In episode 44 of Generationship, Rachel speaks with Felipe Huici, CEO and co-founder of Unikraft, about the powerful world of unikernels. Felipe breaks down how these lightweight, specialized VMs can achieve millisecond cold starts, enabling services to truly "scale to zero" without users noticing a delay. Learn how this efficiency is not just about saving money, but also about providing a secure and scalable foundation for the next wave of AI-generated applications.

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Generationship - Ep. #44, Why Unikernels Are Cool with Felipe Huici of Unikraft

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HR3 CONC: Kim Kardashian and Kris Jenner Sue Ray J; US Sues LA County Sheriff for 2nd Amendment Violations; VA AG Candidate Convicted; AI Safety Protocols Enhanced in CA

Medium Article: https://medium.com/@jsmith0475/chatgpt-is-too-smart-for-the-fda-until-now-8beb59745153
"ChatGPT Is Too Smart for the FDA — Until Now," by Dr. Jerry A. Smith, addresses the critical problem of non-reproducibility in large language models (LLMs), which prevents their adoption in highly regulated fields like pharmaceutical manufacturing. The author introduces cognitive anchoring, a novel gauge-theoretic framework that stabilizes transformer architectures by synchronizing their parallel attention heads using structured constraints derived from principles similar to those in Maxwell's equations. This method ensures that identical inputs yield consistent, deterministic outputs, achieving significant improvements in symbolic consistency and reducing complexity in analytical report generation. The work establishes a necessary foundation for trustworthy AI compliant with FDA data integrity standards (ALCOA+ and 21 CFR Part 11) by demonstrating that LLMs can be constrained to meet mandatory reproducibility requirements.

ChatGPT Is Too Smart for the FDA — Until Now

Medium Article: https://medium.com/@jsmith0475/chatgpt-cant-write-fda-compliant-reports-here-s-what-can-e2154b82c537
"Auditable AI for FDA-Compliant Reports: Cognitive Anchoring,"by Dr. Jerry A. Smith, argues that traditional AI models like ChatGPT cannot meet the Food and Drug Administration's (FDA) requirements for reproducible and predictable documentation in pharmaceutical quality assurance (QA). Dr. Jerry A. Smith identifies the current system of manual report generation as a significant bottleneck in the industry, costing vast amounts of time and money due to bureaucratic overhead. The author proposes a solution called cognitive anchoring, which uses a multi-agent AI system constrained by four mathematical rules (symbolic, temporal, spatial, and symmetry anchoring) to ensure compliance and consistency. This system is auditable because it measures whether outputs rely on Euclidean reasoning (factual retrieval) or hyperbolic reasoning (logical inference), providing a geometric breakdown that satisfies regulatory demands. Ultimately, the piece posits that deploying this production-ready technology is a strategic necessity for Contract Research Organizations (CROs) to achieve massive cost savings, increase report throughput by thousands of times, and lead the future of pharmaceutical QA.

ChatGPT Can’t Write FDA-Compliant Reports. Here’s What Can.

Lovable und Shopify haben eine spannende neue Kooperation vorgestellt: Ab sofort lassen sich komplette Shopify Themes einfach per Prompt in Lovable erstellen! 🧠💻

Wir haben das Feature getestet und zeigen in dieser Folge, wie das funktioniert, wo die Stärken liegen und wo aktuell noch Grenzen bestehen. Denn: Für einfache Shops ist es bereits beeindruckend, aber für ambitioniertere Mittelstands- oder Enterprise-Projekte fehlt noch einiges. Trotzdem: Ein starker erster Schritt in Richtung KI-gestütztes Shop-Design.

🗞️ News der Woche:
	
•	ChatGPT veröffentlicht den Atlas Browser – und der hat es in sich! Wir demonstrieren live, wie ChatGPT im Atlas Browser Käufer beraten, Produkte bei Zalando empfehlen und sogar Onlineshops analysieren kann. Ein Must-See für alle, die verstehen wollen, wie LLMs den eigenen Shop wahrnehmen.

•	Adobe LLM Optimizer Plugin für Chrome zeigt, was LLMs wirklich auf deiner Seite lesen können – und was nicht. Für viele Shops heißt das jetzt: Hausaufgaben machen!
	
•	Google führt Preishistorien in Google Shopping ein – volle Preistransparenz für User, neue Herausforderungen für Händler.

•	PayPal übernimmt 41 % der Anteile an Shopware von der Carlyle Group – ein strategischer Move mit großem Signalwert.

•	AWS-Ausfall legt große Teile des E-Commerce lahm – wir sprechen über die massiven Auswirkungen und die Lehren daraus.

🎧 Jetzt reinhören und verstehen, wie KI-gestütztes Theme-Design, Browser-LLMs und Preistransparenz den Commerce verändern – überall, wo es Podcasts gibt!

📲 Abonniert den Podcast, folgt uns auf LinkedIn und teilt euer Feedback.

