>65% of US physicians use OpenEvidence, with 27 million prompts in April https://
nbcnews.com/tech/tech-news
/openevidence-ai-doctor-medical-physician-login-app-what-npi-uptodate-rcna341064
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AI
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65% of US physicians use OpenEvidence with 27 million prompts in April
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The graph illustrates the bias of AI evaluations toward closed APIs
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This graph illustrates what is flawed in AI evaluations: they structurally favor closed APIs that can route, switch, ensemble and optimize behind the scenes without any transparency. No offense, @ArtificialAnlys, but how to compare a
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General AI models outperform specialized medical sources in study
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For medical information, general AI frontier models (Google, OpenAI, Anthropic) outperformed specialized @EvidenceOpen and @UpToDate as assessed by 12 US clinicians, randomized and blinded to which model and extensive testing/benchmarks. This was not anticipated.
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AI is reshaping discovery in mathematics and physics
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How #AI is reshaping discovery in maths and physics
by Mikhail Burtsev Yang-Hui He @Nature Learn more: https://
bit.ly/4vCrk9O #ArtificialIntelligence #MachineLearning #ML -
Scrappy living-room goal-line tech with YOLO on Metis
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⚽ Scrappy living-room goal-line tech, built on @AxeleraAI Metis:
— Axelera AI (@AxeleraAI) 12 juin 2026
– Stock COCO @ultralytics yolo26s, ball = "sports ball" class
– ~250 fps detection on Metis (was the bottleneck on laptop, now it's OpenCV drawing)
– Goal only counts if it crosses the line between the posts
A… pic.twitter.com/7NQvlrCjLwScrappy living-room goal-line tech, built on @AxeleraAI Metis:
– Stock COCO @ultralytics yolo26s, ball = "sports ball" class
– ~250 fps detection on Metis (was the bottleneck on laptop, now it's OpenCV drawing)
– Goal only counts if it crosses the line between the posts A -
@testingcatalog — 2026-06-12
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KIMI AI : Un nouveau modèle open-source « Kimi K2.7 Code » a été publié sur les API et Huggingface ! > Amélioration des performances en codage et en agent par rapport à K2.6
> Efficacité du raisonnement
> Codage à long horizon Temps de test -
GPT 5.6 likely drops June 23, potentially harming Anthropic
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I’m now 99.99% certain that GPT 5.6 will drop, in Codex and everywhere else, on June 23rd. This could end up being Anthropic’s biggest self own.
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Code-vibe: 100% text video stream on canvas, impossible to block
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ALGUIEN HA “VIBE-CODEADO” UN STREAM DE VÍDEO QUE EN REALIDAD ES 100% TEXTO Y NO SE PUEDE BLOQUEAR
— Nico (@nicos_ai) 12 juin 2026
Reproduce vídeo a 360p y 30fps, pero en la página no hay ningún vídeo.
Cada frame son miles de caracteres de colores repintándose en un canvas.
Para el navegador no es un vídeo.… pic.twitter.com/LlZECZFMMVSOMEONE HAS 'CODE-VIBE' A VIDEO STREAM THAT IS ACTUALLY 100% TEXT AND IMPOSSIBLE TO BLOCK. Reproduces video at 360p and 30fps, but there is no video element on the page. Each frame is thousands of colored characters that repaint on a canvas. For the
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Kimi-K2.7: Major Coding & Reasoning Upgrade
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Moonshot just released the Kimi-K2.7 code, a massive upgrade over Kimi-K2.6! Significant improvements over K2.6:
+21.8% on Kimi Code Bench v2
+11.0% on Program Bench
+31.5% on MLS Bench Lite
It also uses 30% fewer reasoning tokens, follows instructions better, and enhances long-horizon coding tasks. 6x -
Fable’s lack of native imagegen limits multimodal output for presentations
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Not having access to native imagegen does hold Fable back somewhat. It is really good at making PNGs, etc, but there are lots of areas (including commercially valuable ones like presentations) where having the ability to have multimodal output would be helpful/token efficient.