sudoshakes

joined 2 years ago
[–] sudoshakes@reddthat.com 0 points 2 years ago (4 children)

This didn’t answer my question.

[–] sudoshakes@reddthat.com 1 points 2 years ago

This. This comment right here is why there will be more training at work.

[–] sudoshakes@reddthat.com 1 points 2 years ago

The model inferred meaning much the same way it infers meaning from text. Short phrases can generate intricate images accurate to author intent using stable diffusion.

The models themselves in those studies leveraged stable diffusion as the mechanism of image generation, but instead of text prompts, they use fMRI data training.

[–] sudoshakes@reddthat.com -1 points 2 years ago (2 children)

I like how I said, the problem is progress is moving so far you don’t even realize what you don’t know about the subject as a layman… and then this comment appears saying things are not possible.

Lol.

How timely.

I the speed at which things are changing and redefining what is possible in this space is moving faster than any other are of research. It’s insane to the point that if you are not actively reading white papers every day, you miss major advances.

The layman had this idea of what “AI” means, but we have truly no good way to make the word align to its meaning and capabilities with how fast we change what it means underneath.

[–] sudoshakes@reddthat.com 2 points 2 years ago

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding: https://aiimpacts.org/2022-expert-survey-on-progress-in-ai/

High-resolution image reconstruction with latent diffusion models from human brain activity: https://www.biorxiv.org/content/10.1101/2022.11.18.517004v3

Semantic reconstruction of continuous language from non-invasive brain recordings: https://www.biorxiv.org/content/10.1101/2022.09.29.509744v1

[–] sudoshakes@reddthat.com 0 points 2 years ago

Seeing Beyond the Brain: Conditional Diffusion Model with Sparse Masked Modeling for Vision Decoding: https://aiimpacts.org/2022-expert-survey-on-progress-in-ai/

High-resolution image reconstruction with latent diffusion models from human brain activity: https://www.biorxiv.org/content/10.1101/2022.11.18.517004v3

Semantic reconstruction of continuous language from non-invasive brain recordings: https://www.biorxiv.org/content/10.1101/2022.09.29.509744v1

[–] sudoshakes@reddthat.com 16 points 2 years ago (11 children)

A large language model took a 3 second snippet of a voice and extrapolated from that the whole spoken English lexicon from that voice in a way that was indistinguishable from the real person to banking voice verification algorithms.

We are so far beyond what you think of when we say the word AI, because we replaced the underlying thing that it is without most people realizing it. The speed of large language models progress at current is mind boggling.

These models when shown FMRI data for a patient, can figure out what image the patient is looking at, and then render it. Patient looks at a picture of a giraffe in a jungle, and the model renders it having never before seen a giraffe… from brain scan data, in real time.

Not good enough? The same FMRI data was examined in real time by a large language model while a patient was watching a short movie and asked to think about what they saw in words. The sentence the person thought, was rendered as English sentences by the model, in real time, looking at fMRI data.

That’s a step from reading dreams and that too will happen inside 20 months.

We, are very much there.

[–] sudoshakes@reddthat.com 4 points 2 years ago

If there are only four directions

[–] sudoshakes@reddthat.com 2 points 2 years ago

Host it yourself.

[–] sudoshakes@reddthat.com 7 points 2 years ago

That has turned into one of the most useful political tools ever made.

For all its flaws, it’s an aircraft that when it showed up to the first Red Flag training series, it flew against the best fighter pilots and aircraft in the western world racking up a 78:1 kill ratio.

The cost has come down on A models, flight availability has risen, and costs per airframe are dropping as costing and maintenance costs reduce.

It’s got problems. It has lord of problems. It’s got a reputation as a failure of a program from the early 2Ks, but it is in reality the most successful political military program ever created. Every. Single. One. Of NATO countries want them, but just need to figure out how to buy them. 16 countries we want able to integrate and work closely with us have them in order or are flying them.

They offer capabilities simply not possible with any other aircraft, and quarterback the battle space with sensor integration from inputs across all aircraft, radars, and it’s own sensors. This gets pushed out to every other data linked aircraft in the battle space.

The F-35 is an incredible and continually getting better program.

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