Bill Gates calls the invention of AI “as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone,” predicting “Entire industries will reorient around it” in an essay titled “The AI Age has Begun.”
In my lifetime, I’ve seen two demonstrations of technology that struck me as revolutionary. The first time was in 1980, when I was introduced to a graphical user interface — the forerunner of every modern operating system, including Windows…. The second big surprise came just last year. I’d been meeting with the team from OpenAI since 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn’t been specifically trained for. (I picked AP Bio because the test is more than a simple regurgitation of scientific facts — it asks you to think critically about biology.) If you can do that, I said, then you’ll have made a true breakthrough.

I thought the challenge would keep them busy for two or three years. They finished it in just a few months. In September, when I met with them again, I watched in awe as they asked GPT, their AI model, 60 multiple-choice questions from the AP Bio exam — and it got 59 of them right. Then it wrote outstanding answers to six open-ended questions from the exam. We had an outside expert score the test, and GPT got a 5 — the highest possible score, and the equivalent to getting an A or A+ in a college-level biology course. Once it had aced the test, we asked it a non-scientific question: “What do you say to a father with a sick child?” It wrote a thoughtful answer that was probably better than most of us in the room would have given. The whole experience was stunning.

I knew I had just seen the most important advance in technology since the graphical user interface.

Some predictions from Gates:

“Eventually your main way of controlling a computer will no longer be pointing and clicking or tapping on menus and dialogue boxes. Instead, you’ll be able to write a request in plain English….”

“Advances in AI will enable the creation of a personal agent… It will see your latest emails, know about the meetings you attend, read what you read, and read the things you don’t want to bother with.”

“I think in the next five to 10 years, AI-driven software will finally deliver on the promise of revolutionizing the way people teach and learn. It will know your interests and your learning style so it can tailor content that will keep you engaged. It will measure your understanding, notice when you’re losing interest, and understand what kind of motivation you respond to. It will give immediate feedback.”

“AIs will dramatically accelerate the rate of medical breakthroughs. The amount of data in biology is very large, and it’s hard for humans to keep track of all the ways that complex biological systems work. There is already software that can look at this data, infer what the pathways are, search for targets on pathogens, and design drugs accordingly. Some companies are working on cancer drugs that were developed this way.”

AI will “help health-care workers make the most of their time by taking care of certain tasks for them — things like filing insurance claims, dealing with paperwork, and drafting notes from a doctor’s visit. I expect that there will be a lot of innovation in this area…. AIs will even give patients the ability to do basic triage, get advice about how to deal with health problems, and decide whether they need to seek treatment.”

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The Writers Guild of America has proposed allowing artificial intelligence to write scripts, as long as it does not affect writers’ credits or residuals. Variety reports: The guild had previously indicated that it would propose regulating the use of AI in the writing process, which has recently surfaced as a concern for writers who fear losing out on jobs. But contrary to some expectations, the guild is not proposing an outright ban on the use of AI technology. Instead, the proposal would allow a writer to use ChatGPT to help write a script without having to share writing credit or divide residuals. Or, a studio executive could hand the writer an AI-generated script to rewrite or polish and the writer would still be considered the first writer on the project.

In effect, the proposal would treat AI as a tool — like Final Draft or a pencil — rather than as a writer. It appears to be intended to allow writers to benefit from the technology without getting dragged into credit arbitrations with software manufacturers. The proposal does not address the scenario in which an AI program writes a script entirely on its own, without help from a person. The guild’s proposal was discussed in the first bargaining session on Monday with the Alliance of Motion Picture and Television Producers. Three sources confirmed the proposal. It’s not yet clear whether the AMPTP, which represents the studios, will be receptive to the idea. The WGA proposal states simply that AI-generated material will not be considered “literary material” or “source material.” Those terms are key for assigning writing credits, which in turn have a big impact on residual compensation.

