Vint Cerf wants to give AI agents an identity


Soon the internet will be full of AI agents acting on our behalf. Right now, there is no reliable way to tell who stands behind any of them. Vint Cerf, one of the people who built the internet, wants to fix that.

Cerf co-designed TCP/IP, the protocol that lets the internet’s independent systems talk to each other. He left Google last week after 20 years. Now he is joining the advisory council of Innovation Labs, a group building an open identity layer for AI agents, the company announced.

The missing layer

The problem is simple to state. Most AI agents today live inside one company’s systems. But firms want them roaming the open web, dealing directly with other agents. There is no shared way to prove who owns an agent, or who answers for what it does.

Innovation Labs is a division of Identity Digital, a firm that runs domain-name registries. Its idea, called DNSid, would give each agent a lasting identity tied to an existing domain name, backed by cryptographic proof. It has already submitted the design to the internet’s main standards body.

Why Cerf signed up

The 💜 of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

Cerf frames it as the internet’s next big architectural problem. The trigger, he told TechCrunch, is “the question of what authorities they have, where they have derived those authorities, who is accountable.”

He expects it to be messy. “It’s going to be a fascinating, and at the same time maybe even exasperating, period,” he said. Rival standards are already appearing. Cerf thinks none will win on politics, only on what works, as happened with TCP/IP.

Keeping it open

The pitch is that no single tech giant should own the standard. Innovation Labs says it will not hold the registration data itself. “There’s a lot of organ rejection to a hyperscaler releasing a standard and having that proprietary data,” interim boss Allie Kline told TechCrunch. The group says it is already trialling the system with several unnamed cloud giants.

An agent-shaped internet

The stakes are rising because agents are spreading fast, from Amazon’s revamped Alexa to enterprise tools, and they are already causing trouble. Researchers have tricked them into leaking private code and even running a full ransomware attack. Regulators are scrambling too, from China’s new agent rules to Delaware’s plan to give agents a legal identity.

Cerf is not sure the agent-run internet is inevitable. But he thinks people will try to build it anyway. “We are fundamentally lazy creatures,” he said. If an agent can do a job for us, we will let it.



Source link

Leave a Reply

Subscribe to Our Newsletter

Get our latest articles delivered straight to your inbox. No spam, we promise.

Recent Reviews


YouTube has an AI slop problem, and its crackdown is catching legitimate creators in the crossfire. Faceless channels, where no human host ever appears on screen, have existed for years and are not inherently AI-generated.

Many are run by solo creators who simply prefer to stay anonymous. The problem is that AI tools made it easy to flood the platform with low-effort faceless content at scale, and YouTube’s algorithm is now penalizing the format as a whole.

How bad is the AI slop problem on YouTube?

A Kapwing study found that roughly 21% of the first 500 videos recommended to a new YouTube account were classified as AI slop, while 33% fell into a broader brainrot category. The problem extends to children, too, as more than 40% of YouTube Shorts recommended to kids in a 15-minute session contained low-quality AI content.

YouTube’s response has been to tweak its algorithm to favor videos with real human faces on camera, which is hitting faceless creators even when their content is entirely human-made.

How is YouTube tackling its AI slop problem?

YouTube is now testing a new pop-up on mobile that asks viewers to rate whether a video feels like AI slop, on a scale from “not at all” to “extremely.” The idea sounds reasonable, but crowdsourcing AI detection has real problems. People are bad at spotting AI content, and they are getting worse at it as AI capabilities continue to improve.

There are also legitimate concerns that YouTube could use this viewer feedback as training data for its own AI models, potentially making future AI-generated content even harder to spot.

🚨 Did you just see what YouTube did?

YouTube isn’t banning AI slop.. They’re making you label it so they can train their next model to not look like slop.

Read that again…

You flag the bad AI content. YouTube collects it. Google feeds it into Veo 4… Then next year their… https://t.co/8UC2J3mjjv pic.twitter.com/mIrTChqC1b

— Tuki (@TukiFromKL) March 17, 2026

Meanwhile, faceless creators are scrambling to adapt. According to The Hollywood Reporter, some are hiring cheap on-camera hosts through platforms like Fiverr and Upwork. Others are doubling down on niche educational content, which has held up better than broad content farms.

The AI text-to-video space is still valued at enormous sums, with Higgsfield AI alone sitting at $1 billion, but on YouTube, the math for faceless creators is getting harder to work out every month.



Source link