Modern Time Series Analysis with R: Practical Forecasting and Impact Estimation with Tidy, Reproducible Workflows! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless
AI
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DeepSeek V4 Training Costs: Skepticism on Reported Figures
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With the release of DeepSeek V4 imminent, it’s worth remembering that any headline numbers about its training costs should be taken with a massive grain of salt.
— Nina Schick (@NinaDSchick) 31 mars 2026
The claim that they trained their V3 model for just $6 million is like saying a transatlantic flight only costs the… pic.twitter.com/fnOIyINiewWith the release of DeepSeek V4 imminent, it’s worth remembering that any headline numbers about its training costs should be taken with a massive grain of salt. The claim that they trained their V3 model for just $6 million is like saying a transatlantic flight only costs the
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Runway Launches Fund to Support Early-Stage AI Startups
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We're excited to formalize this work as part of our commitment to early-stage startups. If you're building something in this space, we want to hear from you. Learn more at runwayml.com/news/introducin…
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Runway launches investment fund for AI and media companies
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Today we're also introducing the Runway Fund, an investment vehicle dedicated to backing the next generation of companies building across AI, media and world simulation. For the past several years, we've been investing quietly with this fund, backing a range of companies, including @cartesia, @lancedb and @tamarindbio.
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Convergence Toward Continual Learning and Self-Evolving Systems
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things are converging towards continual learning and self-evolving systems.
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Apply Now for Runway Builders Program
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Apply at runwayml.com/product/builder…, and learn more at runwayml.com/news/introducin…
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Runway Builders Program Expands with Founding Cohort of AI Startups
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Runway Builders is already live with a founding cohort of startups — including @cartesia, @mschf, Spara, Subject and Supersonik — building across customer experience, synthetic media and interactive AI. We're now opening the program more broadly.
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Runway Builders: Program for Startups Using Generative AI
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Today we are introducing Runway Builders, a program for Seed to Series C startups building the next generation of products and services with generative video and real-time conversational AI at their core. Participating companies receive complimentary API credits, our highest rate limits and access to a private community. Apply and learn more at the links below. [Translated from EN to English]
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Unified Agent Definition Across Claude Code CrewAI OpenAI
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Absolutely, same agent definition across Claude Code, CrewAI, and OpenAI is what makes it useful
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GitAgent: Framework-Agnostic Standard for Portable AI Agents
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If you found it useful, reshare it with your network Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering! nitter.net/Sumanth_077/status/203… Sumanth (@Sumanth_077) Turn any git repo into an AI agent! GitAgent is a framework-agnostic standard that lets you define agents as git repositories. Every AI framework has its own structure. Claude Code, OpenAI, LangGraph, CrewAI, AutoGen all use different formats. You build an agent in one framework and it's locked there. No portability. No reuse. GitAgent fixes this. Your repository becomes your agent. Drop two files into a git repo (agent.yaml for the manifest, SOUL. md for identity) and it becomes a portable agent definition. Export it to any framework with adapters. You get git's workflow for free. Version control your prompts. Roll back broken changes with git revert. Fork public agents, customize them, and PR improvements back. Run gitagent validate in GitHub Actions to catch issues before deployment. The structure is flexible. Start with just agent.yaml and SOUL. md. Add skills, tools, workflows, memory, and compliance rules as you need them. Everything is optional except those two core files. It works across frameworks. Export to Claude Code, OpenAI Agents SDK, CrewAI, or as a raw system prompt. Same agent definition, different runtimes. Built for compliance. First-class support for FINRA, Federal Reserve, and SEC requirements. Segregation of duties built into the spec. Define roles, conflict matrices, and handoff workflows in agent.yaml. Link to the Github Repo in comments! — https://nitter.net/Sumanth_077/status/2038981420664959188#m
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