In episode 40 of Generationship, Salma Mayorquin of Remyx AI unpacks the shift from traditional MLOps to ExperimentOps—a framework for scaling insight in modern AI development. With stories from Netflix, Yelp, and Stripe, she explains how teams are bringing foundation models into production and what it takes to keep up. If you're grappling with LLMs, MLOps, or decision paralysis in GenAI, this one’s for you.

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Generationship - Ep. #40, ExperimentOps with Salma Mayorquin of Remyx AI

NOTE: It appears that the Trump administration decided to allow nVidia chips... even so, this is a very interesting discussion.

We discuss whether or not AI export controls work, but we take a really interesting twist because what we talk about is manufacturing. What we talk about is innovation, and it's not whether or not you can control AI chips, but what does it actually take to build innovative product? That's where we really have challenges on export and controls. There's military manufacturing and goods, and that's part of what this AI embargo is about. We really talk about how challenging it is to actually build truly innovative manufacturing and what the barriers are.

Transcript: https://otter.ai/u/k6Thp-TOfwKc_RjXHCnTd7tdepc?utm_source=copy_url



Do Export Controls work for AI?

Large Language Models_ An Introduction to Language AI

Medium Article: https://medium.com/@jsmith0475/antifragile-ai-when-regulatory-chaos-becomes-the-teacher-4ab80e554a29
The article, by Dr. Jerry A. Smith,  introduces the concept of antifragile AI, a paradigm shift for navigating complex and ever-changing regulatory landscapes, particularly within the pharmaceutical industry. It argues that traditional AI systems, designed for "perfect compliance," are brittle and prone to failure when faced with unpredictable regulatory changes, leading to significant financial losses and operational inefficiencies. Drawing inspiration from biological systems and neuroscience, the source proposes building AI that not only withstands stress but improves and strengthens with each new regulatory challenge, much like the human immune system or muscles. This approach emphasizes causal understanding, predictive adaptation, and continuous self-improvement, leading to a virtuous cycle of compounded intelligence that offers a significant competitive advantage and represents a substantial investment opportunity for private equity firms recognizing this undervalued capability.

Antifragile AI: When Regulatory Chaos Becomes the Teacher

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[Glocourse.com] Preston Rhodes - LLM Academy

中国のDeep Seek R1が発表されてから世の中が大騒ぎして、この1年で各社のDeep ResearchとCANVAS機能が発展しました。
資料作りのための調査、まとめはDeep Researchだけでかなり成り立ってしまいます。
だが、このDeep Researchも万能ではないし、間違ったことを提出することもしばしばあります。
すでに私はいくつもの間違いを発見しました。
なぜこの様にDeep Researchですら間違いを犯してしまうのか？
一説によると賢すぎるからだと。

Podcast jFuneral S6 234 20250729 AIエージェント活用

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Discord: Maris246

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Download Now - Preston Rhodes – LLM Academy

Medium Article: https://medium.com/@jsmith0475/why-your-ai-agent-cant-think-fast-enough-and-how-pca-fixes-it-aa4dc00bbbff
The article by Dr. Jerry A. Smith examines the critical role of Principal Component Analysis (PCA) in advancing agentic AI systems, which are designed for autonomous, goal-driven behavior. It highlights how PCA, a classical linear dimensionality reduction technique, efficiently tackles the "curse of dimensionality" by simplifying complex, high-dimensional data, thereby accelerating agent learning and enhancing computational efficiency. The author also discusses PCA's limitations, such as its linearity and sensitivity to outliers, introducing alternative non-linear techniques like Autoencoders and Manifold Learning for scenarios where complex data relationships prevail. Ultimately, it advocates for strategic, often hybrid, applications of these methods to enable robust and scalable real-world agentic AI deployments.

Why Your AI Agent Can’t Think Fast Enough (And How PCA Fixes It)

The article "Cognitive Enterprise: Brain-Inspired AI for Business Advantage," by Dr. Jerry A. Smith, argues for a paradigm shift in enterprise AI from traditional, siloed systems to brain-inspired AI agents powered by knowledge graphs. It explains that, unlike current AI that processes data like "sophisticated spreadsheets," this new approach enables machines to reason with interconnected information through networks of meaning, mimicking how the human brain functions. The author highlights the competitive imperative for businesses to adopt this "neurosymbolic" AI, which combines neural networks' pattern recognition with symbolic reasoning, offering advantages in speed, insight quality, scalability, and transparency. The text further outlines a four-stage roadmap for organizations to transition to a "cognitive enterprise," emphasizing the construction of knowledge graphs, modular agent development, intelligent scaling, and ultimately, enterprise-wide transformation for sustained competitive advantage.

Your Enterprise AI Has No Brain. Here's How to Give It One

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HR1 CONC: Judge Orders Withdrawn Due To Lawyer Using LLM In 2 Federal Court Cases; Porsha Williams Wins Money And Portion of House In Divorce; Les Sables d'Olonne Restricts Bathing Suits and Wearing A Top In Town

Heavybit is the leading early-stage investor in enterprise infrastructure. Since 2013, we've helped launch and scale visionary technical startups—from DevSecOps and feature flagging to AI code generation and beyond. We go hands-on from day 0, backing founders as they turn code into companies and build the future of software from the bottom up to the top down.

In-Depth Explorations of Neuroscience-Inspired Architectures Revolutionizing AI.

An excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud

Our hosts are average, ordinary people. Their only flaw is that they are exceptional attorneys and love what they do. Luckily, they take breaks from their day jobs and make time for Radio Law Talk so that the rest of the country can enjoy the law like they do.

元葬儀社の社長が贈る葬儀社に向けた葬儀・葬送ビジネスを中心としたマーケティング方法、一般の人へは終活、相続、遺言のことを「旅のデザイナー®」として「死に方改革®」の視点でお話をします。
現在、日本で唯一の葬儀・葬送ビジネスをメインにしたポッドキャスターです。
私が「元」葬儀社なのは、現在妻が葬儀社を営んでいて、実際、私はAIやITを利用した終活に従事しているからです。
Happy Ending! Reform of Death by planning ahead and being prepared.
Talking about death opens up everyone's life.

New tracks tagged #LLM