near death

In episode 9 of Platform Builders, Christine and Isaac sit down with Manny Medina, founder and CEO of Paid, to unpack the tectonic shift happening in software. From the rise of AI agents that autonomously perform tasks, to the death of seat-based pricing, and why ARR and SaaS metrics just don’t make sense anymore—Manny makes a compelling case that we’re entering a new era. If you're building, investing in, or working with AI-native companies, this is essential listening.

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Platform Builders - Ep. #9, Manny Medina Explains: What the F Is an AI Agent?

Medium Article: https://medium.com/@jsmith0475/unlocking-unprecedented-power-why-grep-is-your-llms-secret-weapon-eb6664cd734b
The provided text advocates for combining the Unix command-line utility grep with Large Language Models (LLMs) to significantly enhance text analysis workflows. It highlights that while LLMs offer robust semantic understanding and generative capabilities, they can be costly, slow, and prone to "hallucinations." Conversely, grep is presented as a deterministic, memory-lean, and high-speed tool for pattern matching and data filtering. The author argues that using grep to pre-filter and validate data before and after LLM processing leads to substantial improvements in cost-effectiveness, speed, and accuracy, effectively turning a fifty-year-old tool into a crucial "secret weapon" for modern AI applications. Practical examples and common pitfalls illustrate how this "grep-first" pipeline streamlines operations and improves output quality.

Grep and LLMs: A Powerful Text Analysis Alliance

In episode 17 of Open Source Ready, Brian and John speak with Docker founder Solomon Hykes about his latest project, Dagger, and its mission to fix the pain points of modern CI/CD. Solomon explains why DevOps is due for a systems-level rethink and how AI agents are changing the way software gets built and shipped.

Open Source Ready - Ep. #17, AI Native Software Factories with Solomon Hykes

Medium Article: https://medium.com/@jsmith0475/when-brain-cells-learned-to-code-e9e47151fbdf
The provided text introduces Organoid Intelligence (OI), a novel computing paradigm that utilizes living neural networks grown from stem cells on silicon chips. It argues that OI offers a solution to the energy and plasticity limitations of current AI systems, which rely on GPU-based architectures and neuromorphic processors. The source highlights OI's advantages, including significantly lower energy consumption and native continuous learning capabilities, as demonstrated by neurons learning to play Pong efficiently. Furthermore, it explores the current state-of-the-art platforms and the strategic investment opportunities in this nascent field, while also addressing the profound ethical and regulatory challenges that arise from using biological computing.

When Brain Cells Learned to Code

In episode 39 of Generationship, Rachel speaks with Simon Willison, founder of Datasette and co-creator of Django. Simon discusses the surprising resurgence of blogging, his coining of the term “prompt injection,” the power of learning in public, and how he uses GitHub issues as an external brain to manage hundreds of projects. This quick-witted and humorous conversation offers a pragmatic look at leveraging today's tools for maximum productivity and impact.

Generationship - Ep. #39, Simon Willison: I Coined Prompt Injection

**Christopher W. White's "The AI Music Problem"** explores the complex relationship between machine learning and musical creativity, arguing that despite advancements, AI faces fundamental challenges in generating music comparable to human artistry. The book highlights **five key factors** affecting musical AI development: **motivations and potential payoffs**, **data availability**, **data representation**, **musical structure detection**, and **human interpretation**. White suggests that **limited resources**, **data scarcity** due to music's repetitive nature and specialized creation, and the **inherent complexity of musical elements** like harmony and rhythm pose significant hurdles for AI. Ultimately, the book posits that while AI can create impressive "craftwork," it cannot achieve true "art" because it lacks the **experiential knowledge and intentionality** that define human creativity and are crucial for an audience's emotional connection and interpretation of music.

