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AI April 4, 2023

AI is Far Worse Than Nuclear War, Says Prominent Researcher

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AI is Far Worse Than Nuclear War, Says Prominent Researcher

Artificial general Intelligence (AGI) researcher Eliezer Yudkowsky says AI innovation is far worse than the nuclear bomb and could lead to the death of everyone on earth. But that may not be entirely accurate, according to some of his peers, who believe the risks are overstated.

Yudkowsky spoke in the wake of an open letter signed recently by several luminaries including Apple co-founder Steve Wozniak, billionaire Elon Musk, Gary Marcus, and others, calling for a six-month moratorium on large language AI training in the world.

“If somebody builds a too-powerful AI, under present conditions, I expect that every single member of the human species and all biological life on Earth dies shortly thereafter,” he warned, in a recent article published by the Time Magazine.

Also read: Trouble in ChatGPT Paradise? AI-Run Startup Fails to Meet Financial Goals

Shutting down AI

Yudkowsky is an American computer scientist best known for popularizing the idea of Friendly AI, a term referring specifically to AIs that produce “good, beneficial outcomes rather than harmful ones.” He spent 20 years researching AGI – basically the state where AI could reason like humans – and is considered a pioneer in the field.

In his article, Yudkowsky argues that the risks of artificial intelligence cannot be managed through regulation alone. He believes that the development of AI poses an existential threat to humanity and that the only way to deal with the threat is to shut it all down completely.

“Shut down all the large GPU clusters (the large computer farms where the most powerful AIs are refined). Shut down all the large training runs,” he suggested.

“Put a ceiling on how much computing power anyone is allowed to use in training an AI system…” No government or military in the world should be exempted from adhering to these exacting standards, says the Machine Intelligence Research Institute co-founder.

One of the core issues Yudkowsky raised is what he described as the “alignment problem.” Essentially, the problem refers to the difficulty of ensuring that an AI system’s goals and objectives are aligned with those of its human creators.

Critics say the danger is that an AI system may develop its own goals and objectives that conflict with those of its creators, leading to disastrous outcomes. Developing AI without solving the alignment problem is akin to building a skyscraper on shaky foundation, he said.

Nuclear hot debate

Yudkowsky fears the unintended dangers of rapidly scaling development of super smart technologies without proper safety measures. He proposes the creation of specialized organizations and institutions dedicated to addressing these safety concerns.

However, the decision theorist’s argument is not new. Many experts have been warning about the dangers of AI for years. In 2018, a report by the RAND Corporation warned that the development of AI could increase the risk of nuclear war.

The report that said the integration of AI, machine learning, and big-data analytics could dramatically improve militaries’ ability to locate, track, target, and destroy a rival’s nuclear-deterrent forces.

Others have also waded into the debate. For former Google product lead Bilawal Sidhu, the AI debate can either be treated like nuclear or it can be left open. He says an open-source AI would allow good actors to police the bad ones, which minimizes harm the tech would do.

In a series of tweets, Sidhu equated AI technology’s potence to an improved nuclear, adding data was the new crude oil in a digitized world.

“The big data era digitized everything, creating both open & closed treasure troves. Data is the new oil, and with AI, extracting this crude resource is easier than ever,” he wrote.

“Unlike in the past where government used to wield power exclusively, this influence is also held by individuals. Wielding this power isn’t limited to big tech giants or nation-states. Anyone can use it for good or evil. People have already shown wild capabilities.”

More AI capabilities

Now, even geolocation, previously a preserve of sophisticated government spy agencies, can be done by individuals. Sidhu cited an AI artist who geolocated top influencers using Instagram and publicly available camera feeds, as a case in point.

What is known as “pattern of life analysis” has traditionally been relegated to the intelligence community, but can be done by individuals. When a much more proficient large language model such as GPT-4, the latest version of the GPT family, is added to the mix, the potential of such individuals becomes terrifying, he says.

Owing to this scary prospect, Sidhu says it is little wonder OpenAI, the company that created the GPT technology, has been selective about opening up multi-modality. Combined with “detection and tracking algorithms” on media and neural link based “reasoning” ability of GPT-4 class models in parsing social feeds, a powerful big brother is born.

