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US Senate Republicans Modify Tax Bill to Preserve Controversial AI Regulation Ban, Tying It to Broadband Funding

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Senate Republicans have modified a controversial provision in their sweeping tax bill that would restrict states from regulating artificial intelligence, after facing sharp criticism from lawmakers on both sides of the aisle — including within their own ranks.

The original House-passed version of the legislation included a blanket ten-year ban on any current or future state laws aimed at regulating artificial intelligence technologies. But after backlash from state legislators, digital rights advocates, and some federal lawmakers, Senate Republicans restructured the language in a bid to preserve the provision while making it more palatable under Senate rules and political pressure.

Under the new language unveiled Thursday night, instead of an outright ban, the bill now proposes denying federal broadband funding to states that attempt to regulate AI over the next decade. The change reframes the issue as a budgetary condition, attempting to pass constitutional and procedural muster while maintaining a deterrent effect on state legislatures.

“These provisions fulfill the mandate given to President Trump and Congressional Republicans by the voters: to unleash America’s full economic potential and keep her safe from enemies,” said Sen. Ted Cruz, chairman of the Senate Commerce Committee, in a statement defending the AI-related amendment.

The move is believed to have been buoyed by members of the Republican Party who said the federal government had no business overriding the rights of individual states to govern emerging technologies in their own jurisdictions.

Rep. Marjorie Taylor Greene, R-Ga., who had voted in favor of the bill in the House, publicly walked back her support after learning of the provision.

“We should be reducing federal power and preserving state power. Not the other way around,” she wrote on social media. Greene admitted she had not read the AI provision before casting her vote.

Several GOP state lawmakers also denounced the measure, warning it sets a dangerous precedent for centralized overreach. Some stated that the federal government should not be using funding as a weapon to coerce states into surrendering their legislative authority — especially in matters as consequential and fast-moving as AI.

The backlash reflects a deepening rift in Republican ideology: while many in the party support limited government and states’ rights, others are prioritizing a unified federal approach to technological innovation, particularly in sectors where the United States faces stiff competition from global rivals like China.

Adding to the controversy, digital safety experts and civil liberties advocates warned that stripping states of their ability to legislate AI oversight leaves millions of Americans vulnerable. They point to risks associated with bias in AI systems, facial recognition surveillance, data privacy, and automated decision-making tools increasingly deployed by businesses and law enforcement.

Despite these concerns, several leading AI executives have lobbied for a centralized regulatory framework.

However, no bipartisan agreement has emerged in Congress over how to regulate AI at the federal level. Democrats have proposed stronger consumer protections and guardrails on algorithmic use, while Republicans have focused more on fostering innovation and limiting what they view as government overreach.

To help ensure the tax bill survives the fast-track budget reconciliation process, which allows it to pass with only a simple majority, Senate Republicans altered the AI provision to tie it to federal spending. They argue the measure qualifies as budget-related rather than a purely policy-driven initiative, by threatening to withhold broadband infrastructure funds from non-compliant states. Sen. Cruz said he plans to make this case to the Senate parliamentarian, who is expected to issue a determination in the coming days.

In addition to the AI language, the tax package includes a renewal of key tax cuts from Donald Trump’s 2017 legislation, new business incentives, expanded commercial spectrum access for telecom firms, and sweeping cuts to social safety net programs.

Senators are aiming to pass the legislation by the end of June, though the future of the AI provision remains uncertain. However, the revised approach has only intensified the debate over how much authority states should retain in shaping the rules for one of the most disruptive technologies of the 21st century.

Tekedia Capital Welcomes Assistant-UI, An Innovator on Typescript/React library for AI chat

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Tekedia Capital welcomes assistant-ui to our expanding startup universe. Assistant-UI is an open-source Typescript/React library for AI chat, and it is one of the world’s finest species. Hundreds of projects use assistant-ui to build in-app AI assistants, including companies like Browser Use, Stack, and Athena Intelligence.

With >50k+ monthly downloads, assistant-ui is the most popular UI library for AI chat. But this is more than a library, assistant-ui has a backend as a service, with first class integrations into popular agent frameworks like LangGraph and Vercel AI SDK. Your chats in this agentic era are being baked with assistant-ui.

