The AI Daily Brief: Artificial Intelligence News and Analysis - xAI Releases AI API

Episode Date: October 25, 2024

xAI has officially launched an API, allowing developers to build on top of Grok models. With access to Grok 2 and Grok 2 Mini, this move places xAI in direct competition with OpenAI and other leading foundation models. This episode explores what the API offers, how developers can leverage its features, and what makes xAI’s offering unique Concerned about being spied on? Tired of censored responses? AI Daily Brief listeners receive a 20% discount on Venice Pro. Visit ⁠⁠⁠https://venice.ai/nlw⁠⁠⁠ and enter the discount code NLWDAILYBRIEF. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Subscribe to the newsletter: https://aidailybrief.beehiiv.com/ Join our Discord: https://bit.ly/aibreakdown

Today on the AI Daily Brief, XAI has launched an API and many more stories. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. To join the conversation, follow the Discord link in our show notes. Welcome back to the AI Daily Brief Headlines Edition, all the daily AI news you need in around five minutes. Today, because I am traveling, we are doing an extended headlines edition. So basically the entire episode will be headlines. They'll be a little bit more in depth and we'll cover a few more topics, but there won't be a headlines and main episode division. We'll be back to more normal formats later in the week. We kick off with

some news out of XAI, which has launched their API to allow developers to build on top of the company's GROC models. The APIs can access GROC 2 and GROC 2 Mini, which are the latest multimodal models from XAI. Developers can also generate images using Black Forest Labs, Flux1 diffusion model. Now, some early users were reporting difficulty accessing anything other than a model referred to as GROC beta, so there could still be some teething issues going on. This launch moves XAI from early beta testing to a point where they are now openly competing against OpenAI and other foundation models. At the moment, it appears that XAI is priced at almost twice the cost of GPT-40, although it still comes in well below OpenAI's reasoning model 01. GROC2 is documented as feature

complete on par with other models, including text and code generation, as well as vision to process image inputs. The LLM also supports function calling. That said, these features aren't fully available yet and have no current timeline for release. This is an important moment in many ways because there are such a small number of companies that actually have the ability to compete when it comes to foundation models. And up until now, we really haven't seen what XAI is capable of. GROC and GROC 2 have been live within Twitter slash X for some time, but mostly get used to provide new summaries or generate images. That said, XAI is moving very quickly. The company raised $6 billion in May at a $24 billion valuation and immediately plowed the money into one of the fastest

and largest data center projects in history, building a 150 megawatt training supercluster. The first training run has reportedly begun with XAI training their next model on 100,000 H-100s. The big promise, of course, from this API and XAI in general is the ability to access and train on X data. That means the model has real-time access to social media feeds, which presumably you would think developers would find some interesting, unique thing to build using that data. Some of the most interesting details about the effort came from founding XAI employee Toby Pollan, who said that the entire system was written from scratch by six engineers over four months, a pretty insane effort. Ultimately, I think developers are excited to have another option and just

thrilled for more competition. Next up, we turned to a recent survey from KPMG. The company released its latest Digital Innovation quarterly Pulse survey and had some interesting insights around Gen. A.I. Adoption in the Enterprise, Vice Chair of AI and Digital Innovation, Steve Chase summed up the results saying, despite trending skepticism in the media around Gen AI, business leaders overwhelmingly see it as truly transformative. More and more, we're seeing levels of investment in tech, data, and talent to support Gen. AI that matches the potential disruption on the horizon. I don't think you guys need me to tell you that I completely agree with that sentiment. I basically spent the entire summer explaining why the skepticism headlines were just that.

But a couple of the interesting things from this survey, there's a lot of focus on AI leadership. One of the stats that I thought was most interesting was that 42% of leaders have or are planning to hire new AI leadership, which is up from 27% the previous quarter. What's more, it seems like leaders are leading when it comes to AI training. 70% of leaders have participated in mandatory AI training compared to only 28% of employees. Another interesting note, 52% of executive managers are using Gen AI versus 20% of entry-level employees. In fact, this study shows a reverse distribution where the more senior you are, the more likely to be using Gen A.I. Which is a statistic that I would love to push more into.

On the one hand, I can see this making sense from the standpoint that it is executives that are getting the most pressure to transform and remake their organizations for the AI era. but at the same time, I wouldn't be surprised if some of those reported numbers are soft and reflect the trend that we've seen over and over again of employees not being sure that they're actually willing to talk about their AI usage for a variety of reasons. Anyway, interesting stuff in that survey definitely worth checking out. Two things I feel qualified to talk about, organization and productivity apps and AI tools, which is why I am very happy that today's episode is sponsored by Notion. Notion combines your notes, docs, and projects into one space that's simple and beautifully designed.

