Search profiles are a dedicated, shareable space to highlight content across social media, video and news platforms, and help audiences find accurate and up-to-date information about sources on Search.

People can easily follow a source from their new Search profile, so they’re more likely to see content from that source on Discover on the Google app.

Search profiles give publishers and creators a central place to showcase their latest articles, videos and social posts. People can easily follow sources from their profile, so they’re more likely to see that content on Discover, found on the home screen of the Google app. Search profiles can be accessed on mobile via a creator or publisher’s knowledge panel (the information box on Search for notable people, places and things), by tapping the name of a publisher or creator on Discover, or through a direct URL.

To start, publishers and creators with a sizable following on at least one major social or video platform can claim their Search profile and customize it with an avatar, bio, website, social media and video platforms, and other important content. Claiming a profile may trigger the creation of a knowledge panel for eligible publishers and creators. If you already have a knowledge panel, it will be enhanced with your updated avatar, latest content, and a direct profile link.

Search profiles will initially launch in the US. In the future, we’ll look to expand Search profiles to more publishers and creators around the world, and add more capabilities to make profiles even more useful. We look forward to seeing how these new profiles help publishers and creators shape their presence and highlight their work on Search.

Source: Google

Anthropic is calling for top AI labs to weigh slowing the pace of development, suggesting that AI systems are advancing so rapidly that they may soon be able to improve themselves without human intervention in ways that could pose societal risks.

The ability to slow global AI development would “likely be a good thing,” the company said Thursday in a blog post that disclosed internal data documenting how quickly its most advanced models are improving.

The post, written by the head of its internal research institute and a company co-founder, noted that model advances appear to be on a path toward “recursive self-improvement,” when AI systems can improve on their own without human intervention. Some AI insiders have seen that threshold as a potential marker of danger and enormous societal upheaval.

“We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology,” the post, written by Marina Favaro and Jack Clark, says. It proposes a global agreement on how to potentially slow development and a mechanism for verifying that competitors are respecting it.

The post cautions that recursive self-improvement hasn’t yet happened and isn’t inevitable, “but could come sooner than most institutions are prepared for.”

The $1 trillion startup warns artificial-intelligence models are nearing capability to improve without human intervention

Anthropic has recently emerged as the front-runner in a ferocious competition for AI supremacy with ChatGPT-maker OpenAI. Jason Henry for WSJ

Source: WSJ

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Choosing a local listing management service isn't just about finding the cheapest option or the one that promises the most directories. 📋 A lot of business owners get burned because they focus on the wrong things during selection.

Here's the real truth 👇

Most providers look identical on paper. Same landing page promises, same "100 directories" claims, same smiling stock photos. But the difference shows up after you sign — when something goes wrong and nobody picks up the phone. 📵

What actually separates good services from bad ones:

✅ Clear QA process — Do they check listings before publishing? Who owns corrections? ✅ SLA transparency — What happens when a listing goes wrong? How fast is it fixed? ✅ Actionable reporting — Not just activity logs, but actual next steps with owners and dates.

One thing I always recommend before signing anything: ask for a sample report and a documented correction workflow. If they can't show you either, walk away. 🚶

The smartest move is to run a short pilot first. A 4–6 week controlled test tells you more about a provider than any sales call ever will.

I recently came across a solid breakdown of how to think through the software vs. service decision for local listing management — worth a read if you're currently evaluating options.

Don't let a low upfront price become a high long-term headache. 💡

#LocalSEO #SmallBusiness #BusinessListings #DirectoryMarketing #FounderTips #LocalMarketing #StartupGrowth #SEOStrategy #DigitalMarketing #BusinessGrowth

Met a guy with zero CS background making "$600k/month" from a SaaS he launched 4 months ago.

I asked what stack he used.

Bro said:

• ChatGPT for ideas

• Claude for coding

• Cursor for debugging

• Firebase for "backend things"

• had no idea what REST API means

The app somehow grew to 1.2M users.

He thought CI/CD was a fintech startup.

Database permissions were basically "good luck everybody."

Secrets were stored in a public GitHub repo.

No backups.

No tests.

No staging environment.

Every deployment broke something and he called it "continuous innovation."

VCs still offered him $30M.

None of this happened btw.

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