To learn more about assistant-ui and use it in your integration, go here https://www.assistant-ui.com/ and schedule to speak with Simon’s team; for Tekedia Capital, here capital.tekedia.com

China’s RedNote Joins AI Arms Race by Open-Sourcing Its LLM

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Chinese social media giant RedNote, also known by its Chinese name Xiaohongshu, has released its first large language model as open source, deepening Beijing’s push to expand its influence in artificial intelligence despite rising geopolitical barriers.

The model, called dots.llm1, was made available on developer platform Hugging Face on Friday, accompanied by a technical paper outlining its capabilities and architecture.

The move aligns RedNote with other major Chinese tech firms like Alibaba and DeepSeek that have recently adopted open-source strategies in AI. Unlike U.S. giants OpenAI and Google, which have kept their most advanced models proprietary, China’s AI developers have turned to open source not just to build credibility and developer ecosystems but also to challenge Western dominance in the rapidly evolving sector.

RedNote’s dots.llm1 is a mixture-of-experts model containing 142 billion parameters, but it only activates 14 billion parameters per query. The design prioritizes computational efficiency without significantly compromising performance. According to the company’s paper, the model was trained on over 11.2 trillion tokens of real-world data—intentionally excluding synthetic sources to improve trustworthiness and accuracy.

Benchmark tests show dots.llm1 performs competitively against Alibaba’s Qwen 2.5 series in programming tasks, while it falls short of top-tier models like DeepSeek-V3. On C-SimpleQA, a Chinese language benchmark, dots.llm1 scored 56.7—slightly below DeepSeek-V3’s 68.9, but close to Qwen2.5-72B in multilingual and mathematical evaluations.

RedNote’s research team also published intermediate training checkpoints for every trillion tokens, allowing the academic community to track the model’s learning curve over time. This transparency further distinguishes the project in a space where many companies still guard technical details.

RedNote’s open-source move comes at a critical time for China’s AI sector. With the United States maintaining strict export controls on advanced semiconductors and high-performance GPUs, Chinese firms are looking for alternative routes to assert technological leadership.

These companies are building global developer networks, strengthening diplomatic ties through technological cooperation, and asserting China’s relevance in AI policy discourse, by releasing models like dots.llm1 to the public.

The open-source strategy has proven effective for others in China’s tech ecosystem. Earlier this year, Alibaba launched Qwen 3, the latest in its series of public AI models, while startup DeepSeek released its low-cost R1 model, earning global attention for achieving strong performance at a fraction of the cost of Western counterparts.

DeepSeek’s newer V3 series has been ranked in benchmarks alongside OpenAI’s GPT-4o and Anthropic’s Claude 3.5 Sonnet. With dots.llm1 now in the open-source arena, RedNote is clearly aiming to join this elite group of Chinese innovators challenging U.S. leadership in AI.

RedNote’s Global Expansion

Best known as an “Instagram-like” social app popular among China’s Gen Z, RedNote gained wider global attention earlier this year when some American users began migrating to the platform amid fears of a TikTok ban in the U.S.

The company has since opened an overseas office in Hong Kong and expanded its product offerings. Its AI strategy includes Diandian, a new AI-powered search assistant that helps users navigate Xiaohongshu content—an indicator that the firm is preparing for more global and AI-integrated products.

Since 2023, shortly after OpenAI launched ChatGPT, RedNote has stepped up investment in large language models. Dots.llm1 is its most ambitious public AI initiative to date.

The release of dots.llm1 has added to a growing perception that China is moving quickly—and openly—to compete in AI development, despite export bans and geopolitical tension. With more Chinese firms embracing open source, the global AI industry is becoming more distributed and competitive.

While American firms like Meta have also pursued open-source models, many others have opted for closed systems, citing safety and competitive concerns. RedNote’s entry into open-source AI deepens the divide between the American and Chinese approaches to AI deployment, governance, and access.

But it may also force global policymakers and tech leaders to reckon with a more multipolar future for artificial intelligence—one where China, with or without U.S. semiconductors, plays a central role in shaping how machines learn and reason.

