ChatGPT and Beyond with Fexingo: Large Language Models, Generative AI, and Productivity Tools

Lucas and Luna explore how AI model inference costs are rapidly becoming a commodity, with prices dropping over 90% in two years. They discuss the impact on companies like NVIDIA and Broadcom, using current market data from June 3, 2026 — Broadcom up 13.8% in five days, Oracle up 13.7%, and ARM surging 22.7%. The hosts tie this to Alphabet's record $85 billion AI raise and what it means for enterp...

Episode 28 of ChatGPT and Beyond with Fexingo examines the mounting pressure on cloud margins as AI workloads force hyperscalers to rethink infrastructure economics. Lucas and Luna unpack the profit squeeze: AWS and Azure are spending heavily on NVIDIA's H200 and Blackwell GPUs, data center power, and a new generation of high-memory compute instances, all while enterprise customers push back on ri...

Episode 27 of ChatGPT and Beyond with Fexingo dives into the current rally in AI enterprise software stocks, which have surged dramatically over the past week. Lucas and Luna explore the factors driving the gains—from falling inference costs to enterprise adoption—and what numbers like Snowflake's 50% jump and ServiceNow's 25% rise tell us about the shift from AI hype to real deployment. They also...

Lucas and Luna break down the stunning rally in enterprise software stocks in late May and early June 2026, with ServiceNow up 36 percent in five days and Snowflake up 58 percent. They explore what's driving the surge: a shift from AI infrastructure spending to actual software deployment, strong earnings beats, and rising demand for AI agents that automate business workflows. Lucas explains why Pa...

Lucas and Luna explore the surprising trend of rapidly declining AI inference costs, using live data from June 2026 to show how companies like Snowflake and ServiceNow are benefiting. They discuss why this challenges the prevailing 'AI will be expensive' narrative and what it means for startups and enterprise adoption. #AI #InferenceCosts #LargeLanguageModels #GenerativeAI #Snowflake #ServiceNow #...

Lucas and Luna unpack an overlooked structural shift in the AI economy: the way model training is starting to mimic the capital-intensive, cyclical dynamics of the oil industry. Using the recent 48 percent surge in Snowflake stock as a hook, they explore how data scarcity, compute hoarding, and inference costs are creating a new class of 'AI reserves.' With NVIDIA dipping and AMD soaring, they ask...

Lucas and Luna dig into the latest data on AI inference costs — which are falling even faster than training costs. They explore how the shift from training to inference is reshaping the economics of AI deployment, from startups to hyperscalers. With real numbers from Snowflake, ServiceNow, and AMD's recent surge, they explain why inference is becoming the new battleground for cloud providers and c...

Lucas and Luna unpack the surprising economics of AI inference — why running models is getting dramatically cheaper while training costs stay high. With Snowflake up 48% in a week and ServiceNow up 22%, the hosts connect the dots between infrastructure demand and stock moves. They explore how model distillation, hardware specialization, and cloud competition are driving inference costs down 90% ye...

GitHub Copilot just switched to token-based billing and developers are furious. Lucas and Luna break down exactly what changed, why tokens are such a different pricing model from the old flat fee, and what it reveals about the economics of AI coding tools. They also look at how rival tools like Amazon CodeWhisperer and Cursor are positioning themselves in this moment. Plus: a $50 million monthly b...

Lucas and Luna explore the surprising economics behind fine-tuning large language models, using live market data to show how companies like Palantir, Snowflake, and ServiceNow are betting on custom models. They discuss the cost of fine-tuning vs. building from scratch, the rise of parameter-efficient methods, and what this means for enterprise AI adoption. Based on May 30, 2026 market moves, they...

Lucas and Luna dig into the latest breakthrough in artificial intelligence: chain-of-thought reasoning and planning capabilities in large language models. They explore how models like OpenAI's o3 and DeepSeek-R1 are moving beyond pattern matching to deliberate problem-solving, using real examples from math competitions and coding challenges. The hosts discuss the implications for enterprise softwa...

Lucas and Luna explore how AI is driving a fundamental shift in web architecture: more and more web content is being designed for machine consumption, not human eyeballs. They discuss Google's structured data boom, the rise of API-first content platforms, and how this transformation affects SEO, web development, and user experience. With data showing Snowflake up 44.5% in a week and a TechCrunch h...

