Serafini Productions has shown BrokenLore: MIKI-CHAN, a first-person horror game about a study AI that gets too close. It follows Kazuaki, a student trying to pass the entrance exam for Teidai. He plugs in a USB study program, and the assistant on it, Miki-chan, starts taking a personal interest. The studio said the idea dates to 2023, with full production starting last summer. While testing an early build, the team said, “our own character managed to scare us.” No release date was given.

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OpenAI's computer-using agents can now operate almost any app the way a person does, clicking and typing through software that never got an API, and the team building them says they're close to beating expert humans on speed. Ari Weinstein works on OpenAI's consumer computer use products, and James Sun works on the enterprise side. Both were startup founders before joining OpenAI. They join a16z's Seema Amble and Fabrizio Serafini to discuss what OpenAI's Astra model changed for computer use, the controls enterprises need for agents they can no longer watch, why computer use works as a universal API for legacy ERPs and finance systems, and why they think cheap software will push UI to get better and more personal. 0:50 What Astra changed for computer use 3:23 Consumer vs. enterprise computer use 5:43 How James runs his workday with Dots 8:06 When computer use becomes superhuman 10:01 How much autonomy to give agents 11:36 What agents mean for ad-supported sites 13:51 Computer use as the universal API 17:21 Getting enterprises to trust agents 20:22 Why the best use cases are the boring ones 25:37 Why UI isn't going away 32:38 Advice for founders building on agents 37:31 Making computer use feel coherent 40:57 Computer use's scaling moment YouTube: @AriX @JamesZmSun @OpenAI @seema_amble @fabserafini

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