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Alibaba leads $290m investment for Shengshu Vidu AI world model

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Markets will soon go back to being driven by AI investment, says Aperture’s Peter Kraus

A mechanical hand is on display at the Robot Mall, world’s first embodied intelligent robot 4S store, on August 13, 2025 in Beijing, China.

Vcg | Visual China Group | Getty Images

BEIJING — Alibaba Cloud is investing in a new type of artificial intelligence designed to better replicate the real world using a different approach from chatbots such as OpenAI’s ChatGPT.

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The shift recognizes the limits of “large language models” trained primarily on text. Instead, developers are starting to focus more on “world models” built on videos and real-life physical scenarios.

To jump on the trend, Alibaba led a 2 billion yuan ($290 million) investment in ShengShu, the startup behind the AI video generation tool Vidu, the company announced Friday. TAL Education and Baidu Ventures also participated in the series B funding round.

The investment comes about two months after ShengShu raised 600 million yuan from Qiming Venture Partners and other backers. The startup declined to disclose its valuation.

ShengShu said the latest funding will support the development of a “general world model” that uses AI to bridge two currently separate domains: the digital world of games and AI-generated video, and the physical world of autonomous driving and robots.

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“ShengShu believes that a general world model, built on multimodal data such as vision, audio, and touch, more naturally captures how the physical world works than large language models,” the three-year-old startup said in a statement.

Markets will soon go back to being driven by AI investment, says Aperture’s Peter Kraus

“We aim to connect perception and action,” Zhu Jun, founder of ShengShu, added in a statement, allowing AI systems to better model and predict real-world behavior consistently.

ShengShu’s latest Vidu Q3 Pro model, released in January, ranks among the top 10 AI models for generating videos from text and images, according to Artificial Analysis.

The company launched Vidu globally months before OpenAI made its now-shuttered Sora tool for AI video generation widely available. Chinese short-video companies Kuaishou and ByteDance have also released similar competing AI tools for generating videos.

World model competition

Alibaba has expanded its investments in related startups.

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The Chinese tech giant and Baidu Ventures last month led a $50 million investment in Tripo AI, a platform that uses AI to quickly generate digital 3D models from photographs. Tripo said it is also moving away from techniques used by language models toward AI tools grounded in physical space and is developing its own world model.

In September, Alibaba also led a $60 million investment in PixVerse, which released an AI world model earlier this year that allows users to direct how a video unfolds while it is being generated.

Alibaba, which got its start in e-commerce, has also released free, open-source AI models for video generation and, in February, launched one for powering robots.

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Shengshu said Friday it has strategic partnerships with companies developing embodied AI — systems such as humanoid robots that interact with the physical world — for use across industrial, commercial and home settings.

World models are critical for robotics because the technology needs more than LLMs to work, Kevin Kelly, co-founder of the U.S. tech magazine Wired, wrote last month on his Substack.

Ultimately, to replicate human intelligence, AI will need three things: reasoning, an understanding of the physical world and continuous learning, Kelly said. While AI for the learning category hasn’t been developed yet, LLM-powered chatbots have created the knowledge element, he said, making world models a key area requiring a breakthrough.

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SEC chair says agency is ready to implement CLARITY Act once Congress acts

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SEC chair backs “minimum effective dose” disclosure and targeted tokenization pilots

SEC chair Paul Atkins says “Project Crypto” means the SEC and CFTC are ready to implement the CLARITY Act as soon as Congress passes comprehensive market‑structure reforms.

Summary

  • SEC chair Paul Atkins says “Project Crypto” is designed so SEC and CFTC can implement the CLARITY Act as soon as Congress moves.
  • Treasury Secretary Basant has urged lawmakers to advance comprehensive market‑structure safeguards to President Trump’s desk.
  • The comments signal regulators are aligning around a post‑CLARITY operating framework, putting pressure back on Congress.

U.S. Securities and Exchange Commission (SEC) chairman Paul Atkins has signaled that the agency considers itself operationally ready to implement the long‑discussed CLARITY Act, once Congress passes the underlying legislation. In a post on social media, Atkins said “the design goal of Project Crypto is that once Congress takes action, the SEC and CFTC will be ready to implement the CLARITY Act,” describing the work as a joint preparedness effort rather than a theoretical exercise. The comment suggests regulatory staff have already mapped out rulemaking, supervision, and enforcement workflows for a future in which digital assets sit under a clearer statutory framework.

Atkins explicitly aligned his remarks with Treasury, backing recent comments by Treasury Secretary Basant that “it’s time for Congress to plan for future regulatory safeguards and advance comprehensive market structure legislation to President Trump’s desk.” Framed together, the statements amount to a coordinated nudge from market regulators and Treasury: the bottleneck is now legislative, not administrative. The reference to “comprehensive market structure legislation” implies that CLARITY is being treated less as a narrow crypto bill and more as a broader rewrite of how digital assets, intermediaries, and trading venues are slotted into U.S. securities and commodities law.

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CLARITY Act heading to Congress

For the crypto industry, the message cuts in two directions. On one side, a prepared SEC‑CFTC “Project Crypto” environment could bring long‑sought certainty on when tokens are treated as securities, which venues qualify as exchanges, and how custodians, brokers, and stablecoin issuers are supervised. On the other, a ready‑to‑deploy framework also means that once Congress acts, the implementation phase could move faster than some market participants expect, leaving less room to adjust business models mid‑stream. With both the SEC and Treasury now publicly stressing readiness and urging Congress to “plan for future regulatory safeguards,” the next move belongs to lawmakers – and the eventual shape of the CLARITY Act will determine whether this regulatory preparedness feels like relief or whiplash.

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Bittensor’s TAO Leads Crypto Losers After Key Subnet Operator Departs

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The crypto market rose by over 1.4% over the past day. However, Bittensor (TAO) missed the market-wide recovery.

The token dropped over 9% over the past 24 hours. The decline made TAO the worst-performing top-100 cryptocurrency by market cap. At press time, it traded at $292.

Bittensor (TAO) Price Performance
Bittensor (TAO) Price Performance. Source: BeInCrypto Markets

The selloff followed Covenant AI’s announcement that it is leaving the Bittensor network. The team operated three subnets, Templar (SN3), Basilica (SN39), and Grail (SN81), making it one of the protocol’s most prominent contributors.

Sam Dare, the founder of Covenant AI, cited concerns about decentralization as the reason for the departure. In a public statement, Dare accused Bittensor co-founder Jacob Steeves of exercising centralized control over what is marketed as a decentralized network.

Specifically, Covenant AI alleges that Steeves suspended emissions to its subnets, stripped its moderation access over its own community channels, unilaterally deprecated its subnet infrastructure, and applied economic pressure through strategically timed token sales.

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“We cannot in good conscience continue to build on a network where the foundational claim we make to our investors, that this infrastructure is decentralized and permissionless, is contradicted by the reality of how the network is actually governed,” Dare wrote. “Bittensor operates a triumvirate structure, three individuals who manage the multisig for network upgrades, presented to the community as distributed governance. It is not. It is decentralization theatre.”

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The exit marks a dramatic shift in sentiment. Covenant AI’s Covenant-72B model was previously a key trigger for a significant TAO rally. The altcoin appreciated after NVIDIA CEO Jensen Huang referenced the model during an appearance on the All-In Podcast.

Despite leaving Bittensor, Covenant AI said it will retain its research team, existing work, and the models. The company indicated that new project announcements are expected soon.

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“Covenant AI’s mission has not changed. Decentralized, permissionless AI training is not a Bittensor feature. It is a technological capability that our team is eager to advance,” the post added.

Whether the departure triggers further governance debate within the Bittensor community remains to be seen in the days ahead.

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The post Bittensor’s TAO Leads Crypto Losers After Key Subnet Operator Departs appeared first on BeInCrypto.

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xAI sues Colorado to block AI law targeting chatbot speech

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Latest AI news: China's MizarVision aids Iran

Elon Musk’s xAI is taking Colorado to court over a new set of regulations designed to govern artificial intelligence.

Summary

  • xAI has filed a lawsuit against Colorado to block Senate Bill 24-205 which would mandate rules against discrimination in AI systems used for jobs and housing.
  • The company argues that the state is attempting to force its own political views onto the Grok chatbot and is interfering with its goal to be a truth-seeking platform.

The lawsuit, filed in a US district court on Thursday, seeks to stop Senate Bill 24-205 from taking effect. This law was created to prevent “algorithmic discrimination” by AI in sensitive sectors such as housing, finance, and employment.

The legal challenge centers on the idea that the state is overstepping its bounds by influencing how AI models communicate. 

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In the court filing, xAI claimed that “Colorado cannot alter xAI’s message simply because it wants to amplify its own views on the highly politicized subjects of fairness and equity.” The company also noted that the mandate would hinder its mission for Grok to be “maximally truth seeking.”

Legal representatives for xAI pointed out what they see as a contradiction in the bill, which is scheduled to start on June 30. They argued that the law actually encourages “differential treatment” under the guise of trying to “increase diversity or redress historical discrimination.”

Last December, xAI sued California over the Generative AI Training Data Transparency Act. In that case, the company argued that being forced to disclose data sources violates the First and Fifth Amendments by revealing trade secrets and compelling specific types of speech. 

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Amidst these state-level fights, some federal officials are calling for a change in how the industry is managed. 

David Sacks, the White House AI czar and co-chair of the President’s Council of Advisors on Science and Technology, has been vocal about the need for a national standard.

“The problem that we’re seeing right now is that you’ve got 50 different states regulating this in 50 different ways, and it’s creating a patchwork of regulation that’s difficult for innovators to comply with,” Sacks stated in late March.

President Donald Trump appointed Sacks as co-chair of the newly established President’s Council of Advisors on Science and Technology to help streamline these rules and prevent a fragmented legal landscape across the country.

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Trump recently signed an executive order aimed at centralizing these policies, with the goal of “nationalizing AI policy in place of the current patchwork of state laws.” 

The administration has signaled that state-level mandates requiring AI to alter its output could be viewed as an obstruction to national interests and American leadership in the sector.

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Why is Bitcoin price stuck today?

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CME Bitcoin futures open with second-largest gap on record

Bitcoin’s push past $73,000 quickly lost steam as the market shifted focus back to a shaky truce between the U.S. and Iran.

Summary

  • Bitcoin failed to hold above $73,000 as Iran tensions and weak US data weighed on sentiment.
  • Oil near $97 and a 0.4% rise in core PCE added pressure on risk assets.

While a brief rally took place after rumors surfaced that Iran might accept Bitcoin as payment for cargo ships moving through the Strait of Hormuz, the excitement faded. Investors are now worried that geopolitical friction could undo the progress Bitcoin has made in the U.S. market recently.

Tensions flared when Iranian parliamentary speaker and former IRGC general Mohammad Bagher Ghalibaf criticized the ongoing military actions in Lebanon. 

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Ghalibaf, a key figure in the regime, warned that any “illegal entry” or “denial of uranium enrichment” would be seen as a move to “violate the ceasefire” and could trigger a larger conflict.

This instability pushed crude oil prices back up to $97 per barrel. Rising energy costs typically pull money away from speculative assets like crypto as investors become more cautious about risk. 

However, the pressure isn’t just coming from overseas; data from the U.S. Bureau of Economic Analysis showed that the core PCE index rose by 0.4% on Thursday. This suggests that inflation is stickier than expected, making it harder for the Federal Reserve to pivot.

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Economic growth is also slowing down significantly. The fourth quarter GDP was revised down to a tiny 0.5% annualized rate, signaling that the economy is almost at a standstill. 

Usually, signs of stagnation lead traders to expect the government to step in with more liquidity, but this time, the data has sparked genuine fear. A lack of faith in the plan to avoid a recession has already softened the U.S. dollar against a basket of other major currencies.

Will Bitcoin price go up?

Currently, Bitcoin is stuck in an awkward spot between these two narratives. It is trying to find a clear path while being pulled by war headlines on one side and a possible economic crash on the other. This lack of direction is visible on the charts, as the price struggles to stay above $72,000.

For the rally to continue, Bitcoin needs to chew through a massive wall of selling pressure. There are roughly $6 billion in leveraged short positions sitting between $72,200 and $73,500. Even though yesterday’s rally cleared $427 million in these bets, the remaining sell orders are acting as a heavy lid on the price.

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Bitcoin needs to firmly break $73,000 and turn that level into support before it can chase new highs. If it fails to clear this liquidity soon, traders may lose heart and start taking profits, which could easily send the price sliding back toward $68,000.

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

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90% of New CEX Token Listings Fall Below Debut Price Within a Year, Report Finds

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A new CoinGecko report found that roughly 90% of newly listed altcoins on top centralized exchanges fall below their listing price within 12 months.

The findings paint a grim picture for retail buyers chasing new token listings across the industry’s biggest trading platforms.

Most New Altcoin Listings Lose Value Fast

According to the report, only about 32% of new altcoin listings record positive price action immediately after going live across the top 12 centralized exchanges (CEXs). That means nearly two out of three tokens start losing value from the moment they begin trading.

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Altcoin Performance Post Listing
Altcoin Performance Post Listing. Source: CoinGecko

Exchange-level data reveals sharp differences in early performance. Upbit stood out with 67% of its listings showing gains 30 days after debut, though CoinGecko noted that the South Korean exchange has one of the lowest listing rates. Binance followed at 50%, while Kraken and Gate trailed at just 14%.

However, those early gains faded quickly. By days 30 to 59, only 25% of tokens remained in positive territory on average.

“Across longer time frames, this percentage declines somewhat linearly across all exchanges. The only exception is Coinbase, whose listed coins catch a second wind after the half-year mark of being listed on the exchange,” the report read.

Even Upbit’s Winners Eventually Lose

Upbit’s trajectory tells the most striking story. Despite starting with the strongest 30-day performance, every one of its newly listed altcoins fell below its debut price by the 300- to 329-day mark.

That 67% to 0% collapse suggests early gains were driven by hype and limited supply rather than sustainable demand. By the 12-month mark, fewer than 10% of listed tokens on most top exchanges remained above their listing price.

Ultimately, the data reveals a consistent pattern: hype-driven rallies around new listings rarely translate into lasting value. While some tokens see short-term gains, the vast majority struggle to sustain momentum beyond the initial trading window.

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The post 90% of New CEX Token Listings Fall Below Debut Price Within a Year, Report Finds appeared first on BeInCrypto.

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Musk’s xAI Sues Colorado over AI Law

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Musk’s xAI Sues Colorado over AI Law

Elon Musk’s artificial intelligence company, xAI, has filed a lawsuit against the state of Colorado, seeking to block incoming AI rules that restrict speech from AI chatbots like Grok.

The AI company is specifically challenging Colorado’s Senate Bill 24-205, which aims to protect AI users from “algorithmic discrimination” in areas like employment, housing and finance. 

However, in a filing to a US district court in Colorado on Thursday, xAI argued that “Colorado cannot alter xAI’s message simply because it wants to amplify its own views on the highly politicized subjects of fairness and equity.”

The company further argued that the law, set to take effect on June 30, is contradictory as it promotes “differential treatment” in an effort to “increase diversity or redress historical discrimination.”

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Forcing xAI to change Grok would also interfere with its goal of being “maximally truth seeking,” it said.

Source: David Sacks

Colorado isn’t the first state that xAI has sued over AI regulations. In December, it sued California over its Generative AI Training Data Transparency Act, arguing that disclosure requirements compel speech and reveal trade secrets in violation of the First and Fifth Amendments.

Related: AI agents overwhelmingly prefer Bitcoin over fiat in new study

The Colorado and California AI laws come after accusations of Grok making racist, sexist and antisemitic comments in the past.

AI rules should be left to federal regulators: David Sacks

White House AI czar David Sacks has led a push for state regulators to steer clear of crafting AI rules, arguing for a single federal standard for AI instead of a “patchwork” of state laws.

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“The problem that we’re seeing right now is that you’ve got 50 different states regulating this in 50 different ways, and it’s creating a patchwork of regulation that’s difficult for innovators to comply with,” Sacks said in late March.

Sacks was appointed as co-chair of the newly established President’s Council of Advisors on Science and Technology to address that issue.

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