pt5. ChatGPT and Mike Conte Special Guest (And Tech Glitches Galore)

This time, we bumble through an episode featuring the amazing Mike Conte and we talk about what’s wrong with this Podcast technically (see below), about ChatGPT, and about how you don’t want to show others the Money. Mike is as always hilarious! Ok, our exploration of Podcasting continues with tech glitches galore. First of all apologies to our 15 viewers. But we are going to fix:

The segment producer problem and move to a news section and then a special topic, the news will be on cool things in Tech from AI to Gadgets to Smart Home, things opinionated Verge)
Audio, yes there are lots of glitches here, I had not realized that OBS really requires all manual controls. I just want Automatic Gain Control and Radio voice, but I’m learning. The audio in this one is very quiet because I had the Gain stage turned up, but didn’t realize the compressor also had gained. And the Final Cut Pro gain is only 12dB. Also, I didn’t realize how the Noise suppressor and gain work on low signals (like it cuts them out) and Zoom is very low.
Video, I’ve been mastering in HDR and the default in OBS is for 400 nits peak brightness, but while this looks awesome on iPhone, Mac, and iPad (let’s call them “real” HDR devices with 1000 peak nits), it looks dreadful on lesser HDR devices like my LG B9 which is only at most 400 nits. So I’ll probably settle at say 300 nits for this next time, but most people I think are just getting the transcoded SDR Rec.709 output).

And here is the podcast:

RT3. AI Hardware Introduction – Paul, Deon & Tong

This is another sort of nerdy side note. If anyone is still watching, this section is just to give intuition on the basics of the hardware. There are lots of assumptions about GPUs and CPUs that I wanted to make sure people understood.But the basics are that CPUs are tuned for lots of branches and different workflows, while GPUs are tuned for lots of the same things like matric math. And because they are so fast, most of the job of the computer folks is "feeding the beast". That is caching the most frequently used information so they don't have to wait. There are some errors I think in the levels of the CPU and GPU performance particularly in the cache performance as it is not very clear how this works and the results of course vary depending on the models of processors, so these are all approximations. Put in comments better sources. I have all the sources listed in a spreadsheet that is part of this. We are happy to send this to anyone who wants the source data. I'll fix these errors in later editions (as I'm obsessive that way) .Also, I'm quite proud of the HDR mix, using the latest OBS settings, producing in HDR in Final Cut Pro, and adjusting the video scope levels helps. The audio is a little hot and I'm sorry about that, I'll turn it down next time, I stoo much time in the red. My Scarlett needs to about 1 O'clock and it works. See https://youtu.be/FupclouzYTI for a video version. And more details at https://tongfamily.com/2024/03/08/pod-rt3-ai-hardware-introduction/ Chapters: 00:00 AI Hardware Introduction 00:42 Computer Engineering in Two Slides 05:40 It's 165 Years to a Single Disk Access?!! 14:12 Intel Architecture CPU 17:03 What's all this about NVidia 25:24 And now for something completely different, Apple 29:45 Introduction Summary 2024-03 -08 Shot as UHD HEVC HDR PQ 10 bit using OBS Studio and Final Cut Pro© 2024. Iron Snow Technologies, LLC. All Rights Reserved. — Send in a voice message: https://podcasters.spotify.com/pod/show/richt/message