This market resolves to Yes if by December 31, 2026, human brain cells on a chip, similar to those developed by Cortical Labs, can play the game Doom with performance metrics (e.g., completion time, accuracy, strategic decision-making) that are comparable to those of average human gamers, as determined by a verified and publicly available demonstration or study.
Sony's announcement to stop producing game discs has gamers divided. Is the future digital-only, or are we losing a vital part of gaming culture?
Score reveals Jul 14, 2026
As AI costs skyrocket and an arms race emerges among tech giants, concerns are rising about whether the current AI investment frenzy is creating an unsustainable bubble. Critics like Palantir's Alex Karp argue that the model inflates costs without clear value, while others see AI as the future of tech. This debate questions the long-term impacts of AI's dominance in the market and whether the hype will lead to meaningful innovation or economic fallout.
This market resolves to Yes if by December 31, 2026, a major pharmaceutical company publicly announces the development of a new drug that involved the use of quantum chemistry software such as EXESS in its design or discovery. Confirmation must come from a press release or an equivalent formal announcement from the company.
This market resolves to Yes if a published report or announcement verifies that a quantum chemistry calculation has been performed significantly faster than previously recorded times, using a new or updated software package developed before the end of 2026. The resolution will be based on credible sources such as scientific publications, company press releases, or other authoritative announcements.
Score reveals Jul 17, 2026
As AI technologies advance rapidly, nations like the US and China are weighing the benefits of restricting access to their cutting-edge models to maintain a competitive edge. Advocates for sovereignty argue it's vital for national security and economic dominance, while critics warn this could stifle innovation and disrupt global cooperation in AI research and ethics. The debate raises questions about the balance between independence and interdependence in tech development.