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DeepReinforce has released Ornith-1.0, their new self-improving family of open-source models designed for agentic coding. > Ornith-1.0 learns to write its own task scaffolds during training rather than relying on human-designed harnesses. > The 397B MoE flagship can match
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I built one to read the AI community here: https://
alignednews.com/ai Shows there's a lot of great stuff that can be done. Also, let Grok read lists and you'll see MANY similar custom algos. Open the algo up! Let us all play. We'll come up with great ideas for how to view various
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Recently the update speed has been very fast. The last two important features of this version are now online. With Wiki and Reflection, it's now complete. In one sentence: EverOS's goal is not to be a memory API, but to be an open-source, local-first, Markdown-native, evolvable Agent Memory OS. 1. Markdown is the source of truth
All long-term memory first is standard.
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Integrating Deep Learning, Biological Hierarchies, to Create a New Identification Tool for Coral Reef Fishes! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux
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A first-of-its-kind open reinforcement learning recipe for terminal agents has just been released. As terminal agents become the primary interface for coding models, this paper, TMAX, shares a reproducible training recipe.
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We're gonna make sure Opensource and Local AI win. Watch us make that the default.
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This is the best ARC-AGI-2 performance to date achieved by an open-source model.
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Why the Frontier Ecosystem must be Open — Matei Zaharia and Reynold Xin, Databricks https://t.co/UsMi085PlW@databricks cofounders @matei_zaharia and @rxin explain why Databricks is moving into the infrastructure layer for enterprise agents, how Omnigent creates a shared… pic.twitter.com/4Uvocmmn9d
— Latent.Space (@latentspacepod) 24 juin 2026
Why the Frontier ecosystem must be open — Matei Zaharia and Reynold Xin, Databricks
https://
latent.space/p/databricks The co-founders of
@databricks @matei_zaharia
and
@rxin
explain why Databricks is entering the infrastructure layer for enterprise agents,
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This is a sad day for the AI community… I'm working on a benchmark we will soon release… and these are early results gathering pretty much all models out there, closed and opened. Red = closed source models
y axis = Elo score
x axis = release date
size = task cost … and
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Kog has open-sourced on @huggingface the 2B model they used to demonstrate a model running at over 3,000 tokens per second. Very cool work! https://huggingface.co/blog/kogai/kog-laneformer-2b-the-latency-first-model …