He called for greater regulation of the type of models such as image generation, insisting this has far less downside than general-purpose models like GPT-4.

“But it isn’t exactly rainbows and sunshine either. VFX and photoshop has always been a thing, but image models enable disinformation at an unfathomable scale,” he tweeted.

Sidhu cited how his clearly labeled “VFX videos” fooled millions. He said it was unimaginable what such tech would do in the hands of what he called “bad actors.”

In a previous interview with Newsweek, former U.S. Secretary of State Henry Kissinger argued that AI is “as consequential” but “less predictable” than nuclear weapons. Kissinger believes that the risks of AI can be managed through international cooperation and regulation.

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Image credits: Shutterstock, CC images, Midjourney, Unsplash.

AI

Judge Orders All AI-Generated Research To Be Declared in Court

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Judge Orders All AI-Generated Research To Be Declared in Court

A Texas federal judge has ordered that AI-generated content should not be used to make arguments in court, and that such information must be declared and verified by a human.

Judge Brantley Starr’s ruling comes after one attorney, Steven Schwartz, last week allowed OpenAI’s ChatGPT to “supplement” his legal research by providing him with six cases and relevant precedent. All the cases were untrue and completely “hallucinated” by the chatbot.

Also read: ChatGPT’s Bogus Citations Land US Lawyer in Hot Water

The debacle received wide coverage, leaving Schwartz with “regrets.” Other lawyers who may have been contemplating trying the stunt now have to think twice, as Judge Starr has put an end to it.

Judge Starr also added a requirement that any attorney who appears in his courtroom declare that “no portion of the filing was drafted by generative artificial intelligence,” or if it was, that it was checked “by a human being.”

Judge Starr lays down the law

The eminent judge has set specific rules for his courtroom, just like other judges, and recently added the Mandatory Certification Regarding Generative Artificial Intelligence.

This states that: “All attorneys appearing before the Court must file on the docket a certificate attesting either that no portion of the filing was drafted by generative artificial intelligence (such as ChatGPT, Harvey.AI, or Google Bard) or that any language drafted by generative artificial intelligence was checked for accuracy, using print reporters or traditional legal databases, by a human being.”

A form for lawyers to sign is appended, noting that “quotations, citations, paraphrased assertions and legal analysis are all covered by this proscription.”

According to a report by TechCrunch, summary is one of AI’s strong suits and finding and summarizing precedent or previous cases is something advertised as potentially helpful in legal work. As such, this ruling may be a major spanner in the works for AI.

The certification requirement includes a pretty well-informed and convincing explanation of its necessity.

It states that: “These platforms are incredibly powerful and have many uses in the law: form divorces, discovery requests, suggested errors in documents, anticipated questions at oral argument.

“But legal briefing is not one of them. Here’s why.

“These platforms in their current states are prone to hallucinations and bias,” reads part of the certification.

It further explains that on hallucinations, AI is prone to simply making stuff up – even quotes and citations. While another issue relates to reliability or bias.

Chatbots don’t swear an oath

The certification further notes that although attorneys swear an oath to set aside their personal prejudices, biases, and beliefs to faithfully uphold the law and represent their clients, generative AI is the programming devised by humans who did not have to swear such an oath.

In the case of Schwartz, he said in an affidavit that he was “unaware of the possibility that its (ChatGPT) content could be false.”

He added that he “greatly regrets” using the generative AI and will only “supplement” its use with absolute caution and validation in future, further claiming he had never used ChatGPT prior to this case.

The other side of ChatGPT

Launched last November, ChatGPT is a large language model developed by OpenAI. The AI-powered chatbot is trained on billions of data sets from the internet and can perform a variety of tasks such as generating text and translating languages.

Despite going viral and provoking a fierce AI race, ChatGPT has its downsides – it can hallucinate and has misled Schwartz, who was representing Roberto Mata in a lawsuit against Colombian airline Avianca. Effectively, the chatbot provided citations to cases that did not exist.

