robust automation of complex software workflows remains an open problem. In long-horizon settings, agents frequently suffer from cascading errors and environmental stochasticity; a single mi...
Evaluating a Multi-Agent Voice-Enabled Smart Speaker for Care Homes: A Safety-Focused Framework
arXiv:2603.23625v1 Announce Type: new
Abstract: Artificial intelligence (AI) is increasingly being explored in health and social care to reduce administrative workload and allow staff to spend more time on patient care. This paper evaluates a voice-enabled Care Home Smart Speaker designed to suppor...
Can LLM Agents Be CFOs? A Benchmark for Resource Allocation in Dynamic Enterprise Environments
arXiv:2603.23638v1 Announce Type: new
Abstract: Large language models (LLMs) have enabled agentic systems that can reason, plan, and act across complex tasks, but it remains unclear whether they can allocate resources effectively under uncertainty. Unlike short-horizon reactive decisions, allocatio...
arXiv:2603.23660v1 Announce Type: new
Abstract: We introduce GTO Wizard Benchmark, a public API and standardized evaluation framework for benchmarking algorithms in Heads-Up No-Limit Texas Hold'em (HUNL). The benchmark evaluates agents against GTO Wizard AI, a state-of-the-art superhuman poker agen...
Revisiting the Scaling Properties of Downstream Metrics in Large Language Model Training
While scaling laws for Large Language Models (LLMs) traditionally focus on proxy metrics like pretraining loss, predicting downstream task performance has been considered unreliable. This paper challenges that view by proposing a direct framework to model the scaling of benchmark performance from th...
AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist. This variety is essential for a future where every application will be powered by AI, every count...