Unsupervised Learning

Topics discussed include risks of commercial spyware, weaponizing criminal activity, importance of authentication, AI advancements and chip production, Mexico's exporting success, rising costs of Chinese imports, information theory, happiness factors, book reading decline, strategies for re-electing Trump and defeating him

The podcast covers AI projects, US spending habits, cybersecurirty incidents, advancements in AI, mental and physical health, income dispariy, conspiracies, and Apple's Life OS.

This podcast discusses the NSA's data broker purchases and AI-assisted attacks, the contradiction between predicted growth in cybersecurity jobs and increasing layoffs, semiconductor investments and the rise of 'nones', and various topics including commercial apps, GPT, AI coding platform, doorbell footage privacy, and upcoming books.

Shil Sircar, Senior VP of Engineering and Data Science at Blackberry, discusses machine learning in cybersecurity, the evolution from ML to generative AI, preventive AI, behavioral analysis, and the future of AI in cybersecurity.

Topics discussed include tracking AI agents engaged in nefarious activities, the potential of benign AI agents to mitigate AI risks, the use of AI in monitoring and surveillance, government transparency, cybersecurity partnerships, scammers using AI to impersonate relatives, cybersecurity incidents and vulnerabilities, the future competition for jobs dominated by AI agents, the need for a balance between creativity and rigor in evaluating opinions on AI, the importance of creativity and innovation in product development, the transition of Mark Zuckerberg's focus, and various other topics including the use of far UV light to prevent the spread of diseases, the decline of self-checkout machines, efforts to attract remote workers, and reflections on societal progress.

Jason Kikta, CISO and Senior VP of Product at Automox, discusses endpoint management, IT and security overlap, patching strategies, cloud-based solutions, configuration drift, policy articulation, automation and AI, IT operations challenges, and future product features in this sponsored episode of Unsupervised Learning.

Topics discussed include Taiwan's election, debunking the 10,000 hours rule, AI integration in life, security issues and Chinese cyber attacks, AI job cuts, YouTube vs audio podcasts, IMF's warning on AI jobs, NASA's plans, and the relationship between AI and AR.

Topics discussed include ChatGPT prompting upgrades, CrewAI agent framework, people's attitudes towards democracy, Starbucks' waste reduction initiative, police drone footage accessibility, local AI models, hacking video, CLI tool for Apple Silicon, security engineer interviews, GitHub blog system, automating web mentions, Mistral 7B on iPhone Pros, AI-generated images detection, building unread bookshelf, and the importance of systems and routines in achieving goals.

Topics discussed in this podcast include Xi purging detractors, chaos and uncertainty in 2024, predictions for AI in 2024, AI crashes and the LFTM metric, biometric data vs mathematical representation, data privacy and security incidents, and reflections on iPhone notes, productivity, and personal growth.

Gabriel Bernadett-Shapiro, an expert on AI Safety and Threat Intelligence, discusses topics such as acceleration vs. de-acceleration in AI, the influence of Duma mentality and Yukowski's ideas, risks of AI acceleration, automating data-dependent analysis with Auto Analyst, and running an AI model for threat intelligence use cases.