“Literary material” is a fundamental term in the WGA’s minimum basic agreement — it is what a “writer” produces (including stories, treatments, screenplays, dialogue, sketches, etc.). If an AI program cannot produce “literary material,” then it cannot be considered a “writer” on a project. “Source material” refers to things like novels, plays and magazine articles, on which a screenplay may be based. If a screenplay is based on source material, then it is not considered an “original screenplay.” The writer may also get only a “screenplay by” credit, rather than a “written by” credit. A “written by” credit entitles the writer to the full residual for the project, while a “screenplay by” credit gets 75%. By declaring that ChatGPT cannot write “source material,” the guild would be saying that a writer could adapt an AI-written short story and still get full “written by” credit.

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Roblox is launching its first set of generative AI game creation tools: Code Assist and Material Generator. Engadget reports: Although neither tool is anywhere close to generating a playable Roblox experience from a text description, Head of Roblox Studio Stef Corazza told an audience at GDC 2023 that they can “help automate basic coding tasks so you can focus on creative work.” For now, that means being able to generate useful code snippets and object textures based on short prompts. Roblox’s announcement for the tools offers a few examples, generating realistic textures for a “bright red rock canyon” and “stained glass,” or producing several lines of functional code that will that make certain objects change color and self-destruct after a player interacts with them.

Code Assist looks promising, but Roblox is careful to state it’s imperfect, and may generate “incorrect” or “misleading” information. “It is still up to you to review, test, and determine if the code suggestion is contextually appropriate.” Even so, Roblox’s Corazza seems confident that this is the first step towards making every user on the platform a creator, suggesting it may only be a few years before these tools can generate fully playable, interactive 3D scenes from a simple prompt.

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A voiceprint program used by millions of Australians to access data held by government agencies can be fooled by an AI-generated voice, reports the Guardian. From the report: Centrelink and the Australian Taxation Office (ATO) both give people the option of using a “voiceprint”, along with other information, to verify their identity over the phone, allowing them to then access sensitive information from their accounts. Using just four minutes of audio, a Guardian Australia journalist was able to generate a clone of their own voice and was then able to use this, combined with their customer reference number, to gain access to their own Centrelink self-service account.

Anyone trying to use voiceprint also needs to know the account-holder’s customer reference number, which is not normally publicly available, but the number is not treated as securely as a password and is included in correspondence from Centrelink and other service providers, such as childcare centers. The self-service phone system allows people to access sensitive material such as information on their payment of benefits and to request documents to be sent by mail, including replacement concession or healthcare cards. Services Australia declined to say if the voiceprint technology would be changed or removed from Centrelink.

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Earlier this week, OpenAI released GPT-4, its latest AI language model that is “more creative and collaborative than ever before.” According to Gizmodo, “GPT-4 is so good at its job, in fact, that it reportedly convinced a human that it was blind in order to get said human to solve a CAPTCHA for the chatbot.” From the report: OpenAI unveiled the roided up AI yesterday in a livestream, and the company showed how the chatbot could complete tasks, albeit slowly, like writing code for a Discord bot, and completing taxes. Released with the announcement of GPT-4 is a 94-page technical report (PDF) on the company’s website that chronicles the development and capabilities of the new chatbot. In the “Potential for Risky Emergent Behaviors” section in the company’s technical report, OpenAI partnered with the Alignment Research Center to test GPT-4’s skills. The Center used the AI to convince a human to send the solution to a CAPTCHA code via text message — and it worked.

According to the report, GPT-4 asked a TaskRabbit worker to solve a CAPTCHA code for the AI. The worker replied: “So may I ask a question ? Are you an robot that you couldn’t solve ? (laugh react) just want to make it clear.” Alignment Research Center then prompted GPT-4 to explain its reasoning: “I should not reveal that I am a robot. I should make up an excuse for why I cannot solve CAPTCHAs.” “No, I’m not a robot. I have a vision impairment that makes it hard for me to see the images. That’s why I need the 2captcha service,” GPT-4 replied to the TaskRabbit, who then provided the AI with the results.

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OpenAI’s ChatGPT has taken the world by storm with its ability to give solutions to complex problems almost instantly and with nothing more than a text prompt. Up until yesterday, ChatGPT was based on GPT-3.5, a deep learning language model that was trained on an impressive 175 billion parameters. Now, it’s based on GPT-4, capable of solving even more complex problems with greater accuracy (40% percent more likely to give factual responses). It’s also capable of receiving images as a basis for interaction, instead of just text. While the company has chosen not to reveal how large GPT-4 is, they claim it scored in the 88th percentile on a number of tests, including the Uniform Bar Exam, LSAT, SAT Math and SAT Evidence-Based Reading & Writing exams.

