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Crypto Chronicles:Quantum

22.04.2025

By TheNaethPublished 9 months ago Updated 9 months ago 3 min read
Crypto Chronicles:Quantum
Photo by Kanchanara on Unsplash

1-Consensys, Solana, Uniswap were among the corporations giving $239 million to Trump’s inauguration, papers reveal

Coinbase's Chief Legal Officer, Paul Grewal, revealed on X that the SEC released withheld papers.

These include a May 2022 internal Howey test study of ETH 2.0 and a February 2023 communication criticizing Ethereum's

designation as a security and an April 2023 commissioner memorandum before launching the ETH 2.0 probe. Investigative case closing story is listed. ​

The SEC refused Coinbase's FOIA requests under Exemption 7(A) for active enforcement actions.

After the Ethereum 2.0 investigation ended without charges, the SEC said the exemption “may” no longer apply. However, the government requested a three-year examination of 132,000 papers for additional exclusions. ​

Grewal questioned why Ethereum passed the SEC's internal “ecosystem” exam while others did not. He stressed transparency to avoid regulatory mistakes. ​

Coinbase is taking legal action to combat governmental overreach and lack of transparency in the crypto market.

The exchange has sued the SEC and FDIC for denying Freedom of Information Act requests over crypto sector probes and actions.

2-Data ownership is key to breaking the AI monopoly

OpenAI's picture generator shocked admirers by mimicking Studio Ghibli's animation style. Not only were the findings frighteningly accurate, but Ghibli's work, like many others, had likely been scraped to train the model without permission or recompense. Machines ate the iconic studio's decades-long heritage and spat it out for amusement.

This is not unique. ChatGPT and Midjourney, the world's most powerful AI models, were trained on billions of unconsented data. AI has helped medical advances and mechanized production, but it has also silently developed an exploitative empire. These systems are biased. They mirror data cultures, preconceptions, and prejudices.

Let's call ourselves unpaid data makers. You feed AI by submitting a picture, captioning it, or labeling a dataset for machine learning. Who gains in 2025? Who falls behind?

Massive internet scraping fuelled AI's most powerful models from the outset. Books, forums, code, and photos were consumed without permission. Tweets, Reddit postings, YouTube videos, blog comments, and creative work become multi-billion-dollar platform training.

Legal action is catching up. New York Times sues OpenAI for copyright infringement. Getty Images sued Stability AI. Fearful artists and programmers are gathering to demand fair treatment. With impunity, these firms profited off the internet's collective intellect for years.

Few see this extractive economy, but its influence is huge. AI corporations sell memberships, raise billions, and control marketplaces while giving the public nothing for their information.

AI does not create, which is tragic. It imitates—often badly. Creating a picture, poetry, or headline using a model is not new. It remixes human labor without context, complexity, or significance.

Worse, it mimics our worst qualities. Data-trained AI systems absorb prejudice, cultural preconceptions, and linguistic habits. The result? Maximized stereotypes. Ignored voices were deleted quickly. Machines repeating strong or persistent views.

We risk a few-defined intelligence without purposeful variety in AI training. The composition of AI trainers matters more than ever.

This new digital economy will make data producers builders, not consumers. From classifying photos and annotating text to regulating datasets and offering structured insights, regular people are becoming vital to machine learning infrastructure.

The change must go beyond technology. It must be economic. Consider decentralized data platforms that pay contributors for their time, expertise, and knowledge. People may earn stablecoins, tokens, or money by training AI. The new work market is exponentially more flexible, worldwide, and available to anybody with a smartphone and leisure time.

Rural laborers, refugees, and the unbanked might find hope in data work. They may join and advance in one of the world's fastest-growing sectors with simple equipment and internet connection.

3-Further SEC Ethereum 2.0 inquiry docs obtained by Coinbase

Coinbase's Chief Legal Officer, Paul Grewal, revealed on X that the SEC released withheld papers.

These include a May 2022 internal Howey test study of ETH 2.0 and a February 2023 communication criticizing Ethereum's

Security classification and an April 2023 commissioner memorandum before allowing the ETH 2.0 probe. Investigative case closing story is listed. ​

The SEC refused Coinbase's FOIA requests under Exemption 7(A) for active enforcement actions.

After the Ethereum 2.0 investigation ended without charges, the SEC said the exemption “may” no longer apply. However, the government requested a three-year examination of 132,000 papers for additional exclusions. ​

Grewal questioned why Ethereum passed the SEC's internal “ecosystem” exam while others did not. He stressed transparency to avoid regulatory mistakes. ​

References

https://crypto.news/coinbase-secures-more-sec-documents-on-ethereum-2-0-investigation/

https://crypto.news/breaking-the-ai-monopoly-starts-with-data-ownership/

https://crypto.news/consensys-solana-uniswap-were-among-the-companies-donating-239-million-to-trumps-inauguration-filings-show/

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TheNaeth

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