I'm always fascinated by new technology, especially AI. One of my biggest regrets is not taking AI electives during my undergraduate years. Now, with consumer-grade AI everywhere, I’m constantly discovering compelling use cases far beyond typical ChatGPT sessions.
As a tech founder for over 22 years, focused on niche markets, and the author of several books on web programming, Linux security, and performance, I’ve experienced the good, bad, and ugly of technology from Silicon Valley to Asia.
In this podcast, I share what excites me about the future of tech, from everyday automation to product and service development, helping to make life more efficient and productive.
Please give it a listen!
Microsoft Quantum outlines a roadmap toward fault-tolerant quantum computing using topological qubits called tetrons, focusing on Majorana zero modes. The roadmap details four generations of devices,…
For the first time in this podcast, Kabir joins the AI team to discuss Microsoft's Majorana 1, a topological quantum processor. Just like the fact that Majorana 1 is really a research demo and not a …
The episode examines the impact of AI chatbots on tech startups, highlighting prominent models like ChatGPT, Bard, Llama, Ernie, and Grok. It emphasizes that the optimal chatbot choice depends on a s…
The episode examines the impact of AI chatbots on tech startups, highlighting prominent models like ChatGPT, Bard, Llama, Ernie, and Grok. It emphasizes that the optimal chatbot choice depends on a s…
The provided article outlines key considerations for SaaS founders aiming to exit in 2025. It emphasizes a shift from prioritizing rapid revenue growth to valuing profitability, efficiency, and custo…
Recent research from OpenAI explores how large reasoning models (LRMs) can transform coding and software development, especially for resource-constrained tech startups. The study highlights advanceme…
Synthetic data is useful for AI training but has limitations. Over-reliance on it can lead to model collapse, bias amplification, and a failure to capture real-world complexities. This can erode trus…
The LIMO (Less Is More for Reasoning) research paper challenges the conventional wisdom that complex reasoning in large language models requires massive training datasets. The authors introduce the L…
This episode discusses the use of Behavioral AI to combat deep fakes. It explains that unlike traditional AI, Behavioral AI analyzes patterns and anomalies in human interactions to establish authenti…
This episode discusses OpenAI's "model specification" framework for tech startups to guide their operations and product development. It outlines key elements including defining a clear vision and cor…
MIT researchers have developed "Oreo," a new security method to protect computer hardware from microarchitectural side attacks. These attacks exploit hardware vulnerabilities to locate and access sen…
The Electronic Frontier Foundation (EFF), along with other privacy advocacy groups, filed a lawsuit against the U.S. Office of Personnel Management (OPM) and Elon Musk's "Department of Government Eff…
This episode discusses the future of education in 2040, focusing on how artificial intelligence (AI) will transform classrooms. It describes a personalized learning environment where AI empowers teac…
The episode discusses WebAssembly (WASM) as a transformative technology for tech startups. WASM offers significant advantages including enhanced portability across platforms, optimized performance ap…
Safe Superintelligence Inc. (SSI), a newly founded AI company, is dedicated to developing safe superintelligence. Co-founded by prominent AI figures, SSI has already secured significant funding and i…
The episode predicts a significant shift in internet usage by 2030, where autonomous AI agents will surpass humans as the primary online users. These AI agents, powered by large language models, will…
This episode details DSPy, a sophisticated AI framework for Retrieval Augmented Generation (RAG) applications developed by Stanford NLP. DSPy automates prompt optimization and reasoning, improving ac…
Dive into the transformative Asahi Linux project and discover how Apple Silicon (M1 and later) is opening new doors for Linux, BSD, and other operating systems. In this episode, we demystify the Appl…
In this episode, we dive into two powerful machine learning techniques for uncertainty quantification: Conformal Prediction (CP) and Bayesian Prediction (BP). CP ensures reliable confidence intervals…
The episode explores agentic AI, a type of AI that acts autonomously and makes decisions unlike traditional workflow AI, which follows pre-programmed instructions. It contrasts these two AI types, hi…