Contrary to the recent popular narrative, Opensource AI will win
@theahmadosman
-
Anthropic’s GPU Push and Open Source Stance Controversy
By
–
He is I attribute like 1% of my relentless push for Buy a GPU to him and all the anti-opensource folks at Anthropic
-
Anthropic’s Financial Health Under Scrutiny
By
–
Dario is a carny and the more he repeats this narrative the more I believe that Anthropic’s finances are seriously troubled https://
x.com/cgtwts/status/
/cgtwts/status/2049463933317333162
… -
Poolside Releases Laguna XS.2 Open-Weight MoE Model
By
–
Today we’re releasing Laguna XS.2, Poolside’s first open-weight model.
It’s a 33B total / 3B active MoE model built for agentic coding and long-horizon tasks.
Trained fully in-house on our own stack. Runs on a single GPU. Released under Apache 2.0.
Links Weights: -
Ling-2.6-flash Open-Sourced: Fast Token-Efficient Model
By
–
Ling-2.6-flash is now officially open-sourced!
A fast, token-efficient Instruct model built for real-world agent workflows.
104B total parameters · 7.4B active parameters
Available in BF16, FP8, and INT4 variants for different deployment needs.
Key strengths:
– Fast generation: -
Three Opensource AI Models Announced Today
By
–
Three opensource models were announced while I am on the same flight and you're still not bullish on opensource AI, anon?
-
KV Cache Quantization Beyond FP8 Degrades Model Performance
By
–
I keep seeing this advice to quantize the KVCache to 4-bit and save on memory Please don’t do that KV Cache quantization beyond FP8 usually is asking for a nerfed and incoherent model
-
GPU Purchases Continue Dominating Tech Market Trends
By
–
First thing I saw when I got online Buy a GPU keeps on winning
-
Google Stumbles with Gemini 3.1 Generation Behind Competitors
By
–
Gemini 3.1 is a one-generation behind model No idea why Google is fumbling like this Don’t show me benchmarks lol, doesn’t mean anything to me