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🚨 $BTC #ETF Net Inflow June 4, 2024: +$887M! • This is the second-highest net inflow ever! 🎉 • #Fidelity (FBTC) continued to lead yesterday’s inflows with $378.7M, followed by #BlackRock (IBIT) with $275M. • #Grayscale (GBTC) also experienced an inflow again, after 9 days of zero/negative flows. • Overall, the net inflow has been positive for 16 consecutive trading days. Follow @spotonchain and check out the latest updates about #Bitcoin ETFs via https://platform.spotonchain.ai/en/signal-details/bitcoin-etf-net-inflow-update-on-june-4-2024-122018

🚨 $BTC #ETF Net Inflow May 17, 2024: +$222M! • The net inflow has been positive for this entire trading week, as the $BTC price rebounded 10.3% (7D)! • #Grayscale (GBTC) has been experiencing single-day inflows for 3 consecutive trading days. • The Bitcoin ETF with the highest single-day inflow was #Fidelity (FBTC) with $99.4M, followed by #BlackRock (IBIT) with $38.1M. Follow @spotonchain and check out the latest updates about #Bitcoin ETFs via https://platform.spotonchain.ai/en/signal-details/bitcoin-etf-net-inflow-update-on-may-17-2024-109796

🇬🇧UK Data Bill Stalls Over AI Copyright Clash The UK’s proposed Data (Use and Access) Bill has hit a critical impasse as the House of Lords pushes back against provisions that would allow AI developers to train on copyrighted material without disclosing their datasets. A Lords amendment would require transparency about training data — a move the government resists. The legislation now enters a high-stakes “ping-pong” phase between parliamentary chambers, risking collapse if consensus is not reached. This standoff is more than political choreography — it exposes the growing fracture between innovation policy and cultural rights. As the UK tries to position itself as an AI leader, lawmakers must now choose: enable opaque AI development or embed enforceable protections for creators. #AI#Copyright

🇬🇧The Tony Blair Institute Released a Report on intersection of Arts and AI The Tony Blair Institute (TBI) issued a report ‘Rebooting Copyright: How the UK Can Be a Global Leader in the Arts and AI’. The report emphasises that countries that “embrace change and harness the power of artificial intelligence in creative ways will set the technical, aesthetic, and regulatory standards for others to follow.” The authors think that “bold policy solutions are needed to provide all parties with legal clarity and unlock investments that spur innovation, job creation, and economic growth.” The TBI proposes that the solution lies not in clinging to outdated copyright laws but in allowing them to “co-evolve with technological change”. The report also delves into the disagreement between rights holders and developers on copyright, the wider implications of copyright policy, and the serious hurdles the UK’s text and data mining proposal faces. #AI#Copyright

🇺🇸Federal Judge Rejects UMG’s Injunction Against Anthropic A U.S. federal judge denied Universal Music Group’s request to block Anthropic from using song lyrics to train its AI model, Claude, citing a lack of “irreparable harm.” This decision is a setback for music publishers, who argue that Anthropic has infringed on lyrics from at least 500 songs without permission. The broader lawsuit, filed by UMG, Concord, and ABKCO, is still ongoing. While UMG remains confident in its case, Anthropic welcomed the court’s decision, calling the injunction request “disruptive and amorphous.” This ruling highlights the ongoing legal battle over AI training data and copyright enforcement in the music industry. #AI#Copyright

🇬🇧Paul McCartney urges government crackdown on AI copyright In his recent interview Paul McCartney has called on the UK government to take action against AI “ripping off” creative professionals. He also criticized proposals that would allow AI developers to use creators’ content without their consent, unless rights holders opt out. “When you’re passing a bill, make sure you protect the creative artists, or you won’t have any,” said McCartney. #AI#Copyright

USA: New Bill Proposes Disclosure of AI Training Data A proposed bill spearheaded by Rep. Adam Schiff seeks to address concerns regarding the use of copyrighted materials in training artificial intelligence models. Dubbed the Generative AI Copyright Disclosure bill, it mandates tech companies to disclose any copyrighted materials utilized in their AI training datasets. The bill requires comprehensive reports detailing the copyrighted content and associated URLs to be submitted to the Copyrights Register. Additionally, any modifications to the dataset must be reported. Companies must submit these reports at least 30 days before releasing AI models trained on the disclosed datasets to the public. While not retroactive, the bill applies to any subsequent changes made to existing AI platforms' training datasets. Although developers argue that their models are trained on publicly available data, concerns persist regarding the use of copyrighted materials without explicit consent. The bill enjoys support from various industry groups, including the Writers Guild of America, the Recording Industry Association of America, and others. Notably, the Motion Picture Association has not backed the initiative. #AI#copyright