Daniel: www.linkedin.com/in/daniel-hoehnke/
Tim: www.linkedin.com/in/tim-schestag/

#172 Lovable kann jetzt Shopify Themes prompten + die NdW

HR3 CONC: Appeals Court To Review NJ Ban on AR-15; Cody Balmer Pleads Guilty; Law School Applications Up 33%; Lawyer Fined $5,000 For AI Mistakes in AL

Medium Article: https://medium.com/@jsmith0475/how-ai-just-cracked-pharmaceutical-method-development-in-6-weeks-instead-of-12-months-492efc9a23a2
This article from an article by Dr. Jerry A. Smith that introduces a novel solution for achieving deterministic AI outputs essential for drug development regulation. It explains that pharmaceutical method development, a process currently taking up to twelve months, is stalled by the FDA's requirement for identical, reproducible results from AI, which probabilistic Large Language Models (LLMs) cannot naturally provide. The core breakthrough involves applying a 160-year-old mathematical concept, Maxwell's electromagnetic gauge theory, to constrain the internal workings of transformer models. By implementing a framework called cognitive anchoring with four mechanisms—symbolic, temporal, spatial, and symmetry anchoring—the research successfully channels the model’s internal representational freedom without compromising its semantic reasoning, achieving a high degree of functional determinism and potentially reducing method development time significantly. This innovation promises to unlock massive efficiency gains, reduce drug development costs, and accelerate patient access to therapies by making AI outputs acceptable for GMP (Good Manufacturing Practices) compliance.

How AI Just Cracked Pharmaceutical Method Development - In 6 Weeks Instead of 12 Months

Medium: https://medium.com/@jsmith0475/how-ai-learned-to-write-perfect-pharmaceutical-protocols-4487ba139f72
"How AI Learned to Write Perfect Pharmaceutical Protocols," by Dr. Jerry A. Smith, presents a research paper detailing a novel Artificial Intelligence (AI) architecture designed to generate analytical protocols for pharmaceutical testing that comply with Good Manufacturing Practice (GMP) regulations. This system addresses the slow, expensive process of human-led method development by using a multi-agent generation approach, creating five protocol variants at varying levels of creativity, which are then evaluated and selected through a triadic judge system and a four-round tournament elimination. Critical to its success is a cognitive anchoring framework that constrains the Large Language Model (LLM) to regulatory-compliant outputs, preventing the common problem of AI "hallucinations." The authors demonstrate that the AI-generated protocols achieved a +2.1% quality improvement over deterministic methods and maintained 93.54% similarity to GMP compliance while drastically cutting time and cost.

How AI Learned to Write Perfect Pharmaceutical Protocols

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Timestamps: 
0:00 – ALL INTRO & Posta Redactiei
11:48 – Paul și Edgar s-au jucat PEAK
25:19 – Ubisoft concediază eufemistic; Krafton merge cu LLM înainte; EA obligă angajații să folosească LLM și scoate oameni din credits de la Battlefield 6;
52:48 – Strauss Zelnick nu apreciază LLM-urile; Microsoft pune studiourile să se bată între ele; Phill Spencer nu știe să-și apere angajații; XBOX zice că exclusivele sunt arhaice; PS Plus îți șterege jocurile primite gratis pe serviciul precedent; No Man's Sky adaugă ȘI MAI MULTE CHESTII, Starfield plânge;
1:09:56 – Scarface The World is Yours apare pe Steam în circumstanțe dubioase; A picat în cap economia de cuțite în Counter Strike 2; Gamingul s-a terminat AI face jocuri BUNE BUNE 2;

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#417 JOCURI BUNE BUNE 2

In this deep dive episode, we cover Google Business Profile optimization including critical fields that AI models prioritize, photo strategies that increase citation chances, review management that builds AI trust, and post frequency and content types that work. We explore E-E-A-T signals for local businesses, focusing on proving your experience through actual work, demonstrating deep local knowledge to establish expertise, building local authority signals, and creating review profiles that AI models trust. Learn strategies for winning the Map Pack through NAP consistency across the web, local citation building, category selection that matters, and service area optimization. We also dive into LLM-specific tactics including how ChatGPT decides which local business to cite, why Claude prefers certain review patterns, schema markup that AI models understand, and local content strategies that get you mentioned. Perfect for local businesses, service providers, franchises, and anyone with a physical location or service area.

Episode 01 - Dominating Local AI Search: The Deep Dive on GBP, E-E-A-T, and Winning the Map Pack in the LLM Era

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.

Learn AI SEO while you drive, work, or build your business. Tired of reading endless articles? Get actionable strategies to show up in ChatGPT, Claude, and AI search results—delivered in bite-sized episodes perfect for busy small business owners. Each week, we break down exactly how to optimize your local presence, build authority signals, and get your brand cited by AI models. No fluff, no jargon—just practical tactics you can implement immediately. Perfect for: Local businesses, service providers, eCommerce brands, and any small business owner who wants to dominate AI search.

Joc si Vorbe, filiala All Vorbe. Cel mai insistent podcast de gaming din România

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.

Der E-Commerce Dudes Podcast ist dein wöchentlicher Begleiter in die Welt des Online-Handels. Moderiert von Daniel Höhnke und Tim Schestag, bietet der Podcast seit 2018 spannende Einblicke in aktuelle Trends und Entwicklungen im E-Commerce. Von praxisnahen Tipps für Unternehmer über tiefgehende Analysen bis hin zu innovativen Ideen - hier erfährst du alles, was du wissen musst, um im digitalen Handel erfolgreich zu sein. Egal, ob du gerade erst startest oder bereits ein etablierter Händler bist, die E-Commerce Dudes liefern wertvolle Inhalte und inspirierende Gespräche, die dich weiterbringen. Hör rein und entdecke, wie du deinen E-Commerce auf das nächste Level bringen kannst!

New tracks tagged #LLM