Bill Sanders (@technacea) header
Bill Sanders (@technacea) profile picture

technology doesn't solve problems, people do: I help leaders and organizations bridge the execution gap between strategy and results.

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Joined March 2007
Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)Photo by Bill Sanders (@technacea)
So stunning. I had the privilege of seeing the Monet 2010 retrospective exhibit in Paris at the Galeries nationales du Grand Palais. There is nothing like seeing his work in person...
Top is Monet. Bottom is real life. 140 years later, Normandy still looks exactly like his paintings.
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AI will take your job...but not how you think...
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I wish they were more specific about which AI was going to kill us, because I’m pretty sure it’s not the chat bot that won’t let me speak to a representative.
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Somewhere on this list is the cheese your gut has no problem with, and it is probably not the one you were told to try. Three separate things upset people, and they pull in opposite directions. Lactose is the milk sugar. It leaves with the whey and gets eaten during ageing, so old cheese has none. Casein is the protein. Most cow herds are A1. Sheep and goat are not. Histamine is made by the bacteria while the cheese ages, so it climbs the longer it sits. Which means the advice everybody gives, to buy the mild stuff, is right for one of those and exactly wrong for the other. Fresh, if you flush or get headaches - Mozzarella: 20% fat. Trace lactose, no histamine. - Ricotta: 13% fat. Lactose present, no histamine. - Mascarpone: 44% fat. Some lactose, no histamine. Fattiest thing in the aisle. - Young chèvre: 21% fat. Goat. Low lactose, low histamine. The gentlest dairy going. - Feta: 21% fat. Ewe. Low lactose, moderate histamine. It never asked for a salad. Aged, if milk bloats you - Mature cheddar: 34% fat. No lactose, high histamine. Cut it thick. - Manchego: 33% fat. Ewe. For everyone who blames the cow. - Aged gouda: 31% fat. Butterscotch, crystals, the richest K2 going. - Pecorino: 30% fat. Ewe. Roman soldiers were issued it. The blues, which are the aged end taken further - Roquefort: 31% fat. Ewe, raw milk, aged in the Combalou caves. Salt, cream and a slap. - Stilton: 35% fat. Opened Boxing Day, rediscovered in March, still magnificent. - Gorgonzola dolce: 30% fat. Spreadable. Not a starter cheese, a finishing one. Blue is the highest histamine on the board, so it is the wrong end entirely if you flush, and the best flavour available if you do not. Then the elite tier, which is raw milk This is the actual dividing line and almost nobody knows it. Pasteurise the milk and you kill the native flora the pasture put there, then add back a laboratory starter with a handful of strains in it. Raw milk keeps hundreds. That is where the depth in a great cheese comes from, and it is why the best cheeses in Europe are legally required to be made this way. - Parmigiano Reggiano: raw cow's milk, mandatory. Two years. - Comté: raw cow's milk, mandatory. Fridge-cold is a crime here. - Gruyère: raw cow's milk, mandatory. - Roquefort: raw ewe's milk, mandatory. - Beaufort: raw cow's milk, mandatory. Summer milk off alpine pasture. And then Stilton, which by law must be pasteurised. The traditional raw milk version still exists, made to the old recipe, but it is not allowed to use the name and is sold as Stichelton instead. Britain wrote its own best cheese out of its own protected designation. So: bloating means go older. Headaches and flushing mean go fresher. Heavy on cheddar but fine in Spain means it was the cow, and you can have sheep and goat for the rest of your life. Either way you get complete protein, calcium, B12, vitamin A, and K2 in every aged cheese with a great deal of it in gouda. Ewe's milk carries more CLA. Then American singles, which cannot legally be called cheese in their own country because they fall below the 51% threshold. The packet says pasteurised prepared cheese product. Seventeen ingredients, individually wrapped, engineered to melt. Everything else here is a superfood and always was. Find the one you can digest, and buy far too much of it.
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Andrew Stephens has just released "The Autonomous Horizon." In it, he argues that in the race to digitize, most enterprises upgraded their systems without modifying their operating model. That the underlying architecture is still a digital version of the same processes organizations were using before the "digital-transformation." In our new AI-driven world, organizations that do not develop an adaptive architecture will be left behind. Link to the whitepaper below...
