Tue. 05/24 – Does Apple REALLY Want You To Repair Your Own iPhone?
Tech Brew Ride Home
Amalgamated Internets, LLC
4.7 • 1K Ratings
🗓️ 24 May 2022
⏱️ 20 minutes
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| 0:00.0 | Welcome to the Tech Mem Ride Home for Tuesday, May 24th, 2022. I'm Brian McCullough today. |
| 0:09.3 | Google Research says to Open AI, Hold My Beer. They've announced a new AI-based text to image |
| 0:15.6 | generator to rival Dahl E2. Is the shocking earnings warning from Snap a |
| 0:20.4 | result of Apple's ATT changes finally finally catching up with them, or is this indicative |
| 0:25.2 | of the broader tech slowdown? |
| 0:27.5 | Google Street View turns 15 with some new bells and whistles, and does Apple really want |
| 0:31.8 | you to repair your iPhone on your own or no? |
| 0:35.6 | Here's what you miss today in the world of tech. |
| 0:40.3 | Google research has detailed Imogen or Imagine it's spelled I am A G E N |
| 0:47.0 | so I'm assuming Google wants the pronunciation to be fluid which is an AI-based text image generator that is a rival to open AI's Dahl E2. |
| 0:57.0 | Google says, however, that it won't release the code or give a public demo at this time quoting tech crunch. |
| 1:05.0 | Imagine get it is a text to image diffusion based generator built on large |
| 1:09.9 | transformer language models that okay let's slow down and unpack that real quick. |
| 1:14.5 | Text to image models take text inputs like a dog on a bike and produce a corresponding image, |
| 1:19.6 | something that has been done for years, but recently has seen huge jumps in quality and accessibility. |
| 1:24.8 | Part of that is using diffusion techniques which basically start with a pure noise image and |
| 1:29.6 | slowly refine it bit by bit until the model thinks it can make it look any more like a dog on a |
| 1:34.3 | bike than it already does. |
| 1:36.1 | This was an improvement over top to bottom generators that could get it hilariously wrong at first |
| 1:41.0 | guess and others that could be easily let astray. The other part |
| 1:45.1 | is improved language understanding through large language models using the |
| 1:48.2 | transformer approach, the technical aspects of which I won't and can't get |
... |
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