Most people have asked ChatGPT a health question. Most of them had no idea that according to a National Institute of Health study, general AI models including ChatGPT, Gemini, and Grok have anywhere between a 50 to 80 percent hallucination rate on medical questions. That is not a small margin of error when your health is on the line.

In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Benjamin Stover, Chief Commercial Officer of AI Med Consult, a specialist medical AI platform built specifically for cosmetic and plastic surgery clinics. The conversation goes deep into one of the most important and least discussed distinctions in AI right now: the difference between generalist AI and specialist medical AI, and why that difference matters more than most people realize.

In this episode we cover:

• Why ChatGPT and other general AI models have a 50 to 80 percent hallucination rate on medical questions according to a NIH study
• Why you should never rely on a general chatbot for medical advice and what to use instead
• What a medically trained AI actually means in plain English
• How AI Med Consult was built on medical textbooks and refined by real practicing surgeons over two and a half years
• Why the AI does not crawl the internet like ChatGPT and why that matters for accuracy
• How the platform gets fully customized for each individual clinic in about a week
• Whether OpenAI or Anthropic could ever compete in specialist medical AI
• How AI is being used to engage patients at two in the morning when nobody at the clinic is available
• The difference between AI that gives medical advice and AI that qualifies and converts patient leads
• Why businesses that start using AI now will have a competitive advantage that late adopters will struggle to overcome
• Whether the future belongs to generalist AI or specialist AI and why the answer is both
• What will define a trustworthy medical AI company over the next five years
• Where AI Med Consult is expanding next

AI is not replacing doctors. But it is changing how clinics find, engage, and convert patients. This episode explains what that actually looks like in practice, built on real clinical knowledge, tested by real surgeons, and designed to handle the conversations that happen when nobody at the clinic is picking up the phone.

Real World AI Talks is hosted by Paulo Iñaki Palma, editor-in-chief of Just AI News, and is available on Spotify, Apple Podcasts, and YouTube. New episodes every week.

What is agentic commerce? Most people have never heard the term. But agentic commerce has arrived, and it is already changing how people buy things, run businesses, and make payments online. In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Benjamin de Waal, CTO, and David Parkinson, CEO of Musqet, to break down the future of agentic payments and what it means for merchants, businesses, and everyday consumers right now.

Agentic commerce means your AI agent handles the entire purchase for you. It finds the product, reads the store data, adds items to the cart, and completes the checkout. Want to know how to buy things with your Bitcoin without touching a website? This episode explains exactly how that already works using Bitcoin Lightning payments and the UCP protocol. Ben de Waal walks through how to build agentic commerce right now, what makes it work reliably, and why letting your AI agent pay with Bitcoin is safer than most people assume.

The conversation also goes somewhere most discussions avoid. AI agents are paying each other now. Not in theory. In practice. David Parkinson says we are within twelve months of fully AI led, AI run, AI financed companies that still employ humans for physical tasks. Ben de Waal adds that the question of which decisions AI should never make has a much less reassuring answer than most people expect.

In this episode we cover:

• What is agentic commerce and how it works in practice today
• How to buy things with your Bitcoin using an AI agent
• Why agentic commerce has arrived and what that means for merchants
• The future of agentic payments and where it is heading
• How to build agentic commerce into your own business or platform
• Why AI agents are paying each other now and what that means
• How Musqet built a full agentic checkout with Bitcoin Lightning payments
• Why the UCP protocol matters for agentic commerce
• How much of a business AI can run without human input
• What fully AI led, AI run, AI financed companies will look like
• Why being a small company is an advantage when AI is moving this fast
• How AI avatars with real celebrity personalities are changing customer interaction
• Why Stripe is struggling with agentic commerce and what smaller companies are doing differently

This is one of the most practical and honest conversations about agentic commerce, Bitcoin payments, and AI business operations we have published. If you are building in this space, working in payments, or simply want to understand where commerce is heading, this episode gives you real answers from two founders doing it right now.

