Real-World AI Talks by Just AI News

Will robots replace human workers? Most people assume they know the answer. According to Reed Floco, they are asking the wrong question entirely.
In this episode of Real World AI Talks by Just AI News, host and editor-in-chief Paulo Iñaki Palma sits down with Ried Floco, director of TechForce Robotics and a 32-year hospitality veteran who started in housekeeping and worked his way up to overseeing billions in real estate. The conversation cuts through the fear and the hype around automation and gets to what robotics actually looks like on the ground, in hotels, hospitals, pharmaceutical labs, and beyond.
In this episode we cover:
Why the average hotel housekeeper in the United States is 46 years old and why that number matters for the robotics argument
What most robotic companies are getting wrong by building showpieces instead of solving real problems
How Touch Force Robotics operates as a service provider rather than a hardware seller, and why that model changes everything
Why Reed deliberately keeps his robots less intelligent on purpose
How a network of 16 different robots can communicate with each other and with robots from other manufacturers
How the BIMI bot clears a line of 30 people at a concert venue in under two minutes
Why hacking a hospital robot is a real concern and how an air gap system addresses it
What a pharmaceutical lab looks like when robots handle drug batching instead of humans
Whether entry level jobs in hospitality will disappear because of robotics and what Reed actually thinks
What a hotel will realistically look like in 2035 with robots and humans working side by side
Why Reed believes the companies solving real problems will be the ones that survive
Robots are not coming to replace the bartender or the front desk manager. They are coming for the dirty linens, the trash runs, and the tasks that were hurting people long before anyone was paying attention. This episode explains what that shift actually looks like, built on 32 years of hospitality experience and tested in real hotels and hospitals today.

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.