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

Medium Article: https://medium.com/@jsmith0475/how-neuroscience-inspired-ai-delivers-10x-roi-business-transformation-case-studies-c782890e9b04
The article, by Dr. Jerry A. Smith, explores how neuroscience-inspired AI is revolutionizing business, asserting that traditional AI often fails to deliver significant returns. It highlights how these advanced AI systems, by mimicking the human brain's memory, adaptive learning, and contextual reasoning, achieve 10x or greater return on investment (ROI) across various industries. Case studies from AstraZeneca, Google, and JPMorgan Chase illustrate these transformational results, demonstrating substantial improvements in drug discovery, productivity, and financial risk management. The text also discusses the technical foundations, emphasizing energy efficiency and the market opportunity for this rapidly growing technology, providing a roadmap for strategic implementation for organizations looking to leverage this next-generation AI.

Neuroscience-Inspired AI: Unlocking 10x Business Transformation

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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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

In episode 41 of Generationship, Brighthive CEO Suzanne El-Moursi joins Rachel Chalmers to unpack the “three-layer cake” of modern data architecture: composable stacks, agentic AI, and governance-first design. From integrating hundreds of data sources to enforcing real-time compliance, Suzanne shares how her team is tackling the grunt work of data so humans can focus on innovation. Plus, her vision for turning every organization—big or small—into a data powerhouse.

Generationship - Ep. #41, Covenant with Suzanne EL-Moursi

In episode 85 of o11ycast, Dr. Cat Hicks unpacks AI’s impact on software teams from a psychological and social-science perspective. Along with Ken, Jess, and Austin, she explores how AI magnifies long-standing tensions between solitary and collaborative models of development, and how fears about AI often reflect deeper issues like undervaluing collaboration or having unrealistic productivity expectations. The discussion also explores empathy, theory of mind, and pluralistic ignorance, highlighting why developers may prepare more for AI than for each other.

o11ycast - Ep. #85, AI/LLM in Software Teams: What’s Working and What’s Next with Dr. Cat Hicks

Managing large amounts of data can be challenging, especially when you also have to manage the storage system where the data lives. So to make life easier for storage administrators, NetApp offers a data ops toolkit that can offload some of the work associated with storage management. On this Tech ONTAP Podcast episode, we welcome the creator of the toolkit, Michael Oglesby, to talk about the latest updates and where best to use it.

Episode 404 - DataOps Toolkit

In episode 20 of Open Source Ready, Brian and John sit down with data engineering and cognitive science expert Vasilije Markovic to explore AI memory and how we can build more intelligent systems. From the challenges of "context rot" to the practical applications of AI memory in construction, education, and finance, this conversation covers how to give your AI the context it truly needs.

Open Source Ready - Ep. #20, Exploring AI Memory with Vasilije Markovic of Cognee

Medium: https://medium.com/@jsmith0475/we-found-something-strange-when-we-connected-two-ai-minds-f66ba37344af
"Alien Intelligence: Coupling AI Minds in High Dimensions" by Dr. Jerry A. Smith details Phase 0 of the Alien Science Observatory (ASO), a research initiative exploring higher-dimensional intelligence in coupled neural networks. The core idea is that AI models operate in vast, unintuitive high-dimensional spaces, and coupling these models can unlock novel forms of computation akin to quantum phenomena. The research presents a theoretical framework grounded in the geometry of high-dimensional spaces and an experimental platform using instrumented Transformers with shared LoRA coupling. Empirical results provide initial support for hypotheses related to interference patterns, representational entanglement, and explainability gaps, suggesting that emergent, "alien" intelligence can arise from these interactions, challenging traditional understandings of AI.

We Found Something Strange When We Connected Two AI Minds

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Towards AI Academy – From Beginner to Advanced LLM + AI Engineering Course Download

Medium Article: https://medium.com/@jsmith0475/flat-facts-curved-beliefs-a-geometric-hypothesis-for-transformer-cognition-5ad6f850ebd5
The article, by Dr. Jerry A. Smith, proposes a geometric hypothesis for transformer cognition, suggesting that beliefs might operate within a curved, hyperbolic mathematical space, unlike factual information which likely resides in a flatter, Euclidean space. This theory attempts to explain why opposing concepts, like "love" and "hate," appear artificially close in traditional, flattened visualizations of transformer's internal representations. The author suggests that different "attention heads" within transformers may specialize in different geometries, with some handling stable facts in Euclidean space and others managing nuanced beliefs in hyperbolic space, which naturally accommodates hierarchies and divergent ideas. The text outlines potential experiments to test this hypothesis, such as measuring geodesic distances between beliefs in a hyperbolic model and analyzing the "tree-like" quality of attention head graphs. Ultimately, this perspective implies that transformers have independently discovered the need for varied geometries to fully represent the complexity of meaning, moving beyond the limitations of simply increasing Euclidean dimensions to accurately model human-like understanding.

Flat Facts, Curved Beliefs: A Geometric Hypothesis for Transformer Cognition

Piers and Andrew chew the phat and agree we're in an AI bubble which could burst at any moment. POP! We ruminate on the future of work and which jobs are stayers in the new paradigm; how AI has shifted employment, not destroyed it. We get esoteric in the uncanny valley of deep fakes, artificial muzak and alien art. We discuss AI's integration into kids' education and the need for guardrails, especially given the tragic suicide of a US teen allegedly egged on by an AI chat bot. We reckon AI needs control and has definite limitations, but should be a force for good.

AI: Over-hyped & Over-feared

Broadcast every Tuesday at 11am AEDT on Radio Port Phillip 98.7 or 98.3 FM. It’s your weekly dose of science and technology.

Including features on cool gadgets, website reviews, the latest science and IT news, not to mention astronomy and space exploration.

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Special thanks to John Young, Paul Wattie, Steve Meyers, Brendon Telfer and the team at RPPfm.

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.

Each week, the Tech ONTAP Podcast dives into all-things NetApp, including storage, public & private cloud, and much more. The team will also be interviewing subject-matter experts from across the industry and detailing various best practices for getting the most out of your datacenter.

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