Within MAN Machine Hackathon

There is Eric ChongA 37-year-old, which has a background in dentistry and has previously cooled the startup that simplifies medical billing for dentists. It is set on the “Machine” team.

“I’ll be honest and say I’m extremely easier to be on the Machine Team,” Chong says.

In Hackathon, Chong built software that uses voice and face recognition to reveal autism. Of course, my first question was: would it not be wealth Questions with that, like biased data leading to false positive data?

“A short answer, yes,” Chong says. “I think there are some fake positive positions that I can go out, but I think with a voice and expression, I think we could actually improve the accuracy of early discovery.”

AGI ‘TACOWER’

Spatial space, like many AI connected with things in San Francisco, has connections for efficient altruism.

If you are not familiar with the movement through Titles of fraud bombsIt strives to maximize the good that can be done using the time, money and resources of participants. The day after this event, the event space hosted the discussion on how to use the youtube “to communicate important ideas as why people should eat less meat.”

On the fourth floor of the building, flying the walls – “AI 2027: Will AGI Tacover” shows the bulletin for the TACO party, which recently passed, another name “Pro-Animal Practice” does not give another context.

Half an hour before the submission deadline, the Coders express vegan meatballs from IKE and rushed to finish their projects. One floor below, the judges began to arrive: Brian Fioca and ShiaMal Hitsh Anadkat From Openai applied AI team, Marius Buleandra by anthropic applied and team and Protected forwardAI Startup engineer Factory (which also coaches the event).

As the trial began, a member of Metr’s team, Nate Rush, showed me an excel desk that was a crazy competitor, with AI groups of colored green and human colored red. Colored red. Each group moved up and down to the list because the judges entered their decisions. “Do you see?” He asked me. No, no – Mishmash color has not shown a clear winner or half an hour in the trial. That was his point. There was a lot of surprises of everyone, Man opposite the machine was a close race.

Show time

In the end, the finalists have divided evenly: three from the “man” side and three with the “machine”. After each demo demonstration, the crowd was asked to raise his arms and guess if the team used AI.

The tool has become a tool designed to help visually damaged people move around by rewriting VideoFeed in checking live in the text to read the screen to read loudly. Given a short time of construction, it is technically impressive, and 60 percent of the room (by Emceee Grofa) believed he used AI. It’s not.

The next one was a team built by a platform for designing a pencil and paper, using a real-time sketch tracking camera – not ai that is included in the coding process. The piano project has progressed to the finals with a system that allows users to set piano sessions for AI-generated feedback; It was on the side of the machine. The second team displayed a tool that generates code changes maps: critical security issues are displayed in red, while routine changes appear green. This one used AI.