Lawmakers are advancing proposals that would require startups to disclose detailed information about their AI training data, specifically the sources and copyright status of the content used.
Uncertainty Surrounding the BEAD Program and Its Impact on Startups
Sacrificing Patent Quality for the Sake of “Efficiency”
The SBIR program is up for reauthorization again. It’s time for Congress to implement meaningful reform.
Lawmakers are feeling the heat on kids’ safety, but are they willing to grapple with the tradeoffs?
Supreme Court reviews the Universal Service Fund: what it means for startups and the future of broadband programs
AI Essentials: What is a foundation model?
AI Essentials: Copyright and model training
This blog continues our series called “AI Essentials,” which aims to bridge the knowledge gap surrounding AI-related topics. It discusses copyright infringement and fair use when it comes to the inputs used in AI training and why these legal questions are critical for the AI ecosystem and startup innovation.
The pro-startup policy agenda to power AI innovation
U.S. startups need trade agency to address digital barriers in upcoming annual report
AI Essentials: What are transformers?
AI Essentials: What is compute and how is it measured?
If you wanted to haul large amounts of water from a well, you would (at one point in history) need a resource, like a horse, to pull the load. You would measure how much weight the horse can pull per minute in terms of “horsepower.” In the world of AI, the resource required to make models work is compute, and it’s measured in FLOPS.