And the new Notion AI has the capability of multiple AI tools built in, which means you can search, generate, analyze, and chat all inside Notion. The new Notion AI is a single AI tool that does it all. Search across Notion and other apps, generate docs in your own style, analyze PDFs and images, and chat with you about anything. Notion is a perfect place to organize your tasks, track your habits, write beautiful docs, and collaborate with your team. The more content you add to Notion, the more Notion AI can personalize its responses. for you. Basically, unlike generic chatbots, Notion AI already has the context of your work. There are also a bunch of great integrations. Notion uses AI knowledge from GBT4 and Claude. And with AI connectors, which is now in beta, Notion AI can also search across Slack discussions,

Google Doc, sheets and slides, and more tools like GitHub and Jira are coming soon. Notion is used by over half of Fortune 500 companies, but more importantly, it's used all day, every day, by me. Try Notion for free when you go to notion.com slash AI Daily Brief. That's all lowercase letters, notion.com slash AI Daily Brief to try the powerful, easy-to-use Notion AI today. And when you use that link, you're supporting the show. Once again, that's Notion.com slash AI Daily Brief. Today's episode is brought to you by Venice. The leading AI companies store your entire conversation history and attach it to your identity forever. That's every question you ask, every answer you receive, every image you generate, every thought

you share with the machine it's all being spied on. If you trust all the company's hackers and NSA board members that will ever have access to your AI conversations, then rejoice, for you are well-served. For the rest of us, Venice is an alternative. Venice is a powerful AI app for text, image, and code generation that respects you as a sovereign individual and believes privacy and free speech are not only human rights, but necessary for civilizational advancement. Private, permissionless, and uncensored, you can try it for free without an account. AIA Daily Brief listeners receive a 20% discount on Venice Pro. Visit venice.a.m. slash NLW and enter the discount code, NLW Daily Brief. That's NACA.

NLW Daily Brief, all one word. Today's episode is brought to you by Super Intelligent. Every single business workflow and function is being remade and reimagined with artificial intelligence. There is a huge challenge, however, of going from the potential of AI to actually capturing that value. And that gap is what Super Intelligence is dedicated to filling. Superintelligent accelerates AI adoption and engagement to help teams actually use AI

to increase productivity and drive business value. An interactive AI use case registry gives your company full visibility into how people are using artificial intelligence right now. Pair that with capabilities building content in the form of tutorials, learning paths, and a use case library. And superintelligent helps people inside your company show how they're getting value out of AI while providing resources for people to put that inspiration into action. The next three teams that sign up with 100 or more seats are going to get free embedded consulting. That's a process by which our super intelligent team sits with your organization, figures out the specific use cases that matter most to you, and helps actually

ensure support for adoption of those use cases to drive real value. Go to B-Super.a.I to learn more about this AI enablement network, and now back to the show. Next up, another big theme in the enterprise is, of course, agents, and yesterday Microsoft announced what they called new agentic capabilities, including 10 new autonomous agents in Dynamics 365, focused on sales, service, and supply chain teams. Now, one of the interesting things about this is that some folks have tried to draw a sharp contrast between the assistant era of AI and the agent era of AI. Chief among those is Mark Benioff from Salesforce, whose current press line is basically that Microsoft has sold the world a bill of goods and that assistants aren't really all that valuable, but where we'll really get business value

is in the agent experience. And oh, by the way, of course, check out Salesforce's agents. Unsurprisingly, probably, I think that the agent versus assistant thing is not actually in either or, it's a both-and, and you're going to see both of these experiences impact the enterprise in different ways. That said, of course, agents are a lot earlier in their life cycle, whereas there are some pretty breakout and default and regular use cases of assistance. Agents are really still getting up and running at this point, although certainly in areas like customer service, they're starting to become more de rigour and normal. There will be a lot to watch on the agent experience. If you're interested, something that I'm thinking about for at some point this year is a week-long

or so deep dive into the agent world, which might be something that we look at. doing in December. Next up, we've had a lot of fawning coverage for Perplexity recently, as, frankly, the product kicks butt, and the company seems to be doing great as well, but they are not without their struggles, as exemplified by yet another lawsuit against the company for copyright infringement. On Monday, News Corp sued Perplexity for allegedly, quote, engaging in a massive amount of illegal copying of publishers copyrighted works and diverting customers and critical revenues away from those copyright holders. The plaintiffs include Dow Jones, who published the Wall Street Journal, and the New York Post.

Perplexity CEO Aravan Shrinivas declined to comment on the lawsuit, however, did tweet, check out wsj.com today, where they had paid for a front page ad about perplexity's partnership with Uber. One of the things that makes the perplexity copyright cases different and interesting from, for example, those being levied at OpenAI, is that they're more about how the AI summary overviews take away and cause material harm to journalistic production versus those publishers having problems with the way that their material has been used in training. It's a super interesting wrinkle on the copyright question, and one that I think the answer to which could have a significant impact on how the industry evolves. Austin Schmidt pointed out that while startups may be defiant about these lawsuits, they could have real consequences. He writes, LLM content costs are about to skyrocket.

