Signal in the AI noise
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Venture Ranking: Testing how fast @cartesia can clone an create realistic voice with AI on my own voice. 🧐
Change the language, keep your voice.
Pick from 50+ voices in up to 25 languages, or make your own clone multilingual in a click.
Hear from the Voices team → cartesia.ai/blog/multilingua…
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Bad dubbing makes interesting people sound boring.
You’re watching someone tell a story. They’re funny, a little sarcastic, stumbling over a word. Switch languages and suddenly they sound like they’re reading the safety instructions on a flight.
I want to understand what they’re saying without losing the person saying it.
That’s what interests me about this Cartesia clip. Take that idea beyond a meme: being able to follow a Japanese filmmaker or a Brazilian teacher and still hear *them*.
I wonder how many people I’d love listening to that I’ve never discovered because we don’t speak the same language.
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I went looking for an AI voice tool that holds up on long audio. Ended up with a clone of my own voice reading a full tutorial script.
Slight problem: it sounds more real than I do!
Most tools I tried sounded great for the first few seconds, then the tone drifted the longer they talked.
Cartesia held up. It needed 10 seconds of my voice for the clone, and it can take up to 60 to keep my accent closer.
Recorded the whole process so you can try it too.
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You can stack Semax, SS-31, MOTS-c and still feel inexplicably tired if your iron stores are low.
Standard blood test often won't show this.
But one blood marker can catch this early. And it's fixable, but it takes more than just supplementing iron: (1/18)
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If manager asks you to choose a working shift, never choose:
9am-5pm
3pm-11pm
11pm-7am
Instead choose :
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Now that OpenAI has released GPT-6 Astra, it is worth paying attention to something important:
Astra is built to browse the web and use websites much more like a person.
And as a result of that, we now have one of our clearest windows into how/why ChatGPT decides which websites to recommend.
That has some pretty big implications for brands.
Let’s go through it.
Oh, and to see whether ChatGPT, Claude, Google AI, Perplexity and Grok are recommending your business right now, start here. It’s free:
rightcited.com
The first thing to understand is that ChatGPT is moving deeper into the customer journey.
OpenAI literally uses “pediatrician search” and “apartment hunting” as examples of Astra’s computer-use capabilities.
A customer can ask ChatGPT to research a category, compare options and then continue the task through the browser.
So showing up in the answer is increasingly only part of the opportunity, and your website also needs to make it easy for Astra to understand what your company does, whether it is relevant to that customer and what they should do next.
That starts with discovery.
Clearly explain your category, products, services, locations, industries, use cases and the problems you solve.
Then make the important buying information public and specific:
pricing, availability, service areas, hours, eligibility, integrations, product specifications, policies, appointment information and customer results.
If someone needs a fact before choosing your business, there should be a clear place online where ChatGPT can find it.
Content still matters too.
Comparison pages, alternatives, industry pages, location pages, FAQs, documentation, case studies and detailed service pages give Astra more ways to encounter your business during research.
Third-party evidence matters for the same reason.
Press coverage, reviews, industry publications, directories, expert mentions and contextual backlinks create additional places where ChatGPT can encounter your brand and verify what your website says.
If you need help with this, here is a done-for-you package:
seo-stuff.com/gold-plan-pack…
Astra also adds another layer businesses should start thinking about: usability.
OpenAI says it can fill out online forms and interact directly with websites, so the experience after discovery matters more.
If ChatGPT finds your company but cannot determine whether the service is available, where to click, how to book or what something costs, that creates friction between recommendation and action.
Clear navigation, accurate information, working forms and straightforward conversion paths therefore matter for AI search too.
Optimizing for ChatGPT is increasingly about being easy to discover, easy to understand, easy to verify and easy to act on.
Astra makes that last part much more important.
That is exactly the system Rightcited was built around:
rightcited.com
Just my personal opinion here:
Selling digital products without SEO or AI Search Optimization in 2026 is like launching a SaaS with no onboarding.
Every week I see brands leaving $$ on the table because they skip the simplest visibility work.
And a lot of it can be done without hiring anyone.
Let’s go through it.
By the way, if you want to see where your site stands across Google, ChatGPT, Claude, Gemini, Perplexity, Grok and broader AI search, start here (it's free):
seo-stuff.com/free-audit
Google and AI systems need enough information and authority around your brand to understand what you sell, who it is for and whether you are a credible option.
