System card : https://
www-cdn.anthropic.com/d00db56fa754a1
b115b6dd7cb2e3c342ee809620.pdf
…
MACHINE LEARNING
-
Anthropic system card PDF link shared by @arrakis_ai
By
–
-
LangSmith: costs, trends, quality, latency, and full course
By
–
LangSmith can help you track costs, uncover trends with trace analysis, and monitor quality and latency.
— LangChain (@LangChain) 9 juin 2026
We created a course that walks you through the full stack. pic.twitter.com/8X6T7w6jS2LangSmith helps you track costs, discover trends through trace analysis, and monitor quality and latency. We have created a course that guides you through the full stack.
-
MLA implemented using LoRA in Hugging Face Transformers
By
–
I actually agree and just realize that I totally skipped autoencoders here. Small fun fact though: (in Hugging Face transformers) MLA is implemented using the LoRA tooling
-
AI garbage flood pushing open-source developers to limit
By
–
Flood of #AI 'garbage' is pushing open-source developers to the limit
by Matthew Sparkes @newscientist Learn more: https://
bit.ly/4vofwaU #Coding #GenAI #AIAgents #ArtificialIntelligence #MachineLearning -
Lineage of techniques: from eigen decomposition to LatentMoE
By
–
Always go back to basics: LatentMoE was probably inspired by MLA, which was inspired by LoRA, which was inspired by SVD, which was inspired by eigenvalue decomposition.
-
Latent Spatial Memory for Video World Models
By
–
Latent Spatial Memory for Video World Models pic.twitter.com/sJIpofmrmQ
— AK (@_akhaliq) 9 juin 2026Latent Spatial Memory for World Models
-
Neurosymbolic AI dominates recent AI breakthroughs, deep learning outdated
By
–
Every major AI success of the last 3 years uses neurosymbolic AI. Pure deep learning is history.
-
Small AI model: 30B parameters, 3B active, open source
By
–
Small: 30 billion parameters, 3B active.
Efficient: Benchmarks reaching 33.4 on Artificial Analysis coding index, competitive among similarly sized models.
Open Source: Apache 2.0 license so developers can experiment, test and -
Foffee agent helps make Gemma faster, proud parent feeling
By
–
I asked my foffee agent to help make Gemma faster. I felt like a proud parent.https://t.co/JuJLnRrPka https://t.co/X1aNZ3MGqf pic.twitter.com/vduCu0pSxr
— fofr (@fofrAI) 9 juin 2026I asked my foffee agent to help make Gemma faster. I felt like a proud parent. https://
huggingface.co/spaces/gemma-c
hallenge/gemma-dashboard
… -
Cohere presents North Mini Code, open-source coding model
By
–
Introducing Cohere's first open-source coding model: North Mini Code
— Cohere (@cohere) 9 juin 2026
Small & efficient, designed for agentic performance and built for community input. pic.twitter.com/GYk5ORtysUIntroducing Cohere's first open-source coding model: North Mini Code. Small and efficient, designed for agentic performance and built for community feedback.