This is an advantage for Google. They have the advertiser base to monetize today. The others do not. Raising capital to fund insane losses is easy today, but let's certainly. back in a year. Staying on the copyright and training theme, the largest book publisher in the world, Penguin Random House, has changed their copyright page to reject AI training. The standard page in both new and reprinted books will now read, no part of this book may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems. The page also states to work

is expressly reserved from the text and data mining exception, a reference to EU data laws. Penguin Random House is the first major publisher to make this change as the battle around AI copyright heats up. The Verge writes, What gets printed on that page might be a warning shot, but it also has little to do with actual copyright law. The amended page is sort of like Penguin Random House's version of a Robots.t.txt file, which websites will sometimes use to ask AI companies and others not to scrape their content. But Robots.t.t.t.txt isn't a legal mechanism. It's a voluntarily adopted norm across the web. Copyright protections exist regardless of whether the copyright page is slipped into the front of the book,

and fair use in other defenses also exist, even if the rights holders say they do not. Basically, nothing about this changes the fact that this is going to have to be settled in court. author Corey Doctoro wrote a long thread on packing the takes commenting, These writers are assuming that just because they're on PRH's side, PRH is on their side. They're assuming that if PRH fights against AI companies training bots on their work for free, that this means PRH won't allow bots to be trained on their work at all. This is a pretty naive take.

What's far more likely is that PRH will use whatever legal rights it has to insist that AI companies pay for the rights to train chat bots on the books we write. It is vanishingly unlikely that PRH will share license money with the writers whose books are shoveled into the bots training hopper. It's also extremely likely that PRH will use the chatbots to erode our wages and fire us all together and replace our work with AI slop. I'm always a little bit hesitant to cover these very interstitial battles when it comes to copyright because, as I've said a million times and we'll unfortunately keep saying, no amount of chatter

on Twitter and no amount of pages on books is going to solve this. These are cases that are going to get litigated in court, and frankly, not going to be done until they get to the Supreme Court. Over in the world of AI and finance, the Securities and Exchange Commission is cracking down on the use of AI in the financial sector. The Division of Examination published their priorities next year with AI integration featuring heavily throughout. Investment advisors, brokers, and clearing agencies can expect the SEC to scrutinize their use of AI to ensure it meets regulatory standards. So far, during this phase of adoption, the SEC has largely focused on active misrepresentations

and fraud around AI. In March, the regulator sued two asset managers for making allegedly false claims about their AI enhanced training, while just last week, the SEC sued a robotics company for making misleading statements about their AI-powered robot. This will be the first time, that the SEC takes a closer look at the way compliant financial firms are using AI in their business. The agency will focus on things like adequate supervision and risk to customer records and information through the use of third-party tools. For advisory firms using AI to generate investment strategies, the SEC will be looking at whether these recommendations fit the high standards demanded of registered advisors. Basically, I think that this serves as a warning notice, that the

chatter is becoming real, and that the SEC is going to put a strong emphasis on figuring out the relationship of AI and finance. Lastly today, Uncle Sam wants you to join the AI Reserve Corps. The Defense Department is seeking to bring Silicon Valley's top talent into the military reserves. According to the Wall Street Journal, quote, the department is considering asking chief technology officers and other senior tech professionals to take up high-ranking positions in the reserves. The tech reservists would be periodically summoned to help with short-term projects in cybersecurity, data analytics, and other areas. Brent Permanade of the department's chief talent management officer said, we're creating this people industrial base that is going to help

us solve our national security problems and national security challenges in the decades to come. While the Marines already have a recruiting program for cybersecurity specialists, this would be the first time that tech specialists are brought in as paid reservists. Commitments would be in line with the 700,000 combat reserves to attend training one weekend a month and two weeks a year. They're eligible to be called up for active duty, which wouldn't be a case for the specialized tech reservists. Paramarader said, it's not like put down your keyboard and pick up a rifle. Parameter hopes to have the first group of military roles by September. The scope will start extremely small with just a dozen reservists. However, he hopes to expand the program to thousands

over the coming years. Some of the trickier issues are figuring out which branch of the military should house this unit and how to appropriately rank senior private sector executives once they join up. This is all part of a broader push to rethink the military's relationship with the tech world and to more effectively compete for top talent with the private sector. What's more, it's certainly in line with the broader shift that's happening right now, where things that were previously anathema, including using tech for defense purposes, have become some of today's hottest projects. That, however, is going to do it for today's daily brief. Appreciate you listening or watching as always. And until next time, peace.