AI Dynamics

Global AI News Aggregator

EDUCATION

  • LangChain Organizes 11 Meetups and Hackathons Worldwide

    We've got 11 in-person LangChain meetups and hackathons scheduled! Find your city and join! San Francisco Meetup | Thursday, March 19 with
    @LangChain Shenzhen Meetup | Saturday, March 21 with Ambassador
    @zhanghaili0610 Stockholm Hackathon | Sunday, March 22 with

    → View original post on X — @langchain,

  • AI Engineer London Meetup Tickets Almost Sold Out

    tix were given to aie london meetup organizers!! its almost sold out, we have 72 left as of yesterday, https://
    ai.engineer/europe has the rest

    → View original post on X — @swyx,

  • Starting AGI-Focused Track at AI Engineer World’s Fair

    i think this is enough motivation for me to start a "how to be more AGI pilled" track at https://
    ai.engineer/worldsfair . usually we're more narrow/specific/practical, but i think this is an important enough recurring theme that people should just generally be practicing.

    → View original post on X — @swyx,

  • OpenLeaf Clarifications: Discovery Tool, Not Citation Button

    wanted to make a few clarifications on openleaf as there’s lot of love from people (thanks❤️!) but also some misunderstanding: 1. "this encourages blind citation" — openleaf links every suggested paper for a reason. you're supposed to read it before citing (the paper link is right there). it's a discovery tool, and most def not a "cite for me" button. also, its ranking is purely content-based — no citation count, no popularity metrics — specifically to avoid unfair concentration of citations to a select few papers/institutions. 2. "if you do your lit search after writing a paragraph, you're doing it wrong" — agree! but the demo showed a simplified flow. the real use case: you've read 20 papers, but there are 1000s published monthly. you will miss relevant ones. openleaf helps you find them. already working on improvements to make it even better: – reading your existing .bib so it's aware of what you already cite – analyzing full paper text, not just abstracts – better reasoning track progress, suggest features, or pick up an issue! github.com/Demfier/openleaf/… Gaurav Sahu (@dem_fier) ever been here? open overleaf → write a paragraph → "hmm…this needs a citation" → open 15 different tabs → skim 8 abstracts → find the 1 actually relevant paper → format bibtex → paste it back on overleaf if so, i built a plugin just for you. meet openleaf: → reads your paper paragraph by paragraph → searches major academic databases → filters out irrelevant papers using ai → one click to add BibTeX to your .bib you'll also find the 🤝 friendly and 🔥 fire reviewers there. i don't think i need to tell you what they do 🙂 free. open source. no account. no data collection. works with ollama, openrouter, openai api and more. github.com/demfier/openleaf dear algorithm, please show this to my fellow researchers in need 🙏 #overleaf #latex #opensource #academictwitter — https://nitter.net/dem_fier/status/2033002945973752297#m

    → View original post on X — @hugo_larochelle, 2026-03-16 15:07 UTC

  • Developing AGI-Awareness as a Learnable Skill

    > 2) Being AGI-pilled is a skill & you can get better at it can you give more detail/thoughts now?

    → View original post on X — @swyx,

  • New LangChain Academy Course Building Reliable Production Agents

    New LangChain Academy Course: Building Reliable Agents Shipping agents to production is hard. Traditional software is deterministic – when something breaks, you check the logs and fix the code. But agents rely on non-deterministic models. Add multi-step reasoning, tool

    → View original post on X — @langchain,

  • Coding games with kids: Low-friction creative collaboration and fun
    Coding games with kids: Low-friction creative collaboration and fun

    Codexing games together with my 12 yo has been a surprisingly fun dad-son activity over the past couple months as well I don’t pretend he’s really learning to code through that but the very low friction from ideas to implementation and the pure pleasure to invent/propose-anything/mix-and-match-games-ideas/collaboratively-create-something-fun is deeply enjoyable Somewhere between LEGOs and exquisite corpse Sebastien Bubeck (@SebastienBubeck) My 9 yo is now fully independent with codex and it's insane to watch, we built a few games together and then he went off to build his own tower defense, adding features by himself and testing them … crazy — https://nitter.net/SebastienBubeck/status/2032940846962847980#m

    → View original post on X — @thom_wolf, 2026-03-15 17:16 UTC

  • Energy Transition Demands 40% More Skilled Workers by 2030

    The global energy transition won’t scale without people. Newly qualified energy workers aren’t keeping pace with demand, and without a ~40% increase in trained entrants by 2030, the skills gap will widen fast. This is where #AI, digital skills, and reskilling become critical

    → View original post on X — @haroldsinnott,

  • OpenLeaf: AI-powered citation plugin for Overleaf researchers

    ever been here? open overleaf → write a paragraph → "hmm…this needs a citation" → open 15 different tabs → skim 8 abstracts → find the 1 actually relevant paper → format bibtex → paste it back on overleaf if so, i built a plugin just for you. meet openleaf: → reads your paper paragraph by paragraph → searches major academic databases → filters out irrelevant papers using ai → one click to add BibTeX to your .bib you'll also find the 🤝 friendly and 🔥 fire reviewers there. i don't think i need to tell you what they do 🙂 free. open source. no account. no data collection. works with ollama, openrouter, openai api and more. github.com/demfier/openleaf dear algorithm, please show this to my fellow researchers in need 🙏 #overleaf #latex #opensource #academictwitter

    → View original post on X — @hugo_larochelle, 2026-03-15 02:10 UTC

  • Top Data Roles in 2026 and Essential Core Skills

    Top data roles in 2026 • Data Analyst
    • Data Scientist
    • ML Engineer
    • AI/GenAI Engineer
    • Data Engineer
    • Data Architect
    • BI Analyst Core stack:
    Python + SQL + ML + Cloud + BI + Soft skills. Hybrid profiles win. #DataScience #AI #Careers #MachineLearning

    → View original post on X — @ingliguori,