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"The obstacle is the way." Nobody, in 2026, is doing this better than an Anglo-Nubian goat called Keith. 5.51am. Latched pen door. Most goats experience a latched door as confinement. Keith experiences it as a structured opportunity. He addresses the latch. The latch yields. 6.14am. Bramble blocking the lane. The bramble has thorns. The bramble would defeat almost any other animal. Keith eats the bramble. The obstacle becomes the breakfast. The breakfast becomes the path. 6.31am. Steve, on his front step, in a dressing gown. Keith regards Steve. Steve regards Keith. After thirty seconds, Keith proceeds. The obstacle has been integrated. 7.42am. Closed gate. Keith cannot, by simple physics, open it. He could climb. Climbing would be effort. Effort, in Stoic terms, is for when necessary. He waits. At 7.47am the postman opens the gate. The obstacle resolves itself through patience and the postal service. 9.15am. Wet barn roof. A hazard, by every reasonable assessment. Keith reframes it as an opportunity to practice balance. He spends forty minutes on the wet roof. He does not fall. He descends a slightly more accomplished goat than he ascended. 11.20am. Dave, in the yard, in an attitude of mild remonstrance. Keith approaches Dave directly. He looks at Dave with the steady regard of an animal who has read his Epictetus and understands that what Dave thinks of him is not, fundamentally, in his control. Dave finds himself unable to remonstrate. The obstacle dissolves. 3.10pm. New reinforced fence on the north side. Keith assesses it for forty minutes. He identifies a section where the post has, in the recent rain, taken on a 4mm flex. He works the section. The section yields by 4pm. The world will, daily, place obstacles in front of you. You can experience them as oppression, complain about them, file 28 complaints, and live the rest of your life in the dressing gown. Or you can, like Keith, eat the bramble. The bramble, in either case, is going to be there. Eat the bramble. Be the goat.
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"Ramble On" is 56 years old and Robert Plant just walked onto The Late Show and made it sound like he wrote it this morning
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When I point my remote directly at the TV, it barely works… If I accidentally sit on it, it will change from Hulu to Netflix, turn on closed captioning, and turn the TV on and off 4 times.
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🚨 Holy shit… Deloitte was charged $1.6 million for a healthcare report filled with AI-hallucinated citations. This is the second time in two months they’ve been caught. First an Australian government agency. Now a Canadian province’s Department of Health. And their response? They “stand by the conclusions.” Let me translate that for you: “The AI made up the sources, but trust us, the advice is still good.” That’s a $1.6 million report. For a healthcare system. With fake citations that nobody at Deloitte bothered to verify before submitting. Not an intern’s draft. The final deliverable. The Australian incident was supposed to be a wake-up call. Deloitte even partially refunded that government for the errors. You’d think after publicly embarrassing themselves once, someone would have implemented a basic fact-checking step before hitting send on the next million-dollar engagement. They didn’t. And here’s what makes this story bigger than Deloitte. Every major consulting firm is racing to integrate AI into their workflows. McKinsey, BCG, Bain, Accenture. They’re all doing it. Because AI lets them produce reports faster with fewer junior analysts, which means higher margins on the same $500/hour billing rates. But the entire consulting business model is built on one thing: trust. You’re paying for credibility. You’re paying so that when you hand the report to your board or your minister, nobody questions the sources. The moment that trust breaks, the math changes completely. Why pay $1.6 million for AI-generated analysis with fake citations when you could run the same prompts yourself for $20/month and at least know to check the sources? That’s the real disruption nobody’s talking about. AI isn’t going to replace consulting firms by being smarter than them. It’s going to replace them by revealing that a huge percentage of consulting work was always just expensive research and formatting. And now the clients have access to the same tools. Deloitte’s problem isn’t that they used AI. It’s that they used AI the way most people use AI: paste in a request, take the output at face value, ship it. No verification layer. No human review of citations. No system. The firms that survive this era won’t be the ones who use AI the fastest. They’ll be the ones who build actual verification systems around AI output. The ones who treat AI as a first draft, not a final product. $1.6 million. Fake citations. Twice in two months. And they stand by the conclusions. The consulting industry’s biggest threat isn’t AI. It’s clients realizing they don’t need to pay someone else to hallucinate.
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It’s never too late!
