The AI Daily Brief: Artificial Intelligence News and Analysis - AI Agents -- The Latest Push from Microsoft and Salesforce

Episode Date: September 19, 2024

Microsoft and Salesforce are leading the charge with their latest AI agent offerings. Microsoft recently announced updates to its 365 suite with Copilot Agents, designed to handle business tasks autonomously. Meanwhile, Salesforce introduced new AI agents at Dreamforce, integrating them with Slack and charging per conversation. The AI agent competition is heating up, with Workday and startups like Auto entering the scene. Learn how to use AI with the world's biggest library of fun and useful tutorials: https://besuper.ai/ Use code 'youtube' for 50% off your first month. 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, Microsoft and Salesforce both announced new AI agents. Before then, in the headlines, Gavin Newsom signs some AI bills but says that he's concerned about SB 1047. 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.

Currently in San Francisco, Dreamforce is going on, which is Salesforce. This big annual event, where they do a lot more than talk about just Salesforce. In the main episode today, we'll talk a little bit about some of their announcements, particularly AI agents and Slack. But one of the more interesting conversations that happened was California Governor Gavin Newsom speaking with Salesforce CEO Mark Beniof, during which he actually live signed three AI-related bills focused on election ads and deepfakes on stage. Bloomberg says the bills he has signed are aimed at cracking down on the use of artificial

intelligence that aims to deceive voters in political ads, as well as legislation that provides new safeguards for actors and musicians and other entertainers over their digital likenesses. Now, while SB 1047 might be the most controversial legislation, apparently it's not the only controversial legislation. Elon Musk tweeted, the governor of California just made this parody video illegal in violation of the Constitution of the United States. Would be a shame if it went viral. This is a Kamala Harris campaign ad parody from back in July. Now, Elon already has 14.5 million views on that, so that debate is likely to heat up. When it comes to SB 1047, however, Newsom said that he was concerned about the bill, particularly he's worried about a potential

quote-unquote chilling effect on the development of AI. During that conversation with Mark Benioff, he said, we dominate this space and I don't want to lose that. He said that one of the issues is the weighing of risks that are demonstrable versus hypothetical and pointed out that, quote, the impact of signing wrong bills over the course of a few years could have a profound impact on the state's competitiveness. We haven't had much of a chance to get into this, but one of the things that's interesting about OpenAI's new O1 model release, which was of course previously known as Strawberry or Q Star internally, is that it takes a different approach to scaling than just throwing more compute at the issue. Roheap points out, so now that you can scale

inference time compute to get better answers, what's the fate of SB 1047 or the various AI acts that anchored on training flops? Basically, one of the concerns for people who are opposed to SB 1047 is that any sort of numbers or delimiters you put on model size or cost are likely to not make any sense in a very short amount of time. The fact that we almost immediately got a model that was organized and trained differently seems to be at least some evidence that that could be an issue. Newsom has until the end of the month to sign or to veto SB 1047, and I will of course keep you posted as that evolves. Interesting news from Microsoft and BlackRock, they have formed a new group to go out and raise $30 to $100 billion to invest in AI data centers. The companies are two of the leaders

in what's called the Global Artificial Intelligence Infrastructure Investment Partnership, or GAIIP, which also includes global infrastructure partners, which is an infrastructure investor that is being acquired by BlackRock, and MGX, which is a tech investor based in the United Arab Emirates. MGX has G42, the controversial UAE company that Microsoft recently made a minority investment in as one of its founding partners. Between this and Sam Altman's plans to go raise trillions for a global AI infrastructure initiative, it's clear that this buildout just continues to ramp up. Beliegered Intel has announced its plans to deal with flagging fortunes. The company is planning to spin out its Foundry business and at the same time announced a big chip deal with AWS.

Now, this transition to having a Chip Foundry division was supposed to be Intel's big comeback play. However, it hasn't worked out as well as they had hoped. And so now they're transitioning Intel Foundry to become an independent subsidiary that will gain an operating board, including independent directors, even though its leadership won't change and the subsidiary will remain inside the Intel company. Intel also announced that the new foundry company would pause chip fabrication projects in Poland and Germany for two years, but that at the same time, they had signed a deal with AWS to co-develop an AI chip with Intel's 18-A chip fabrication process. The AWS deal was described as a, quote, multi-year, multi-billion dollar framework, and overall, the market liked what they heard.

The combination of announcements sent Intel up 6%. Although it is still, been a really rough year for that company. Lastly, today, 01 continues to roll out, bringing better reasoning to a variety of different applications. One of the latest is Perplexity, where CEO, Ravin Shrinivas said, we've added a new reasoning focus on perplexity for pro users. It will use the new OpenAI 01 Mini. There's no search integration yet. The model is slow and usage is limited because of rate limits. It's good for puzzles, math, and coding. Pro searches are your best way to use multi-step reasoning and web search. I think it's fair to say that we are still very early and figuring out what the better reasoning capabilities of 01 are really going to be most useful for,

but with the model coming to places like perplexity, there will be many more shots on goal to figure that out. That's going to do it for today's AI Daily Brief Headlines edition. Next up, the main episode. Today's episode is brought to you by Venice. Venice is a private, uncensored, generative AI app. It accesses open source models to enable text, image, and code generation without the fear of being spied on or having your data exploited. Discuss anything with Venice without concern about it being monitored, sold, or given to advertisers and governments. Venice is different because your conversations and creations are kept securely within the browser, never stored or accessible by Venice. Unlike other AI apps, Venice won't tell you what's okay

