Dennis Goedegebuure

🕊️ Chuck Norris has died at 86. tmz.me/N3EVxQe

@chiropractic @eBay Only thing is, the patent falls back to ebay

@TheNextCorner @eBay I remember when this was live! All those links. Good to see you patented the process.

𝗧𝗵𝗲 𝘀𝘁𝗼𝗿𝘆 𝗼𝗳 𝘁𝗵𝗲 𝗩𝗶𝗿𝗴𝗶𝗻 𝗠𝗮𝗿𝘆 𝗚𝗿𝗶𝗹𝗹𝗲𝗱 𝗖𝗵𝗲𝗲𝘀𝗲 𝗣𝗮𝘁𝗲𝗻𝘁 >> thenextcorner.net/the-virgin-mar… @ebay

Amazing, telescope farms, what a world we live in. Isn’t the part of spending the time on your hobby what’s make the picture valuable?

Same core architecture. Different decade. Different technology layer. thenextcorner.net/i-patented-dyn…

The Netherlands 🇳🇱 is the most valuable tech nation in Europe 🇪🇺 A country of 18M… dominating a continent of 450M 🤯 With ASML alone worth more than the entire top 10 of most European countries, the Dutch have built a tech ecosystem that punches absurdly above its weight for a country of 18 million people. Cool to see @Adyen and @MolliePayments representing FinTech on this list 👌

Countries which invested in energy independence will come out on top coming months euronews.com/2026/03/11/spa…

I'm still waiting for the day that someone can show me a brand that's doing well in AI search that is NOT doing well in traditional search engines. There is no successful GEO or AEO without effective SEO.

@aakashgupta And walk into a penalty 6 weeks later. Tread at your own risk, testing is cool, burning your company brand domain, starting from scratch is not!

If you want to build a pSEO engine to multiply your traffic, read this.

@jbobbink Not only %. More to do with the upside in revenue, until remedy is put in place vs the size of the penalty. If parking cost you $10 per hour, you're not paying a full day, on average you get 1 parking ticket each 5 days, the ticket is just $60, you never pay for parking.

@TheNextCorner Hmm, would be interesting to think about that percentage. How can we calculate a reasonable expected distribution amongst sources?

I analyzed who Google AI Mode actually cites. The antitrust case just wrote itself. SE Ranking studied 68,313 keywords across 20 niches. They looked at 1.3 million citations inside Google's AI Mode answers. The finding that should make every SEO uncomfortable: Google(.)com appears as the source in 17.42% of all citations. Nearly one in five sources in AI Mode points back to Google itself. Add YouTube and it climbs to roughly 20%. Google is building an answer engine that treats its own properties as the most authoritative source on the internet. That is not a search engine. That is a closed loop. Here is where it gets worse. Ahrefs just published new data on AI Overviews using 863,000 keywords and 4 million URLs. In July 2025, 76% of pages cited in AI Overviews ranked in the top 10 organic results. By early 2026 that number dropped to 38%. Cut in half in eight months So Google is simultaneously citing itself more and citing top-ranking pages less. If you built your entire strategy around ranking on page one to earn AI visibility, that bet just collapsed. The timing is not a coincidence. Google upgraded AI Overviews to Gemini 3 globally on January 27. SE Ranking found that Gemini 3 replaced about 42% of previously cited domains overnight. Your citations are not earned. They are rented. And Google just changed the landlord. Meanwhile, the European Publishers Council filed a formal antitrust complaint with the EU in February 2026. Their argument is simple. Google uses publisher content to generate AI answers, then cites itself instead of the publishers who created the original information. The numbers support the complaint perfectly. Separately, eMarketer found that fewer than 10% of sources cited in ChatGPT, Gemini, and Copilot rank in the top 10 organic results for the same query. BrightEdge research shows the overlap between top Google links and AI cited sources dropped from 70% to below 20%, currently at 17%. Traditional SEO rankings and AI visibility are becoming two completely different games. And in the AI game, Google gave itself home court advantage. This is not a ranking problem. This is a market structure problem. When the platform that controls 90% of search also controls the answer layer and cites itself as the primary source, the word for that is not optimization. The word is antitrust.

What's old is new: joost.blog/ai-optimizatio… by @jdevalk

when your running out, but it's just for 4 minutes:

@BlackPantherCap @grok what do you think about this?

