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Nearly 90% of universities have discarded standardized testing, up from 50% before the Supreme Court's race ban, enabling admissions for unprepared students. High school A/A+ grades doubled in 10 years, with 79% of Yale students earning straight A's.
Peter St Onge attributes the Canadian manufacturing exodus to Trump's tariffs and Canadian policies that raised taxes and red tape, stifling oil reserves 20 times larger than the US on a per capita basis. Business investment collapsed by a third in Canada while doubling in the US.
Ben Horowitz argues that open-source models are critical for AI safety and preventing a single AI monopoly, emphasizing the need for broad AI access. He cites historical precedents like the internet and Linux being safer than Windows.
NVIDIA released an open letter, "OpenWates in American AI leadership," advocating for open-source AI, which was co-signed by Andreessen Horowitz and other prominent companies.
Ben Horowitz considers open-source AI the single most important policy issue, framing the debate as an anti-competitive stance, often cloaked in safety concerns, versus promoting open models.
Ben Horowitz states that banning open-source technology, similar to past attempts to ban cryptography, is impossible because the underlying principles are public, though restrictions could prevent legitimate use.
Ben Horowitz identifies a significant, well-funded effort, particularly from Anthropic, to ban open-source AI, comparing it to historical attempts by intelligence communities to control cryptography.
Ben Horowitz refutes claims that open-source AI poses unique national security risks from China, arguing such threats are general. He asserts an AI monopoly is a far greater risk, citing Anthropic's refusal to cooperate with the U.S. government.
Ben Horowitz agrees with Aaron Levy that distillation, or training on AI model outputs, is generally legal because AI outputs lack copyright protection. He notes Anthropic paid $1.5 billion in a class-action lawsuit for using copyrighted books in training data.
Ben Horowitz states open source AI is vital for application developers, as proprietary model providers like Anthropic could replicate Microsoft's old playbook by entering application categories and subsidizing their own offerings, while overcharging rivals.
Ben Horowitz warns that monopolistic AI futures, where a single company automates its AI research and rapidly gains capabilities, threaten a pluralistic startup ecosystem; open models offer the best defense.
Immigration has been used to stabilize low pay by creating an oversupply of workers for poor jobs, Lisa McKenzie argues, noting this also normalizes state benefits for low-wage earners, effectively subsidizing employers.
Peter McCormack suggests corporations extensively lobby to allow high volumes of foreign workers, especially in service sectors like hotels and restaurants, to keep wages down.
Keith Gildart attributes the decline of the trade union movement as a major feature in dismantling the working-class world, while Peter McCormack supports collective bargaining but not unions trading votes for specific policies.
The global monetary base, which topped $30 trillion in 2021, now stands at approximately $26 trillion, reflecting a period where central banks globally have reduced money printing since the pandemic, a trend potentially influenced by Basel III initiatives.
Carl Casarta notes that gun and ammunition sales typically spike before elections due to fear of bans, but current prices for common firearms like AR-15s and pistols are notably low compared to November 2020, even with inflation.
Carl Casarta recommends AR-15s for most people's defensive needs, citing their lightweight design, low recoil, and ease of use with minimal training, despite being a common target for gun control legislation.
Carl Casarta notes that a pump-activated shotgun remains a viable option for home defense, as it is largely legal across state lines and tends to evoke less scrutiny in court than an AR-15, but still requires aiming and specific training.
Calshi is regulated by the Commodity Futures Trading Commission (CFTC) as a platform for trading financial derivatives, not gambling, while Polymarket was fined $1.4 million by the CFTC in 2022 for operating as an unregulated exchange and was banned from US users until recently.
Polymarket has seen significant growth, with monthly trading volume increasing from $3 million in April 2023 to $3.7 billion in the last month, driven by US presidential election betting despite bans in several countries.
Shane Copeland, Polymarket CEO, believes insider trading can be beneficial for prediction markets by increasing accuracy, despite the lack of clear regulatory mechanisms or protections for users and the encouragement of such behavior.
Donald Trump Jr. became a strategic advisor at Calshi in January 2025 and later his venture capital firm invested in Polymarket, shortly after which the CFTC announced it would allow Polymarket to operate in the United States.
Nate Silver acknowledges the inevitability of insider trading in political betting, comparing it to crypto kidnappings or congressional stock trading, and suggests that market incentives will always drive individuals to find advantages.
Adam Curry is critical of a new industry group's private approach to defining podcast metrics, arguing that their focus on advertiser needs rather than listeners leads to confusing, unauditable play definitions (30 or 60 seconds).
Japan's universities have less experience with IP transfer for deep tech startups compared to overseas; common methods for universities to gain equity include stock options, royalties, or cash payments.
Moonshot AI's Kimi K3, a 2.8 trillion parameter open-weight model, surprised US labs with its performance at a fraction of the cost. Treasury Secretary Scott Bessent and Michael Kratios proposed sanctioning China over alleged intellectual property theft, while Nvidia CEO Jensen Huang advocated against banning Chinese models.
Alex and Dave Blundon highlight the legal question of whether AI models compressing human knowledge constitute a "transformative act" under copyright law, a core issue in ongoing litigation against Anthropic.
Salim Ismail states open models distribute capabilities to the edge, fostering innovation by allowing small teams access to powerful tools. Alex notes Anthropic's revenue growth is plateauing, possibly due to compute or regulatory constraints, indicating challenges for closed models.
Michael Kratios' White House report proposes a restructuring of US science funding, shifting billions from traditional university research to AI programs like the $5 billion Genesis mission. This plan prioritizes individual scientists, fast grants, and national scientific goals over institutional consensus.
Dave Blundon notes institutional resistance to science funding changes from universities like MIT and Harvard. Alex argues the 80-year-old academic-industrial-government complex is inefficient, rewarding incrementalism rather than breakthrough ideas due to outdated grant processes and excessive university overheads.