Tech
The next hurdle for AI agents: getting websites to let them in
Personal AI agents, like Meta’s Muse, Instinct, ChatGPT’s Dots, and others, are kicking off a new wave of consumer AI that involves more than just responding to queries. These AI agents can actually get things done on users’ behalf, like booking flights, making dinner reservations, ordering groceries, and more, all without having to be technical enough to set up OpenClaw or some other agent on your own computer.
But consumers adopting these agents are often running into issues when the website on the other end of their request blocks the AI from completing the job.
Most recently, Amazon began blocking Meta’s Muse AI agent from its retail site, meaning that the agent could no longer browse or make purchases from its product catalog.
However, the problem is not limited to Amazon or Muse. User complaints across social media indicate their agents are often running into similar blocks. Some of these are intentional, like Amazon’s, while others are the result of websites’ traditional anti-bot measures designed to protect against spam and malicious activity.
What’s not clear to the end user is whether or not the block is accidental on the website owner’s part, which leaves them frustrated with both the service provider or retailer and the agent trying to facilitate the transaction.
For instance, TechCrunch has seen a handful of complaints on social media claiming that Muse couldn’t complete a purchase on Walmart’s retail website. (NBC also reported that this was a problem Walmart had faced in its tests of the AI agent.)
But a spokesperson for Walmart told us these weren’t intentional. In fact, Walmart is partnered with Muse, as was announced at Meta’s Connect developer conference in September. The company said it wants to be where its customers are, and that now includes being available through AI agent experiences.
The issue that Walmart customers often appear to be running into (see below) is that the website presents a button that has to be clicked to verify the visitor is human. If that experience is interrupted, the check could fail, and the agent gets booted out.
It’s an indication that the current technology we use to verify humans and keep websites safe from spam and bots may not be the best fit for the agent-first era of the web we’re now moving into.
To address this problem, industry partners including Meta, Walmart, Stripe, Sierra, Genesys, Rocket, NiCE, and Decagon have begun working on an open standard that would dictate how AI agents can communicate with businesses, helping to separate the good bots acting on behalf of the user and the bad. This protocol will be specifically focused on agent-to-agent communication for the purposes of online commerce, Meta said in a blog post.
In the meantime, consumer confusion abounds.
Although Walmart is at least trying to be accessible via AI agents, other companies aren’t so keen on the idea or haven’t fully embraced the technology.
For example, flight booking is currently one of the main use cases being positioned for agents, but many people have reported issues with airlines rejecting their agents’ requests.
Delta, for instance, told us that the company is taking steps to protect customers from unauthorized automated activity, and that if it were to open up to AI agents, it would have to be done with “security and the customer experience in mind.”
“While Delta does not currently have a partnership or integration that enables a third-party AI agent to shop for or book Delta flights on a customer’s behalf on our digital platforms, we’re continuing to evaluate how new technology, including external AI agents, could enhance the way customers engage with Delta,” said Delta’s General Manager of Global Communications, Heena Chavda, in response to our questions about whether or not it was blocking agents, as some users complained.
United was not quite as direct as Delta, but a spokesperson pointed us to the part of its Terms of Use policy, which says that the user agrees “not to use any robot, spider, other automatic device, or manual process to monitor or copy this website or the content contained therein or for any other unauthorized purpose without United’s prior written permission.” (United didn’t respond to a follow-up question about whether it was blocking specific personal AI agents, like Muse.)
Early adopters’ complaints across social media have referenced a number of brands that are reportedly blocking AI agents, including Yelp, eBay, Zillow, Pizza Hut, Adidas, and various airlines. Some believe that the blocking activity seems to have recently increased.
A couple of people even said eBay suspended their accounts because of their use of agentic AI. Another complained that Google kicked out Instinct while it was cleaning up their Gmail inbox for them.
Despite the push to have agents book tables at restaurants and other tedious tasks, Yelp told us that it doesn’t permit non-human traffic on its platform unless the agent has paid to access Yelp’s content and data through its data licensing program. That means agents trying to use its site to get a quote, add a user to a waitlist, or book them a table will likely fail if they don’t have a formal partnership with Yelp.
eBay told TechCrunch that its approach is not to prohibit all third-party shopping agents from completing purchases. Instead, its policies restrict unauthorized agents and actions, like automated scraping and model training.
