Meta just released Muse Spark Open, an 816B-parameter open-weight model it calls the most capable US-built one yet. It runs locally across two M5 Ultra Mac Studios via Apple's MLX.
Is the future of enterprise AI a desktop, not a data centre?

Black Forest Labs schrumpft sein Bildmodell und schlägt trotzdem die Großen. FLUX 3 Image Klein liefert als Open Weights native 4K-Bilder, läuft ab 8 GB VRAM und lässt im Vergleich selbst FLUX.2 Pro hinter sich. #FLUX #OpenWeights
Meta just released Muse Spark Open, an 816B-parameter open-weight model it calls the most capable US-built one yet. It runs locally across two M5 Ultra Mac Studios via Apple's MLX.
Is the future of enterprise AI a desktop, not a data centre?
Nvidia just dropped three open Nemotron 3.5 models: 120B Super VL for always-on agents, Bolt 74B-A9B in 24GB VRAM, and a 4GB Bolt E4B for edge. Open weights, out today. Can local models displace cloud APIs in enterprise?
Ecosia swapped Mistral for open-weight models this month — Qwen, GLM, Kimi, served from Germany (Politico, 6 Oct).
It's called a privacy win. It isn't.
Open weights decide who's allowed to RUN the model. Where it runs decides who can SEE your data.
Only the second is about you.
Ecosia swapped Mistral for open-weight models this month — Qwen, GLM, Kimi, served from Germany (Politico, 6 Oct).
It's called a privacy win. It isn't.
Open weights decide who's allowed to RUN the model. Where it runs decides who can SEE your data.
Only the second is about you.
Mistral plans to release Large 4’s weights by the end of October. That gives developers control, but also hands them the infrastructure problem. Open access wins only if self-hosting beats a managed API. #AI #OpenWeights…
Mistral Large 4, apodado «le Chonk»: 1 billón de parámetros, 52B activos, MoE multimodal nativo. SOTA entre abiertos en ciberseguridad, finanzas y derecho; supera a cerrados en visual grounding. IA soberana europea. https://mistral.ai/news/mistral-large-4/ #MistralLarge4 #OpenWeights #AISovereignty
Nvidia is spending on startups, acquisitions and its own models to put open-weight AI on its chips, and Reflection AI's Beam is the newest test.
#AiModels #Deepseek #Nvidia #OpenWeights #Qwen #ReflectionAi
Ein Modell, das es offiziell nie gab – also hat es jemand selbst gebaut. Genau das ist die Konsequenz offener Gewichte: Nicht der Anbieter entscheidet, ob ein Modell existiert, sondern der Bedarf. #OpenWeights
Mehr von mir: linkedin.com/in/maurice-putinas
Microsoft-Decision-1 gibt keine Texte aus, sondern kalibrierte Wahrscheinlichkeiten pro Antwortoption – für Routing, Klassifikation und Agenten-Steuerung. Basis: Qwen3.5-9B. Entscheiden und Generieren sind offenbar zwei Aufgaben. #OpenWeights
Mehr von mir: linkedin.com/in/maurice-putinas
Mistral just shipped Europe's 1-trillion-parameter "open-weights" model. You can't download it yet.
Tied with GPT-6 Luna on one index, 33rd of 45 on another.
By the numbers:
Context Window: 32768
Max Tokens: 8192
Input Cost: 0
Output Cost: 0
#selfhosting #batchinference #gpuoptimization #llm #openweights #inference
1T parameters, open weights, trained in Europe on 3,800 Grace Blackwell GPUs. At ~500GB quantized, Mistral Large 4 isn't a model you run. It's a model you distill from. Open was never about everyone running the flagship. It's about nobody needing permission to build on it.
Hirundo’s Qwen release makes political behavior look editable: a merged checkpoint, not a new model trained from scratch. For open-weight developers, that is useful, if the edit does not trade refusals for distortion. #OpenWeights…
Why is Mistral's new flagship called Le Chonk? It's 1.05T params (49B active), trained from scratch on 3,800 Grace Blackwell GPUs in Europe. It scores 82% on CyberGym-E2E, where closed models land near zero, partly by refusing. Preview API now, weights due Oct 31. #MachineLearning #OpenWeights
Congrats to Mistral AI on the impressive results and reviews for their new “Le Chonk” open-source / open-weights model 👏🥖🇪🇺
Cant wait to test it.
شركة Mistral الفرنسية أعلنت أكبر نموذج في تاريخها: Mistral Large 4… بتريليون بارامتر! 🇫🇷🤯
الإعلان كان يوم 6 أكتوبر، واسمه الكودي Le Chonk 🐈 (لقب مرح للنموذج الضخم).
#Mistral #MistralLarge4 #LeChonk #OpenWeights #الذكاء_الاصطناعي #حسام_الدين_حسن #خبير_اونلاين #epreneurs #مهارات_2026
Mistral launched Chonk, a one-trillion-parameter open-weight model trained on its own European compute, staking its case on data sovereignty.
@BijanBowen on YT!
Ling 3.1 Flash First Test – Is THIS Really a #DeepSeek Competitor?
#OpenWeights soon #Ling3.1 #Deepseek #AI
10/6/26
The Nvidia-backed startup unveiled Beam, a 501B-parameter open-weight model it says matches GLM-5.2 on reasoning while using 3-4x less inference compute.