That usually comes from some combination of strong product pages, useful content, backlinks, brand mentions, clear site structure and consistent information about your company across the web.
Authority still matters a lot in 2026, but random backlinks are not the game.
What matters is whether your brand keeps appearing in relevant places, around the topics you actually want to be known for.
There are still plenty of ways to build that footprint for free.
Get included in creator newsletters and “tools I use” pages, contribute to relevant roundups, appear on podcasts, collaborate with adjacent creators, get interviewed by niche websites, contribute expert commentary and earn legitimate mentions in communities where your customers already spend time.
Then build an actual keyword strategy.
Do not spend three months trying to rank for something enormous like “planner” or “photo editor.”
Look for specific commercial searches tied to a particular audience, problem or use case.
Long-tail searches are often much closer to the actual buying decision.
And for the love of god, optimize your product pages.
Your product page is your storefront.
It also gives Google and AI systems some of the clearest first-party information about what the product actually is.
Use a benefit-first headline, outcome-driven copy, screenshots, a short demo, reviews, a clear CTA, fast loading, clean structure and appropriate structured data.
Make the page extremely easy to understand, then build content around it.
If you sell a productivity product, for example, you might have a broader guide around the best productivity stack for digital creators, supported by articles about planning tools, alternatives, workflows, use cases and related problems.
That gives search engines and AI systems a much clearer picture of the topic you belong to.
It also creates more opportunities to appear for the specific questions people ask before buying.
And make your content easy to extract.
Use descriptive headings, concise summaries, FAQs where they genuinely help and direct answers to the question being searched.
You should also own your comparison content.
Queries like “[Your Product] vs [Competitor],” “Best tools for [specific workflow],” “Alternatives to [Competitor]” and “Best [category] for [audience]” are extremely close to the money.
Those pages should contain real differences, screenshots, use cases, proof and a clear explanation of who each option is best for.
Third-party brand signals matter too.
Reviews, interviews, editorial mentions, community discussions and relevant third-party references give both buyers and AI systems additional information to work with.
So ask customers for reviews, get featured in niche roundups, contribute to newsletters and podcasts, and make sure the way your product is described across the web is reasonably consistent.
Lead magnets are still useful as well.
A free template, calculator, checklist, mini tool, quiz or swipe file can attract traffic, earn links and grow your list.
Then promote it through your homepage, relevant articles, internal links and social accounts, and follow up with useful emails built around actual use cases.
Do not ignore seasonal content either.
If demand predictably spikes around back-to-school, tax season, Q4 planning or year-end reviews, publish before the spike rather than after everybody starts searching.
Technical SEO still matters too.
Make sure important pages are indexable, navigation makes sense, internal links work, pages load quickly, canonicals are correct and structured data matches the content people can actually see.
Then map the content to the funnel.
Top of funnel is useful guides, tools and templates.
Middle of funnel is comparisons, alternatives, use cases and walkthroughs.
Bottom of funnel is product pages, pricing, testimonials, demos, reviews and FAQs.
That is how the pieces start working together.
The customer discovers you through Google or an AI answer, reads useful content, compares you with alternatives, sees proof and reaches a product page built to convert.
You do not need to do everything at once, but doing none of it while hoping people magically discover your digital product is a very expensive strategy.
And if you want the done-for-you version so you can focus on creating, that is exactly what SEO Stuff is built for:
seo-stuff.com
There is a reason so many customers come back for multiple purchases.
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Yann LeCun, Executive Chairman of AMI Labs, explains why LLMs are mostly retrieving human knowledge rather than thinking for themselves:
LeCun starts with why so many people misread what these systems are doing:
"I think there's a lot of confusion, really, because we tend to anthropomorphize systems that can reproduce certain human functions."
When an AI writes fluent answers, we assume there's a mind behind them. LeCun's view is that most of what we're seeing is something more familiar:
"LLMs, to some extent, except for a few domains, are mostly information retrieval systems. They can compress a lot of factual knowledge that has been previously produced by humans and can give easy access to it."
The key words are "previously produced by humans."
The knowledge in an LLM came from people. What the system adds is compression and easy access.
That puts LLMs in a long historical line:
"In a way, it's kind of a natural evolution of the printing press, the libraries, the Internet, and search engines. Right. It's just a more efficient way to access information."
@ylecun is clear about their value:
"LLMs are incredibly useful, there's no question about that. And they do amplify human intelligence, like computer technology going back to the 1940s."
