A daily mixtape around the latest that drops in tech and culture
Podcast Overview
A daily mixtape around the latest that drops in tech and culture
Language
🇺🇲
Publishing Since
6/1/2023
1 verified contact email on file for Loud in Tech
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
July 7, 2023
"Tech Chronicles: Paint Drip People, EV Vans, and Ultimate Guide to Git and Jupyter Notebooks"
In today's episode of Loud in Tech, we discuss a range of topics that span skills development, gaming, database systems, electric vehicle adoption, AI automation, programming, education policy, and Git for Jupyter notebooks. First, we delve into Kent Beck's concept of "Paint Drip People" as a new model for skills development, challenging the conventional T-shaped skillset. We explore how this concept is exemplified by Keith Adams, Chief Architect at Slack. We then move on to Google Play Games' beta version, which allows users to play Android games on PCs, providing a larger screen and improved controls. Over 100 games are currently available, with new additions regularly. Next, we explore the challenges of garbage collection in multi-version concurrency control for database systems, looking at MyRocks, InnoDB, and Postgres. We discuss the potential solutions, including optimistic locking. Shifting our focus to the electric vehicle space, we highlight Amazon's milestone of having over 5,000 Rivian electric delivery vans on the road, delivering more than 150 million packages. We discuss the features and expansion plans for these vans. We then delve into the frustrations expressed by users over the performance of GPT-4, noting its perceived lack of context and decreased human-like quality compared to GPT-3.5. We also touch upon the ongoing cap on messages and OpenAI's response. Addressing education, we examine a controversial research study on the effectiveness of the Harlem Children's Zone charter schools and community programs, considering the contrasting opinions on its methodology and conclusions. Moving on to technology and labor, we discuss the increasing automation of the Mechanical Turk platform using AI, raising concerns about the integrity of tasks intended for humans. In the realm of programming, we introduce Unison, a language that proposes code-level dependencies as a potential solution to versioning issues. However, its implementation may be some time away. We also highlight the challenges faced by electric vehicle drivers in northern Ontario due to out-of-service charging stations, hindering their ability to complete road trips. We discuss the significance of charging infrastructure for EV adoption. Additionally, we touch upon the recommended tutorial for OpenWorm beginners, the contents of the "CLOSURE" repository on GitHub, and an article on using Git for version controlling Jupyter notebooks. Join us as we explore these diverse tech and culture topics in today's episode of Loud in Tech.
July 6, 2023
"Tech Tales: Forever Chemicals, Hottest Days, and Spying Phones"
In today's episode of "Loud in Tech," we discuss the potential future of programming with code-level dependencies and a new language called Unison. We also explore the use of Poedit in translating Joplin's .pot file and DigitalOcean's acquisition of Paperspace for AI and ML capabilities. Additionally, we delve into TwinSpark technology for enhanced HTML, PlanetScale's new Scaler Pro plan, and the case against self-closing tags in HTML. We also cover topics like the InternLM Chat 7B model, the presence of harmful chemicals in water systems, escalating global temperatures, a federal judge's order regarding social media companies, and a massive landslide discovery. Lastly, we touch on the release of Godot 4.1, the evolution of social networks, raylib as a game development library, and the latest gaming news. Tune in for insightful discussions and updates on tech and culture!
July 5, 2023
"The Tech Gossip: Aircraft Hoaxes, Magnetic Dogs, and No Outdoor Ads"
In today's episode of Loud in tech, we discuss various topics ranging from debunking a fake image of an aircraft to the estimation of the global population milestone of 8 billion. We also explore the possible relationship between geomagnetic storm activity and suicide rates, as well as the use of the Earth's magnetic field for navigation by birds. Additionally, we provide an update on the latest news from POLITICO, highlighting Meta's Twitter rival, Threads, and Russia's attempts to control information. We also examine the impact of news consumption on health and happiness, the complexity of sorting algorithms, and the need for advancements in cloud-native software engineering. Lastly, we delve into the creative solutions and limitations of TypeScript's type system in the ronami/meta-typing repository on GitHub and discuss cities banning billboards, as well as the potential future of code-level dependencies in programming with Unison. Don't miss this jam-packed episode!
37 total episodes available
Deep-dive analytics for Loud in Tech
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Loud in Tech?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.