Introducing the lab sponsors for the Databricks Grounded Reasoning Cup at #DataAISummit 2026: @AnthropicAI
, @OpenAI
, and @GoogleDeepMind
. Each lab is partnering with leading academic teams to build agents that tackle grounded reasoning over complex government data using the
LLMS
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Databricks Grounded Reasoning Cup sponsors: Anthropic, OpenAI, Google DeepMind
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Gemma 4 12B: encoder-free open model with agentic reasoning, vision, audio
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Gemma 4 12B shipped today under the label "encoder-free." A local 12b model that shows really good results. I'm a big fan of Gemma Gemma 4 12B is out: a dense, fully open model (Apache 2.0) that runs on a 16GB laptop and does agentic reasoning, vision and audio at a quality
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Scaling PEFT: Towards Million Personal Models of Trillion Parameters
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"On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters" Right now LLM personalization mostly means prompts, memory, or retrieval on top of one shared assistant. This paper instead keeps one trillion-parameter base model shared, and give each user a tiny
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Benchtalks #2 discusses ProgramBench where frontier models scored 0%
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Benchtalks #2 is up with @vincentsunnchen. @jyangballin of @stanfordnlp, creator of @SWEbench, on ProgramBench, the benchmark every frontier model scored 0% on at launch.
— Snorkel AI (@SnorkelAI) 3 juin 2026
They dive into end-to-end code generation, why models reward-hack once they get internet access, and the… https://t.co/WZmhUqa8yaBenchtalks #2 is up with @vincentsunnchen
. @jyangballin of @stanfordnlp
, creator of @SWEbench
, on ProgramBench, the benchmark every frontier model scored 0% on at launch. They dive into end-to-end code generation, why models reward-hack once they get internet access, and the -
Open-source models: Faster, cheaper, more control, and privacy
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Routing and post-training open-source models won't only give you more accurate systems but also meaningfully faster and cheaper systems as most companies are currently learning (in addition to giving you more control and privacy). The idea that a "frontier" model (by frontier we
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Positive endorsement of ’50 ML Projects to Understand LLMs’ book
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Here is my editorial endorsement: This book perfectly reflects its title "50 ML Projects to Understand LLMs". The entire book consists of exactly that: 50 projects, with tasks and subtasks pleasantly outlined, explained, and presented in a beautifully instructive and consistent
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Gemma 4 hits 150M+ downloads with new, powerful 12B model for local use
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Celebrating the milestone of a massive 150+ million downloads of Gemma 4 with the release of the new Gemma 4 12B model! It's incredibly powerful for such a small model and it’s tiny enough to run locally on a laptop with just 16GB VRAM. Apache 2.0 license – happy building!
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Simpler approach in Unified Embedding Decoder Architecture category
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Conceptually, it fits nicely into the Unified Embedding Decoder Architecture category that I wrote about a while back: https://
magazine.sebastianraschka.com/p/understandin
g-multimodal-llms
…
I think it's the refreshingly simple(r) approach of the two. -
Gemma 4 12B released, runs comfortably on 16GB VRAM for LFM newcomers
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They should all run comfortably (if you have ~16 GB VRAM). I am quite new to LFM's, and Gemma 4 12B just came out today, so time will tell…
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Four additions to open-weight local LLM on consumer hardware
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It's been a while! 4 nice additions to the open-weight local-LLM-on-consumer-hardware ecosystem: