Snowflake and Orange Business: Sovereign AI for France
Snowflake and Orange Business collaborate to deliver sovereign data and AI capabilities on trusted French infrastructure for regulated industries.
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Snowflake and Orange Business collaborate to deliver sovereign data and AI capabilities on trusted French infrastructure for regulated industries.
Snowflake and Lumen Technologies announce an alliance to privately and securely connect on-premises and edge data to Snowflake for analytics and AI.
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A practical decaision guide with scenarios for your next generative AI project Continue reading on Medium »
Accelerating the search for novel antimicrobial peptides using Google Antigravity for Science.
By Kamil Kępiński, founder of SmophyAI Continue reading on Medium »
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based gener…
Editor's note: Generative AI startups are moving rapidly beyond static clip generation to build interactive, real-time worlds. In this technical deep dive, we explore how AI startup Visko collaborated with Google Cloud TPU engineers to deploy Orbis — its continuously streaming L…
Small teams, short runway, and constant pressure to ship faster — it’s the reality we see every day among the founders we work with at Google for Startups. When you are building a company from the ground up, every hour spent on operational overhead or infrastructure plumbing is …
An experiment in creative retrieval, exterior algebra, and an idea borrowed from 3D CAD. Continue reading on Medium »
I’ve been working with advertising creatives for almost a year now, and during that time, I’ve learned a few things about using AI for… Continue reading on Medium »
Enterprise leaders want AI agents to take on more work but don't fully trust them to act correctly every time. Trust in Depth is AWS's layered approach-scope, know, bound, observe, and prove-that lets agents act on their own when their actions can be verified, reserving human ju…
https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-GGUF https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Bolt-74B-A9B-24GB-LiLiCorr-GGUF NVIDIA Nemotron 3.5 Bolt 74B-A9B 24GB is a vision-language model (VLM) designed to run everyday agentic tasks locally, using…
Always-on agents are taking on longer, more complex enterprise workflows. A single request can involve reading a document, checking information across sources,...
Google’s new model isn’t for me on my first test, mixed reviews
Celebrate Teachers’ Day with AI for Educators in Brazilian Portuguese and see how Study Mode can help teachers support active, step-by-step learning.
State-of-the-art probabilistic forecasting in four sizes (5M–209M params), CPU-efficient, zero-shot ready.
At 6 p.m., Maria’s shift ends. At 6:05, the deviation lands: a batch out of spec. Everyone on the floor knows what that means: stay late… Continue reading on Medium »
Continue reading on Medium »
Understand parameter counts, memory estimates, and why a model that loads may still struggle to serve your workload. Continue reading on Medium »
How the most powerful image generators came from solving a much easier problem. Continue reading on AI Advances »
A practical project brief for learners: define the task, limit the tools, and make the stopping point visible. Continue reading on Medium »
Sandboxes are all you need.
this is actually interesting: https://commandline.microsoft.com/local-models-sandboxed-tools-github-windows/ Microsoft AI developed a local version of MAI Code 1.1 Flash, a coding-optimized mixture-of-experts model with 137 billion total and 6.8 billion active parameters .
Will there be a black-friday this year?
Step 5 Preview is StepFun's flagship model for agentic work. It delivers frontier-level performance across software engineering and professional knowledge work, with particular strength in finance.
The Nordic countries have become the European leader in unicorn startup density, producing the most emerging companies valued at $1 billion or more per capita on the continent. Now, a new chapter for the region is unfolding as countries race to build one of Europe’s most consequ…
The team and the agent in this story are made up. They are a composite of the problems teams commonly report when agents move from demo to… Continue reading on Medium »
Your customers are getting answers without clicking your website. Continue reading on Medium »
Data teams all get asked the same questions: "what will sales be next quarter?,"...
FactSet’s Text-to-Formula (TTF) system has a deceptively difficult job: take a natural-language...
At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.
How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists.
At Databricks, our enterprise customers receive millions of documents every single...
A Research Agenda and Plan for Action
tl;dr The Recursive Self-Improvement Race * The Core Threat: Recursive self-improvement (RSI) occurs when AI systems take over the process of enhancing their own capabilities. Labs like Anthropic and OpenAI warn this could trigger an uncontrollable intelligence explosion, fundam…
By Kamil Kępiński, founder of SmophyAI Continue reading on Medium »
This new Mr. Chatterbox checkpoint is both pretrained and fine-tuned on Victorian texts for maximum historical accuracy. I've posted questions about this project before in this community, and I really want to thank this community for helping answer my questions. You can also a n…
Imagine asking your AI assistant to analyze a complex blueprint, a financial chart, or a product mockup, only for it to reply, “Sorry, I… Continue reading on Medium »
How better context can make AI-assisted SEO more useful, more accurate, and far less generic Continue reading on Medium »
Generating a 3D model is only the beginning. The harder task often comes next: changing one part without losing everything that already… Continue reading on Medium »
Amazon SageMaker Studio now lets new customers sign up with their Google, GitHub, or Apple credentials and land inside a fully configured Studio environment - no traditional AWS account setup, no credit card, and no console navigation required. Previously, new customers who disc…
With 560B total parameters, 25B active parameters per token, and a 1M-token context window , wait what? 3.0 was just 127B
With OpenAI Daybreak, SentinelOne cuts weeks of malware analysis to hours, creating capacity to investigate more threats.
Training or finetuning a multi-billion parameter foundation model requires significant compute...
Block is building AI-powered security with OpenAI. Its security team investigates threats faster and proposes patches in minutes.
Amber Roberts, Staff Technical Marketing Manager at Databricks, has spent the last...