He also allows that in a few areas, such as generating code and some types of mathematics, the capabilities seem to go beyond retrieval. But he notes what those areas share:
"It's still, to a large extent, domains where reasoning has to do with manipulating symbols."
That's where the retrieval framing shows its limits. If these systems were truly thinking for themselves, you'd expect that ability to carry over into the physical world. It hasn't:
"The problem is that why do we have systems that can pass the bar exam and win mathematics Olympiads, but we don't have domestic robots, we don't even have self driving cars."
Then comes his sharpest comparison:
"And we certainly do not have self driving cars that can teach themselves to drive in 20 hours of practice like any 17 year old. So we're missing something big still."
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Former Microsoft CEO Steve Ballmer on how Microsoft spent 15 years preparing Satya Nadella to become its next CEO:
When it came time to find his replacement, Ballmer says there wasn't much deliberation left to do.
Microsoft had been preparing its successor for years:
"When it came time to to find my replacement, I kind of kind of knew up front, look, we've been grooming this guy for about 10 years, 15 years. This guy is really talented, so he he gets the job obviously."
So how do you spend 10 to 15 years preparing a future CEO?
According to Ballmer, you start with someone who is "a very technical person," and then you keep moving him into areas he doesn't know.
Ballmer says one of the things that mattered to Satya, to the company, and later to the board was that Microsoft gave him many different experiences, and "he did well at all of them."
The first stretch was a business that had nothing to do with his technical background:
"So we said hey you don't really know anything about an area called general ledger and accounting but why don't you go run this thing called dynamics."
Ballmer adds that the business was "probably called great plains at the time," admitting he can't remember for sure.
Then Microsoft sped up the process:
"We moved him quite rapidly. We said, 'We got to get this search thing together. This is the high potential guy. This is a guy who can learn new things. He's technically minded.' Boom. Throw him a new problem. And he's building new skill sets along the way."
Each move added a new skill set. One was machine learning, which Ballmer describes as a fundamentally different style of software:
"Old programs were supposed to generate the right answer."
By contrast, he explains, many newer programs aim for the "statistically best answer," and you only find out afterwards whether it was precisely right.
Over the years, a pattern appeared. Assignment after assignment, the same strengths kept showing up:
"He clearly had good people skills. He clearly had an affinity for product."
He also "clearly had a knack … for understanding how to think about particularly our enterprise selling operation."
That track record prompted Ballmer to give him even more responsibility, and it led Ballmer and his senior leadership team to an explicit agreement:
"This is a guy we should be thinking about for the future of the company."
By the time @Steven_Ballmer stepped aside, the succession decision had effectively been made years earlier.
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High Signal AI retweeted
Amazon founder and Executive Chairman Jeff Bezos ran a trillion-dollar company on a ~$80K salary. And never took a single extra share.
Here's why:
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University of Louisville computer scientist Roman Yampolskiy on why humanity could become a secondary species on its own planet:
"Superintelligence doesn't hate you. It just doesn't care about you."
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The most underrated website in 2026:
Google Trends.
I used it and made $8,400.
Here's exactly what I did (& how you can too):
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Just my personal opinion here:
Selling digital products without SEO or AI Search Optimization in 2026 is like launching a SaaS with no onboarding.
Every week I see brands leaving $$ on the table because they skip the simplest visibility work.
And a lot of it can be done without hiring anyone.
Let’s go through it.
By the way, if you want to see where your site stands across Google, ChatGPT, Claude, Gemini, Perplexity, Grok and broader AI search, start here (it's free):
seo-stuff.com/free-audit
Google and AI systems need enough information and authority around your brand to understand what you sell, who it is for and whether you are a credible option.
That usually comes from some combination of strong product pages, useful content, backlinks, brand mentions, clear site structure and consistent information about your company across the web.
Authority still matters a lot in 2026, but random backlinks are not the game.
What matters is whether your brand keeps appearing in relevant places, around the topics you actually want to be known for.
There are still plenty of ways to build that footprint for free.
Get included in creator newsletters and “tools I use” pages, contribute to relevant roundups, appear on podcasts, collaborate with adjacent creators, get interviewed by niche websites, contribute expert commentary and earn legitimate mentions in communities where your customers already spend time.
Then build an actual keyword strategy.
Do not spend three months trying to rank for something enormous like “planner” or “photo editor.”
Look for specific commercial searches tied to a particular audience, problem or use case.
Long-tail searches are often much closer to the actual buying decision.
