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- š¤ Even Musk thinks AI needs regulation, hereās why
š¤ Even Musk thinks AI needs regulation, hereās why
PLUS: AI reads minds. Really.
Are you afraid of AI?
You might be after reading todayās news.
Scroll on.
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š Elon Musk wants government regulation for AI

Source: CNBC
Unchecked, unrelenting progress is bad for AI.
At least, thatās what Elon Musk thinks.
During Teslaās recent investor day, Elon Musk praised their self-driving AI system. He also offered a harsh critique of the progress of modern AI.
āI'm a little worried about the AI stuffā he said, to a room full of investors.
"We need some kind of, like, regulatory authority or something overseeing AI development," Musk said. "Make sure it's operating in the public interest. It's quite dangerous technology. I fear I may have done some things to accelerate it."
He said that AI helping to build cars would, well, defeat the point of humanity.
"At that point ... there's no point in any of us working."
Youāll recall Figure, a humanoid robot startup. Its first applications will be industrial work. Jobs like automotive assembly.
One of the most famous entrepreneurs of our time is advocating for government regulation.
That is telling.
š¤ Can AI find out anything about you?

Source: Reddit
An anonymous Reddit user poised an interesting thought.
Hereās the TL;DR.
In the near future, it may only take one click to find out everything about a person.
Large language models like ChatGPT and its successors may use OSINT to identify individuals based on writing styles and locational clues. Advanced AI models can analyze this data to create detailed profiles of individuals, including their political leanings and attitudes.
This technology could be used to score and potentially discard individuals based on their profiles.
The post is a little alarmist, but the future tech skeptics warned us of, might not be far off. Muskās regulatory warning wasnāt wrong.
𤯠AI reads minds. No, really.

Sorry, these tarot cards arenāt in binary. Canāt read em.
Let's end on a high note.
Researchers used Stable Diffusion to reconstruct images from a personās brain.
As in, they thought of the image, and Stable Diffusion was able to draw a scarily accurate version of it.
āThe researchersāfrom the Graduate School of Frontier Biosciences at Osaka Universityāsaid that they first predicted a latent representation, which is a model of the imageās data, from fMRI signals. Then, the model was processed and noise was added to it through the diffusion process. Finally, the researchers decoded text representations from fMRI signals within the higher visual cortex and used them as input to produce a final constructed image. ā
Researchers accomplished this before, but with trained models - the breakthrough in this experiment is that the model was completely untrained beforehand.
The applications of this are limitless.
š AI tools, news, tips
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https://iswrite.xyz/ā Heather Cooper (@HBCoop_)
5:40 PM ⢠Mar 4, 2023
AI mood boards!
Thread time š§µ
Some tokens in MidJourney are truly magical! Like the knolling token, I shared back in January. And today I am going to share another magical token:
Mood board
(Prompts in ALT š)
ā Marcos (@followmarcos)
11:05 PM ⢠Mar 4, 2023
Look out AWS.
Voice-to-voice (V2V) @OpenAI ChatGPT is a total game changer. With neural voice from Amazon Polly sped up to 1.2x, you're off to the races. Here's an audio of one response. More to come.
ā Kenny Bastani (@kennybastani)
1:49 AM ⢠Mar 4, 2023
Prompt repo.
Introducing the newest AI side hustle.
You can now make money selling AI prompts with this prompt marketplace built by @promptbase
ā Rowan Cheung (@rowancheung)
8:06 PM ⢠Mar 4, 2023
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8:19 PM ⢠Feb 26, 2023
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