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TechStuff Jan 31 · 37m Tech News: A Big Week for Big Tech Several of the major tech companies have earnings calls this week, which will tell us more about how they're doing and where we go from here. Plus, we learn more about the affects of layoffs in tech companies, a paralegal investigates DoNotPay's AI claims and how the three big companies in video games are skipping E3 this year. See omnystudio.com/listener for privacy information.
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Practical AI: Machine Learning, Data Science Jan 31 · 42m 3D assets & simulation at NVIDIA What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!
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The Rabbit Hole: The Definitive Developer's Podcast Jan 31 · 18m 291. Prime Directive (Replay)Star Trek fans will know that the Prime Directive is the unbreakable mission statement of the Starfleet. It's a guiding principle, deciding the course and tone for whatever the team encounters. As you’ll learn in today’s episode of The Rabbit Hole, however, the prime directive is an important concept for software developers too! Michael Nunez, Dave Anderson, and Sophie Creutz dive into Norm Kerth’s Retrospective Prime Directive and break it down phrase-by-phrase to illustrate how it applies to an agile workflow. We also share some of the other prime directive texts that we discovered, including the Team Building and Futurospective Prime Directives, and touch on their focus on psychological safety and bringing people together for a specific cause. All this and more when you tune in today!
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The Stack Overflow Podcast Jan 31 · 23m What do the tech layoffs really tell us?Naturally, tech layoffs are top-of-mind for many of us. Despite comparisons to the dot-com bubble, what we’re seeing right now is different. Here’s what the tech and media layoffs really tell us about the economy. In praise of analog technology: why Millennials and Gen Z are springing for paper maps. Make Time, a way of “rethinking the defaults of constant busyness and distraction so you can focus on what matters every day,” was developed in response to always-on Silicon Valley culture. Wifi routers can now be used to detect the physical positions of humans and map their bodies in 3D. Terrifyingly dystopian or interestingly practical? Why not both? In recent accessibility news, a brain-computer interface (BCI) that converts speech-related neural activity into text allows a person with paralysis due to amyotrophic lateral sclerosis (ALS) to communicate at 62 words per minute, nearly 3.5 times faster than before. From the abstract : “These results show a feasible path forward for using intracortical speech BCIs to restore rapid communication to people with paralysis who can no longer speak.” Shoutout to Lifeboat badge winner Holger for their answer to Sort an array containing numbers using a 'for' loop.
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TechStuff Jan 31 · 53m Rerun: Spoofing and Caller ID How do scam artists disguise their phone numbers when setting up robocalls? We look at Caller ID and spoofing and learn how companies and government agencies are trying to fight back. See omnystudio.com/listener for privacy information.
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Daily Tech News Show Jan 31 · Have We Figured Out Ransomware? – DTNS 4446 Reported ransomware payments in 2022 dropped. Is this due to better security practices by companies, more aggressive law enforcement action or a combination of both? Plus AI text and image generation has grabbed most of the headlines but what about AI generated music? And the latest about Carl Pei’s Nothing phone. Starring Sarah Lane, Rich Continue reading"Have We Figured Out Ransomware? – DTNS 4446"
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The Changelog: Software Development, Open Source Jan 30 · 7m News: Data tool belts, Build Your Own Redis, the giscus comments system, prompt engineering shouldn't exist & ALPACA Jeremia Kimelman takes stock of his “data tool belt”, Build Your Own Redis with C/C++ is ready to read, giscus is a comments system powered by GitHub Discussions, Matt Rickard says prompt engineering shouldn’t be a thing and won’t be a thing in the future & Kolja Lubitz’s ALPACA is engine for building adventure games and interactive comics.
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Soft Skills Engineering Jan 30 · 27m Episode 341: Offer rescinded and layoff stuff In this episode, Dave and Jamison answer these questions: I am an American student finishing my undergraduate degree in computer science in the Midwest this semester. I am concerned about the economic climate of the technology industry. I am doing my second internship at a major technology company this summer (Microsoft). After that I will go to graduate school and try to ride out the storm. I have applied nearly a dozen programs including one year and two year masters programs, and even a few PhD programs (MIT plz accept me). My biggest concern is having my offer rescinded. I thought there might be economic turbulence, so last summer I had my return offer place me in the most profitable and highest growth division of the company. How do lay-off decisions get made on the issue of rescinding offers versus laying off people? How can I reduce the risk of the offer getting pulled? I am working on finding another software engineering internship, but it’s extremely difficult to find any open roles. Listener Andre says, I need a gut check here. I have a senior engineer on my team that does not perform well. He keeps procrastinating on tasks that I know wouldn’t take much effort. I think it would be great for the team and the company to substitute this engineer for someone with more passion. One idea I have is to volunteer this person to my director to be laid off. It would be great for the engineer to feed on the potential 3-month severance package. Firing him doesn’t seem like an option because he does the bare minimum for his role. What would you do?