And for the love of god, optimize your product pages.
Your product page is your storefront.
It also gives Google and AI systems some of the clearest first-party information about what the product actually is.
Use a benefit-first headline, outcome-driven copy, screenshots, a short demo, reviews, a clear CTA, fast loading, clean structure and appropriate structured data.
Make the page extremely easy to understand, then build content around it.
If you sell a productivity product, for example, you might have a broader guide around the best productivity stack for digital creators, supported by articles about planning tools, alternatives, workflows, use cases and related problems.
That gives search engines and AI systems a much clearer picture of the topic you belong to.
It also creates more opportunities to appear for the specific questions people ask before buying.
And make your content easy to extract.
Use descriptive headings, concise summaries, FAQs where they genuinely help and direct answers to the question being searched.
You should also own your comparison content.
Queries like “[Your Product] vs [Competitor],” “Best tools for [specific workflow],” “Alternatives to [Competitor]” and “Best [category] for [audience]” are extremely close to the money.
Those pages should contain real differences, screenshots, use cases, proof and a clear explanation of who each option is best for.
Third-party brand signals matter too.
Reviews, interviews, editorial mentions, community discussions and relevant third-party references give both buyers and AI systems additional information to work with.
So ask customers for reviews, get featured in niche roundups, contribute to newsletters and podcasts, and make sure the way your product is described across the web is reasonably consistent.
Lead magnets are still useful as well.
A free template, calculator, checklist, mini tool, quiz or swipe file can attract traffic, earn links and grow your list.
Then promote it through your homepage, relevant articles, internal links and social accounts, and follow up with useful emails built around actual use cases.
Do not ignore seasonal content either.
If demand predictably spikes around back-to-school, tax season, Q4 planning or year-end reviews, publish before the spike rather than after everybody starts searching.
Technical SEO still matters too.
Make sure important pages are indexable, navigation makes sense, internal links work, pages load quickly, canonicals are correct and structured data matches the content people can actually see.
Then map the content to the funnel.
Top of funnel is useful guides, tools and templates.
Middle of funnel is comparisons, alternatives, use cases and walkthroughs.
Bottom of funnel is product pages, pricing, testimonials, demos, reviews and FAQs.
That is how the pieces start working together.
The customer discovers you through Google or an AI answer, reads useful content, compares you with alternatives, sees proof and reaches a product page built to convert.
You do not need to do everything at once, but doing none of it while hoping people magically discover your digital product is a very expensive strategy.
And if you want the done-for-you version so you can focus on creating, that is exactly what SEO Stuff is built for:
seo-stuff.com
There is a reason so many customers come back for multiple purchases.
Google is now literally telling businesses specifically how to get traffic from AI Search.
Yes, directly within Google Search Console.
It's probably one of the most important marketing updates of 2026.
Let’s go through it.
By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free):
rightcited.com/
Recently Google launched a new Generative AI performance report inside Search Console.
At first, it looked like a very limited rollout, but now more and more site owners are seeing it.
John Mueller also confirmed that Google is rolling it out incrementally and reviewing feedback along the way.
So if you do not see it yet, give it a few days, but the direction is pretty clear.
AI Search visibility is becoming something businesses can actually measure, and this report shows how often URLs from your site appear in Google’s generative AI features.
Yes, that includes AI Overviews and AI Mode.
It can also show which pages appeared, which countries the impressions came from, which devices people were using and how performance changed over time.
That matters a lot, because until now, a lot of AI Search tracking has been messy.
It has featured a lot of screenshots, manual prompt testing, third party tools, guessing from referral traffic, watching ChatGPT, Perplexity, Claude, Grok and Google manually to see whether your brand appears, etc.
Now Google is giving site owners a direct view into whether their pages are appearing inside Google’s own AI features.
There is one big limitation, though: this is impression data as opposed to clicks data.
Google is showing whether your site appeared inside generative AI features, but it is not yet showing how many people clicked from those AI features to your site.
This is where SEO Stuff (seo-stuff.com/gold-plan-pack…) can help.
A business can be visible in AI Search and still see fewer clicks than it used to get from traditional search.
At the same time, a business can also be completely missing from AI Search and not realize competitors are being shown instead.
If your AI impressions are high but clicks are weak, the issue may be the way Google is satisfying the search before the user visits your site.
If your AI impressions are low, the issue may be that Google does not understand, trust or retrieve your pages for the questions customers are asking.
