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
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Bill Sanders retweeted
AI will take your job...but not how you think...
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Bill Sanders retweeted
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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Bill Sanders retweeted
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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Bill Sanders retweeted
"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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Bill Sanders retweeted
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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Bill Sanders retweeted
🚨 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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Bill Sanders retweeted
"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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Bill Sanders retweeted
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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Bill Sanders retweeted
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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Bill Sanders retweeted
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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Bill Sanders retweeted
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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In 1783, King George III asked an American painter what George Washington would do now that he had virtually won the war. The painter replied that the General intended to return to his farm in Virginia. The King was stunned. He reportedly said, "If he does that, he will be the greatest man in the world." Throughout history, victorious generals almost always seized the throne. From Caesar to Cromwell, military success usually meant political dictatorship. The concept of voluntarily walking away from absolute power was practically unheard of. But George Washington wasn't like other men. By December 4, 1783, the British surrender at Yorktown was past, and peace was finally assured. Washington commanded a powerful, seasoned army that adored him. Conversely, many of his officers were unpaid and angry at the inefficient Congress. They had the guns, the manpower, and the loyalty to install a new monarch. He could have been King George I of America. Instead, on this day in history, Washington walked into the Long Room at Fraunces Tavern in lower Manhattan. The room was filled with his most loyal officers—men like Henry Knox and Baron von Steuben—who had frozen with him at Valley Forge and bled with him for eight long years. The atmosphere wasn't celebratory. It was heavy with inevitable separation. Washington, usually stoic and commercially reserved, poured a glass of wine and looked at his brothers-in-arms with visible emotion. "With a heart full of love and gratitude, I now take leave of you," he said, his voice shaking. "I most devoutly wish that your latter days may be as prosperous and happy as your former ones have been glorious and honorable." He didn't order them. He didn't demand their allegiance. He hugged them. One by one, the hardened soldiers wept openly. Washington embraced each man in silence. There was no pomp, no ceremony, and no speeches about future conquests. It was just a quiet goodbye between warriors who had done the impossible. Immediately after leaving the tavern, Washington didn't march on Congress to demand payment or power. He rode to Annapolis, Maryland, resigned his commission, and went home to Mount Vernon to plant crops. He did the impossible. He refused the crown. He trusted the people. By stepping down, he ensured that the United States would be a republic ruled by laws, not a kingdom ruled by force. He proved that the military serves the people, not the other way around. It was the final, and perhaps greatest, victory of the Revolution. The world watched in awe as the American Cincinnatus returned his sword to its sheath, proving that character is the strongest constitution of all. Sources: Mount Vernon Ladies' Association / Library of Congress
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I try to remind myself of this often...
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Bill Sanders retweeted
If @kscalelabs robotics can't get funding, why should the US government prop up OpenAI? In the competition with China having a strong robotics ecosystem is far more important than keeping an LLM builder up and running. The technology under robotics is changing away from LLMs to world models, or VLAs. Watch @XPengMotors's presentations last night for proof of that. OpenAI doesn't have those. Why should we (US citizens) fund its R&D? @GaryMarcus is right about this one. Also, there are new AIs coming that are far more efficient. Go see what @helloVERSES has cooking with active inference. Betting on the old technology is just a waste of money.
BREAKING: OpenAI is requesting US government support to help guarantee financing for the massive investments in AI chips and data centers it needs for expansion, per Bloomberg.
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This is why you don't share just everything on the web. The vid you see here must be one of the most effective AI awareness videos.
want to see videos about anything
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When I hear “life hack,” this is what I expect to see
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💯 Tasks are not jobs.
"AI isn't replacing radiologists" good article Expectation: rapid progress in image recognition AI will delete radiology jobs (e.g. as famously predicted by Geoff Hinton now almost a decade ago). Reality: radiology is doing great and is growing. There are a lot of imo naive predictions out there on the imminent impact of AI on the job market. E.g. a ~year ago, I was asked by someone who should know better if I think there will be any software engineers still today. (Spoiler: I think we're going to make it). This is happening too broadly. The post goes into detail on why it's not that simple, using the example of radiology: - the benchmarks are nowhere near broad enough to reflect actual, real scenarios. - the job is a lot more multifaceted than just image recognition. - deployment realities: regulatory, insurance and liability, diffusion and institutional inertia. - Jevons paradox: if radiologists are sped up via AI as a tool, a lot more demand shows up. I will say that radiology was imo not among the best examples to pick on in 2016 - it's too multi-faceted, too high risk, too regulated. When looking for jobs that will change a lot due to AI on shorter time scales, I'd look in other places - jobs that look like repetition of one rote task, each task being relatively independent, closed (not requiring too much context), short (in time), forgiving (the cost of mistake is low), and of course automatable giving current (and digital) capability. Even then, I'd expect to see AI adopted as a tool at first, where jobs change and refactor (e.g. more monitoring or supervising than manual doing, etc). Maybe coming up, we'll find better and broader set of examples of how this is all playing out across the industry. About 6 months ago, I was also asked to vote if we will have less or more software engineers in 5 years. Exercise left for the reader. Full post (the whole The Works in Progress Newsletter is quite good): worksinprogress.news/p/why-a…
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Bill Sanders retweeted
BREAKING NEWS: New @betterup/Stanford study on absolutely nails part of why the ROI on GenAI has been so poor: “Employees are using AI tools to create low-effort, passable looking work that ends up creating more work for their coworkers. On social media, which is increasingly clogged with low-quality AI-generated posts, this content is often referred to as “AI slop.” In the context of work, we refer to this phenomenon as “workslop.”… AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task.”
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99% of teams will spend the next 12 months chasing bigger models. The 1% wiring agentic systems will take your users, your margins, and your roadmap. Andrew Ng’s point is blunt: the “giant models” era is fading. The future is Agentic AI — small, specialized models that plan, use tools, check their own work, and collaborate. •Not one big brain, a team of autonomous workers •Smaller + cheaper models, wired into tools, can beat massive ones on tasks that matter •JPMorgan reports ~30% cost cuts in some ops from agentic workflows •Market: $5.1B → $69B by 2032 This is about workflow architecture, not parameter count. The winners will own the data, the tools, and the end-to-end automation — with trust baked in.
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