The AI Podcast with Fexingo: Artificial Intelligence, Machine Learning, and Modern AI Models

Lucas and Luna explore a surprising paradox: Ford is rehiring veteran engineers after discovering that AI-driven design tools couldn't replicate decades of real-world manufacturing intuition. They unpack the TechCrunch report from June 28, 2026, and connect it to broader signals in the tech sector — including a 9.9% weekly drop in the SOXX semiconductor index. Is this a one-off or a warning for AI...

On this episode of The AI Podcast, Lucas and Luna break down the sharp selloff in AI chip stocks on Friday, June 26, 2026, with NVDA dropping 7.7% in five days and ARM falling 18%. They examine the divergence between soaring AI demand and falling chip stock prices, the rotation from pure-play AI to diversified industrials, and what the ASML and Applied Materials data says about real-cycle investme...

Lucas and Luna unpack the shift from text-only AI to multimodal models that see, hear, and generate images. They anchor on the latest release from Anthropic — the Mythos model — which processes text, images, and audio natively. The hosts discuss how this changes enterprise use cases, from automated video analysis in security to real-time captioning in meetings. They also connect the trend to hardw...

Lucas and Luna explore model distillation, the technique where large AI models teach smaller ones. They unpack why this matters for enterprise AI adoption, how it affects demand for expensive inference chips, and what it means for cloud costs. With Nvidia at 192 and AMD at 521, they discuss how distillation could reshape hardware demand. Specific examples: how a distilled model can run on a single...

On this episode of The AI Podcast, Lucas and Luna tackle a puzzling divergence: the AI stock sell-off that has hammered nearly every major chip name in the past five days, even as OpenAI limits its GPT-5.6 rollout and companies from SpaceX to Meta race to build their own silicon. Lucas breaks down why the semiconductor index SOXX dropped 9.9 percent in a week, what the ARM 18 percent slide signals...

Episode 74 of The AI Podcast drills into a striking divergence in AI-linked stocks as of late June 2026. While major chip designers like NVIDIA and Broadcom have dropped 7-8 percent in the past week, semiconductor equipment makers like Applied Materials and ASML are flat to up. Lucas and Luna explore the structural story behind the split: the AI infrastructure buildout has shifted from chip procur...

Lucas and Luna break down the striking divergence in AI chip stocks as of June 2026. While Applied Materials is up 8% in a week and Micron hits new highs, ARM has plunged 21% and NVIDIA dropped 7%. They explore why semiconductor equipment makers are outperforming chip designers, the shift from training to inference, and what the SOXX index's 2% drop masks. A focused look at market structure that e...

New data shows AI-driven engineering layoffs are less severe than predicted. Lucas and Luna examine why demand for AI engineers remains high, the 'productivity paradox' of AI tools, and how companies like Microsoft and Meta are hiring for roles that write the AI itself. They also discuss a recent TechCrunch report revealing that engineering jobs have become more resilient, not less, in the age of...

Lucas and Luna tackle a growing problem inside companies: employees burning through AI query budgets on low-value tasks like rewriting emails and generating meeting summaries. Lucas shares data from a leaked internal memo at a Fortune 500 firm showing that 40% of AI spend went to tasks that saved less than 2 minutes per query. They discuss how firms like JPMorgan and Walmart are implementing tiere...

Super Micro Computer has been one of the most volatile stocks in the AI hardware trade, swinging wildly on every earnings whisper and server deal. This week SMCI jumped 14 percent in five days while NVIDIA dropped nearly 4 percent. Lucas and Luna unpack what's driving the divergence: a shift in how hyperscalers are buying AI servers, the margin question that's haunted Supermicro for years, and wha...

Why is Nvidia's stock down while memory makers like Micron and Applied Materials surge? This episode explains the hidden bottleneck in AI inference: memory bandwidth. Lucas and Luna break down how HBM (high-bandwidth memory) is becoming the critical constraint for AI workloads, why chip designers like Nvidia and AMD are losing ground to equipment makers like ASML and AMAT, and what it means for th...

Everyone focuses on compute—teraflops, H100s, GB200s. But the real bottleneck in AI inference right now is memory bandwidth: how fast the chip can feed data to those compute cores. Lucas and Luna dive into HBM3E, the race between SK hynix, Samsung, and Micron, and why ASML and chip equipment stocks may be the real winners. They look at the numbers: AMD up just 0.8% this week while Micron surged 11...