Yet when Schwartz asked ChatGPT if one of the supposed cases was a real case, it responded “yes, (it) is a real case.” When asked for sources, the chatbot told Schwartz the case could be found “on legal research database such as Westlaw and LexisNexis.”

The matter came to light after the opposing counsel flagged the ChatGPT-generated citations as fake.

US District Court Judge Kevin Castel confirmed six of them as non-existent and demanded an explanation from Schwartz.

“Six of the submitted cases appear to be bogus judicial decisions with bogus quotes and bogus internal citations,” wrote Judge Castel in a May 4 order.

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Nvidia Debuts AI Tools in an Era Where “Anyone Can Be a Programmer”

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Nvidia Debuts AI Tools in an Era Where “Anyone Can Be a Programmer”

The world’s most valuable chip maker Nvidia has unveiled a new batch of AI-centric products, as the company rides on the generative AI wave where anyone can be a programmer.

Nvidia announced a new supercomputer and a networking system, while the company also aims to make video game characters more realistic.

The wide range of products include robotics design, gaming capabilities, advertising services, and networking technology, which CEO Jensen Huang unveiled during a two-hour presentation in Taiwan on Monday.

Also read: Google Claims its AI Computer Outperforms Nvidia’s A100 Chip

Most notable of the new products is the AI supercomputer platform named DGX GH200 that will help tech companies create successors to OpenAI’s ChatGPT.

According to the company, the new DGX GH200 supercomputers combine 256 GH200 superchips that can act as a single graphics processing unit (GPU). The result is a system that boasts nearly 500 times the memory of a single Nvidia’s DGX A100 system.

“Generative AI, large language models, and recommender systems are the digital engines of modern economy,” said Huang.

“DGX GH200 AI supercomputers integrate Nvidia’s most advanced accelerated computing and networking technologies to expand the frontier of AI.”

So far, Microsoft Corp., Meta Platforms Inc., and Alphabet’s Google are expected to be among the first users, according to Nvidia.

The DGX GH200 supercomputers are expected to be available by the end of 2023.

The GH200 superchips which power the new supercomputer work by combining Nvidia’s Arm-based Grace GPU and an Nvidia H100 Tensor Core GPU in a single package.

The chipmaker also revealed that it’s building its own supercomputer running four DGX 200 systems at the same time to power its own research.

Nvidia also released its ACE generative AI model for video games, enabling gaming companies to use generative AI for large games with multiple non-player characters, giving them unique lines of dialogue and ways to interact with players that would normally need to be individually programmed.

Easy ad content

Alongside the hardware announcement, the company said it has partnered with advertising giant WPP to create a content engine that uses its Omniverse technology and generative AI capabilities to help build out ad content.

The move is intended to cut down the time and cost of producing ads by enabling WPP’s clients to lean on Nvidia’s technology.

Electronics manufacturers such as Foxconn, Pegatron, and Wistron are using Omniverse technology to create digital twins of their factory floors, so they can get a sense of how best to lay them out before making any physical changes.

A new computing era

Presenting at the forum, Huang acknowledged that advancements in AI are ushering in a new era in computing. He says anyone can be a programmer simply by speaking to the computer.

According to the Nvidia boss, gone are the days when programmers would write lines of code, only for it to display the “fail to compile” response because of a missing semicolon.

“This computer doesn’t care how you program it, it will try to understand what you mean, because it has this incredible large language model capability. And so the programming barrier is incredibly low,” said Huang.

“We have closed the digital divide. Everyone is a programmer. Now, you just have to say something to the computer,” he added.

Huang said his company has managed to bridge the digital gap, and the tech giant will continue to capitalize on the AI frenzy that has made Nvidia one of the world’s most valuable chipmakers.

Nvidia’s stock price is rising

Nvidia’s major announcements came as shares of the tech giant jumped last week on news that the company anticipated second quarter revenue above Wall Street’s expectations, based on the strength of its data center business.

