10:30
Ornith-1.5-9B: Great on Paper, Struggled in My Tests Locally
Fahd Mirza tests the Ornith 1.5 9B model — the smallest and densest member of the Ornith 1.5 family — on a single NVIDIA A100 with 80...
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19:03
Bringing Continual Learning into Enterprises — Samuel Denton, Applied Compute
Samuel Denton, who leads the platform research team at Applied Compute, presents a systematic framework for deploying continual learn...
09:42
Ling-3.0-Tiny: The Small Model Qwen Should Have Shipped
Fahd Mirza puts Ling-3.0-Tiny — a new small model from Chinese lab Inclusion AI — through a live agentic evaluation rather than relyi...
18:02
The Desktop Frontier — Ahmad Osman, Osmantic
Ahmad Osman of Osmantic delivers a data-heavy conference presentation tracking the rapid compression of AI capability into consumer a...
15:41
New Agentic Coding Model Ornith 9B — Is It Worth Running Locally?
Bart Slodyczka tests Ornith 1.0, a newly released open-source agentic coding model family from Deep Reinforce AI (San Francisco), foc...
16:35
Introducing Ornith 1.0
Sam Witteveen introduces Ornith 1.0, a new family of open-weight models from Deep Reinforce that takes a fundamentally different appr...
41:48
GPT 5.6 is out… but not for you lol
David Ondrej sits down with a guest to unpack what they describe as an unprecedented moment in AI history: for the first time ever, t...
08:30
New 225B Coding Model Laguna M.1 – Honest Test (Bugs + Creative Code)
Fahd Mirza takes Laguna M.1 — Poolside's new 225-billion-parameter mixture-of-experts coding model with 23 billion parameters active...
11:37
Nex-N2: Agentic Model with Agentic Thinking for Real-world Productivity
Fahd Mirza reviews Nex-N2 Pro, the second-generation agentic model from Next AGI — an open-source collaboration between Shanghai Inno...
15:59
Nemotron 3 Ultra NVIDIA’s 550B Open Model
NVIDIA has released Nemotron 3 Ultra, a 550 billion parameter mixture-of-experts model built specifically for agentic workloads, and...