Lucas and Luna dig into Baseten's massive new funding round and what it says about the shift from AI training to inference. They discuss the economics of running models at scale, why cloud providers are scrambling, and how Super Micro's 15% jump this week connects to the same trend. Plus, how Nvidia's water problem reveals the hidden costs of AI inference. #Baseten #AIInference #Nvidia #SuperMicro...

Nvidia stock is up 2.7% this week to $210.69, but the real story is what's happening behind the scenes: AI companies are hoarding GPUs like never before. Lucas and Luna dig into the supply chain dynamics, the rise of 'GPU debt' among startups, and why Nvidia's dominance is creating a two-tier AI ecosystem. They discuss recent data from the semiconductor index SOXX up 7.3%, and what it means for co...

Lucas and Luna dig into the shift from training AI models to running them at scale — inference. With NVIDIA up 2.7% in the last five days and AMD up 5%, they explore why inference is becoming the real profit engine for cloud providers. They walk through a concrete example: how a mid-size e-commerce company cut AI costs 40% by switching from GPU-heavy training instances to purpose-built inference c...

In this episode, Lucas and Luna break down the stunning move of Nobel laureate John Jumper from DeepMind to rival Anthropic. They explore what this means for the race to build general AI, how Anthropic is positioning itself as a talent magnet, and why Jumper's expertise in protein folding could reshape AI research. They also touch on recent market data, including ARM and Micron's big moves, and th...

While Nvidia dominates the AI chip conversation, Broadcom has quietly become a critical player powering custom AI accelerators for hyperscale data centers. Lucas and Luna break down how Broadcom's networking and ASIC businesses are riding the AI buildout wave, why its stock surged 7.7% this week, and what the company's $411 billion market cap says about the diversification of AI infrastructure bey...

Micron stock surged over 15 percent this week, hitting an all-time high above $1,130. In this episode, Lucas and Luna unpack why the memory chip maker has become an unexpected beneficiary of the AI boom. They dive into the shift from training to inference, the critical role of high-bandwidth memory (HBM), and how Micron's bet on HBM3E gave it a lead over Samsung and SK Hynix. They also discuss the...

Micron Technology surged more than 15 percent in the past five days, far outpacing Nvidia and other AI chip stocks. In this episode, Lucas and Luna unpack why high-bandwidth memory is suddenly the bottleneck in AI training infrastructure. They walk through how Micron's HBM3E chips slot into Nvidia's latest GPU clusters, why the memory market has been a cyclical nightmare for decades, and whether t...

Lucas and Luna break down the $1.5 billion fundraising round reportedly underway at AI inference startup Baseten, just months after its last mega-round. They explore why inference—the part of AI that actually runs models in production—is suddenly the hottest segment in AI infrastructure, and what that means for Nvidia, AMD, and the broader chip market. Plus, a look at the numbers: SMCI at 30 dolla...

Lucas and Luna explore how the semiconductor equipment sector is diverging from the chip design space, using data from June 18, 2026. Applied Materials and ASML are up while Nvidia stalls. They discuss capacity constraints, the shift to on-device AI, and what it means for investors. A detailed look at the two-speed AI hardware market with specific stock moves and economic reasoning. #ArtificialInt...

On this episode of The AI Podcast, Lucas and Luna explore a notable divergence in the AI hardware market: while Nvidia has stalled, equipment makers like Applied Materials and Lam Research are surging. They discuss why the 'picks and shovels' of AI—companies that build the tools to manufacture chips—are becoming the safer bet for investors, and what this rotation says about the maturity of the AI...

Anthropic just became the first AI startup to join the Frontier carbon removal coalition, committing to buy permanent carbon removal credits. In this episode, Lucas and Luna break down why AI companies are increasingly investing in carbon offsets and removal technologies, how the economics work, and what it means for AI's energy footprint going forward. They discuss the scale of AI's power consump...

ARM Holdings surged nearly 29 percent in the five trading days through June 17, 2026, making it the best performer in the semiconductor sector by a wide margin. Lucas and Luna unpack what's driving the rally: a new licensing deal with a major hyperscaler, growing royalty revenue from AI chips in data centers, and ARM's expanding footprint beyond smartphones into automotive and edge computing. They...

On this episode of The AI Podcast, Lucas and Luna unpack Qualcomm's two new product announcements from June 16, 2026, and what they signal about the future of AI hardware. They look at how Qualcomm is positioning itself to be the chip inside devices beyond smartphones — from cars to robots to edge servers — and what that means for the broader AI semiconductor market. They reference recent moves by...