By the TensorMax editorial team
· Drawing from sources across the AI industry
Today's top story
regulatory action
The US Congress has passed a bill that bans corporate ownership of most existing single-family homes, with a limit of 350 homes per investor.
Why it matters. This regulatory action matters because it addresses the growing concern of corporate ownership of single-family homes, which has been driving up housing costs and making it difficult for individuals to purchase homes. The bill's passage is a significant win for advocates of affordable housing and marks a shift in the government's approach to regulating the housing market. With roughly 70 million existing single-family homes effectively off-limits to big business, this legislation has the potential to make a substantial impact on the housing market and provide more opportunities for individuals to own homes.
The US Congress has passed a bill that bans corporate ownership of most existing single-family homes, with a limit of 350 homes per investor. This legislation is the result of a bipartisan effort, with President Trump, Senator Elizabeth Warren, and Senator Tim Scott all playing a role in its passage. The bill aims to address the issue of corporate ownership of single-family homes, which has been driving up housing costs and making it difficult for individuals to purchase homes. According to a study by the Federal Trade Commission, institutional ownership of single-family homes is regionally concentrated, with investors buying up properties in particular cities. The bill's passage is a significant win for advocates of affordable housing and marks a shift in the government's approach to regulating the housing market. However, there are still some caveats to the bill, including exemptions for new housing construction and the 'Build to Rent' sector. Despite these limitations, the legislation is expected to have a substantial impact on the housing market and provide more opportunities for individuals to own homes. The bill is likely to be signed into law later this summer, and its effects will be closely watched by housing advocates and industry stakeholders alike. As the housing market continues to evolve, it will be important to monitor the impact of this legislation and determine whether it is effective in addressing the issue of corporate ownership of single-family homes. Additionally, the bill's passage may have implications for the broader economy, as it could help to reduce housing costs and make it easier for individuals to purchase homes, which could have a positive impact on consumer spending and economic growth. The bill's impact on the 'Build to Rent' sector will also be worth watching, as it could potentially disrupt the business models of companies that have invested heavily in this area. Overall, the passage of this bill is a significant development in the housing market, and its effects will be felt for years to come.
More from today
research paper
Why it matters. The growth of Chinese-language phishing services poses a significant threat to global cybersecurity, as these services are becoming increasingly sophisticated and effective in exploiting vulnerabilities and stealing sensitive information. The fact that these services are now using advanced tactics such as real-time interception and tokenization, and are leveraging AI-powered tools to automate their operations, makes them a major concern for individuals and organizations alike. Furthermore, the fact that these services are often designed to target the general public, rather than specific organizations, means that everyone is at risk of being targeted.
model release
Why it matters. DeepSeek's decision to lower its V4 Pro API prices by 75% is significant because it makes its AI model more competitive in the market. With a new price point of $0.435 per 1 million input tokens and $0.87 per 1 million output tokens, DeepSeek is poised to attract more customers and gain a larger market share. This move is also likely to put pressure on other AI companies to reduce their prices, potentially leading to a price war in the industry. As a result, AI operators, founders, and investors should pay close attention to this development and consider how it may impact their own businesses.
enterprise adoption
$30B
Why it matters. Anthropic's partnership with the Vatican marks a significant shift in the company's approach to AI development and regulation. By acknowledging the need for outside scrutiny and oversight, Anthropic is recognizing the potential risks and consequences of unchecked AI growth. This move may set a precedent for other AI companies to follow, and could lead to increased collaboration between the tech industry and regulatory bodies. With Anthropic's valuation potentially reaching $900bn, their stance on AI oversight could have far-reaching implications for the industry as a whole. The company's willingness to engage with religious leaders, governments, and civil-society institutions may also help to build trust and credibility with stakeholders who are increasingly concerned about the impact of AI on society.
regulatory action
Why it matters. Pope Leo XIV's encyclical on AI is a significant event in the AI ecosystem, as it marks a powerful foray by the leader of the Roman Catholic church into the debate about the misuse or overuse of artificial intelligence. The Pope's call for AI regulation and his warning about the technology's dangers will likely have an impact on the global AI policy debate, and may influence the development of AI regulations in various countries. This is particularly relevant for AI operators, founders, and investors, as it may affect the way they develop and deploy AI technologies. With the Pope's encyclical, the AI community may need to prepare for increased scrutiny and potential regulatory changes, which could impact their business models and strategies.
enterprise adoption
Why it matters. The cancellation of Claude Code licenses by Microsoft, one of the world's largest software companies, signals a significant shift in the enterprise AI market. With the constant use of AI coding tools breaking the unit economics, companies are being forced to reevaluate their procurement models. This move by Microsoft indicates that the era of unlimited access to AI coding tools is coming to an end, and enterprises will need to adopt more sustainable models, such as capped budgets and tiered access, to manage the costs of these tools. The fact that Uber, another major company, has already burned through its entire planned 2026 AI coding budget in just four months, highlights the urgency of this issue. As the AI market continues to evolve, companies will need to find ways to balance the benefits of AI-powered productivity with the rising costs of these tools.
funding event
Why it matters. The fact that Uber, a major company, has burned through its entire planned 2026 AI coding budget in just four months, highlights the significant costs associated with using AI coding tools. With individual engineers spending between $500 and $2,000 per month on tokens, the costs can quickly add up. This issue is not unique to Uber, as Microsoft has also canceled its Claude Code licenses due to high costs. The rising costs of AI coding tools are forcing companies to reevaluate their procurement models and adopt more sustainable solutions. As the AI market continues to evolve, companies will need to find ways to balance the benefits of AI-powered productivity with the rising costs of these tools. The burn rate of Uber's AI coding budget is a significant signal that the enterprise AI market is undergoing a significant shift, and companies will need to adapt to the new reality of AI-powered productivity.
Catch up quick
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Pope Leo XIV releases encyclical letter 'Magnifica Humanitas' on safeguarding human person in the time of artificial intelligence
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Google Deepmind releases AlphaProof Nexus, a framework that solves decades-old math problems for a few hundred dollars
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SpaceX files for IPO with a valuation target of $1.75 trillion, potentially the largest in American history
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Google announces AI makeover for search, claiming 'search as you know it is over'
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Gartner positions GitHub as a Leader in the 2026 Magic Quadrant for Enterprise AI Coding Agents for the third consecutive year
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SpaceX targets $26.5 trillion potential market opportunity in upcoming IPO
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Huawei announces Tau Scaling Law to develop 1.4nm-class chips by 2031
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ByteDance's Seedance 2.0 AI model generates feature-length films at a fraction of traditional costs, premiering at Cannes Film Festival
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CiteVQA benchmark reveals AI models struggle with accurate source citations, with top models Gemini-3.1-Pro-Preview and GPT-5.4 scoring 76 and 59 respectively
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Anthropic projects $10.9 billion in revenue for the second quarter of 2026, with an operating profit of $559 million
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Researchers find geopolitical bias in large language models originates in post-training, not pre-training, and is amplified by prompt language
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Russia introduces new jet-powered attack drone, Geran-4, in response to Ukrainian interceptors
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A Ukrainian crew used an Italian B1 Centauro tank destroyer to strike a house 6.9 miles away, demonstrating the vehicle's capabilities in indirect fire.
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Token prices for AI models have collapsed over four years, while demand has increased due to elastic consumption, with the number of tokens processed per quarter growing 17,000x
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European VC funds have tripled in size since 2016, with the median fund size increasing to $105 million
Also on the desk
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