If only your informational pages appear, but your product, service, pricing, comparison and case study pages do not, that tells you something.
If one country shows AI visibility and another does not, that tells you something.
If a few pages get most of the AI impressions, that tells you something.
This is why the report is such a big deal, and it gives businesses a starting point so you can finally ask better questions.
Which pages are showing up in AI Overviews?
Which pages are showing up in AI Mode?
Which countries are seeing the brand?
Which devices are seeing the brand?
Which parts of the buying journey are missing?
Which content is actually being used by Google’s AI systems?
That last question is the one most businesses should care about, and it is the one SEO Stuff solves for brands on a daily basis:
seo-stuff.com/premium-conten…
A customer can ask a long, complicated question and Google can break that question into several related searches behind the scenes.
That means the same business may need useful content around problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
One generic service page probably will not cover all of that.
A brand with useful content across the full buying journey has more chances to be discovered.
Google’s new report will make that easier to see.
And this also lines up with what Google just said in its “Good SEO is good GEO” piece. (See my post from yesterday if you missed it.)
Google said its generative AI features are rooted in the same core ranking and quality systems as traditional Search.
AI Mode and AI Overviews retrieve up-to-date content from Google’s existing search index.
So the businesses that want AI visibility still need the same boring foundation: crawlable content, useful pages, clear product information, real expertise, entity clarity, authority, third party validation, etc.
That is where SEO Stuff (seo-stuff.com) comes in.
The done-for-you package combines 10 AI-search-optimized articles with three DR50+ authority placements:
seo-stuff.com/gold-plan-pack…
The content helps your business cover the questions customers ask before buying, including problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation.
The authority placements help your business show up across trusted sources that search and AI systems use to understand categories.
Google is starting to show businesses whether they are appearing in AI Search.
Once something becomes a report, it becomes something clients, founders, CMOs and competitors start paying attention to.
If you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:
seo-stuff.com/free-audit
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You can easily earn $219/hour working from home or anywhere in the world doing easy jobs.
All you need is an internet connection and a mobile phone.
Like + comment 'Work' & I'll send you my exclusive guide 100% free.
Must follow me so I can DM the guide.
FREE for 48 hrs.
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This was taken on a random Wednesday in Abu Dhabi.
I drove a Formula car on the Yas Marina Circuit.
And not a single person had to say yes first:
No PTO request submitted two weeks in advance.
No "let me check the schedule and get back to you."
No guilt trip from a manager who acts like your vacation is a personal inconvenience to them.
I just went.
And I need to be honest about something. I did not grow up anywhere close to this life.
I grew up dirt poor on a farm in Utah.
If you had told that kid he would one day drive a race car in the Middle East on a random Wednesday because he felt like it, he would have laughed at you.
But here is what actually got me here.
It was not luck. It was not connections. It was not some genius idea.
It was one skill. Packaged into one simple product. Sold to one person.
Then I started posting what I knew on social media and doing it again and again.
And the wildest part is that the skill I packaged and sold was something I had been giving away for free for years before I ever thought to charge for it.
You are probably doing the same thing right now.
Answering questions. Helping coworkers. Giving advice for free that someone else would gladly pay for.
That is not a hobby. That is a product you have not built yet.
If you are tired of asking permission to live your life, I put together a free toolkit to help you start building something that does not require anyone's approval.
👉 Grab it free here: creatyl.com/toolkit
The goal is not to escape work.
The goal is to build enough of your own life that you stop needing permission to live it.
Please repost to help others out there! ♻️
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High Signal AI retweeted
Some managers teach you without ever sitting you down and actually teaching you anything. I call it Bossmosis. #leadership
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High Signal AI retweeted
A doctor spent 40 years fasting thousands of patients told me:
“Fasting is the most effective treatment ever shown for the world’s leading cause of cancer. It's the baseline for every human being.”
Here's his 7 simple rules:
1. You should fast every single day
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High Signal AI retweeted
TAKING MAGNESIUM RIGHT WILL TURN YOU INTO A 13% BODY FAT BEAST:
(99% ARE MAKING THESE 3 MISTAKE):
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A Hormone health expert once said:
"Your belly is a storage tank for cortisol waste. Melt it with one habit before bed, and your whole life changes."
This is the 9 minute fix:
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High Signal AI retweeted
If I wanted to get dementia as fast as possible, here is exactly what I would do:
1. Sleep 6 hours a night
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