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File: 1780677074238011.jpg (24 KB, 359x437)
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I have not been "in the loop" with all this A.I. news for the past four years due to personal issues

Are there any decent resources that'll help me catch up on all the stuff I missed?

Much appreciated
>>
>>1567724
>Are there any decent resources that'll help me catch up on all the stuff I missed?
Yeah, AI. Just do a Google search for "AI rundown of the last 4 years" and Google will write up some shit for you. Wanna go deeper, just write more questions
>>
>>1567725

>Heh frown.jpg
>>
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>>1567724
if you want to keep abreast of future developments then you could skim watch the ai company's content
Google I/Os, Anthropic content, maybe openAI and meta stuff.

picrel is only focused on LLMs, and local ones at that

Maybe I'll come back and do a write up, but I think my understanding of 'AI news' spans these dimensions. One should (could?):
- be aware of the different types of generative AI (image gen, text gen, video gen, speech gen) and how they compare and contrast with previous AI techniques
- For each ai type, be aware of the capabilities and know rough timelines
- be vaguely aware of what caused the ai boom (better hardware)
- vaguely understand how these models are trained and inferenced. One should know the role of training data and compute. (3b1b's video could help here)


- know how AI can be accessed and used by users. For example some AI is only in the cloud, whilst other stuff is on-device.
- be aware of techniques like prompt engineering, Chain-of-thought, tool-use.
- know the quirks/limitations of AI, like hallucinations/artefacts
- understand how society has played with the different forms and iterations of generative AI
- understand how society uses and feels about different forms of AI
- be aware of the geopolitical element to AI
- be aware of how it is being deployed in workplaces, businesses and customers/workers responses to it
- be vaguely aware of the level of regulation around it

- be aware of the anatomy of the ai sector (ai companies, hardware companies)
- understand the importance of compute, gpus, datacenters etc.
- be aware of how the ai sector itself relates to the broader us and global economy

- be aware of where AI could be heading
- be aware of advances in robotics that is maybe partially related to the AI summer

Note that this covers not only the technical stuff but also how society is responding to it.
(For example, datacenters appear to be becoming a hot topic in the US.)
There's probably some redundancy in there.
>>
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>>1567773
hmm there's an updated timeline but i wasn't there for the second line (i.e. after 2025)
I can't personally attest to it and it seems a bit more memey
still i guess it has value
>>
>>1567773
>Maybe I'll come back and do a write up
AI wrote this post



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