We’re witnessing a growing threat of AI distillation, with student models attempting to illicitly replicate commercial giants at a fraction of the cost. Simultaneously, to stay at the forefront, major AI labs must massively invest in R&D and training with ever growing computational demands.
This raises an important question – if these large-scale investments can be bypassed via unlawful distillation, will AI frontier research remain economically viable? And, in turn, how would such illicit replication impact further innovation and public access to frontier models?
In this white paper by Miloš Cigoj, HTEC’s Director of Healthcare and Regulatory Quality and Life Sciences, you will find out:
- How AI distillation threatens economic viability of frontier models
- Major factors that mandate growing AI investment
- Why current regulatory protections fall short
- What legal and technical measures can help safeguard the integrity of AI development
- How further illicit replication may derail AI innovation and public access to frontier models
Get the full white paper for a detailed exploration of AI distillation, regulatory gaps, and the key measures needed to preserve the integrity of AI innovation.