As developers begin experimenting with dots.llm1 and creating finetuned derivatives, RedNote’s strategy could further shift the momentum in favor of open access, and in doing so, extend China’s soft power in digital infrastructure.

Implications of Vanadi Coffee’s $1.1B Bitcoin Acquisition Plan

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Vanadi Coffee SA, a Spanish coffee chain, has proposed a plan to invest approximately $1.1 billion (€1 billion) in Bitcoin, aiming to pivot from a traditional coffee business to a “Bitcoin-first” company. This strategy, led by Chairman Salvador Martí, is inspired by MicroStrategy’s approach to accumulating Bitcoin as a treasury reserve asset. The proposal, which involves raising funds through stock issuance and convertible financing, is set to be reviewed by the board on June 29, 2025.

Vanadi’s move comes amid financial struggles, with the company reporting a $3.7 million net loss in 2024, exceeding its annual revenue of $2.28 million, and a 91% drop in its stock price (VANA) since its July 2023 IPO. Martí already tested the strategy by purchasing 5 BTC for $527,110, which briefly boosted the stock price by 22% before it fell back to €0.28 ($0.32) as Bitcoin’s price dropped from $111,000 to $105,000. This volatility highlights the risks of tying the company’s financial health to Bitcoin’s price fluctuations.

While some see this as a bold move to capitalize on Bitcoin’s potential as a hedge against inflation and attract tech-savvy investors, critics like Jacob King of WhaleWire argue it’s a publicity stunt, noting Vanadi’s small scale (six locations) and limited online presence. The plan’s success hinges on shareholder approval and Bitcoin’s market performance, with analysts projecting potential BTC price targets of $114,000–$120,000 if bullish trends continue. However, the European regulatory environment and Bitcoin’s volatility pose significant risks.

Vanadi Coffee’s audacious plan to invest $1.1 billion in Bitcoin signals a radical shift in its business model, with far-reaching implications for the company, its stakeholders, and the broader mmarket. Bitcoin’s price volatility (e.g., recent drop from $111,000 to $105,000) could destabilize Vanadi’s financial position, especially given its 2024 net loss of $3.7 million against $2.28 million in revenue. A significant Bitcoin price crash could exacerbate losses.

The initial 22% stock price surge after purchasing 5 BTC shows market sensitivity to Bitcoin moves, but the subsequent drop to €0.28 reflects skepticism and volatility risks. A $1.1 billion bet could amplify these swings. Raising €1 billion through stock issuance and convertible financing may dilute existing shareholders’ equity and strain liquidity, especially for a company with only six locations and limited operational scale.

By emulating MicroStrategy, Vanadi aims to reposition itself as a crypto-focused entity, potentially attracting a new investor base (crypto enthusiasts, hedge funds). This could diversify its revenue streams beyond coffee sales. The move could enhance Vanadi’s brand among tech-savvy consumers but risks alienating traditional customers and investors wary of crypto’s speculative nature. European regulators, particularly in Spain, may impose stricter oversight due to Bitcoin’s association with financial instability and money laundering concerns, potentially complicating Vanadi’s operations.

A $1.1 billion Bitcoin purchase could drive short-term price increases, especially if executed during a bullish market (analysts project BTC at $114,000–$120,000). However, Vanadi’s small scale limits its influence compared to larger players like MicroStrategy. Success could inspire other small- to mid-sized firms to adopt Bitcoin as a treasury asset, accelerating corporate crypto adoption. Failure, however, could deter similar moves and reinforce skepticism.

Approval on June 29, 2025, will depend on shareholder confidence in Bitcoin’s long-term value versus Vanadi’s operational struggles. Dilution from stock issuance could spark dissent. A shift to a Bitcoin-first model may require operational changes, potentially affecting jobs or customer experience if resources are diverted from core coffee operations. Vanadi’s plan has sparked a polarized debate, reflecting broader tensions around corporate Bitcoin adoption:

Bitcoin maximalists and investors like those on X (e.g., posts citing MicroStrategy’s success) view this as a visionary move to hedge against inflation and fiat devaluation. They argue Bitcoin’s potential upside (e.g., projected $120,000 price) could transform Vanadi’s financial outlook. The strategy could attract younger, crypto-friendly investors, boosting Vanadi’s market relevance despite its small size.

