Signal in the AI noise
Joined September 2022
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High Signal AI retweeted
You can earn $3000 in the next 60 days if you have:
• Claude
• A laptop,
• Internet, and
• 60 mins daily.
Usually, this guide would cost you $91, but today you get it for free.
Like + reply 'Info' and I'll send you my advanced guide for FREE.
Must follow me to get DM.
FREE for 48 hrs.
High Signal AI retweeted
Brian Tracy on the one leadership rule you can’t fake:
Everyone is watching you.
Want punctual people? Be punctual.
Want people on their top priorities? Work on yours.
High Signal AI retweeted
Sundar Pichai on how much Google focuses on who holds pole position in AI:
"We are very committed to being at the AI frontier for the very long term. We didn't get on this train recently."
High Signal AI retweeted
We’ve raised a $2.5M pre-seed to fix hardware hiring.
The most reliable way to know if an engineer can do the job is to watch them work.
In hardware, that’s been almost impossible to do at scale.
Colare runs simulation-based assessments that show how candidates actually work, in the tools they’d use on the job, before anyone books an interview.
We assess across:
- Mechanical (CAD, DFM, FEA)
- Electrical (PCB, schematics)
- Systems
- Manufacturing, & more.
Candidates solve problems from first principles.
Hiring teams see that across their whole pool, so engineers only interview people who’ve already cleared the bar.
We're already working with everyone from seed-stage startups to multi-billion-dollar aerospace manufacturers.
If you’re hiring hardware engineers, let’s talk:
colare.com/
High Signal AI retweeted
These 36 Claude prompts can make you $10k/month.
I usually charge $91 for this eBook, but today, it's FREE.
Like + reply "Claude" and I'll DM you the eBook.
Must follow to receive.
Free for the next 48 hours only.
High Signal AI retweeted
Palantir co-founder and CEO Alex Karp warns that with new AI models, cybersecurity is becoming “more guerrilla war.”
The only question left: how quickly can you mitigate, and how quickly can you shoot back?
High Signal AI retweeted
In a Phase 3 trial, a daily peptide injection made hepatitis D undetectable in half of patients after about three years.
It’s the first FDA-approved treatment for the disease, and it’s modeled on a piece of hepatitis B.
Here’s the breakdown: (1/13)
High Signal AI retweeted
4 questions every new manager should ask their team. #leadership
High Signal AI retweeted
Traditional businesses that made people rich:
• Real estate
• Retail stores
• Manufacturing
Modern businesses that will make people rich:
High Signal AI retweeted
Jeff Bezos on why "I'm scared" became one of his most effective things to say in a meeting:
Bezos says that in the family he grew up in, most negative emotions were quietly off-limits.
"The only negative emotion that was kind of tolerated in that unspoken family dynamic, and only occasionally, was anger. Sadness, fear, anxiety. These things were looked down on."
He believes that conditioning probably served him well as an entrepreneur:
"That's probably, in the scheme of things, kind of probably pretty helpful for founding a company."
His reasoning is that founders need to project something:
"You need optimism. Without optimism and energy, I don't know how some glum Eeyore type founder could ever lead a company to success. I mean, you got to have some optimism. You've got to have some energy. It's got to be a little contagious. There's going to be a lot of bad days. You got to lift people up."
But he found the limits of that approach at home first, with his children, his brother and sister, and his parents:
"I realized I'm not really being intimate with them if I'm not sharing when I'm sad or sharing when I'm scared or these kinds of things. And so I started working on that with them and found it very meaningful. It deepened those relationships very significantly."
Then came the realization that changed how he operates professionally:
"And then I realized those were valid emotions at work, too."
@JeffBezos now treats every emotion as useful information:
"All of your emotions are sort of an early warning system. If you're stressed, for me, that's a kind of an early radar that is detecting that there's something I'm not taking action on. It's an important indicator."
The problem with running everything through anger is that it's a blunt instrument. It tells people something is wrong without telling them what:
"If you're channeling all of your negative emotions into occasional frustration or anger or something like that, you're not being very precise."
Here's what it looks like in practice for him now:
"I'll have a meeting and I listened for a while, and when it's my turn to talk I'll say, 'I'm scared.' And that's more effective. People are like, 'You're what? What are you scared of?' And then you are talking about, okay, what's making you scared."
Anger in a meeting puts a room on the defensive. Fear, stated plainly, starts an investigation. The conversation moves from managing the leader's mood to finding the actual risk the leader has picked up on.
His conclusion:
"You get more in touch. It actually help[s] you, probably not just your family relationships, your close intimate relationships, but I think it helps you at work too."
