How is Joe Biden worse for the economy than a global pandemic? What exactly did he do?

>Limitations and Societal Impact

>There are several ethical challenges facing text-to-image research broadly. We offer a more detailed exploration of these challenges in our paper and offer a summarized version here. First, downstream applications of text-to-image models are varied and may impact society in complex ways. The potential risks of misuse raise concerns regarding responsible open-sourcing of code and demos. At this time we have decided not to release code or a public demo. In future work we will explore a framework for responsible externalization that balances the value of external auditing with the risks of unrestricted open-access. Second, the data requirements of text-to-image models have led researchers to rely heavily on large, mostly uncurated, web-scraped datasets. While this approach has enabled rapid algorithmic advances in recent years, datasets of this nature often reflect social stereotypes, oppressive viewpoints, and derogatory, or otherwise harmful, associations to marginalized identity groups. While a subset of our training data was filtered to removed noise and undesirable content, such as pornographic imagery and toxic language, we also utilized LAION-400M dataset which is known to contain a wide range of inappropriate content including pornographic imagery, racist slurs, and harmful social stereotypes. Imagen relies on text encoders trained on uncurated web-scale data, and thus inherits the social biases and limitations of large language models. As such, there is a risk that Imagen has encoded harmful stereotypes and representations, which guides our decision to not release Imagen for public use without further safeguards in place.

The Fed should not be independent. Biden should have caused a constitutional crisis by firing JPow as soon as he refused to at least turn off the money printer after inflation breached their target.

>Finally, while there has been extensive work auditing image-to-text and image labeling models for forms of social bias, there has been comparatively less work on social bias evaluation methods for text-to-image models. A conceptual vocabulary around potential harms of text-to-image models and established metrics of evaluation are an essential component of establishing responsible model release practices. While we leave an in-depth empirical analysis of social and cultural biases to future work, our small scale internal assessments reveal several limitations that guide our decision not to release our model at this time. Imagen, may run into danger of dropping modes of the data distribution, which may further compound the social consequence of dataset bias. Imagen exhibits serious limitations when generating images depicting people. Our human evaluations found Imagen obtains significantly higher preference rates when evaluated on images that do not portray people, indicating a degradation in image fidelity. Preliminary assessment also suggests Imagen encodes several social biases and stereotypes, including an overall bias towards generating images of people with lighter skin tones and a tendency for images portraying different professions to align with Western gender stereotypes. Finally, even when we focus generations away from people, our preliminary analysis indicates Imagen encodes a range of social and cultural biases when generating images of activities, events, and objects. We aim to make progress on several of these open challenges and limitations in future work.

But holy shit look at the visual quality of the results of Imagen. Someone needs to make an "unlimited" / "unrestricted" / "uncucked" version of it and make it available online.

imagine being interested or impressed with a literal distortion
you might be NPCs

HAHAHAHAHAHAHHAHAHAHAHHAHAHAHAHAAHHAA

gadgetguy.com.au/googles-imagen-text-to-image-ai-is-too-dangerous-for-public-use/
archived: archive.is/i8p5N

>Just don’t expect to be able to use this technology anytime soon. Under the “limitations and societal impact” section of the Imagen website, several reasons outline why Google isn’t handing out access to anyone who wants in. Firstly, the “potential risks of misuse” are currently seen as too great for public consumption – a fair point considering how quickly misinformation spreads online alongside concerns over deepfake technology.

>Another factor is apprehension over Imagen results upholding social biases, such as “an overall bias towards generating images of people with lighter skin tones and a tendency for images portraying different professions to align with Western gender stereotypes.”

The economy was on life support when Trump left because they just got done printing trillions. The repercussions of the pandemic are just beginning, and we were already facing a recession before it started

if the archive.is doesn't display correctly, use this:

web.archive.org/web/20220611191838/https://www.gadgetguy.com.au/googles-imagen-text-to-image-ai-is-too-dangerous-for-public-use/

oy vey don't criticize the controlled opposition!

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His policies make it more expensive and more difficult for american manufacturers and food producers to do their jobs, which in turn makes it harder for every other industry to function. It's like the opposite of trickle down economics. I call it "Fuck up economics" because he fucked things up at the lowest level and caused that problem to work its way all the way to the top of the economy and government

This, he's the figurehead for the machine behind him, and they're trying to crash everything so they can get more power.

Biden just keeps fumbling

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