Summary created by Smart Answers AI
In summary:
- PCWorld reports that AI agents currently struggle with basic tasks like booking reservations due to lack of standardized tools and coordination methods.
- A new standard called Agentic Resource Discovery (ARD), backed by Google, Microsoft, and Nvidia, aims to create a “Google Search for AI” to help agents find online services.
- This standardization could transform the chaotic “agentic web” into an efficient system where AI agents perform complex tasks reliably and effectively.
AI is coming for us, they keep saying. We’ll all have AI agents acting on our behalf, doing everything from our weekly grocery shopping to booking airline tickets. It’s gonna change everything, just like the web did!
So, why do AI agents still seem to suck at everything? I’ve written before about the trials and tribulations of getting an AI agent to book a dinner reservation. As of now, they’re so slow and clunky, it’s way easier to just fire up OpenTable and do it yourself.
To understand why AI agents still struggle getting stuff done, just step in a time machine and dial up the year 1995. Back then, the nascent “World Wide Web” was very much like today’s so-called “agentic” web – in short, a mess.
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There were web sites popping up left and right, but no easy way to find them. Google was still years away, and staffers at Yahoo were building out web directories by hand. Web crawlers were starting to appear, but there weren’t any agreed-upon standards for web sites to tell those crawlers what they were all about. If you stumbled upon a site, you might not know what it was, who it was for, if it was credible, or whether it was even safe.
That chaotic, 1995-era state of the web is similar to where we are now with the “agentic” web. Just like users struggled to find URLs back in those days, so do AI agents struggle to find the tools they need to actually get things done online. When you ask an AI agent to book you a dinner reservation and it can’t, that’s a symptom of an agent that can find the right tool for the job.
That brings us to a new standard called Agentic Resource Discovery, or ARD for short. Developed with the backing of Google, Microsoft, Nvidia, and other tech giants, ARD is a standardized “discoverability” layer that allows an online service to say to the world, “Here’s what I am, here’s what I do, and here’s my menu of AI tools.” That information could then be crawled, indexed, and ranked by agentic discovery services, which in turn could be searched by AI agents.
So yes, we’re essentially talking Google Search for AI, which would make it way easier for an AI agent to — among many other things — find a reputable and agent-ready restaurant reservation service, discover which tools it offers, employ the right authentication methods, and book that table, all on its own.
Can ARD help tame today’s chaotic agentic web? Google, Microsoft, and Nvidia sure hope so. But if ARD isn’t the answer, something else needs to be.
More in AI this week
- When will Claude Fable come back? That’s still an open question, but the Fable ban highlights a practical AI lesson: Don’t put all your eggs in one basket. (PCWorld)
- An expert on AI deepfakes admits he’s having a harder time telling what’s real and what’s not. (NYT)
- Even if you don’t want ChatGPT poking around your system, it can still give your PC a health check. Here’s an easy and hands-off way to do it. (PCWorld)
- Should AI use be taxed, and if so, how? Among the proposals: taxes on AI tokens, along with taxes on AI agents. (NYT)
- The use of “AI” in a brand’s marketing message is a turnoff, according to 60 percent of respondents in a recent WordPress survey, while seven out of 10 believe the internet feels “less human” than it did 10 years ago. (WordPress)
- You’d think court stenographers would be among the first to be replaced by AI, right? Think again. (WSJ)
Prompt of the week: The “compress this chat” prompt
Whether you’re using ChatGPT, Claude, or Genini, your favorite AI chatbot will start to forget things if your thread gets too long. With their limited context windows, today’s LLMs can only remember so much at once, and once a conversation grows to a certain size, something has to go.
Luckily, the best AI tools (like the ChatGPT and Claude clients) can automatically compress lengthy chats. But there’s also a way to make any AI chatbot “compact” a thread that’s grown too long, allowing you to start fresh in a new chat that “reboots” the thread while retaining the essentials of your conversation. All you need is this prompt.
That’s all for now!
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