High Signal AI retweeted
Meta Chief AI Officer Alexandr Wang on why America still has no answer on how to regulate AI, despite years of effort in Washington:
Wang was asked whether AI could eventually replace politicians.
Instead of answering right away, he stepped back to describe the problem underneath the question: government responds too slowly to new technology.
"It's definitely the case that the speed of policymaking and the speed of legislation and the speed at which the government reacts to new technologies, like that's going to have to speed up."
@alexandr_wang has seen that slowness from the inside. Wang says he has spent a lot of time in D.C. trying to shape how the country approaches AI:
"I've spent a lot of time in D.C. trying to make sure that as a country we get the right kind of AI legislation and the right kind of AI regulation to ensure that this all goes well for us."
But years of effort have not produced an answer:
"It's been years of trying to get that done. You know, we still haven't really figured that out as a country."
The central question is still open:
"What is the right AI regulatory framework? Like, that's still undecided."
One of the people closest to building the technology has spent years in Washington working on this, and by his own account the country still hasn't settled on a framework.
Wang's conclusion is that the gap can't last. If technology keeps advancing and the institutions meant to govern it keep moving at their current pace, policymaking will have to speed up.
High Signal AI retweeted
There is a massive AI Search opportunity right now that I think a lot of businesses are measuring completely wrong.
A new ecommerce study analyzed 96.4 million sessions and 976,668 orders across 73 online stores.
Traffic over the course of a year?
Basically flat.
Orders attributed to that traffic?
Nearly tripled.
Let's go through it.
By the way, if you want to see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here. It's free:
seo-stuff.com/free-audit
Shero analyzed GA4 data from 73 ecommerce stores across Shopify, Magento, BigCommerce and WooCommerce.
In September 2025, these stores were getting about 896 visits per day.
One year later: 917.
So only about 2% growth.
If you looked purely at traffic, you understandably wouldn't be too impressed.
Now look at orders attributed to that traffic.
September 2025: 5.9 per day.
September 2026: 16.1.
That is almost 3x as many orders.
AI search users are different now. Their intent is much more direct.
Someone clicking through from an AI recommendation may arrive very differently from someone browsing traditional search results.
This is something SEO Stuff (seo-stuff.com) helps brands with daily.
A traditional search might be something like "running shoes" - which means the customer still needs to browse, compare, read reviews and figure out what actually fits.
Meanwhile an AI user can ask something like, "What are the best running shoes under $150 for someone who weighs 190 pounds, runs 20 miles a week on pavement and wants extra cushioning?"
The AI can do a lot of the filtering before the customer ever reaches a website.
By the time that person clicks, they may already understand what they want, why the product fits and what the alternatives are.
That can create a much more qualified visitor, and Shero's data is consistent with that possibility.
Among 61 stores with at least 200 AI visits in 2026, AI visitors converted better than Google organic visitors on 41 of them.
The median store saw AI traffic convert 25% better than Google organic.
AI visitors also generated 23% more revenue per visit, especially because the Google organic comparison INCLUDED branded searches.
There was another interesting finding: 51% of AI visits started directly on product pages.
And among stores with at least 500 AI visits, those where 50%+ of AI traffic landed on product pages had a median AI conversion rate of 1.62%.
Stores below that threshold: 1.06%.
That does not prove product-page landings caused the higher conversion rate, but it does show how AI can change the customer journey.
The user may not need to land on your homepage, browse categories, use filters and eventually find the right product.
They can go from Question to AI recommendation to Product page to Purchase.
That means every important product page increasingly needs to work as a landing page.
It should clearly explain what the product is, who it's for, what it costs, what specs matters, what makes it different, what customers should know before buying, how it compares with alternatives, etc.
This is why SEO Stuff focuses so heavily on the questions customers ask before buying:
seo-stuff.com/gold-plan-pack…
Best X for Y.
X vs. Y.
Alternatives to X.
Is X worth it?
Best X under $500.
Which X works with Y?
What should I look for when buying X?
Those questions can put your company into the research process before the customer ever reaches your website.
Then the destination needs to help them finish the decision.
That is what the Premium Content Bundle is designed to build:
seo-stuff.com/premium-conten…
And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity, Grok and broader AI search, start here.
It's free:
seo-stuff.com/free-audit
Microsoft is now literally telling businesses exactly how to get traffic from AI Search.
Yes, directly inside webmaster tools.
This is probably one of the more 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):
seo-stuff.com/free-audit
Earlier this year, Microsoft launched its AI Performance report so businesses could see how often their content was cited across Microsoft Copilot and partner AI experiences.
Now they are expanding it with four new AI Insights: Intents, Topics, Citation Share and Compare.