🚨PREPARE FOR A -20% MARKET DROP: Everyone thinks the Iran conflict is an oil story. It’s not. Let me explain what this is really about. The Strait of Hormuz has been closed for 8 days. Markets are focused on crude prices. That’s the wrong variable. The real cascade nobody’s mapping: 92% of the world’s sulfur comes from refining oil and gas. Close Hormuz, you don’t just lose 20 million barrels of crude per day. You lose the feedstock for sulfuric acid m, the single most produced chemical on Earth. Sulfuric acid is how we extract copper. How we extract cobalt. Without it, you can’t make transformers, EV batteries, or the substrates inside every data center on the planet. One chemical. One feedstock. One 21-nautical-mile chokepoint. It gets worse. Qatar ships 30% of Taiwan’s LNG through Hormuz. Taiwan has 11 days of reserves. $TSMC, the company making 90% of the world’s advanced chips, draws 8.9% of Taiwan’s entire electricity grid. No gas → no power → no chips. Then food. 33% of global nitrogen fertilizer feedstock moves through that same strait. Half of all humans alive exist because of synthetic nitrogen. Sulfur. Semiconductors. Food. Three supply chains. One chokepoint. Zero domestic alternatives at scale. The economic math from here: Oil holds $80-100+ per barrel if closure persists beyond weeks. Inflation climbs 0.5-1% above baseline. Fed delays rate cuts, 1-2 reductions instead of 3. GDP growth slows to 1.5-2%. Stagflation risk over the next 3-6 months is real. S&P/Nasdaq: 5-10% correction base case. Tech/growth down 10-15% on higher yields and risk-off. Energy and defensives up 5-10%. Market is currently pricing a 4-week conflict duration. If this extends? 15-20% drawdown. What I’m watching: The US objective isn’t just degrading Iran’s military. It’s economic strangulation, destroy the refinery infrastructure, induce blackouts, impair logistics, accelerate regime instability without a full ground invasion. The short-term pain is intentional and accepted. The strategic calculus: weaken Iran’s ability to project power, sever proxy support, and neutralize a nuclear threat permanently. China feels this differently. Iran was supplying 1M+ barrels daily of discounted sanctioned crude. That’s gone. Now Beijing is forced into costlier alternatives while already under U.S. economic pressure. This isn’t about oil. Oil is just the vector. The real targets are the supply chains that run through it. How I’m positioning into this: If this escalates and markets reprice, here’s my expected drawdown map on BETA stocks: > $ASTS, -15 to -35% (beta amplification, rate sensitivity in space telecom) > $IREN, -20 to -30% (rising energy costs crushing margins) > $CIFR, 15-20% (rising energy costs crushing margins) > $AMPX, -15 to -30% (cobalt + sulfur supply chain disruption hits batteries hard) > $RKLB, -10% to 25% (higher yields compressing aerospace valuations) > $ONDS, -10% to 25% (industrial wireless demand slowdown in tight credit) > $NBIS, -5% to 20% (AI cloud risk-off but lower beta buffers the downside) > $KRKNF, -5% to 15% (low beta, robotics holds relatively well) > $OSS, -5% to 15% (hardware stability, limited tech sector contagion) I still hold cash. That cash exists for exactly this scenario. My plan: I don’t hold enough cash as of now, which is why my strategy will be to buy the hardest-hit names on the way down, DCA monthly through the pressure, and let the timeline work. If this plays out as I expect, escalation through summer, then resolution, the relief rally sets up Oct/Nov. That’s 7-8 months of accumulation before the market re-rates. The biggest mistakes in geopolitical dislocations are panic selling and waiting for the all-clear. By the time the all-clear comes, the move is already over. Note: This is not financial advice.

They are trained on thousands of years of human behavior, so the worse of humans comes out

This is why people hate SEO, this is framed so wrong. “You’re not only writing to rank in Google anymore..’ See, this is the shortcut which generates AI slop. Look mom, I’m ranking in Google AND in AI. Meanwhile, you’re not starting with the customer in mind..

@alliekmiller @thomaspower Centuries from now, this writing will be viewed as: ‘this was life like in the early ages of agentic AI’ well captured, fascinating

oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

@coreyganim And expand, you will never look back.

Fantastic post from JJ. Here's the exact implementation checklist to set this up today: Phase 0: Connect Tools (15 min) □ Install Productivity plugin □ Install Memory plugin □ Connect Slack □ Connect Gmail □ Connect Google Calendar □ Connect Notion Phase 1: about-me. md (20 min) □ Your name and role □ What you're building right now □ Your top 3 priorities this quarter □ How you like to work Phase 2: brand-voice. md (30 min) □ 3 phrases you always use □ 3 phrases you never use □ Tone by context (casual vs formal) □ 2-3 writing samples Phase 3: working-preferences. md (15 min) □ Output format defaults (.docx, markdown, etc.) □ "Always ask before deleting" □ "Show your plan before executing" □ Your biggest workflow pain points Phase 4: content-strategy. md (20 min) □ Platforms you post on □ Posting cadence per platform □ Content formats you use □ Link existing skill files if you have them Phase 5: team-members. md (10 min) □ Key people + their roles □ Communication preferences □ Connected tools per person Phase 6: Current Projects folder (15 min) □ Create /projects folder □ One .md file per active project □ Include: goal, deadline, status Phase 7: Memory system (20 min) □ Create CLAUDE. md (master context) □ Create /memory folder □ Add glossary. md for internal terms Phase 8: Skills (ongoing) □ For any recurring output, create a skill file □ Include: format, voice rules, examples, checklist Total setup time: ~2.5 hours Do it once. Use it forever.

Oeps, what does this mean? #Excel #claude

@rustybrick @glenngabe @NarwhalJosh @BrandonLazovic Hmm, I wonder if the Patent Lawyers looked at this patent. Might not call out AI as the system to generate the page, concept is similar patents.google.com/patent/US20120…

A Google patent describes the process of Google building custom AI-generated landing pages for when people click on search results, instead of going to your website seroundtable.com/google-patent-… hat tip @glenngabe @NarwhalJosh @BrandonLazovic