The AI Music Problem | Global Bills, Laws, Fingerprint Technology (Audiobook Summary)

Medium Article: https://medium.com/@jsmith0475/beyond-intelligence-why-large-language-models-may-signal-the-rise-of-anti-intelligence-eb9f7a62dd62
"Anti-Intelligence: Why LLMs Undermine Human Understanding" by Dr. Jerry A. Smith, explores the concept of large language models (LLMs) as "anti-intelligence" systems. It argues that while LLMs produce convincing and fluent outputs, they lack true understanding or grounded comprehension, operating instead on statistical prediction of text patterns. The author highlights empirical evidence suggesting that relying on LLMs can reduce human critical thinking and lead to acceptance of inaccuracies, despite the models' sophisticated performance. The article proposes the need for "cognitive integrity" approaches and human oversight to mitigate these risks and preserve genuine understanding in an age of synthetic fluency.

Anti-Intelligence: LLMs Undermine Human Understanding

El podcast explora un concepto nuevo llamado "comprensión Potemkin" en los grandes modelos de lenguaje (LLM), que describe una aparente comprensión que no es real. Esto ocurre cuando los LLM responden correctamente a preguntas de evaluación, pero no logran aplicar los conceptos en tareas prácticas, lo que sugiere que su patrón de "malentendimiento" difiere fundamentalmente del humano. Los autores proponen y prueban un nuevo sistema de evaluación para detectar esta falta de coherencia interna, revelando altas tasas de "Potemkin" en varios LLM populares. El texto subraya la necesidad de nuevos métodos de evaluación y entrenamiento para desarrollar una comprensión más profunda y confiable en los LLM.

"Tecnifica tu oficio, reinventa soluciones digitales".

Modelos de Lenguaje: Comprensión Potemkin y Coherencia

Medium Article: https://medium.com/@jsmith0475/architecting-autonomy-the-neuroscience-behind-agentic-ai-systems-29aab6d5d131
The article explores how neuroscience discoveries are fundamentally reshaping the development of autonomous artificial intelligence. It highlights the extraordinary efficiency of the human brain compared to traditional AI, advocating for brain-inspired computing to overcome current limitations. The author explains how specific brain regions, like the hippocampus, prefrontal cortex, and amygdala, offer blueprints for advanced AI systems capable of compositional memory, adaptive control, and intelligent safety. Furthermore, the text emphasizes the role of neuromorphic hardware in achieving unprecedented energy efficiency and details a four-layer architectural framework for future AI that integrates these biological principles. This convergence aims to create truly agentic AI, moving beyond mere automation toward systems with genuine autonomy, creativity, and consciousness-like awareness.

Architecting Autonomy: The Neuroscience Behind Agentic AI Systems

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.

Mi nombre es Luis Bolívar, soy analista Media Buyer y divulgador de Inteligencia Artificial, titular de "La Cueva del Lobo", una marca de espacio creativo para soluciones digitales, encargada de comprar atención con tácticas en PPC y NoCode Marketing.

I genuinely believe in the potential of music to facilitate personal growth, foster meaningful connections, and cultivate shared experiences. My mission centers on producing dynamic musical works, both in the booth and studio, as an effective medium for storytelling, spiritual exploration, and the creation of deep emotional bonds.


+ Life Long Musical Professional & Enthusiast | Creative Entrepreneur | Music Producer | Club DJ | Event Production, Management, and Design Specialist | Electrician | Graphic Designer | Barber & Comedian 
+ Academic Background Master of Arts in Arts and Media, Audio Production, Media Management, Psychology, Mathematics, Sciences, and Business.   

**UNIFI MUSIC LLC**
NYC-Based Record Label, Music Production & Artist Management
At UNIFI MUSIC LLC, we aim to cultivate a creative and collaborative ecosystem for emerging musicians, artists, and producers. We are dedicated to educating up-and-coming artists to help them reach their highest potential while providing them the means to release music on all essential platforms. Our goal is to create an inspiring and lasting impact on the music industry. Music, dance, and storytelling are fundamental parts of the human experience. Art inspires, helps us find purpose, and fosters meaningful, lifelong connections..

Website - https://bio.site/anelo
Label - https://UnifiMusicRecords.com
Email - Promo@UnifiMusic.info

New tracks tagged #LLM