Adidas, Zillow, and Pizza Hut either didn’t respond or declined to provide a comment by the time of publication.
One major company involved in this space is Cloudflare, which offers sites protection from AI agents that could be training on its data and managing other automated activity. Some suspect that Cloudflare and other content delivery networks (CDNs) like it are currently disrupting Muse traffic. This is attributed to a change to crawler defaults on September 15, which allows site owners to block AI training while allowing other types of bots. Existing sites that were previously set to block AI bots for security reasons were then shifted to block AI agents on any pages that had ads.
However, when we asked if Cloudflare had any insight into what was happening with the blocking of these personal AI agents, like Muse and others, the company said it didn’t have any specific data to share at this time. It pointed us instead to its free public data hub, Cloudflare Radar. The site shows the increase in bot activity (which Cloudflare has also commented on previously), but it doesn’t help differentiate between the good bots and the bad ones.
Cloudflare also has a vested interest in mitigating AI traffic to websites, as it now runs a marketplace where AI bots have to pay for the data they access. It recently began testing a new web browser built specifically for AI agents.
Given the rapidly evolving space, Meta’s decision to form specific brand partnerships for Muse access seems to be the right way to go, as is its decision to focus on new standards. In doing so, it assures its customers that its agent, at least, is welcome at these partners’ sites — so any issues with access would be reportable bugs.
Meta also maintains a list of “connectors” (a.k.a. partners) inside the Muse app, which continues to grow. Many of Meta’s newly announced partners haven’t yet shown up in this list. But given Muse’s rapid expansion, which now includes partnered tools for small businesses, a bigger reorganization of Muse’s connector list is likely soon to be underway.
“Turning away a personal agent means turning away the customer behind it. We’d rather work with businesses to address the underlying concerns than see them lose that customer,” Meta said in its announcement about the newly announced plans to develop a standard. “There is a path that is good for users and good for businesses. It starts with clear norms, gives businesses more predictable control, and evolves toward a more efficient way for agents to work together.”
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Tech
How to find out if Amazon thinks you have ‘flat buttocks’
It shouldn’t come as a surprise that Amazon collects data about you based on what you buy. If you buy a lot of cat litter, Amazon will probably infer that you have cats, or if you buy a lot of anti-acne skin products, then Amazon might guess you’re prone to breakouts. Even if we know that Amazon customizes our shopping experiences based on our purchase history, it still comes as a surprise to see all of these personal details laid out in a convenient list. Especially when those details get uncomfortably intimate.
One Threads user came across this section of her Amazon settings, where you can see who the shopping giant thinks you are, and alongside more benign assumptions like “Shops from women’s departments” and “Probably owns a Shark robot vacuum,” she found that Amazon assumes she “has flat buttocks.”
“I stumbled upon a page of assumptions that Amazon has made about me based on my purchases and I’m literally speechless,” an Amazon customer, @fangirlinmegan, wrote on Threads. “I mean it ain’t wrong but damn did you have to call me out like that?”
In less than a day, the post garnered over a million views, including many from users who were curious what their own Amazon profiles might reveal. Here’s how you find out.
On desktop, you can find this page by hovering over where Amazon says “Hello, [your name]” in the upper right corner. Then click “Account” under the “Your Account” section. Under the “Ordering and shopping preferences” section, click “Your Shopping preferences.” From here, you can add in information of your own, like your shoe size, interests, and dietary preferences. But we’re not here to tell Amazon that it should stop selling you beef jerky since you’re a vegetarian. We’re here to see if Amazon thinks you have “flat buttocks.” When you scroll to the bottom of the page, you’ll see a blue hyperlinked option that says “Manage your information.” Once you click that, you’ll see what dirt Amazon has on you.
On the mobile app, you can get here by clicking the hamburger icon from the bottom menu bar, then navigating to “Account” > “Shopping preferences” > “About you.”
