AI Dynamics

Global AI News Aggregator

About

@ceobillionaire

  • PhD Defense on Reasoning Machines and Next Professional Chapter
    PhD Defense on Reasoning Machines and Next Professional Chapter

    By

    @ceobillionaire

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    In 2023, I paused my PhD to join @OpenAI to build the world’s first reasoning machine — OpenAI o1. Earlier this year, I defended my PhD thesis “Building a Reasoning Machine” advised by @Yoshua_Bengio at @Mila_Quebec 🎓 🎉 Much has changed since Yoshua and I first discussed reasoning in 2022, but the main themes aged well: – Adding structures to computation unlocks strong reasoning capabilities; – Data & sample efficiency will become the bottleneck to useful intelligence; – Retaining Bayesian uncertainty is key to reliable and safe AI systems. You can read the introduction of my thesis here: edwardjhu.com/thesis/ My next professional chapter (TBA) will be on bridging frontier intelligence with real economic impact, a theme dear to my heart after working closely with @drwconvexity and @suna_said in the last year 🚀

    → View original post on X — @ceobillionaire, 2026-04-10 15:08 UTC

  • OpenAI’s AI Reaching Research Intern Level by September 2026

    By

    @ceobillionaire

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    OpenAI's Chief Scientist says AI is getting close to being as good as a human research intern. This past September, @sama and @merettm predicted fully autonomous AI researchers by 2028. Jakub's update: "I think we're not very far from models that can work autonomously for a couple days… and produce much higher quality artifacts on their own." Jacob Effron (@jacobeffron) At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: piped.video/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire — https://nitter.net/jacobeffron/status/2042234897134162077#m

    → View original post on X — @ceobillionaire, 2026-04-10 14:10 UTC

  • Exponential quantum advantage for processing massive classical data
    Exponential quantum advantage for processing massive classical data

    By

    @ceobillionaire

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    Exponential quantum advantage in processing massive classical data Zhao et al.: arxiv.org/abs/2604.07639 #ArtificialIntelligence [Translated from EN to English]

    → View original post on X — @ceobillionaire, 2026-04-10 14:09 UTC

  • Neural Computers – New arxiv Research with Video Demonstration

    By

    @ceobillionaire

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    Neural Computers arxiv.org/abs/2604.06425 [Translated from EN to English]

    → View original post on X — @ceobillionaire, 2026-04-10 13:50 UTC

  • Hermes Agent Open Source Framework Ecosystem Mapped and Documented
    Hermes Agent Open Source Framework Ecosystem Mapped and Documented

    By

    @ceobillionaire

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    Hermes Agent is one of the most powerful open source AI agent frameworks and nobody knows how to use it. Someone just mapped the entire ecosystem. 80+ tools, skills, plugins, and integrations documented in one place. 568 GitHub stars in 48 hours. Zero to fully autonomous agent in an afternoon.

    → View original post on X — @ceobillionaire, 2026-04-10 13:45 UTC

  • Mythos AI Exposes Financial System Backdoors, Triggers Government Response
    Mythos AI Exposes Financial System Backdoors, Triggers Government Response

    By

    @ceobillionaire

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    🔮 In 2026 an AI called Mythos by an old company, Anthropic, exposed “secret back doors” in the entire financial system, that was never supposed to be disclosed. It was such a shock that you could not talk about it. When quantum computers broke encryption it was disclosed to all. 0xMarioNawfal (@RoundtableSpace) BESSENT & POWELL SUMMON WALL STREET ON MYTHOS RISKS – Treasury Secretary Bessent and Fed Chair Powell urgently called top Wall Street leaders – Meeting focused on extreme cyber risks from Anthropic’s new Mythos AI model – Model excels at finding/exploiting software vulnerabilities; safety pauses in place This is a first. — https://nitter.net/RoundtableSpace/status/2042418537449595116#m

    → View original post on X — @ceobillionaire, 2026-04-10 13:03 UTC

  • Demis Hassabis and Sundar Pichai Praise Elon Musk’s Innovations

    By

    @ceobillionaire

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    DeepMind's Demis Hassabis: Elon is doing amazing things with SpaceX "I think there will be a solution to the energy problem. So free, pretty much free, renewable, clean energy one way or another, fusion or better solar. And then that will unlock us to really travel the stars. Because the main cost, Elon does amazing work with SpaceX and those things, but the main cost is still the rocket fuel, right? The energy cost. So if that's sort of zero somehow, because we can just make infinite rocket fuel out of seawater once we've cracked fusion." Source: @muskonomy — Sundar Pichai had high praise for Elon after spending time with him: "Look, I spent time with Elon maybe two weeks ago. When I talked to him, his ability to will future technologies into existence is just unparalleled." [Translated from EN to English]

    → View original post on X — @ceobillionaire, 2026-04-10 04:15 UTC

  • Bessent Gathers US Bank CEOs on Risk Concerns

    By

    @ceobillionaire

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    Bessent called in US bank CEOs to discuss Anthropic model's cyber risks ft.trib.al/Oo60RlR [Translated from EN to English]

    → View original post on X — @ceobillionaire, 2026-04-10 02:26 UTC

  • AI Cracks Animal Communication Code: Future is Here

    By

    @ceobillionaire

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    PEOPLE ARE USING AI TO CRACK THE CODE OF ANIMAL COMMUNICATION WELCOME TO THE FUTURE

    → View original post on X — @ceobillionaire, 2026-04-09 23:45 UTC

  • OpenAI’s Path to Automated AI Researcher by 2028

    By

    @ceobillionaire

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    Compute powers every layer of AI, and the investments we’ve made mean we can run more promising research experiments, train more capable models, and support broader access. @merettm talks about our progress building an automated AI researcher and what’s ahead as AI can take on harder and harder problems. Jacob Effron (@jacobeffron) At @OpenAI, Chief Scientist @merettm helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: piped.video/vK1qEF3a3WM Spotify: bit.ly/4sjUyrN Apple: bit.ly/41jAdrN 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire — https://nitter.net/jacobeffron/status/2042234897134162077#m

    → View original post on X — @ceobillionaire, 2026-04-09 23:39 UTC