✅ Sigue dando pasos Neomoon. Nosotros seguimos acumulando Mooners https://twitter.com/FedorSaldivia/status/1662572625678180352 #Neomoon#BTC#Lightningnetwork

Meta 或改变“开源AI策略”，对未来的AI模型收费 Meta 的下一款 AI 模型可能会改变其“开源”AI 策略，马克·扎克伯格曾称这是“前进的方向”。目前，该公司正在开发一款代号为 Avocado 的新 AI 模型，《彭博社》报道称，他们可能会对其收取使用费用。 去年，Meta 推出了开源的 Llama 4 AI 模型（对此有争议，因为开源倡议组织不同意），但发布效果不佳，Meta 被发现操控 AI 基准测试，还被迫推迟了原定的“Behemoth”版本。不过，据彭博社报道，扎克伯格为了“追求新事物”而取消了那个版本。 在 Llama 4 发布后，扎克伯格对 Meta 的 AI 团队进行了全面调整，包括在公司投资了 143 亿美元后，聘请了前 Scale AI 的首席执行官 Alexandr Wang，并投入大量资金招聘其他顶尖 AI 人才，成立了新的 Meta 超级智能实验室团队。 在 7 月 30 日关于“个人超级智能”的备忘录中，扎克伯格指出，Meta 可能需要调整其开源策略：为了降低潜在的安全风险，公司必须“慎重选择开源的内容”。 作为变革的一部分，扎克伯格现在“花费大量时间和精力与新员工紧密合作，组成一个名为 TBD 实验室的团队，”彭博社报道。这个团队位于 Meta 总部靠近扎克伯格办公室的“隔离空间”内，纽约时报也在关于公司 AI 工作的报道中提到了这一点。 🗒 标签: #Meta#AI 📢 频道: @GodlyNews1 🤖 投稿: @GodlyNewsBot

#ETH#BMNR BitMine заявила о 4,6 млн ETH на балансе BitMine (BMNR) сообщила, что на 15 марта у нее 4 595 562 ETH (оценка по $2 185 за ETH) и общий портфель «крипта + кэш + moonshots» на $11,5 млрд. Структура активов: — 4 595 562 ETH, 196 BTC — $1,2 млрд кэша — «moonshots»: $200 млн доля в Beast Industries и $83 млн доля в Eightco/ORBS Застейкано 3 040 515 ETH (оценка $6,6 млрд). Компания пишет, что при полной стейкинг-утилизации оценивает награды примерно в $272 млн в год (при 2,81% 7-дневной доходности), а текущие годовые стейкинг-доходы — $180 млн. За последнюю неделю докупили 60 999 ETH (против 45–50 тыс. ETH в среднем за неделю ранее) и отдельно упомянули покупку 5 000 ETH у Ethereum Foundation.

#ETH#BMNR Culper открыл шорт по ETH и BitMine Culper Research, фонд, который специализируется на коротких позициях, объявил ставку на снижение ETH и бумаг, завязанных на эфир, включая BitMine. Тезис Culper: после обновления Fusaka в декабре 2025 сеть получила избыток пропускной способности, из-за чего комиссии упали примерно на 90%, а вместе с ними снизилась доходность валидаторов и стейкинга. Culper также утверждает, что часть роста транзакций и активных адресов это «шум» от атак с подменой адресов, а не органический спрос. В отчете отдельно упоминаются продажи со стороны Виталика Бутерина: около 20 000 ETH с начала года (примерно $40 млн). Отдельный блок отчета про BitMine: компания, по оценке Culper, накопила около 4,4 млн ETH и находится примерно на 45% просадке, что соответствует около $7,4 млрд нереализованного убытка.

#TOTAL2 (Altcoin MarketCap) Update : #TOTAL2 kept on rising as #BTC.D given a close below of the support area, as money started flowing into altcoins. Well, Index have plenty of room to play as the next major resistance area is at $940B - $956B and structural support at$745B - $750B. In you have any position running just try to trail the stops as potentially it could move higher. By Crypto Australia