For me, Amazon has gleaned that I am someone who “practices photography,” “plays collectible card games,” and is “invested in the Apple ecosystem.” This is all true. Amazon has even flattered me by noting that I “read diverse non-fiction,” to which I say — why yes, I am indeed an open-minded intellectual with a thirst for knowledge. Thank you for noticing.
Other colleagues of mine found that Amazon correctly noted their interests in vinyl records and ceramics, as well as a penchant for “natural materials” in home decor and clothing that “prioritizes comfort.” None of us had anything as affronting as “has flat buttocks,” but the Threads user noted that this was likely because she had purchased “butt scrunch leggings.”
Tech companies know too much about us, and it’s jarring to realize just how closely they’re paying attention to how we use their platforms. We live in a world of alarming surveillance, but at least I know that Amazon doesn’t think my butt is flat.
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Tech
Apple is reportedly partnering with LG to launch a smart lock, thermostat, and doorbell
Apple is working on a new ecosystem of smart home devices via a partnership with LG, Bloomberg has reported.
The new devices — which include a smart lock, a thermostat, and a doorbell — are designed to integrate with the company’s smart home hub, another upcoming product that will reportedly launch on Oct. 13th. That hub is expected to include a 6-inch square display that can be placed on a countertop or mounted on a wall.
The two companies are also working on a slate of security cameras, including models for indoor, outdoor and a floodlight. The LG devices are expected to be announced, if not formally released, next week, too. TechCrunch reached out to Apple for more information.
Interestingly, the devices will reportedly carry the LG brand — despite being developed by both companies.
The new products could aptly be read as a swipe at Amazon’s smart home offerings, which currently offers a variety of similar products, including its Ring home security cameras.
Apple has sought to push into new territory with its recent hardware releases. One of those new territories is an expanded smart home presence.
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Tech
Ex-Ramp engineers raise $20M for platform Melius after scrapping their first product
Melius, an AI platform for generating ad campaigns, images, and videos, announced on Tuesday that it raised a total of $25 million in funding, including a $20 million Series A led by CRV and a $5 million seed round led by General Catalyst.
While the startup claims to have hit more than $1 million in annualized revenue within two months of coming out of stealth in July, co-founder Joowon Kim (pictured on right) admits that Melius didn’t hit it out of the park initially.
When the New York-based company first launched over a year ago, Kim and his co-founders, Young Kim (pictured on left) and Arnav Ramu (pictured center) set out to build an AI-powered performance marketing tool. The three knew each other from working as engineers at Ramp, the corporate spending and finance software company.
More than six months after building the product, the co-founders decided their original idea didn’t “have legs,” Joowon Kim told TechCrunch.
Instead of helping marketers manage and optimize ad spend, the team chose to focus on what it saw as a much larger opportunity: building the tools that generate the creative assets and campaigns themselves.
“We scrapped the entire codebase; we burned all of it,” Kim said. Melius quickly went to work on an entirely new product. Nearly a year after its initial launch, it revealed a platform that it describes as an “agents lab for creative work.”
Melius is far from the only startup helping ad agencies, marketers, and brands generate creative assets and campaigns with AI. Competitors include rapidly growing Higgsfield, which was valued at $5.4 billion in August, as well as other small startups, including Krea and Flora AI.
Kim isn’t concerned about the competition.
He acknowledged that Higgsfield, a three-year-old that has hit over $700 million in annualized revenue, “is growing like mad,” but according to Kim, the size of the market is so large that it can support multiple competitors.
“There are a lot of players, which is pretty exciting,” he told TechCrunch. “That means there are customers to be won and there is demand in this space.”
As for why former Ramp engineers are building an ad generation product, Kim, who describes himself as a social media influencer, says he has been passionate about making short videos since elementary school and once dreamed of becoming a famous YouTuber.
“I tried my best to make vlogs,” he said. “My dad was great at using FinalCut Pro, but I wasn’t.”
Those early vlogs never quite took off, but his fascination with making digital media remained.
Now, with Melius, he’s building the tool he always wanted: a platform where anyone, including seasoned creative directors, can turn their ideas into reality using plain language.
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