Generationship Heavybit

In episode 11 of Generationship, Rachel is joined by Adio Dinika of The DAIR Institute to discuss ghost workers. This talk examines the challenges faced by platform laborers around the world, including unfair compensation, job insecurity, and data rights violations. Additionally, they explore the community-rooted AI research that's being done at The DAIR Institute.

In episode 10 of Generationship, Rachel Chalmers and Dr. Marie Oldfield explore ethical benchmarks in AI. This conversation sheds light on professional accreditation for AI practitioners and offers unique insights on mitigating societal risks while building better AI models. Additionally, Marie shares lessons learned from her expansive career journey across Government, Defense, Legal, and Tech.

In episode 9 of Generationship, Rachel Chalmers speaks with technology expert Michelle Yi. This conversation examines how generative AI will change the future of work. Together they explore topics like the philosophy of work and productivity, the advent of multi-agent systems, and what to consider when investing in AI.

In episode 8 of Generationship, Rachel Chalmers speaks with Josh Furstoss of Incued about the promise of generative AI. This talk explores the considerations founders must make before incorporating generative AI into their products, and the potential impact AI will have on financial decision-making in the future.

In episode 7 of Generationship, Rachel speaks with Wei Lien Dang of Unusual Ventures about the landscape of Generative AI and what it means from an investment standpoint. They analogize previous platform shifts to better understand what’s happening with LLMs today, and together they unpack the qualities investors seek out when investing in the world of AI.

In episode 6 of Generationship, Rachel Chalmers speaks with Mark Wallace of Global Worldwide. The conversation kicks off with a deep dive on Mark’s philosophical stance that LLMs are actually thinking. Additionally, they explore the risks of using commercial LLMs, the difficulty of fine-tuning LLMs, and the crossroads of game infrastructure and generative AI.