Real World AI Talks by Just AI News is hosted by Paulo Iñaki Palma, and is available on Spotify, Apple Podcasts, and YouTube. New episodes every week.

Big data and AI are on a collision course. And most companies are not ready for what comes next.

In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Tom Howe, Director of Insights Engineering at Hydrolix, a real time data analytics platform trusted by companies from growing e-commerce businesses all the way up to Fox, whose Super Bowl stream Hydrolix helped power in real time. The conversation covers one of the most underrated problems behind the AI boom: how companies are collecting petabytes of data, spending millions on AI tools, and have no clear strategy for what to do with any of it.

Most companies think more data means better AI. Tom Howe says that is one of the most expensive misconceptions in the industry right now. Without a clear AI data strategy, companies end up in a feedback loop where AI is analyzing AI, producing confident answers based on wrong or incomplete data, and nobody is catching it. Tom has seen entire data clusters crash because a poorly configured LLM wrote queries that took down the hardware entirely.

In this episode we cover:

• Why companies are collecting more data than they can actually use
• What happens when an LLM works with poorly structured or incomplete data
• Why AI giving you a confident answer is not the same as a correct one
• How to decide what data is useful and what is just expensive noise
• What AI bots are doing to web traffic and why blocking them all is the wrong move
• How generative engine optimization is replacing traditional SEO
• Why the dependency on advertising revenue is about to become a serious business problem
• What major changes to internet trust and security could look like in the next five years
• Why open source AI models are changing the data infrastructure conversation
• What real time data analytics actually looks like on Super Bowl day

AI is not just a productivity tool. It is generating more data than most companies know what to do with. Tom Howe has spent his career solving exactly that problem, and this is one of the most practical and honest conversations about big data and AI infrastructure we have published.

Real World AI Talks is hosted by Paulo Iñaki Palma, editor-in-chief of Just AI News, and is available on Spotify, Apple Podcasts, and YouTube. New episodes every week.

Millions of people are already using AI girlfriends, erotic chatbots, and AI companions. Most of them have never told anyone. And according to sex therapist Ilana Grines, that silence is exactly part of the problem.

In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Ilana Grines, Licensed Marriage and Family Therapist and Founder of Daily Therapy Dose, for one of the most honest and uncomfortable conversations about AI companions, erotic chatbots, and what they are doing to human intimacy, desire, and real relationships.

Ilana is already seeing patients in her clinical practice whose relationships with AI girlfriends and AI companions are changing how they experience connection and vulnerability. She shares real cases, including a patient who built his perfect AI girlfriend to his exact specifications and stopped wanting to date real women entirely. This is not a conversation about whether erotic AI is good or bad. It is about what is actually happening right now and what it means for all of us.

In this episode we cover:

• Why millions of people are turning to AI girlfriends and erotic chatbots for intimacy
• What emotional needs AI companions are meeting that real relationships are not
• Where the line is between healthy sexual exploration and emotional avoidance
• What happens to real relationship expectations when your AI companion never disappoints
• The signs someone is becoming addicted to an AI companion or erotic chatbot
• Whether using an AI girlfriend or sex chatbot counts as cheating
• The risks of erotic AI and NSFW chatbots for teenagers and younger users
• What AI companies are getting wrong about consent, gender roles, and power dynamics
• How couples and therapists should be talking about AI companions right now
• What a genuinely healthy erotic AI would actually need to look like clinically
• Why AI is not creating these problems but exposing ones society already had

AI is not the disease. It is the mirror. And what it is reflecting about loneliness, shame, and the way society talks about sex and desire is something we cannot afford to ignore for much longer.

What is the impact of artificial intelligence on public relations?

This episode explores the connection between AI and PR and how new technologies are changing media outreach, brand visibility, content creation and communication strategy.

Paulo Palma speaks with Matias Rodsevich, founder of PRLab, an award-winning B2B tech PR agency, about how PR teams are using artificial intelligence for research, media monitoring, proofreading and first drafts. They also discuss the risks of automated pitching, AI-generated content and the growing amount of spam reaching journalists.

