Christian Johnson with Data Cold Storage and the Impact of the LLM in AI – HGG579

Christian Johnson is back and we spend some time catching up on Maple Grove Partners. We have a discussion on the benefits of cold storage is how to make the most of it. We then discuss the increasing accessibility and affordability of language learning models (LLMs) for both enterprises and individuals. Is the future where everyone will have their own language learning model, with some being cloud-hosted and others privately hosted? Christian predicts that the availability of LLMs will further accelerate their impact on daily life. They anticipate that LLMs will become more mainstream and affordable, fueling an already growing trend and making previously inaccessible things more attainable.
Thanks for listening! Links and show notes below.
 



Full show notes, transcriptions (available on request), audio and video at http://theAverageGuy.tv/hgg579
Join Jim Collison / @jcollison for show #579 of Home Gadget Geeks brought to you by the Average Guy Network.
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Popular Tags: Podcast, Home Gadget Geeks, Jim Collison, Christian Johnson, client-side platform, email capabilities, managed model, self-hosted instances, data centers, Google, hosting, email, small businesses, Gmail accounts, mailbox, spam, professional email address, garbage email address, chat GPT, Training Model, model, cold storage
 
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Show Segments:
[00:02:31] $10 hosting plans.
[00:04:40] West Coast server expansion.
[00:08:38] Gmail as a garbage email address.
[00:11:34] Cold storage and data security.
[00:16:06] Storage options for home users.
[00:20:49] Querying Cold Storage Data.
[00:25:41] Local transcription and search.
[00:27:22] Streaming Wars and Cable TV.
[00:32:16] Changing consumer streaming landscape.
[00:35:38] VPNs and internet privacy.
[00:39:18] VPNs and data privacy.
[00:45:11] AI and large language models.
[00:49:18] AI and deepfakes.
[00:53:30] Impact of AI on daily life.
[00:55:12] Acceleration in AI job market.
[00:59:31] AI and automation in business.
[01:05:02] Limitations of AI advancements.
[01:11:26] Homogeneous state and error.
[01:14:20] Commodity programming and chat GPT.
[01:17:35] Human-like errors in AI.
[01:23:06] Trust and accountability in AI.
[01:26:45] Changing job landscape with AI.
[01:29:00] Join our Discord community.
 
Links
 
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