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Why does the name “David Mayer” cause ChatGPT to crash? OpenAI says privacy tool is broken

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Users of the conversational AI platform ChatGPT discovered an interesting phenomenon over the weekend: a preferred chatbot refuses to answer questions on “David Mayer.” Asking him to achieve this will end in a direct suspension. Conspiracy theories have emerged, but there is a more unusual reason behind this strange behavior.

Word spread quickly last weekend that the name was poison to the chatbot, with an increasing number of people trying to trick the service into merely confirming the name. No luck: any attempt to get ChatGPT to spell this particular name leads to the middle name failing and even breaking.

“I am unable to answer,” the message says, if it says anything in any respect.

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Image credits:TechCrunch/OpenAI

But what began as a one-off curiosity quickly blossomed when people discovered that ChatGPT couldn’t name greater than just David Mayer.

The names of Brian Hood, Jonathan Turley, Jonathan Zittrain, David Faber and Guido Scorza were also found to be liable for the service outage. (No doubt more has been discovered since then, so this list is not exhaustive.)

Who are these men? And why does ChatGPT hate them a lot? OpenAI didn’t immediately respond to repeated inquiries, so we’re left to piece it together as best we will.* (See update below).

Some of those names can belong to any number of individuals. However, a possible thread of connection identified by ChatGPT users is that these individuals are public or semi-public figures who may prefer that engines like google or AI models “forget” certain information.

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Brian Hood, for instance, stands out in that, assuming he’s the same guy, I wrote about him last yr. Hood, an Australian mayor, accused ChatGPT of falsely identifying him as the perpetrator of a decades-old crime that he actually reported.

Although his lawyers contacted OpenAI, no lawsuit was ever filed. Like him he told the Sydney Morning Herald earlier this yr: “Offensive material removed and version 4 released, replacing version 3.5.”

Image credits:TechCrunch/OpenAI

As for the most outstanding owners of the remaining names, David Faber is a longtime CNBC reporter. Jonathan Turley is a lawyer and Fox News commentator who was “encountered” in late 2023 (i.e., a false 911 call sent armed police to his home). Jonathan Zittrain is also a legal expert who has The topic of the “right to be forgotten” was discussed at length. Guido Scorza sits on the Management Board of the Italian Data Protection Authority.

It’s not exactly the same scope of labor, nevertheless it’s not a random selection either. It is possible that every of those people is someone who, for whatever reason, could have formally requested that the information relating to them on the Internet be restricted not directly.

Which brings us back to David Mayer. There is no lawyer, journalist, mayor or other outstanding person with that name that anyone can find (sorry to the many respectable David Mayers).

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However, there was Professor David Mayer, who taught drama and history, specializing in the relationship between the late Victorian era and early cinema. Mayer died in the summer of 2023 at the age of 94. However, for a few years the British-American scientist faced a legal and web problem involving his name being related to a wanted criminal who used it as a pseudonym, to the point where he was unable to travel anywhere.

Mayer he continuously fought to have his name distinguished from that of the one-armed terroristregardless that he was still teaching already in the last years of his life.

So what conclusions can we draw from all this? Our guess is that the model ingested or provided a listing of individuals whose names require special treatment. Whether for legal, security, privacy or other reasons, these names are likely subject to special rules, like many other names and identities. For example, ChatGPT may change its response if it matches a name you entered on a listing of political candidates.

There are many such special rules, and every prompt undergoes various types of processing before being answered. However, these rules of conduct after rapid intervention are rarely made public, apart from political announcements akin to “the model will not predict the election results of any candidate for office.”

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What probably happened was that one in all these lists, that are almost actually actively maintained or robotically updated, was in some way corrupted by buggy code or instructions that, when invoked, caused the chat agent to immediately crash. To be clear, this is just our speculation based on what we have learned, but this would not be the first time an AI has behaved strangely due to post-training cues. (Incidentally, as I used to be writing this, “David Mayer” began working again for some, while other names continued to cause crashes.)

As usual in such cases, Hanlon’s razor applies: never attribute to malice (or conspiracy) what might be adequately explained by stupidity (or syntactical error).

