Neural Networks - Page 9
Stories from Neural Networks come first, newest first, then stories from connected topics (Deep Learning, Machine Learning, Guides, LLM, Generative AI, AI Models), each labelled with where it comes from. This view is not indexed by search engines.
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fal Launches FLUX 3 Max Video Model, Built With Black Forest Labs
fal and Black Forest Labs launch FLUX 3 Max, a video model fal says makes a 10-second clip in under 11 seconds, with a preliminary 1,139 Elo.
OpenAI Says Its Latest Models Are Far Better at COBOL and Fortran Code
OpenAI says GPT-6 Astra and GPT-6.1 Sol score far higher on its own COBOL and Fortran coding evals, though production use still needs expert review.
Amazon Bedrock Brings SpaceXAI’s Grok 4.7 to AWS GovCloud (US)
Amazon Bedrock now offers SpaceXAI's Grok 4.7 in AWS GovCloud (US), AWS says, bringing the coding and agent model to US public-sector customers.
Ship Your Own App on Flux by 25 October and Five Builds Win Hosting Paid Back
Flux’s #FluxWeek43 contest runs to 23:59 UTC on 25 Oct. Deploy your own Docker app; five winners get 3 months’ hosting paid back in FLUX, up to 300.
Inception Launches Mercury 3 Diffusion LLM, Claiming GPT-6 Luna Wins
Inception launches Mercury 3, a diffusion LLM with a 1M-token context. It claims wins over GPT-6 Luna and Haiku 5.5 at 4–8x the speed; unverified.
Cloudflare Says Clairic Pulls Typed Data From Text in Under a Second
Cloudflare previews Clairic, a one-pass extraction model on Workers AI at $0.10 per million input tokens. Speed and cost figures are its own tests.
MiniMax Rolls Out M3.1 Flash, a Faster, Cheaper Agentic Model
MiniMax’s M3.1 Flash targets agentic tasks with claimed near-3x speed and 70% lower cost. API now; weights later. Benchmarks are MiniMax’s own.
Indonesia Gets a 27B Open-Weight Model Tuned for Local Languages
GoTo’s 27B Gemma-based model covers Indonesian plus five regional languages. Open-weight under Google’s Gemma licence; AI Singapore co-developed.
Quick Guide: 7 Steps to Run Trading-Bot Statistics on a Grok Bot
Seven steps to run GARCH, regime and walk-forward models on a Grok Bot's cloud computer, from a virtual environment to backtests, keys and backups.
A Grok Bot Can Run Statistical Models on Its Own Cloud Computer
A Grok Bot's cloud computer can install Python stats libraries and fit models in seconds, but has no GPU, no published limits and shared keys.
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