Satya Nadella says we should assume all AI models are ‘compromised’
In a lengthy post on X, Microsoft's CEO laid out his views on the dangers posed by highly advanced AI models and how to confront…
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Microsoft’s Satya Nadella says AI models need an ‘emergency brake’
In a Saturday morning post, Microsoft's CEO wrote that it’s time “to step back and assess the trust architecture” of AI.
I spent months researching how we actually got from the 1950s Perceptron to today's LLMs, and I'm turning it into a pixel-art documentary
The most surprising thing in my research was how connected AI's history is. Ideas from decades apart, like Rosenblatt's…
Apple discloses deal to hire team and license tech from personalized podcast startup Huxe
Is Apple hoping to get into the AI-generated podcast business?
Black Box: The Chatbots | The Line | Ep 5 - podcast
Five stories that feel like five answers to one important question: in a world where AI chatbots can help us through a breakup…
DistroKid has been quietly taking down songs in response to UMG lawsuit
Artists are taking to social media to complain that DistroKid has unceremoniously removed their work without notice. Now…
Structural Chain-of-Thought: Reasoning with Executable Computational Graphs
Chain-of-thought prompting enables reasoning in large language models but produces explanations that are difficult to verify…
RELAGRAM: Recursive Latent Graph Model for the Capacitated Vehicle Routing Problem
Latent recursion repeatedly processes internal representations through the same neural network. Recent work has shown this…
Random Feature Pruning for Multi-Class Classification
Weighted sums of random kitchen sinks (W-RKS) is a commonly used feature extraction technique for supervised learning tasks. A…
Anchors Enhance Controllability and Reasoning of Diffusion Language Models
Diffusion language models (DLMs) offer new opportunities for controllable text generation. However, their controllability…
Swarm Telepathy: Prefill-Free KV-Cache Transfer Across Families
LLM multi-agent systems split work across agents that communicate through text. An agent summarizes its findings, another agent…
TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents
AI coding agents operate in iterative loops: they modify code, run tools, inspect the results, and decide what to do next. We…
VLCQ: Post-training quantization for deep neural networks using variable length coding
Quantization plays a crucial role in efficiently deploying deep learning models on resource-constrained devices. Post-training…
Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions
Argument structures represent how individual arguments interact within a discourse. However, leveraging these structures to infer…
Self-Evolving Visual Agent via Margin Reward
Visual agents that interleave reasoning with tool invocation have posed a promising direction for multimodal tasks. However…
GAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability
As text-to-speech (TTS) systems continue to advance, provenance tracking and security verification of synthesized speech have…
Knowledge transfer between simple discrete worlds
Adapting to a new world and reasoning correctly about which outcomes are possible under rules one has not met before is a basic…
On the Theoretical Limits of Learning Unconstrained Interatomic Potentials
Machine-learned interatomic potentials (MLIPs) accelerate molecular dynamics (MD) simulations by learning the energies and forces…
Exposing AI Inference as a Telco Network API over the 5G User Plane
Supporting edge Artificial Intelligence (AI) inference as a network service is challenging because current mobile systems can…
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