All this drama is a useful reminder that not only are these AI models not magical, but also they are extremely sophisticated and auto-feeding, and are actively monitored and interfered with by the firms that create them. Next time you are eager about getting facts from a chatbot, consider whether it is likely to be higher to go straight to the source.

Update: OpenAI confirmed on Tuesday that the name “David Mayer” had been flagged by internal privacy tools, saying in an announcement that “There may be cases where ChatGPT does not share certain information about people to protect their privacy.” The company didn’t provide further details about the tools or process.

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This article was originally published on : techcrunch.com

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The planned Openai data center in Abu Dhabi would be greater than Monaco

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Sam Altman, CEO of OpenAI

Opeli is able to help in developing a surprising campus of the 5-gigawatt data center in Abu Dhabi, positioning the corporate because the fundamental tenant of anchor in what can grow to be considered one of the biggest AI infrastructure projects in the world, in accordance with the brand new Bloomberg report.

Apparently, the thing would include a tremendous 10 square miles and consumed power balancing five nuclear reactors, overshadowing the prevailing AI infrastructure announced by OpenAI or its competitors. (Opeli has not yet asked TechCrunch’s request for comment, but in order to be larger than Monaco in retrospect.)

The ZAA project, developed in cooperation with the G42-Konglomerate with headquarters in Abu Zabi- is an element of the ambitious Stargate OpenAI project, Joint Venture announced in January, where in January could see mass data centers around the globe supplied with the event of AI.

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While the primary Stargate campus in the United States – already in Abilene in Texas – is to realize 1.2 gigawatts, this counterpart from the Middle East will be more than 4 times.

The project appears among the many wider AI between the USA and Zea, which were a few years old, and annoyed some legislators.

OpenAI reports from ZAA come from 2023 Partnership With G42, the pursuit of AI adoption in the Middle East. During the conversation earlier in Abu Dhabi, the final director of Opeli, Altman himself, praised Zea, saying: “He spoke about artificial intelligence Because it was cool before. “

As in the case of a big a part of the AI ​​world, these relationships are … complicated. Established in 2018, G42 is chaired by Szejk Tahnoon Bin Zayed Al Nahyan, the national security advisor of ZAA and the younger brother of this country. His embrace by OpenAI raised concerns at the top of 2023 amongst American officials who were afraid that G42 could enable the Chinese government access advanced American technology.

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These fears focused on “G42”Active relationships“With Blalisted entities, including Huawei and Beijing Genomics Institute, in addition to those related to people related to Chinese intelligence efforts.

After pressure from American legislators, CEO G42 told Bloomberg At the start of 2024, the corporate modified its strategy, saying: “All our Chinese investments that were previously collected. For this reason, of course, we no longer need any physical presence in China.”

Shortly afterwards, Microsoft – the fundamental shareholder of Opeli together with his own wider interests in the region – announced an investment of $ 1.5 billion in G42, and its president Brad Smith joined the board of G42.

(Tagstransate) Abu dhabi

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Redpoint collects USD 650 million 3 years after the last large fund at an early stage

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Redpoint Ventures, an organization based in San Francisco, which is a few quarter of a century, collected $ 650 million at an early stage, in keeping with A regulatory notification.

The latest RedPoint fund corresponds to the size of its previous fund, which was collected barely lower than three years ago. On the market where many enterprises reduce their capital allegations, this cohesion may indicate that limited partners are relatively satisfied with its results.

The company’s early stage strategy is managed by 4 managing partners: Alex Bard (pictured above), Satish Dharmraraj, Annie Kadavy and Eric Brescia, who joined the company in 2021 after he served as the operational director of Githuba for nearly three years.

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The last outstanding investments of the RedPoint team at an early stage include AI Coding Pool Pool, which was founded by the former partner Redpoint and CTO GitHub Jason Warner, distributed laboratories of SQL database programmers and Platform Management Platform Platform Levelpath.

