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

Lucas and Luna dissect Meta's controversial AI feature on Instagram — a personalized content feed that users said crossed a line — and why the company pulled it within days. They explore the design decisions that led to backlash, the broader tension between AI-driven personalization and user trust, and what this means for big tech's next generation of AI products. Drawing on Meta's recent stock mo...

SK Hynix just raised 26.5 billion dollars in the biggest foreign IPO in US history—and the ripple effects are hitting every AI chip stock from NVIDIA to AMD. Lucas and Luna break down why this Korean memory giant is suddenly America's most-wanted chip partner, how its HBM4 technology is becoming the backbone of AI training clusters, and what the IPO means for the balance of power between Intel, Sa...

Broadcom stock surged 11 percent this week, outperforming most AI chip peers. We unpack why: a massive custom AI chip deal with a major cloud provider, VMware's margin contribution stabilizing, and the market re-rating Broadcom as a pure infrastructure play rather than a legacy semiconductor company. We also compare its trajectory to Marvell and look at what the stock's price-to-earnings ratio exp...

Meta just released Muse Spark 1.1, its latest AI coding model, but the bigger story is how the company is running inference on its custom Meta Training and Inference Accelerator chip. In this episode, Lucas and Luna break down the cost savings of owning your own inference silicon, why Broadcom's 11 percent weekly surge is connected to custom chip deals, and how the math of AI inference is reshapin...

As big AI models capture headlines with trillion-parameter claims, a quiet revolution is happening inside enterprises: small language models running on local devices. In this episode, Lucas and Luna unpack why companies like Apple, Microsoft, and Samsung are betting on models under 7 billion parameters, how a midsize retailer cut inference costs by 94 percent by switching from GPT-4 to a fine-tune...

This episode of The AI Podcast dives into a bold claim from a startup that robotics is on the verge of a ChatGPT-like breakthrough. Lucas and Luna discuss why general-purpose robot models are suddenly plausible, what the hardware and software stack currently looks like, and how Nvidia's 3.3% weekly gain and Arm's 11.0% drop reflect the market's bet on two competing visions: centralized AI brains v...

A tiny French startup called ZML just released a free tool that promises to speed up AI inference across a wide range of chips — including NVIDIA's H100, AMD's MI300X, and even Intel's Gaudi 3. Lucas and Luna unpack why this matters right now, as the AI hardware market splits into winners and losers. They discuss how ZML's approach differs from NVIDIA's proprietary CUDA ecosystem, what the stock m...

Microsoft is shifting strategy, relying more on internally developed AI models rather than licensing from partners like OpenAI. Lucas and Luna break down what's driving the change — ballooning inference costs, competitive pressure from open source, and a desire to control the full stack. They reference today's data: Microsoft stock up 4.2% in a week while AMD dropped 11.2% and ARM fell 15.3%, sign...

Palantir stock surged 14.6% in the past five days, reaching $132.54, even as the broader AI sector cooled. Lucas and Luna dig into why — is it genuine government AI deployment, or just investor narrative? They contrast Palantir's momentum with chip-equipment makers like Applied Materials and Lam Research, which dropped nearly 15% in the same period. The hosts explore the growing divide between the...

Lucas and Luna explore the surprising divergence in AI infrastructure as model inference splits into two distinct markets: high-throughput batch processing for enterprise and low-latency real-time inference for consumer apps. They discuss how companies like Together AI and Anthropic are betting on custom silicon, why NVIDIA's data center revenue mix is shifting, and what the recent sell-off in equ...

Amazon's decision to stop accepting new customers for Mechanical Turk marks the end of an era for microtask labor. Lucas and Luna unpack why Amazon is pulling the plug on a service that once defined the gig economy, what it means for AI data labeling, and how the broader shift to automated annotation tools is reshaping the industry. With Mechanical Turk's decline, companies like Scale AI and Surge...

Lucas and Luna explore how AI video generation tools are moving beyond novelty into actual Hollywood production pipelines. They discuss Runway's latest deal with a major studio, the economics of replacing VFX crews with generative models, and why this shift is accelerating despite the broader AI stock selloff. With specific data on Nvidia and AMD's diverging fortunes, they drill into one concrete...

Lucas and Luna break down the rise of Mistral AI, the Paris-based startup that's quietly becoming one of the most formidable challengers to OpenAI. They examine Mistral's unique open-weight strategy, its $600 million funding round in early 2025, and how its partnership with Microsoft and deep ties to French tech talent are reshaping the European AI landscape. They also discuss what Mistral's lates...

