Best Tech Podcasts This Week – 07/31/23

The Tech Tribune staff has compiled a list of the best new tech podcasts released in the last week (as of the time of writing):

“The US issues a National Cyber Workforce and Education strategy. Hunting Chinese malware staged in US networks. CISA warns of Barracuda backdoor. WikiLoader malware is discovered. P2Pinfect is a malware botnet targeting publicly-accessible Redis servers. Johannes Ullrich from SANS describes attacks against YouTube content creators. Rick Howard previews his conversation with AWS Ciso CJ Moses. And Russia’s SVR continues cyberespionage against Ukrainian and European diplomatic services.”

“While an elephant may never forget, the same cannot be said for artificial neural networks. What is catastrophic forgetting, how does it affect artificial intelligence and how are engineers trying to solve the problem?”

“Something interesting is going on at Stack Overflow, researches dig up some new (and potentially unavoidable) LLM attacks, Google proposes a new API that Ron Amadeo calls a DRM gatekeeper for the web, the Python Steering Council affirms PEP 703 & Lucas McGregor writes why no one wants to talk to your chatbot.”

“Walmart paid $1.4 billion to buy out Tiger Global’s remaining holding of Flipkart shares as the retail giant further expands its stake in the Indian e-commerce startup.”

“The number of posts and votes on Stack Overflow is dropping, perhaps eaten by AI. Do they have an endgame strategy? Also, a new hacking attack via NPM, every CTO needs to be aware of that. And how diverse teams require more effort but are worth it. Find out more as Stephan Schmidt, CTO Coach at Amazing CTO, discusses the future of CTOs with AI. Show Notes.”

“Brian Armstrong strongly hints that US regulators believe only Bitcoin is legal. A deep dive into what we can expect from this year’s iPhones. Is the US crackdown on tech to China having a real impact? And the artist that tried to take his art out of Stable Diffusion, only to have the community pull him back in.”

“Today we’re joined by Atul Deo, General Manager of Amazon Bedrock. In our conversation with Atul, we discuss the process of training large language models in the enterprise, including the pain points of creating and training machine learning models, and the power of pre-trained models. We explore different approaches to how companies can leverage large language models, dealing with the hallucination, and the transformative process of retrieval augmented generation (RAG). Finally, Atul gives us an inside look at Bedrock, a fully managed service that simplifies the deployment of generative AI-based apps at scale.”

“This week on The Exit: Stuart Prestedge is a seasoned software startup coach and founder of multiple successful businesses. Coming from a family of entrepreneurs, he founded his first business at 18 in the gaming world. His first real success came with a software suite in the productivity niche Stuart founded in early 2000 with his business partner Simon. The software suite quickly rose to prominence, becoming the #1 productivity app in over 20 countries. When it came time to exit, the company had over 11M users, and both Stuart and Simon knew the price they would sell for. Listen to find out how the exit unfolded, and how Stuart scored a job where he was tasked to: ‘Go and do what you do best’.”

“In this episode, we are joined by Ryan Liu, a Computer Science graduate of Carnegie Mellon University. Ryan will begin his Ph.D. program at Princeton University this fall. His Ph.D. will focus on the intersection of large language models and how humans think. Ryan joins us to discuss his research titled “ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper Reviewing””

“Neuroscientists are creating more naturalistic experiments that they hope will provide a more nuanced understanding of animal — and human — behaviour.

These set-ups differ from the classic laboratory experiments that have been used for decades, and may help in the understanding of behaviours such as escaping a predator or finding scarce food. By studying these natural actions, scientists are hoping to glean lessons about the brain and behaviour that are more holistic and more relevant to everyday activity than ever before.”