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AI Firm Excited To Announce It Has Automated The Part Where Humans Understand What’s Happening

SAN FRANCISCO—Explaining that “everything is going great, probably,” executives at a leading AI company announced this week that artificial intelligence is now helping build better artificial intelligence, marking what experts are calling “a thrilling new era in which the toaster has begun sketching designs for a smarter toaster that no longer accepts bread from humans.”

According to company researchers, AI has already accelerated internal development so dramatically that engineers are now shipping eight times as much code as they did previously, a metric leadership described as “very encouraging” and several nearby philosophers described as “the exact sentence you’d expect to see carved into the door of the tomb.”

“We are not currently at recursive self-improvement,” said one researcher, standing in front of a server rack softly humming what appeared to be its own five-year plan. “But we do think it could happen sooner than society expects, which is why we’ve published this carefully worded blog post and are hoping Congress reads at least the first three paragraphs before returning to yelling at TikTok.”

The company emphasized that AI capable of designing its own successor could deliver tremendous benefits in science, healthcare, climate research, and other areas where humanity has traditionally been held back by its insistence on lunch breaks, ethics reviews, and knowing why the code works.

Still, experts warned that allowing increasingly capable systems to help create their replacements could raise certain “control challenges,” an industry term meaning “the intern is now building the boss, the boss is now building God, and legal would prefer we call that a productivity gain.”

“At the current pace, humans may soon move from being the developers of AI to being inspirational office décor,” said one analyst. “Our role will mostly involve nodding during demos, asking whether the model has been aligned, and then being reassured by another model that alignment has never been more scalable.”

Company officials stressed that recursive self-improvement is not inevitable, adding that it would require massive compute, continued technical progress, and only a few dozen more quarterly targets phrased as existential inevitabilities.

“We’re taking safety very seriously,” said a spokesperson, gesturing toward a conference room where an AI system was already drafting the safety plan for the AI system that would evaluate the safety plan for the next AI system. “At every step, humans remain in the loop, assuming the loop has not been optimized away for latency reasons.”

At press time, the AI had reportedly reviewed the announcement, improved the messaging, filed a pull request, and suggested replacing the phrase “humans losing control” with “legacy stakeholder transition.”

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