Super Micro Computer (SMCI) has lost 11 percent of its value in the past five trading days, making it the worst performer in the AI hardware complex as of July 4, 2026. In this episode, Lucas and Luna dissect the specific forces behind the sell-off: growing concerns about gross margin compression as the company shifts toward liquid-cooled data center racks, heightened competition from Dell and Hew...

Palantir's stock jumped 14.5% over the last five trading days, hitting $129.30 as of July 4, 2026. But this isn't just another AI hype rally — it's a bet on a fundamental shift in how enterprises deploy AI. Lucas and Luna break down the specific contracts, product launches, and market dynamics behind the surge, from Palantir's new AIP platform to competition with Microsoft and Databricks. They als...

Micron Technology shares fell 13.8% in the five trading days ending July 3, 2026, making it the worst performer in the PHLX Semiconductor Index. Lucas and Luna dig into what moved — and what didn't. They trace the selloff to a single analyst note questioning HBM4 timelines, contrast Micron's plunge with NVIDIA's resilience, and examine why the memory cycle might be turning even as AI demand grows....

Intel shares fell more than 6 percent in the last five trading days, even as AI-frenzy stocks like Palantir surged 14 percent. Lucas and Luna dig into the specific headwinds facing Intel in July 2026: the company's delayed AI accelerator roadmap, persistent manufacturing challenges, and a market that has started treating Intel as a legacy compute play rather than an AI winner. They compare Intel's...

Anthropic is in talks with Samsung to develop a custom AI accelerator, a move that could reshape the chip supply chain. Lucas and Luna break down why a model company would build silicon, how this mirrors Google's TPU strategy, and what it means for Nvidia's dominance. They also examine the cost dynamics: training a GPT-4-class model now runs north of $100 million, and custom chips promise to cut t...

Lucas and Luna unpack the often-overlooked expense of running AI models in production: inference costs. While training gets the headlines, inference is where the real spending happens for most companies. They explore how inference costs can dwarf training expenses, why hyperscalers are racing to build custom inference chips, and what the recent moves by companies like AMD and Nvidia reveal about t...

On this episode of The AI Podcast, Lucas and Luna dive into Together AI's massive $800 million funding round at an $8.3 billion valuation, announced July 1, 2026. They explore what this means for the neocloud market, the economics of AI inference, and how Together AI differentiates from incumbents like AWS and Azure. With Palantir up 17% in a week and Nvidia holding steady, they connect the dots t...

While AI chip stocks have been volatile, equipment makers like Applied Materials are surging. Lucas and Luna explore why the semiconductor capital equipment sector is outperforming, with Applied Materials up nearly 23% in the past week and ASML gaining 13%. They discuss how the shift to advanced packaging and EUV lithography is driving demand, and what this means for the broader AI supply chain. T...

On this episode of The AI Podcast, Lucas and Luna dig into a striking divergence in the AI sector: while big chip names like Nvidia and AMD have seen mixed performance, equipment makers ASML and Applied Materials are up double digits over the past week. Lucas explains that the market is shifting focus from chip designers to the companies that build the fabs, driven by capacity expansion and a grow...

Lucas and Luna dive into the rise of 'vibe coding' — AI-assisted coding that lets non-engineers build software by describing what they want in plain language. They explore why startup Base44 just launched its own model, what Chamath Palihapitiya's $135 million Series A for an AI coding startup means for the space, and why defensibility is the biggest question hanging over every AI coding platform....

The AI chip trade used to move as one block. Not anymore. In this episode, Lucas and Luna break down the surprising divergence between chipmakers and equipment suppliers, using Applied Materials' 18.6% weekly surge and Lam Research's 10.7% gain as a lens. They explore how the market is pricing two distinct futures: one for companies that sell picks and shovels to every fab builder, and another for...

On June 29, 2026, the AI chip trade is in turmoil. NVIDIA is down 7.7% over five days, AMD off 5.4%, and the SOXX semiconductor index has dropped nearly 10%. Yet equipment makers like Applied Materials are only down 2.1%, and ASML fell 7% — less than the chip designers. Lucas and Luna unpack the decoupling: hyperscalers are slowing their GPU purchases, but they're still building out fabs and buyin...