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Salesforce Developer Podcast Jan 30 · 26m 161: Apex Tips and Tricks with Oleh Mykytyn Oleh Mykytyn is the strategic relationship director at the Salesforce partner company Red Tag. Oleh has always had a knack for computers and coding and fit right in with Salesforce after winning a hoodie in 2014 for finishing five badges. In 2017, Oleh was a part of the team that began the Salesforce Developer Group in the Ukraine. Recently, Oleh had a presentation on Apex and record triggered flows, where he discussed which is better. In this episode, we dive into Oleh’s latest presentation topic, beginning with the question, do we need both Apex and record triggered flows? Oleh answers when it’s best to use Apex over Flow, which one’s faster, which one’s better to maintain, and more. We also touch on use cases for wrapper classes and Oleh’s role on the Salesforce product advisory board. Show Highlights: Do we need both record triggered flows and Apex triggers? When it’s best to use Apex over Flow. If Apex is faster than Flow. Which is better to maintain. How easy is it for a developer to pick up the modern version of Flow? How Apex and Flow interact with each other. Use cases for wrapper classes. Oleh’s role on Salesforce’s product advisory board. Links: Follow Oleh on Twitter Follow Oleh on LinkedIn Follow Oleh on Github salesforceben.com/what-is-wrapper-class-in-salesforce redtag.pro/blog/keeping-up-with-salesforce-leaders-worldwide
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Merge Conflict Jan 30 · 43m 343: A Mac Mini To Rule Them All!We celebrate iCircuit Pro, Frank's long await update to iCircuit with a subscription! Then we break down the latest Apple hardware event with new Mac Book Pro models, Mac Minis, and oh... the HomePod?!?! Follow Us Frank: Twitter, Blog, GitHub James: Twitter, Blog, GitHub Merge Conflict: Twitter, Facebook, Website, Chat on Discord Music : Amethyst Seer - Citrine by Adventureface ⭐⭐ Review Us (https://itunes.apple.com/us/podcast/merge-conflict/id1133064277?mt=2&ls=1) ⭐⭐ Machine transcription available on http://mergeconflict.fm
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Data Engineering Podcast Jan 30 · 50m Let Your Business Intelligence Platform Build The Models Automatically With Omni Analytics Summary Business intelligence has gone through many generational shifts, but each generation has largely maintained the same workflow. Data analysts create reports that are used by the business to understand and direct the business, but the process is very labor and time intensive. The team at Omni have taken a new approach by automatically building models based on the queries that are executed. In this episode Chris Merrick shares how they manage integration and automation around the modeling layer and how it improves the organizational experience of business intelligence. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Truly leveraging and benefiting from streaming data is hard - the data stack is costly, difficult to use and still has limitations. Materialize breaks down those barriers with a true cloud-native streaming database - not simply a database that connects to streaming systems. With a PostgreSQL-compatible interface, you can now work with real-time data using ANSI SQL including the ability to perform multi-way complex joins, which support stream-to-stream, stream-to-table, table-to-table, and more, all in standard SQL. Go to dataengineeringpodcast.com/materialize (https://www.dataengineeringpodcast.com/materialize) today and sign up for early access to get started. If you like what you see and want to help make it better, they're hiring (https://materialize.com/careers/) across all functions! Your host is Tobias Macey and today I'm interviewing Chris Merrick about the Omni Analytics platform and how they are adding automatic data modeling to your business intelligence Interview Introduction How did you get involved in the area of data management? Can you describe what Omni Analytics is and the story behind it? What are the core goals that you are trying to achieve with building Omni? Business intelligence has gone through many evolutions. What are the unique capabilities that Omni Analytics offers over other players in the market? What are the technical and organizational anti-patterns that typically grow up around BI systems? What are the elements that contribute to BI being such a difficult product to use effectively in an organization? Can you describe how you have implemented the Omni platform? How have the design/scope/goals of the product changed since you first started working on it? What does the workflow for a team using Omni look like? What are some of the developments in the broader ecosystem that have made your work possible? What are some of the positive and negative inspirations that you have drawn from the experience that you and your team-mates have gained in previous businesses? What are the most interesting, innovative, or unexpected ways that you have seen Omni used? What are the most interesting, unexpected, or challenging lessons that you have learned while working on Omni? When is Omni the wrong choice? What do you have planned for the future of Omni? Contact Info LinkedIn (https://www.linkedin.com/in/merrickchristopher/) @cmerrick (https://twitter.com/cmerrick) on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ (https://www.pythonpodcast.com) covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast (https://www.themachinelearningpodcast.com) helps you go from idea to production with machine learning. Visit the site (https://www.dataengineeringpodcast.com) to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email hosts@dataengineeringpodcast.com (mailto:hosts@dataengineeringpodcast.com)) with your story. To help other people find the show please leave a review on Apple Podcasts (https://podcasts.apple.com/us/podcast/data-engineering-podcast/id1193040557) and tell your friends and co-workers Links Omni Analytics (https://www.exploreomni.com/) Stitch (https://www.stitchdata.com/) RJ Metrics (https://en.wikipedia.org/wiki/RJMetrics) Looker (https://www.looker.com/) Podcast Episode (https://www.dataengineeringpodcast.com/looker-with-daniel-mintz-episode-55/) Singer (https://www.singer.io/) dbt (https://www.getdbt.com/) Podcast Episode (https://www.dataengineeringpodcast.com/dbt-data-analytics-episode-81/) Teradata (https://www.teradata.com/) Fivetran (https://www.fivetran.com/) Apache Arrow (https://arrow.apache.org/) Podcast Episode (https://www.dataengineeringpodcast.com/voltron-data-apache-arrow-episode-346/) DuckDB (https://duckdb.org/) Podcast Episode (https://www.dataengineeringpodcast.com/duckdb-in-process-olap-database-episode-270/) BigQuery (https://cloud.google.com/bigquery) Snowflake (https://www.snowflake.com/en/) Podcast Episode (https://www.dataengineeringpodcast.com/snowflakedb-cloud-data-warehouse-episode-110/) The intro and outro music is from The Hug (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Love_death_and_a_drunken_monkey/04_-_The_Hug) by The Freak Fandango Orchestra (http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/) / CC BY-SA (http://creativecommons.org/licenses/by-sa/3.0/)
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Lex Fridman Podcast Jan 28 · 3h 50m #355 – David Kipping: Alien Civilizations and Habitable Worlds David Kipping is an astronomer at Columbia University, director of the Cool Worlds Lab, and host of the Cool Worlds YouTube channel. Please
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TechStuff Jan 28 · 41m TechStuff Classic: The Philips Story: Part Two What happened to the Philips company during World War II? How did Philips diversify over the decades? What's next for the company? See omnystudio.com/listener for privacy information.
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The Changelog: Software Development, Open Source Jan 27 · 1h 4m Mainframes are still a big thing This week we’re talking about Mainframes with Cameron Seay, Adjunct Professor at East Carolina University and a member of the Governing Board of the Open Mainframe Project. If you’ve been curious about Mainframes, this show will be a great guide. Cameron explains exactly what a Mainframe is and how it’s different from the Cloud. We talk COBOL and the state of education and opportunities around that language. We cover the state-of-the-art in Mainframe land, System Z, Linux on Mainframe, and more.
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Daily Tech News Show Jan 27 · Water Marking Words – DTNS 4445 We go over The Wall Street Journal’s analysis of Meta’s business. And scientists at University of Maryland have produced a method of watermarking ChatGPT’s output. Plus have scientists developed a tractor beam? Starring Tom Merritt, Sarah Lane, Lamarr Wilson, Roger Chang, Joe, Amos MP3 Download Using a Screen Reader? Click here Multiple versions (ogg, video Continue reading"Water Marking Words – DTNS 4445"
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Go Time: Golang, Software Engineering Jan 27 · 44m Long-term code maintenance Ole Bulbuk & Sandor Szücs join Natalie to discuss the ins & outs of long-term code maintenance. What does it take to maintain a codebase for a decade or more? How do you plan for that? What about inheriting a codebase for the long term? Oh, and (how) can AI help?
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Rustacean Station Jan 27 · 46m Rust Web Programming with Maxwell Flitton Allen Wyma talks with Maxwell Flitton, author of Rust Web Programming which details how to build web services using Rust. Contributing to Rustacean Station Rustacean Station is a community project; get in touch with us if you’d like to suggest an idea for an episode or offer your services as a host or audio editor! Twitter: @rustaceanfm Discord: Rustacean Station Github: @rustacean-station Email: hello@rustacean-station.org Timestamps [@0:00] - Introduction [@3:21] - What led Maxwell to write and publish books about Rust [@6:02] - Type-checking and Python crashes [@8:50] - Rust technology and its sustainability [@12:32] - Python vs Rust [@13:23] - Maxwell’s background and history [@16:11] - Details about Maxwell’s book Rust Web Programming [@19:19] - Using the actor model [@24:02] - Maxwell’s thoughts and motivation for publishing more books [@32:44] - Rust community [@35:19] - Rust innovations happening in London [@36:22] - Where to purchase the Rust Web Programming book [@40:14] - What to expect for the upcoming book editions [@43:48] - Parting thoughts Credits Intro Theme: Aerocity Audio Editing: Plangora Hosting Infrastructure: Jon Gjengset Show Notes: Plangora Hosts: Allen Wyma
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