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using code so back, you will get your first month 100% free. Go to be super.a.I. And check it out today. Welcome back to the AI Daily Brief. Today we are talking about one of the persistently hot topics that has lurked around ever since the beginning of this whole wave of generative AI, but which remains an elusive, if exciting part of the future. As you'll see today, though, big tech is making a bet that that future is increasingly here, and we are, of course, talking about agents. However, to set this up, let's get the context of what Microsoft has called its co-pilot wave two. This was an announcement from earlier this week, where Microsoft wrote, we're launching the next wave of Microsoft 365 copilot, bringing together web and work and pages

as a new design system for knowledge work. So there are three big parts of this wave two announcement. First, they announced something called co-pilot pages, which they characterized as a dynamic, persistent canvas designed for multiplayer AI collaboration. Second, they made a big update around copilot in the Microsoft 365 set of apps. They've updated copilot and PowerPoint and Outlook, and they've also now tried to add advanced data analysis in Microsoft Excel. Excel and spreadsheets have historically been sort of a little bit behind when it comes to the value of generative AI, so it's notable that they're now trying to bring those capabilities into that particular product.

Finally, and most relevantly for this conversation, they announced that they're introducing co-pilot agents, quote, making it easier and faster than ever to automate and execute business processes on your behalf. There's a lot that's interesting in here. Co-pilot pages does seem like a potentially really interesting interface, given that teams need to collaborate on various issues and use AI together. It seems to me that the introduction of pages reflects the same sort of impulse that we're seeing at companies like Anthropic, where we're moving into an era where it's not just about capabilities, but also about user interface and user experience. As I mentioned, I think when it comes to the 365 updates. The Excel update is the one that I'm most interested to see how it

evolves. As Fortune puts it, Excel now has the ability for generative AI to automatically compose code in Python directly in Excel and use that to automatically run sophisticated data analysis tasks, including forecasting and data visualization. Still, obviously the big thing, and where most of the conversation is focused, is on this agent idea. There's not that much more info about agents that was released. The Verge writes, the agents act like virtual employees to automate tasks. Instead of co-pilot sitting idle waiting for queries like a chatbot, it will be able to actively do things like monitor email inboxes and automate a series of tasks or data entry that employees normally have to do manually. What's interesting about this is more

the fact that this battle is finally coming to the actual marketplace rather than just being theoretical. All of the big tech companies are of course working on agentic AI, but Microsoft was the second big company to actually put production-ready agents into the market. Salesforce announced its agent platform earlier this month and at Dreamforce yesterday discussed a new set of Slack AI agents as well. Slack announced that it would support agents from Adobe, anthropic co-hear perplexity writer and others, as well as, of course, Salesforce agents. Now, one of the interesting implications of this is, of course, around the business model. Bloomberg writes, Salesforce's new AI strategy acknowledges that AI will take jobs.

They continue, the way that they frame it is Salesforce unveiling a pivot, quote, now saying that its AI tools can handle tasks without human supervision and changing the way it charges for software. Basically, Salesforce is charging $2 per conversational. held by its agents, which is a totally different approach to pricing. As Bloomberg points out, the goal is not only to have a business model that matches the actual activity, but also to, quote, protect Salesforce if AI contributes to future job losses, and business customers have fewer workers to buy subscriptions to the company's software. Now, Salesforce for its part is really pushing the idea that agents aren't just an alternative to the assistant or co-pilot era

of AI, but that they are actually the answer to dissolution business customers. In a statement and the company wrote that the AI agents, in contrast to now outdated co-pilots and chatbots, that rely on human requests and struggle with complex or multi-step tasks. In his speech, Salesforce CEO Mark Benioff argued that the new AI agents will be highly accurate and secure because of how much customer data Salesforce already holds, in contrast to, quote, those nasty co-pilots. TechCrunch explored the Slack dimension of this, writing Slack is turning into an AI agent hub. Should it?

Basically, the piece questions whether agents are really important. for Slack. However, along with agents is coming a different vision. CEO Denise Dressor said that they're trying to make Slack not simply a work messaging platform, but rather a digital workplace that brings all of your people and processes together. Now, if you've been following along with the headlines that Klarna's CEO announced that they were going to drop Salesforce and workday to build their own AI replacements, that got mentioned at this event as well. Beniof said that he's very skeptical and wants to see some proof that the company is actually doing it, basically accusing them of just trying to grab headlines. Speaking of Workday, they also held a big event this week, rough timing given that it's

happening the same time it's Dreamforce, and they as well announce four new AI agents. The four agents are called Recruiter, Expenses, Succession, and Optimize. From CIO.com, recruiter helps source candidates recommend talent and automate outreach, expenses, quote unquote, virtually eliminates the need for manual expense reporting. Succession automates the succession planning process by prompting managers to update succession plans. And you get the idea. These are all. verticalized task or domain focused agents. Of course, it's not just big tech. You are starting to see more agentic AI actually come to market from startups as well. One that I've been watching is called Auto, which is described by founder Sully Omar. Auto lets you use AI agents within tables to automate

hours of manual research in a few minutes. The point is, after a very long time in development, the first wave of agents is actually being brought to market. The question, of course, is, will these agents actually be able to do something useful, or are they still not quite there yet. That is going to be a big exploration over the coming months, and one I will be excited to share with you here. For now, though, that's going to do it for today's AI Daily Brief. Until next time, peace.