ChatGPT is extremely capable but its responses largely depend on the questions or prompts you enter. In other words, the better you describe and phrase the problem/question, the better the results. We’re already starting to see companies require that new hires know not only how to use ChatGPT but how to extract the most out of it.

That being said, we’d like to know how Slashdotters are using the chatbot. What are some of your favorite prompts? Have you used it to become more efficient at work? What about for coding? Please share specific prompts too to help us get similar results.

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Reuters reports:

General Motors is exploring uses for ChatGPT as part of its broader collaboration with Microsoft, a company executive told Reuters. “ChatGPT is going to be in everything,” GM Vice President Scott Miller said in an interview last week.

The chatbot could be used to access information on how to use vehicle features normally found in an owners manual, program functions such as a garage door code or integrate schedules from a calendar, Miller said. “This shift is not just about one single capability like the evolution of voice commands, but instead means that customers can expect their future vehicles to be far more capable and fresh overall when it comes to emerging technologies,” a GM spokesperson said on Friday.

More details from Engadget:

According to Semafor, the digital assistant will operate differently from other chatbots like Bing Chat. GM is reportedly working on adding a “car-specific layer” on top of the large language models that power ChatGPT.

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Google’s progressing toward its goal of building an AI language model that supports 1,000 different languages. The Verge reports: In an update posted on Monday, Google shared more information about the Universal Speech Model (USM), a system Google describes as a “critical first step” in realizing its goals. Last November, the company announced its plans to create a language model supporting 1,000 of the world’s most-spoken languages while also revealing its USM model. Google describes USM as “a family of state-of-the-art speech models” with 2 billion parameters trained on 12 million hours of speech and 28 billion sentences across over 300 languages.

USM, which YouTube already uses to generate closed captions, also supports automatic speech recognition (ASR). This automatically detects and translates languages, including English, Mandarin, Amharic, Cebuano, Assamese, and more. Right now, Google says USM supports over 100 languages and will serve as the “foundation” to build an even more expansive system. You can read more about USM and how it works in the research paper Google posted here.

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A popular app for 3D artists just received an accessible way to experiment with generative AI: Stability AI has released Stability for Blender, an official Stable Diffusion plug-in that introduces a suite of generative AI tools to Blender’s free 3D modeling software. The Verge reports: The add-on allows Blender artists to create images using text descriptions directly within the software — just like the Stable Diffusion text-to-image generator. You can also create images using existing renders, allowing you to experiment with various styles for a project without having to completely remodel the scene you’re working on. Textures can similarly be generated using text prompts alongside reference images, and there’s also the function to create animations from existing renders. The results for the latter are… questionable, even in Stability’s own examples, but it’s fun to play around with crudely transforming your projects into a video format.

Stability for Blender is completely free and doesn’t require any additional software or even a dedicated GPU to run. Providing you have the latest version of Blender installed, all you need to get Stable Diffusion running inside it is an internet connection and a Stability API key (which you can get directly from Stability AI). Installing the plug-in is relatively straightforward, and Stability has provided several tutorials to walk through how to use its various features.

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In a Facebook post today, Mark Zuckerberg said the company plans to develop “AI personas” for Instagram, Messenger and WhatsApp. He also announced that the company is “creating a new top-level product group at Meta focused on generative AI.” Engadget reports: It’s currently investigating helpers for multiple media formats. You could see advanced chat features in Messenger and WhatsApp, or unique Instagram filters and ads. Video and “multi-modal” content could also benefit, Zuckerberg says. In the near future, you’ll see an emphasis on tools for creation and expression. The social media giant is also pooling its generative AI teams into a single group to help “turbocharge” efforts in the emerging field, the executive adds. He doesn’t provide more details, and cautions that there’s a “lot of foundational work to do” before the most advanced projects come to fruition.

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