Gradium AI Releases New Default TTS Model: 81.0% Hard-Case Pass Rate at 216 ms Time-to-First-Audio
Speed and accuracy usually pull against each other in text-to-speech. Gradium AI's new default model reports both: an 81.0% human-rated pass rate on 500 hard sentences across five languages, at 216 ms P50 time-to-first-audio on Coval.
02 Editors pick — story 02Keenable AI Open-Sources NEEDLE: A Live Search Benchmark That Rebuilds Its Query Set Every Hour
How do you benchmark a web search API when the thing being tested can read the answer key? NEEDLE regenerates its query set every hour.
03 Editors pick — story 03Google AI Releases TimesFM-3: A 330M Parameter Zero-Shot Foundation Model For Multivariate Time Series Forecasting
A 330 million parameter model that forecasts multiple related series in a single forward pass. The weights ship under a non-commercial licence.
04 Editors pick — story 04OpenClaw Releases OpenClaw 2.0: Guided Model Setup, 575 ms Control UI Startup, and One Trust Boundary Per Gateway
933 contributors and more than 16,000 pull requests. The rebuilt Control UI cut startup from about 1.6 seconds to 575 ms.
05 Editors pick — story 05Lowest-Latency Inference APIs for Voice and Realtime Agents: A Time to First Token TTFT-First Benchmark
Voice agents fail on latency long before they fail on intelligence. Every layer of the stack, with each figure labelled by how it was measured.
The high-ROI channel engineered to turn developer attention into validated enterprise pipeline.
Open Source
Licence noted on every entryLatest 15
Keenable AI Open-Sources NEEDLE: A Live Search Benchmark That Rebuilds Its Query Set Every Hour
How do you benchmark a web search API when the thing being tested can read the answer key? NEEDLE regenerates its query set every hour, which turns contamination into a scheduling problem rather than a disclosure one.
Physical AI
Latest 10 · spec on every entryAnt Group's Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI
Built from scratch for embodiment rather than fine-tuned from a video generator. It predicts the next state before executing, then re-grounds on what it actually sees.
225 Hzasynchronous control