In 1970, a 23-year-old physics student at Imperial College London found himself at a life-altering crossroads. Brian May was deep into his doctoral research on cosmic dust—specifically the zodiacal dust cloud, the tiny particles that drift through the solar system and scatter sunlight. His PhD was well underway, and a promising academic career in astrophysics lay ahead. But there was another path calling him. May was also the lead guitarist of a newly signed rock band named Queen. With a record deal secured and tours on the horizon, the band’s momentum was building fast. Faced with an impossible choice between the guitar and the telescope, May made his decision: he paused his studies and bet everything on music. Queen’s ascent was meteoric. By the mid-1970s, they had become a global phenomenon. Timeless anthems like “Bohemian Rhapsody” and “We Will Rock You” exploded onto the charts, while May’s iconic homemade guitar, the Red Special, helped define the band’s legendary sound. Stadiums sold out worldwide, and millions of albums flew off the shelves. Yet throughout his rock stardom, May never fully let go of his scientific passion. Even at the height of Queen’s fame, he stayed connected to astrophysics—reading journals, attending lectures when possible, and maintaining contact with his former supervisor, Professor Michael Rowan-Robinson, who had once told him: “You can always come back and finish.” Thirty-six years after stepping away, in 2006, May decided the time had finally come. He reached out to Rowan-Robinson, and together they revived the long-dormant project. Though the field had moved forward and his original data needed updating, his early observations still held real scientific value. Balancing his ongoing music career with late-night research sessions, May updated his work, incorporated new findings, and refined his analysis. In 2007, at the age of 60, Imperial College London officially awarded him a PhD in astrophysics—not an honorary title, but one earned through rigorous research and peer review. Dr. Brian May had finally completed what he started more than three decades earlier. His journey is a powerful reminder that passion has no expiration date. Whether on stage under stadium lights or studying the dust between the planets, Brian May proved it’s never too late to finish what you began.
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"Allegro non molto" movement from Vivaldi's "Winter" performed by Latvian guitarist Laura Lāce, absolutely shredding the piece on a Harley Benton Fusion-III guitar. [🎸 laura6100youtube]
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As a manager, one of my biggest regrets is losing top performers. They said they we're leaving for a "better opportunity." I figured they left for more money. Turns out, they left because I failed these 3 tests:
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Boss complained that the company couldn't afford to give salary raises. So they resorted to hiring and firing aggressively to cut costs. This only made the matter worse. He sought advise "What's the average raise request you've denied?" I asked. Boss : "About 15-20%." "And what are you paying new hires?" Boss : "Market rate. Usually 30% more than internal folks." "So you won't pay someone 15% more to stay, but you'll pay someone else 30% more to start?" He shifted. "That's different." "What about Sarah?" I asked. Boss : "She asked for 18K more. We said no. She left. You just hired her replacement." Boss : "Yeah. Took three months to fill." "What did you pay the replacement?" Boss : "85K." Sarah was making 62K. Asked for 80K. "Right." "So you saved 18K by saying no, then spent 23K more to get someone new. Plus signing bonus?" "10K." "What about lost productivity while they ramp up?" "Maybe six months to get to Sarah's level." "That's another 30K in lost output. Plus recruiting costs?" He opened a spreadsheet. "Recruiter was 17K. Training about 15K." I wrote on his whiteboard: - Salary increase: 33K - Signing bonus: 10K - Lost productivity: 30K - Recruiter fee: 17K - Training costs: 15K Total: 105K "You spent 105K to avoid paying 18K." He stared at the board. "How many Sarahs did you lose this year?" "Twelve." "So you burned 1.2 million to save maybe 200K in raises." A few months later, he called. "I just approved every raise request in the queue." "All of them?" "Cost me 340K. Would have cost me 2 million in replacements." "How'd your team react?" "Shocked. Then productive. We're hitting numbers we haven't seen in years." Here's the truth about retention economics: Companies will spend a dollar to save a dime. Then spend ten dollars to fix what broke. We treat current employees like costs and new employees like investments. But retention isn't an expense. It's the highest ROI investment you'll ever make.
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Andrew Stevens on proprietary data: "Proprietary models are expensive to build, but they create a defensible asset." Poor quality data is often cited as a barrier to decision-making, forecasting, and operations. If your data quality is inaccurate, inconsistent, and siloed, deploying AI will only add fuel to the fire. Link below...
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Great leaders aren’t defined by how they ride smooth seas; they’re defined by how they perform under pressure. This article unpacks executive leadership lessons from @DaveSanderson2's remarkable journey from the Miracle on the Hudson to the boardroom. c-suitenetwork.com/pressure-…
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THE ULTIMATE CLAWDBOT REPORT Every single important post here on X about @openclaw. Report and analysis by @blevlabs with the X API. docs.google.com/document/d/1… It read 38,000 people in AI community here to learn about Clawdbot and its founder @steipete. This would not be possible if I hadn't built my lists of the entire AI community: teapawt.org/scobleizer/lists DOZENS of use cases, fun posts, tutorials, and more.
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There is no AI playbook you can buy off the shelf. The speed of change is too fast. Organizations wrestling with this new wave of Digital Transformation and Compliance Strategy must build governance, learning, and change management frameworks in real time. Hear how leaders should approach AI today: bit.ly/3IIWZTX
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