In this weekly podcast we discuss news and developments in the field of artificial intelligence. It covers new models from companies like Nvidia, Microsoft and OpenAI, as well as research papers focusing on areas such as video generation, web navigation and memory optimisation. We also talk about the rise of low-code AI platforms and the growing demand for developers who can tailor these platforms to specific industries and workflows.

In this podcase, we talk about the major developments in the world of AI and ML. We discuss OpenAI's DevDay, where the company showed a lot of new developer features, including real-time speech-to-speech APIs, canvas interfaces for writing and coding, vision fine-tuning, prompt caching, and model distillation. We also discusses Nvidia's entry into the multimodal AI market with its NVLM 1.0 model, Meta's Movie Gen model for generating short videos from text prompts, and Microsoft's upgrade to its Copilot AI assistant. We conclude with a brief look at the research papers and articles that are shaping the future of AI.

Have you ever wondered what happens when governments put too much faith in AI? In this episode, we talk about the story of the Dutch Tax Department's "toeslagenaffaire" (social benefits scandal), which is a warning about the dangers of unchecked algorithms.

A welfare program intended to support families transformed into a tool of injustice, which was tearing lives apart due to a rogue AI system. This isn't a dystopian future; it's the reality in the Netherlands

The topics:

How an algorithm, designed to detect fraud, became a weapon of mass destruction, wrongly accusing families based on flimsy factors like ethnicity and minor errors

The tragic consequences: families losing their homes, children being placed in foster care, and even lives lost to suicide due to the crushing weight of false accusations and insurmountable debts

The lone crusader, Pieter Omtzigt, who challenged the system and fought for justice, facing resistance and attempts to silence him

The government's sluggish response in compensating victims, despite court orders to do so, exposing a blatant disregard for the law and a lack of accountability

In this week's AI and ML news, we discuss recent developments in artificial intelligence. We covers topics like new AI models from Google, OpenAI, and Meta, advancements in voice recognition and image generation, and the increasing cost of using AI tools.

Up next, we've got a masterclass in how not to do AI, courtesy of the Dutch government.

Because who needs AI ethics and oversight when you’ve got shiny new algorithms.

We discuss two inglorious examples of bureaucratic brilliance that'll make you question if anyone in charge knows what AI actually stands for.

This Podcast explores AI's potential, focusing on the singularity when AI surpasses human intelligence. AI is advancing rapidly. New tech includes "wetware" that merges biology with computers, and Brain-Machine Interfaces for direct brain-computer communication. Quantum computing might make AI much faster.

These advances could bring benefits but raise concerns. We'll need to rethink consciousness, rights, identity, and free will. The line between humans and machines may blur.

The Podcasters use sci-fi examples to illustrate advanced AI's potential.

In this podcast we talk about the first space in the evolution of AI which is the "Generation Space". This is described in the source as the first stage of AI evolution, where AI is used for content generation, data analysis, and trend prediction. Businesses start their AI journey in this space because it offers simple automation and task execution, reducing the time and effort required for previously time-consuming and labor-intensive activities. The Generation Space acts as a foundation for more sophisticated AI applications by enabling organizations to experiment with AI, observe its capabilities, and gain the confidence to investigate more transformative applications.

The source also illustrates this idea with examples from various fields:

Predictive analytics in healthcare: The Mount Sinai Hospital in New York employs IBM Watson Health to anticipate which patients have a higher risk of problems or readmission by examining patient data, genetic information, and social determinants of health. This enables medical professionals to step in sooner and modify treatment strategies, resulting in improved patient care and cheaper healthcare expenses.

Dynamic profiling in public employment services: Predictive analytics techniques, particularly logistic regression and decision trees, were used to build a dynamic profiling system for job seekers. This method made it possible to continuously assess and update each job seeker's risk of long-term unemployment based on a variety of criteria, improving the efficiency and efficacy of public employment services.

And much more

This is the second podcast in a series of four about the evolution of AI. This podcast is about the "Productivity Space", where AI goes from just a fun Generative AI tool, to a platform for productivity.

This shift represents the 'Productivity Space' of AI development, a stage in which AI technologies transition from performing simple tasks to taking on a more integral role in our work lives.

We discuss five key applications of AI in the Productivity Space: autonomous communication, reducing work friction, personal AI assistants, process automation, and predictive maintenance.ction" – the small inefficiencies that can accumulate and hinder productivity.81213

Next, we also discuss the rising popularity of personal AI assistants like Google Home and Alexa, which are being enhanced by Agentic AI. Agentic AI enables these assistants to evolve from passive responders to proactive agents capable of analysing context, anticipating needs, and taking initiative.

This Podcast explores AI's potential, focusing on the singularity when AI surpasses human intelligence. AI is advancing rapidly. New tech includes "wetware" that merges biology with computers, and Brain-Machine Interfaces for direct brain-computer communication. Quantum computing might make AI much faster.

These advances could bring benefits but raise concerns. We'll need to rethink consciousness, rights, identity, and free will. The line between humans and machines may blur.

The Podcasters use sci-fi examples to illustrate advanced AI's potential.

This podcast talks about AI's growing impact on business and society. It shows how AI is changing from a simple tool to a major force for change.

"AI-First" businesses are emerging. These companies, like DevRev, Waymo, Ocado, and Lemonade, use AI for everything. AI drives their product development and customer service.

The podcast also discusses "machine customers." These are AI assistants that can do things for us. They can negotiate, manage transactions, and make purchases. Examples include Elna AI, Jace, Viv, Amazon Alexa, and Google Home.

These changes affect both businesses and consumers. We all need to adapt to a world where AI plays a bigger role.

The speaker says this is just the start. Even bigger changes may come, especially with Artificial General Intelligence.