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NVIDIA Nemotron-3.5-ASR: open-source streaming speech recognition model

By

@datachaz

–

23 June 2026 23h48

🚨 @NVIDIA just quietly dropped an incredibly impressive speech recognition model that completely changes the math for local voice pipelines.

Nemotron-3.5-ASR is a 0.6B parameter, open-source model built specifically for real-time streaming.

What makes it so good:
→ 40+…
— Charly Wargnier (@DataChaz) 23 juin 2026

@NVIDIA just quietly dropped an incredibly impressive speech recognition model that completely changes the math for local voice pipelines. Nemotron-3.5-ASR is a 0.6B parameter, open-source model built specifically for real-time streaming. What makes it so good:
→ 40+

→ View original post on X — @datachaz

23 June 2026
TryLatitude open sources agent monitoring with see-catch-fix flow

By

@scobleizer

–

23 June 2026 23h21

Developers and builders!

Everyone is shipping agents and nobody has a clean system for seeing what they actually do in production.@trylatitude just open sourced their monitoring platform with the see catch fix flow built in. You get clustered failure patterns, auto evals, and… https://t.co/3C3W1rNwsd
— Robert Scoble (@Scobleizer) 23 juin 2026

Developers and builders! Everyone is shipping agents and nobody has a clean system for seeing what they actually do in production. @trylatitude just open sourced their monitoring platform with the see catch fix flow built in. You get clustered failure patterns, auto evals, and

→ View original post on X — @scobleizer

23 June 2026
Aisle preceded Mythos in LLM vulnerability detection using small open model

By

@goodfellow_ian

–

23 June 2026 22h54

Bien que Mythos ait popularisé l'idée de détecter des vulnérabilités avec les LLM, Aisle le faisait plus tôt. D'un point de vue ingénierie, il est intéressant de constater qu'un petit modèle à poids ouvert avec un système de recherche structuré est compétitif pour cette tâche.

→ View original post on X — @goodfellow_ian

23 June 2026
Comprehensive Guide to Scikit-learn for Data Science

By

@gp_pulipaka

–

23 June 2026 21h42

A Comprehensive Guide to #Scikitlearn. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Comp-Guide-Sci
kit
…

→ View original post on X — @gp_pulipaka

23 June 2026
If Google had an enforceable patent on transformers

By

@pmddomingos

–

23 June 2026 19h16

Imagine if Google had an enforceable patent on transformers.

→ View original post on X — @pmddomingos

23 June 2026
DFlash boosts inference 15x on NVIDIA Blackwell with low latency

By

@nvidiaai

–

23 June 2026 19h00

Increase inference performance by up to 15x without sacrificing responsiveness. DFlash, an open source lightweight block diffusion model designed for speculative decoding, delivers up to 15x higher throughput on NVIDIA Blackwell while maintaining the same user interactivity

→ View original post on X — @nvidiaai

23 June 2026
Mythos-level AI risks and open release preparation concerns

By

@emollick

–

23 June 2026 18h34

All Mythos-level models are likely to invite similar risks. Those risks will only be greater with the release of open Mythos-class AI coming in the next 6-12ish months (assuming China allows it) The lack of clarity over what risks concern the government may be slowing preparation

→ View original post on X — @emollick

23 June 2026
Latitude: open-source platform for monitoring AI agents in production

By

@testingcatalog

–

23 June 2026 18h00

Latitude is released as an open-source, MIT-licensed platform for monitoring AI agents in production, letting users surface what an agent does once it meets real users, catch recurring failures, and route fixes back into the editor.

Users can cluster thousands of live… https://t.co/EkRDGxX0Yy pic.twitter.com/p5ALx8rvpz
— 🚨 AI News | TestingCatalog (@testingcatalog) 23 juin 2026

Latitude is released as an open-source platform under the MIT license for monitoring AI agents in production, allowing users to highlight what an agent does once it encounters real users, to detect recurring failures and

→ View original post on X — @testingcatalog

23 June 2026
Open-source monitor tracks agent behavior and failures

By

@datachaz

–

23 June 2026 17h49

Tracking API costs is easy.

Knowing if your agents actually annoyed a user is harder.

Latitude V2 fixes this.

It's an open-source (MIT) monitor reading 100% of traces to catch:
→ bad behavior
→ cluster failures
→ build evals

Fully automated. 100% Free and open-source 👀↓ https://t.co/Yss9fsZWuH
— Charly Wargnier (@DataChaz) 23 juin 2026

Tracking API costs is easy. Knowing if your agents actually annoyed a user is harder. Latitude V2 fixes this. It's an open-source (MIT) monitor reading 100% of traces to catch:
→ bad behavior
→ cluster failures
→ build evals Fully automated. 100% Free and open-source ↓

→ View original post on X — @datachaz

23 June 2026
Krea AI announces downloadable models on Huggingface

By

@krea_ai

–

23 June 2026 17h01

you can download them now from Huggingface: – https://
huggingface.co/krea/Krea-2-Raw
– https://
huggingface.co/krea/Krea-2-Tu
rbo
…

→ View original post on X — @krea_ai

23 June 2026

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