A multi -stage company also conducts a development strategy led by Logan Barlett, Jacob Effron, Elliot Geidt and Scott Raney partners. Last 12 months, Redpoint raised its fifth growth fund at USD 740 million, which is a small increase in the USD 725 million fund closed three years earlier.

The recent RedPoint outputs include the next insurance, which was sold for $ 2.6 billion in March, Tastemada Startup Media Travel -utar -Media was enriched by Wonder for $ 90 million, and the takeover of Hashicorp $ 6.4 billion by IBM.

Redpoint didn’t answer the request for comment.

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(Tagstranslate) Early Stage Venture Capital (T) Basenside (T) Redpoint Venture Partners

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Tensor9 helps suppliers implement software in any environment using digital twins

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Enterprises must access latest software and artificial intelligence tools, but they’ll not risk sending their sensitive data to external software suppliers as a service (SAAS). Tensor9 He tries to help software firms to get more corporate customers, helping them implement the software directly in the client’s technological stack.

TENSOR9 transforms the software supplier code into the format needed to implement their client in the technological environment. Tensor9 then creates a digital twin of implemented software or a miniaturized infrastructure model of implemented software, so TENSOR9 customers can monitor how the software works in their customer environment. TENSOR9 will help firms to be placed in any premise, from the cloud to a bare server.

Michael Ten-POW, co-founder and general director of TENSOR9, told Techcrunch that the pliability to tendsor9 to send software to any assumption and using digital double technology in order to help in distant monitoring, helps to face out from other firms, comparable to Octopus implementation or non, which also help firms implement software in the client’s environment.

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“You can’t just throw the wall software, or it is very difficult to throw the wall software and know what is happening, be able to find problems, debrieve them, fix them,” said Ten-POW (in the photo above, on the left). “They see how it works, they can debate it, can log in and understand what problems are and fix them.”

He said that time is suitable for Tensor9 technology on account of the wind from the creation of AI. Companies and financial institutions wish to simply accept AI technology, but they’ll not risk sending their data to third parties.

“Enterprise search seller can succeed, say, JP Morgan and say:” Hey, I’d love access to your entire six data parabetts to construct an intelligent search layer in order that your internal employees can confer with the company’s given company, “it is not possible to work,” said this-POW.

Ten-Pow, a former engineer in AWS, said he had a “long, quite winding path” to run the tensor9. He came up with the company’s idea, working on one other potential concept that failed. He spent some time, wondering if he would discover an answer to make it easier for software suppliers to accumulate a SOC 2 certificate, a frame compliance frame to help them unlock customers who required their suppliers.

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Although it failed, he discovered from clients’ connections that what firms really wanted was software to act in their very own technological environment. But many programming firms, especially startups, shouldn’t have any resources to provide a specially to order for each company customer.

This sentiment became the premise of Tensor9, which Ten-POW began in 2024. Later this 12 months he brought two of his former colleagues, Matthew Michie and Matthew Shanker, as co-founders.

The company found early grip with AI. Since then, they began to expand to work in other industries, including: attempting to get your hands on enterprises, corporate databases and data management. The company currently cooperates with AI, including: 11x, REELL AI and DYNA AI.

TENSOR9 BootstrePPRE for the first 12 months, and recently raised a round of $ 4 million, led by Wing VC with the participation of UP Ventures levels, Devang Sachdev with the Ventures model, Nvangels, Angelic group of former employees of NVIDIA and other Investors of Angels. This POW said that the involvement of investors with this idea was not too difficult, for the rationale that VC they talked to see how their portfolio firms struggle with this exact problem. Tensor9 simply needed to steer investors that they were an appropriate team for work.

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“We have a simple model, but there are many complexities under the covers, which makes it happen, difficult technical challenges that we solved to make it happen,” said Ten-Pow. “I think it was one of the things that helped us convince investors to invest in us.”

The company plans to utilize funds for employment and construct one other generation of its technology in order that it could cooperate with clients in larger vertical number.

“There was evolution from (on the premise) to the cloud and we think that this idea of ​​the software lives where it must and works where it must, is the next step, which is a kind of synthesis of previous local and cloud ideas,” Ten-POW said.

(Tagstranslate) artificial intelligence

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