AI Insights
NYT to start searching deleted ChatGPT logs after beating OpenAI in court
News orgs will soon start searching ChatGPT logs
The clock is ticking, and so far, OpenAI has not provided any official updates since a June 5 blog post detailing which ChatGPT users will be affected.
While it’s clear that OpenAI has been and will continue to retain mounds of data, it would be impossible for The New York Times or any news plaintiff to search through all that data.
Instead, only a small sample of the data will likely be accessed, based on keywords that OpenAI and news plaintiffs agree on. That data will remain on OpenAI’s servers, where it will be anonymized, and it will likely never be directly produced to plaintiffs.
Both sides are negotiating the exact process for searching through the chat logs, with both parties seemingly hoping to minimize the amount of time the chat logs will be preserved.
For OpenAI, sharing the logs risks revealing instances of infringing outputs that could further spike damages in the case. The logs could also expose how often outputs attribute misinformation to news plaintiffs.
But for news plaintiffs, accessing the logs is not considered key to their case—perhaps providing additional examples of copying—but could help news organizations argue that ChatGPT dilutes the market for their content. That could weigh against the fair use argument, as a judge opined in a recent ruling that evidence of market dilution could tip an AI copyright case in favor of plaintiffs.
Jay Edelson, a leading consumer privacy lawyer, told Ars that he’s concerned that judges don’t seem to be considering that any evidence in the ChatGPT logs wouldn’t “advance” news plaintiffs’ case “at all,” while really changing “a product that people are using on a daily basis.”
Edelson warned that OpenAI itself probably has better security than most firms to protect against a potential data breach that could expose these private chat logs. But “lawyers have notoriously been pretty bad about securing data,” Edelson suggested, so “the idea that you’ve got a bunch of lawyers who are going to be doing whatever they are” with “some of the most sensitive data on the planet” and “they’re the ones protecting it against hackers should make everyone uneasy.”
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Scientists create biological artificial intelligence system
The original development of directed evolution, performed first in bacteria, was recognised by the 2018 Noble Prize in Chemistry.
“The invention of directed evolution changed the trajectory of biochemistry. Now, with PROTEUS, we can program a mammalian cell with a genetic problem we aren’t sure how to solve. Letting our system run continuously means we can check in regularly to understand just how the system is solving our genetic challenge,” said lead researcher Dr Christopher Denes from the Charles Perkins Centre and School of Life and Environmental Sciences
The biggest challenge Dr Denes and the team faced was how to make sure the mammalian cell could withstand the multiple cycles of evolution and mutations and remain stable, without the system “cheating” and coming up with a trivial solution that doesn’t answer the intended question.
They found the key was using chimeric virus-like particles, a design consisting of taking the outside shell of one virus and combining it with the genes of another virus, which blocked the system from cheating.
The design used parts of two significantly different virus families creating the best of both worlds. The resulting system allowed the cells to process many different possible solutions in parallel, with improved solutions winning and becoming more dominant while incorrect solutions instead disappear.
“PROTEUS is stable, robust and has been validated by independent labs. We welcome other labs to adopt this technique. By applying PROTEUS, we hope to empower the development of a new generation of enzymes, molecular tools and therapeutics,” Dr Denes said.
“We made this system open source for the research community, and we are excited to see what people use it for, our goals will be to enhance gene-editing technologies, or to fine tune mRNA medicines for more potent and specific effects,” Professor Neely said.
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