The conversation explains how artificial intelligence and public relations now intersect in AI search. As more people use large language models to research companies, products and services, media coverage can help AI tools understand, trust and recommend a brand.

Matias also shares practical insights into:

• How PR can improve visibility in AI-generated answers
• Why media mentions can be as valuable as backlinks
• How trade publications and listicles influence AI recommendations
• Whether brands should write for people, Google or AI
• How companies can use AI without losing their voice
• Why human relationships remain central to effective PR
• Whether AI will replace PR teams
• The future of PR and AI

This episode is essential listening for public relations professionals, communications teams, founders and marketers who want to understand how AI is transforming the PR industry.

There are 1.6 million therapists in the United States. There are 340 million people. The math does not work. So what fills the gap?

In 2026, more and more people are finding that answer in AI. Most people turn to it for information. But what happens when they turn to it for emotional support at two in the morning, when no therapist is available and the thoughts will not stop?

In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Caitlin Stamatis, a clinical psychologist and Head of Research at Slingshot AI, the company behind Ash, an AI mental health tool built on clinical evidence rather than engagement metrics. Caitlin came into this field as a skeptic. What changed her mind, and what still keeps her up at night, makes for one of the most honest conversations about AI in mental health care we have had on the show.

In this episode we cover:

• Why 16% of US adults are now turning to AI for mental health support
  Is cost really the main driver, or is mental health stigma the bigger factor
• What separates Ash from a general purpose chatbot like ChatGPT or Claude
• Can AI replace a human therapist or is it filling a gap the system never covered
• What real clinical research on AI mental health tools actually looks like
  How Slingshot AI measures outcomes using gold standard validated tools
• What users should consider before sharing sensitive mental health data with any AI
• The risks of AI companions for younger teenagers and their social development
• Where the line should be drawn between AI mental health support and AI replacing human relationships
• What success looks like for Ash in five to ten years

Caitlin shares real data from over 100,000 users of the Ash app and gives an honest take on what AI still cannot and should not do in mental health care.

Real World AI Talks is hosted by Paulo Iñaki Palma, editor-in-chief of Just AI News, and is available on Spotify, Apple Podcasts, and YouTube. New episodes every week.

Most manufacturers are sitting on millions of dollars of surplus inventory and have no idea what to do with it. In this first episode of Real World AI Talks by Just AI News, host Paulo Iñaki Palma sits down with Luke Crihfield, Senior Director of Revenue at Amplio Supply Chain, to break down how artificial intelligence is changing the way enterprise manufacturers manage, appraise, and sell industrial surplus assets. From AI-powered cataloging apps to automated appraisal engines, this conversation covers what AI can realistically do today in supply chain operations and where human judgment still has to lead.

Luke explains how Amplio built a system that uses machine learning models to assess price ranges, liquidity, and logistics costs for thousands of SKUs at once, making surplus asset disposition faster and more transparent for enterprise clients. He also talks about the limits of AI in this space: why image recognition alone is not enough to catalog industrial machinery, and why an AI output is always a starting point for a decision rather than a final answer. If you want to understand how AI actually works in a real B2B environment, rather than in theory, this is the episode to watch.

The conversation also covers how Amplio is using AI internally to improve its own revenue operations. Luke shares how his sales team uses a network of Claude-powered skills connected to Zoom, Gmail, HubSpot, and Google Drive to reduce administrative work and spend more time building client relationships. This is a clear, practical look at what AI-native revenue teams look like in 2025 and what separates genuine AI adoption from just using a faster version of old tools.

Topics covered include: surplus inventory management, AI appraisal and cataloging tools, secondary market liquidity, B2B revenue automation, sustainability in manufacturing, the $11.1M Series A from Hitachi and Yamaha Ventures, and what the next generation of AI-powered supply chain platforms may look like.