Supporters believe Bitcoin’s integration could modernize Vanadi’s brand, making it a pioneer in blending traditional business with crypto innovation. Analysts like Jacob King (WhaleWire) call it a “publicity stunt,” arguing Vanadi’s $2.28 million revenue and six locations lack the scale for a $1.1 billion crypto bet. Critics highlight the risk of insolvency if Bitcoin crashes. Shareholders wary of crypto’s volatility and Vanadi’s 91% stock price drop since its 2023 IPO may see this as a desperate gamble rather than a strategic pivot.

Critics note Europe’s cautious stance on crypto, with potential for regulatory pushback or penalties that could hinder Vanadi’s plan. The divide reflects differing views on Bitcoin’s role in corporate finance—innovative asset versus speculative gamble. Vanadi’s success will depend on. Executing purchases during a Bitcoin bull run could validate supporters, while a bear market could embolden critics. Clear communication about risk management (e.g., hedging strategies) could ease shareholder concerns.

Maintaining coffee operations while integrating Bitcoin will be crucial to avoid alienating customers and employees. Ultimately, Vanadi’s move is a high-stakes experiment that could either redefine its future or underscore the risks of tying a small business to a volatile asset. The June 29, 2025, board decision will be pivotal in determining which side of the divide prevails.

From Leader to Laggard: Tesla’s Struggles

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April 2025 was one of Tesla’s worst months in Europe in recent years — the company’s sales collapsed by 49% compared to the same period last year.

At the same time, the overall electric vehicle market in the region, by contrast, is showing steady growth: in the first four months of 2025, sales of new electric vehicles increased by 26.4% (to 558,262 units), and in April alone, the increase was 34.1%. The share of electric vehicles in the EU has reached 15.3%, but Tesla seems to be staying away from this boom.

Tesla CEO Elon Musk continues to be one of the most controversial figures in the business. His political statements and harsh rhetoric on social media alienate some European consumers, for whom ESG principles and corporate social responsibility play an important role.

Unlike in the United States, where Musk retains a loyal audience, his image works against the brand’s European presence. Tesla is no longer perceived as a green startup, but is associated with Musk’s politicized business, which reduces its attractiveness to environmentally oriented buyers.

Another key reason for the drop in demand for Tesla is the rapid growth of hybrid cars, especially from China. In Europe, their share has already reached 35%, and Chinese manufacturers are actively increasing their presence, taking advantage of the absence of increased duties on hybrids unlike electric vehicles.

Tesla does not offer hybrids, relying solely on all-electric models. With European consumers increasingly choosing plug-in hybrids (PHEVs) due to their versatility and freedom from charging concerns, Tesla is losing customers.

Trade wars compound Tesla’s problems. The company contacted Trump’s administration with a warning about the risks of imposing duties on imported chips. Tesla fears supply disruptions and cost increases, which could hit its profits.

TSMC, one of the key suppliers of chips for Tesla, has sent a letter to the US authorities warning that the new tariffs could derail plans to build factories in Arizona worth $165 billion. Tesla, in turn, recognizes that without international partners in North America, Europe, Africa, and Asia, it cannot effectively develop high-tech production. The letter notes that restricting the import of chips not produced in the United States in sufficient volume will create problems at a crucial moment in the global race for artificial intelligence.

The threat of new tariffs already affects the market: ES Futures show increased volatility, and automatic trading reinforces negative trends. If restrictions are imposed, Tesla may face a new round of price pressure, further reducing its competitiveness in Europe and causing a further Tesla stock price decline.

A 49% drop in sales is an alarming signal. The European market remains key for electric vehicles, but Tesla is losing ground due to Musk’s political image and rising competition with Chinese hybrids. The risks associated with trade wars also add pressure.

The company seeks to adjust its marketing campaign, strengthen dealer networks, and possibly consider launching a European hybrid model. Otherwise, its market share will continue to decline, giving way to Chinese brands and traditional auto giants that are actively increasing the production of electric vehicles.

While Tesla is looking for an answer to these challenges, investors are closely watching its next steps — they will determine whether the company can regain lost ground.