Lucas and Luna explore how AI agents are evolving from simple chatbots to autonomous workflow managers. They discuss Salesforce's Agentforce, Microsoft's Copilot expansions, and the economic shift toward outcome-based pricing. The hosts also analyze how Snowflake's recent 44.9 percent surge ties into the growing demand for data infrastructure that powers these agents. Along the way, they touch on...

In this episode of ChatGPT and Beyond with Fexingo, Lucas and Luna explore why large language models like GPT-4o and Google's Gemini struggle with basic spelling—even as they ace complex coding tasks. They unpack a recent viral headline about AI's inability to spell 'Google' and trace it to the fundamental architecture of tokenization. The conversation touches on Google's tokenizer, the Byte-Pair...

Lucas and Luna break down OpenAI's reported move into web search — and what it means for Google, Bing, and the entire search advertising model. They discuss why OpenAI has the data advantage (chat histories vs. click logs), how Microsoft is suddenly caught in the middle, and what the market data says about who investors think will win. Plus: a brief look at why Palantir and Snowflake are surging w...

In this episode of ChatGPT and Beyond with Fexingo, Lucas and Luna explore why DuckDuckGo installs jumped 30% as users push back against being 'force-fed' Google's AI Search. They break down what's driving the exodus, how AI search summaries are changing user trust, and what this means for the broader search and advertising ecosystem. With Microsoft's Bing also seeing gains and startups like Perpl...

In this episode of ChatGPT and Beyond with Fexingo, Lucas and Luna examine the remarkable divergence between AMD and NVIDIA in the AI chip market. With AMD up 22% in a week while NVIDIA has dropped 3%, they explore what's driving the shift: an upcoming AMD MI400 accelerator launch, data from the recent Open Compute Project summit, and comments from a Gartner analyst. Lucas digs into the economics...

Lucas and Luna explore how generative AI is transforming software development, focusing on GitHub Copilot's latest iteration and a striking statistic: developers using AI-assisted coding tools report up to 55% faster task completion. They unpack a new study from Microsoft Research showing that Copilot-generated code now passes automated tests at a 78% rate, up from 52% just a year ago. The convers...

Lucas and Luna break down why legacy office suites are getting dismantled by AI-native tools. They examine how ClickUp's recent layoffs signal a shift toward leaner, AI-first workflows, and look at ServiceNow's stock dip as a bellwether for enterprise software disruption. Using real market data from May 25, 2026, they explain why incumbents like Microsoft and Adobe face pressure from modular AI ag...

In this episode of ChatGPT and Beyond with Fexingo, Lucas and Luna examine the remarkable 15.3% weekly surge in Super Micro Computer (SMCI) stock as of May 25, 2026. They explore how SMCI is capitalizing on the shift from large-scale AI training to edge inference, powering everything from factory floors to retail kiosks. With rivals like AMD up 11.1% and ARM up 42.5%, the hosts discuss why the mar...

Episode 9 of ChatGPT and Beyond with Fexingo examines the growing energy demands of large language models and generative AI, with a specific focus on how data center expansion is reshaping electricity markets. Lucas and Luna discuss a recent Department of Energy report projecting that AI-related power consumption could reach 9 percent of total U.S. electricity by 2028, up from about 2.5 percent to...

Lucas explains the staggering energy consumption behind large language models — how training a single frontier model can consume as much electricity as hundreds of US homes in a year. Luna explores why tech giants are building their own nuclear power plants and investing in grid-scale batteries. They break down the surprising economics: AI inference is now driving more demand than training, and da...

Episode 7 of ChatGPT and Beyond with Fexingo: Lucas and Luna explore the surprising shift toward smaller, more efficient language models that are outperforming giants in specific tasks. They break down how Microsoft's Phi-3 and Google's Gemma are changing the economics of AI deployment, and why Palantir and Snowflake are integrating compact models into their platforms. Plus, they discuss what this...

Lucas and Luna explore the surprising rise of small language models in enterprise AI. With Super Micro Computer up 15% in a week and AMD surging 11%, the hardware shift signals a market pivot away from massive GPU clusters toward efficient inference. They discuss why companies like Peec are choosing smaller models, what this means for NVIDIA's dominance, and how the economics of 'good enough' AI i...

ARM Holdings stock jumped 41.7% in five days as of May 22, 2026, outperforming every major AI chip stock. This episode unpacks why: a new licensing deal with a top cloud provider, rising royalty rates from v9 architecture, and the market finally pricing ARM as an AI-first compute platform rather than just a mobile IP vendor. Lucas and Luna walk through the numbers—ARM at $304.89, AMD up 11%, Super...