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Anthropic’s ‘friendly’ AI chatbot, Claude, is now available for more people to try


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Illustration by Alex Castro / The Verge

Claude, the AI chatbot that Anthropic bills as easier to talk to, is finally available for more people to try. The company has announced that everyone in the US and UK can test out the new version of its conversational bot, Claude 2, from its website.

Its public availability allows Claude to join the ranks of ChatGPT, Bing, and Bard, all of which are available to users across numerous countries. That means we all have one more AI chatbot to play around with, but Anthropic says to “think of Claude as a friendly, enthusiastic colleague or personal assistant who can be instructed in natural language to help you with many tasks.”

Claude, which Anthropic also describes as “helpful, harmless, and honest,” can do things like create summaries, write code, translate text, and more. While this may sound a lot like Google’s Bard or Microsoft’s Bing chatbot, Anthropic says it’s built differently than those bots. It has a more conversational tone than its counterparts — and supposedly even has a sense of humor. (I’ll have to test that out for myself.) It’s also guided by a set of principles, called a “constitution,” that it uses to revise its responses by itself instead of relying on human moderators.

While the Google-backed Anthropic initially launched Claude in March, the chatbot was only available to businesses by request or as an app in Slack. With Claude 2, Anthropic is building upon the chatbot’s existing capabilities with a number of improvements. In addition to the ability to craft longer responses, Claude 2 is also slightly more skilled in math, coding, and reasoning when compared to the previous Claude model.

As an example, Anthropic says Claude 2 scored a 76.5 percent on the multiple choice section of the bar exam, while the older Claude 1.3 got a 73 percent. Claude 2 is also two times better at “giving harmless responses,” according to Anthropic. That means it should be less likely to spit out harmful content when you’re interacting with it when compared to the previous model, although Anthropic doesn’t rule out the possibility of jailbreaking.

Unlike Bard and Bing, however, Claude 2 still isn’t connected to the internet and is trained on data up to December 2022. While that means it can’t surface up-to-the-minute information on current events (it doesn’t even know what Threads is!), its dataset is still more recent than the one that the free version of ChatGPT uses. (ChatGPT’s knowledge cuts off after 2021.) Sandy Banerjee, a representative for Anthropic, tells The Verge you can still feed Claude a recently published website or webpage, and it should be able to field queries about it.

Additionally, Anthropic recently expanded Claude’s context window to around 75,000 words. That means you can upload dozens of pages to the bot, or even an entire novel, for the bot to parse. So if you need a quick summary of a complicated and very long research paper, Claude’s your bot. Other models have much smaller limits, with ChatGPT sitting at a maximum of around 3,000 words. Now that Anthropic is publicly available, I’m looking forward to giving this a try and seeing if a longer context window is enough to throw this “harmless” bot off the rails, as we saw with Bing.

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FTC investigating OpenAI on ChatGPT data collection and publication of false information


OpenAI CEO Samuel Altman Testifies To Senate Committee On Rules For Artificial Intelligence
Photo by Win McNamee / Getty Images

The Federal Trade Commission (FTC) is investigating ChatGPT creator OpenAI over possible consumer harm through its data collection and the publication of false information.

First reported by The Washington Post, the FTC sent a 20-page letter to the company this week. The letter requests documents related to developing and training its large language models, as well as data security.

The FTC wants to get detailed information on how OpenAI vets information used in training for its models and how it prevents false claims from being shown to ChatGPT users. It also wants to learn more about how APIs connect to its systems and how data is protected when accessed by third parties.

The FTC declined to comment. OpenAI did not immediately respond to requests for comment.

This is the first major US investigation into OpenAI, which burst into the public consciousness over the past year with the release of ChatGPT. The popularity of ChatGPT and the large language models that power it kicked off an AI arms race prompting competitors like Google and Meta to release their own models.

The FTC has signaled increased regulatory oversight of AI before. In 2021, the agency warned companies against using biased algorithms. Industry watchdog Center for AI and Digital Policy also called on the FTC to stop OpenAI from launching new GPT models in March.

Large language models can put out factually inaccurate information. OpenAI warns ChatGPT users that it can occasionally generate incorrect facts, and Google’s chatbot Bard’s first public demo did not inspire confidence in its accuracy. And based on personal experience, both have spit out incredibly flattering, though completely invented, facts about myself. Other people have gotten in trouble for using ChatGPT. A lawyer was sanctioned for submitting fake cases created by ChatGPT, and a Georgia radio host sued the company for results that claimed he was accused of embezzlement.

US lawmakers showed great interest in AI, both in understanding the technology and possibly looking into enacting regulations around it. The Biden administration released a plan to provide a responsible framework for AI development, including a $140 million investment to launch research centers. Supreme Court Justice Neil Gorsuch also discussed chatbots’ potential legal liability earlier this year.

It is in this environment that AI leaders like OpenAI CEO Sam Altman have made the rounds in Washington. Altman lobbied Congress to create regulations around AI.

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OpenAI will use Associated Press news stories to train its models


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Illustration by Alex Castro / The Verge

OpenAI will train its AI models on The Associated Press’ news stories for the next two years, thanks to an agreement first reported by Axios. The deal between the two companies will give OpenAI access to some of the content in AP’s archive as far back as 1985.

As part of the agreement, AP will gain access to OpenAI’s “technology and product expertise,” although it’s not clear exactly what that entails. AP has long been exploring AI features and began generating reports about company earnings in 2014. It later leveraged the technology to automate stories about Minor League Baseball and college sports.

AP joins OpenAI’s growing list of partners. On Tuesday, the AI company announced a six-year deal with Shutterstock that will let OpenAI license images, videos, music, and metadata to train its text-to-image model, DALL-E. BuzzFeed also says it will use AI tools provided by OpenAI to “enhance” and “personalize” its content. OpenAI is also working with Microsoft on a number of AI-powered products as part of Microsoft’s partnership and “‘multibillion dollar investment” into the company.

“The AP continues to be an industry leader in the use of AI; their feedback — along with access to their high-quality, factual text archive — will help to improve the capabilities and usefulness of OpenAI’s systems,” Brad Lightcap, OpenAI’s chief operating officer, says in a statement.

Earlier this year, AP announced AI-powered projects that will publish Spanish-language news alerts and document public safety incidents in a Minnesota newspaper. The outlet also launched an AI search tool that’s supposed to make it easier for news partners to find photos and videos in its library based on “descriptive language.”

AP’s partnership with OpenAI seems like a natural next step, but there are still a lot of crucial details missing about how the outlet will use the technology. AP makes it clear it “does not use it in its news stories.”

Did you miss our previous article…
https://eyespypro.com/congressistrying-to-stop-discriminatory-algorithms-again/

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Congress is trying to stop discriminatory algorithms again


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Photo by Amelia Holowaty Krales / The Verge

US policymakers hope to require online platforms to disclose information about their algorithms and allow the government to intervene if these are found to discriminate based on criteria like race or gender.

Sen. Edward Markey (D-MA) and Rep. Doris Matsui (D-CA) reintroduced the Algorithmic Justice and Online Platform Transparency Act, which aims to ban the use of discriminatory or “harmful” automated decision-making. It would also establish safety standards, require platforms to provide a plain language explanation of algorithms used by websites, publish annual reports on content moderation practices, and create a governmental task force to investigate discriminatory algorithmic processes.

The bill applies to “online platforms” or any commercial, public-facing website or app that “provides a community forum for user-generated content.” This can include social media sites, content aggregation services, or media and file-sharing sites.

Markey and Matsui introduced a previous version of the bill in 2021. It moved to the Subcommittee on Consumer Protection and Commerce but died in committee.

Data-based decision-making, including social media recommendation algorithms or machine learning systems, often lives in proverbial black boxes. This opacity sometimes exists because of intellectual property concerns or a system’s complexity.

But lawmakers and regulators worry this could obscure biased decision-making with a huge impact on people’s lives, well beyond the reach of the online platforms the bill covers. Insurance companies, including those working with Medicaid patients, already use algorithms to grant or deny patient coverage. Agencies such as the FTC signaled in 2021 that they may pursue legal action against biased algorithms.

Calls to make more transparent algorithms have grown over the years. After several scandals in 2018 — which included the Cambridge Analytica debacle — AI research group AI Now found governments and companies don’t have a way to punish organizations that produce discriminatory systems. In a rare move, Facebook and Instagram announced the formation of a group to study potential racial bias in its algorithms.

“Congress must hold Big Tech accountable for its black-box algorithms that perpetuate discrimination, inequality, and racism in our society – all to make a quick buck,” Markey said in a statement.

Most proposed regulations around AI and algorithms include a push to create more transparency. The European Union’s proposed AI Act, in its final stages of negotiation, also noted the importance of transparency and accountability.

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