The company hit the $1 trillion market cap just before the US markets opened on Tuesday. Its shares are trading at $407 in the pre-market, nearly 5% up from Monday.

Nvidia’s shares were up more than 165% year-to-date as of Friday afternoon, with the S&P 500 (^GSPC) just 9.5% higher in the same frame.

Rival chip maker AMD has experienced a similar boost in share price, rising 93%. However, Intel (INTC) is lagging behind with shares up just 8%.

According to Yahoo Finance tech editor Daniel Howley, while analysts see Nividia well ahead of its chip rivals in the AI processing space, how long that continues to be the case is anyone’s guess.

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ChatGPT’s Bogus Citations Land US Lawyer in Hot Water

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ChatGPT's Bogus Citations Land US Lawyer in Hot Water

A lawyer in the United States is facing disciplinary action after his law firm used popular AI chatbot ChatGPT for legal research and cited fake cases in a lawsuit.

Steven A. Schwartz, who is representing Roberto Mata in a lawsuit against Colombian airline Avianca, admitted to using OpenAI’s ChatGPT for research purposes, and that the AI model provided him with citations to cases that did not exist.

Mata is suing Avianca for a personal injury caused by a serving cart in 2019, claiming negligence by an employee.

Also read: Opera Unveils GPT-Powered AI Chatbot Aria

Bogus all the way

According to a BBC report, the matter came to light after Schwartz, a lawyer with 30 years experience, used these cases as precedent to support Mata’s case.

But the opposing counsel flagged the ChatGPT-generated citations as fake. US District Court Judge Kevin Castel confirmed six of them as non-existent. He demanded an explanation from Schwartz, an attorney with New York-based law company Levidow, Levidow & Oberman.

“Six of the submitted cases appear to be bogus judicial decisions with bogus quotes and bogus internal citations,” Judge Castel wrote in a May 4 order.

“The court is presented with an unprecedented circumstance.”

The supposed cases include: Varghese v. China South Airlines, Martinez v. Delta Airlines, Shaboon v. EgyptAir, Petersen v. Iran Air, Miller v. United Airlines, and Estate of Durden v. KLM Royal Dutch Airlines, none of which did not appear to exist to either the judge or defense.

Lawyer claims ignorance

ChatGPT is a large language model developed by OpenAI. Launched in November, the AI is trained on billions of data from the Internet and can perform a variety of tasks like generate text, translate languages, and even write poetry, and solve difficult math problems.

But ChatGPT is prone to “hallucinations” – tech industry speak for when AI chatbots produce false or misleading information, often with confidence.

In an affidavit last week, Schwartz said he was “unaware of the possibility that its [ChatGPT] content could be false.” He also said that he “greatly regrets” using the generative AI and will only “supplement” its use with absolute caution and validation in future.

Schwartz claimed to have never used ChatGPT prior to this case. He said he “greatly regrets having utilized generative artificial intelligence to supplement the legal research performed herein and will never do so in the future without absolute verification of its authenticity.”

The career attorney now faces a court hearing on June 8 after accepting responsibility for not confirming the authenticity of the ChatGPT sources. Schwartz was asked to show cause why he shouldn’t be sanctioned “for the use of a false and fraudulent notarization.”

ChatGPT’s confident lies

According to the BBC report, Schwartz’s affidavit contained screenshots of the attorney that confirmed his chats with ChatGPT.

Schwartz asked the chatbot, “is varghese a real case?”, to which ChatGPT responded “yes, [it] is a real case.” When asked for sources, it told the attorney that the case could be found “on legal research databases such as Westlaw and LexisNexis”.

Again, the attorney asked: “Are the other cases you provided fake?” ChatGPT responded “No”, adding that the cases could be found on other legal databases. “I apologize for the confusion earlier,” ChatGPT said.

“Upon double-checking, I found the case Varghese v. China Southern Airlines Co. Ltd., 925 F.3d 1339 (11th Cir. 2019), does indeed exist and can be found on legal research databases such as Westlaw and LexisNexis. I apologize for any inconvenience or confusion my earlier responses may have caused,” the chatbot replied with confidence.

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