Show HN: Dia, an open-weights TTS model for generating realistic dialogue
Dia is a 1.6B parameter text-to-speech model that generates realistic dialogue from transcripts, allowing for emotion and tone control, as well as nonverbal cues like laughter and coughing.
AI assisted search-based research works now
AI-assisted search-based research has evolved significantly, with tools like OpenAI's o3 and o4-mini and Google's Gemini 2.5 Pro now delivering reliable, real-time answers without hallucinations, marking a pivotal shift in their utility for users.
ClickHouse's new lazy materialization optimizes query performance by deferring column reads until necessary, achieving a 1,576× speedup in specific scenarios without altering SQL code.
The Future of Compute: Nvidia's Crown Is Slipping
NVIDIA's dominance in AI hardware is threatened as hyperscalers like Google and Microsoft consolidate demand and develop custom silicon, undermining NVIDIA's market position and profitability.
Fujitsu and RIKEN develop world-leading 256-qubit sup quantum computer
Fujitsu and RIKEN have developed a groundbreaking 256-qubit superconducting quantum computer, enhancing computational capabilities fourfold from its 64-qubit predecessor, which was launched in October 2023 with support from Japan's MEXT.
CaMeL: Defeating Prompt Injections by Design
CaMeL is a novel defense mechanism designed to protect Large Language Models (LLMs) from prompt injection attacks by creating a secure layer that isolates untrusted data from affecting program flow.
π0.5: A VLA with open-world generalization
The π0.5 model represents a significant advancement in open-world generalization for robots, enabling them to perform tasks in entirely new environments, such as cleaning kitchens and bedrooms not seen during training.
Does RL Incentivize Reasoning in LLMs Beyond the Base Model?
Yang Yue is pioneering new paradigms for incentivizing LLM/MLLM reasoning and exploring generalized world models, aiming to enhance the generalization of VLA.
[R] One Embedding to Rule Them All
OmniSearchSage revolutionizes traditional two-tower architectures by employing a unified query embedding that enhances retrieval of pins, products, and queries through multi-task learning.
Forecaster reacts: METR's bombshell paper about AI acceleration
METR's recent findings indicate an exponential acceleration in AI capabilities, suggesting that models like Claude 3.7 could complete tasks in hours that currently take humans days, with projections extending to year-long tasks by 2031.
[R] [DeepMind] Welcome to the Era of Experience
AI is entering a transformative phase where agents will achieve superhuman capabilities by learning predominantly from experience, rather than relying solely on human-generated data.
Quantum-assured magnetic navigation with higher positioning accuracy than GPS
Quantum-assured magnetic navigation (MagNav) significantly enhances positioning accuracy, achieving up to 46x better error than traditional velocity-aided inertial navigation systems (INS) in airborne trials, with a final accuracy of 22m or 0.006% of flight distance.
Can a single AI model advance any field of science?
AI's transformative potential is being harnessed at Los Alamos National Laboratory (LANL) to tackle complex scientific challenges, with projects like ArtIMis aiming to develop foundation models that can generalize across various scientific domains.
[P] How to measure similarity between sentences in LLMs
Measuring similarity between sentences in LLMs reveals that traditional methods like cosine similarity yield misleadingly high scores, indicating a need for more nuanced approaches to understand internal representations.
Making Brain Waves: AI Startup Speeds Disease Research With Lab in the Loop
BrainStorm Therapeutics leverages AI-powered computational drug discovery and organoids to accelerate the development of treatments for neurological disorders, aiming to reduce the 93% clinical trial failure rate associated with traditional methods.