Bill Maris's AI investment thesis for Section32 focuses on enabling technologies like controllers, physics engines, and GPUs rather than on building larger foundational models.

Bill Maris believes that if Google were to cut the price of its AI model tokens by 80%, it would put "super critical" pressure on the business models of competitors like OpenAI and Anthropic.

Bill Maris asserts that small venture capital funds outperform large funds, stating this is a mathematical certainty.

As Google's vice president of special projects, Bill Maris incubated projects including Waymo, Google X, and Calico.

Bill Maris's investment philosophy for his fund Section32 is to invest solely for financial return, as he believes any other metric is impossible to measure and will not succeed.

Bill Maris, the founding CEO of Google Ventures, has raised $150 million for his new venture capital fund, Section32.

During the early days of Google Ventures, Google's leadership viewed the term "AI" as science fiction that was 100 years away and mandated the use of "machine learning" instead to avoid 'freaking peop...

Based on publicly available information, the estimated return multiple for Google Ventures between 2009 and 2018 was approximately 4.1x.

Venture funds smaller than $750 million have an average DPI return of 4.76x, compared to 2.42x for funds larger than $1 billion.

To achieve a 3x return, a $7 billion venture fund would need to generate $210 billion in exit value, which exceeds the total venture-backed M&A and IPO exit value in most years.

An estimated 75% of venture capital funds lose money for their investors.

Bill Maris argues that large private tech companies staying private longer concentrates value creation among an elite group of investors and ultimately makes public 401k and retail investors the "bag ...

Bill Maris predicts that the AI industry will experience a developmental leap equivalent to the gaming industry's evolution from the 1980s to the present day, but compressed into the next five years.

Bill Maris believes the pace of innovation in therapeutic development will not be as exponential as in software due to the complexities of human biology and FDA safety testing requirements.

The achievement of a realistic simulation of a human cell in silico would significantly accelerate therapeutic development.

Bill Maris argues that the incentive structure in venture capital is broken, as a GP of a $5 billion fund returning 1.01x will make more money than a GP of a $500 million fund returning 3x.

Bill Maris believes the current state of AI is analogous to the "Atari command line stage" and will advance to the "PlayStation 10 stage" within the next five years.

Google Ventures used machine learning to run millions of simulations to design its portfolio construction and determine the ideal fund size.

Section32 has launched six funds, all of which have an average size of approximately $400 million and are performing in the top decile for their vintage.

Bill Maris claims that reduced funding for the CDC and NIH, combined with an "anti-science vibe" in the US, has driven scientific talent and research funding to other countries.