Let’s go through what changed.
Microsoft’s AI Performance report already showed: Total AI citations, Which pages were cited, Citation trends over time, the Average number of cited, Grounding queries associated with those citations, and now they' adding even more context.
The first update is Intents, thanks to which grounding queries are now classified into categories like: Informational, Commercial, Research, Learn & Solve and Local.
This goes without saying, but every AI citation is not equally valuable - a core principle that every SEO Stuff (seo-stuff.com) package starts with.
A citation from an informational query may mean your content is being used to answer broad education-stage questions.
A citation from a commercial query may mean your business is being considered closer to the buying decision.
This is something that every SEO Stuff done-for-you package takes into account:
seo-stuff.com/ai-seo
Imagine a payroll company sees Microsoft associating its site with:
Payroll software for contractors
Multi-state payroll compliance
Construction payroll pricing
ADP alternatives for small businesses
Now the business can see whether those queries are informational, commercial, research-driven or local.
That changes the content strategy.
If the site is getting cited mostly for informational queries, the company may need stronger pricing pages, comparison pages, industry pages and bottom-of-funnel content.
If it is getting cited for commercial queries but not winning much citation share, the issue may be authority, specificity or third-party validation.
The second update is Topics.
Microsoft is now grouping related queries into broader thematic clusters, and this is important because modern AI search organizes information around subjects, entities, intent, relationships and coverage depth.
That means a business should ask: “Does Microsoft understand us as a strong source for this topic?”
A payroll company may discover that Microsoft connects it strongly to: Contractor payroll, Small-business payroll, Payroll compliance, and Payroll pricing, as opposed to: Enterprise payroll, Global payroll, Healthcare payroll and Construction workforce management.
That tells the company where its topical authority is strong and where it is thin.
The third update is Citation Share.
Microsoft says businesses can now see how much of the citation space their site holds for a given grounding query.
Basically, you can start to see whether your site is one of many sources being cited, or whether you are earning a meaningful share of the AI answer ecosystem around a subject.
That is a very different metric from raw citations, because a site may get 100 citations for a topic, but if competitors are getting 5,000, the business may still be underrepresented.
Another site may only get 40 citations for a niche commercial query, but own a large share of the citation space.
This starts to move AI search reporting closer to share-of-voice analysis.
So less “Did we appear?” and more “How much of the available visibility did we capture?”
The fourth update is Compare.
Businesses can now overlay one time period against another.
For example:
Last 30 days vs. previous 30 days
Before a content update vs. after a content update
Before a backlink campaign vs. after a backlink campaign
Current season vs. prior season
This makes AI search optimization much easier to evaluate, because if a business publishes a new comparison page, strengthens an existing pricing guide and earns a few relevant authority placements, it can now look for citation movement afterward.
You don't have full attribution here yet, but even directionally this is still a big improvement.
This is where SEO Stuff’s done-for-you package becomes relevant:
seo-stuff.com/gold-plan-pack…
The package combines 10 AI-search-optimized articles with three DR50+ authority placements.
The content helps build deeper coverage around topics AI systems already associate with your business.
The authority placements help reinforce your company’s identity, category and expertise across the wider web.
That combination matters because AI visibility usually comes from two things working together:
Useful, specific content on your own site.
Trusted external signals confirming who you are and what you should be recommended for.
Microsoft says these new features are still in early preview, so occasional inaccuracies are possible, but the direction is obvious.
AI search is beginning to provide its own version of keyword, topic, intent and share-of-voice data.
This is the system SEO Stuff was built around:
seo-stuff.com
And 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
High Signal AI retweeted
You can earn $9800 a month if you have ChatGPT, a laptop, internet, and 60 mins daily.
Usually, this guide would cost you $89, but today you get it for free.
Like + reply 'Money' and I'll send you my advanced guide for FREE.
Must follow me to get DM.
FREE for 48 hrs.
High Signal AI retweeted
I'm 29.
I make $50k/month.
It all started when I found the oldest asset in the world.
Here's how it works (and how you can use it too):👇
High Signal AI retweeted
Brian Tracy says the most valuable work you do is thinking:
"The quality of your thinking determines the quality of your decisions, and the quality of your decisions determines the quality of your actions."
High Signal AI retweeted
Sundar Pichai says Gemini 4 Argon hit almost 25 trillion tokens in its first 72 hours, about 3x what 3.0 had:
"And we are capacity constrained as we work through these launches."
High Signal AI retweeted
Jensen Huang once promised his wife Lori he’d start a company by 30.
He founded Nvidia at 30.
Asked about it now, he jokes: “That was my pickup line. I didn’t mean it.”