John Sambrook

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John Sambrook

John Sambrook

@CommonSenseTOC

Owner and founder of Common Sense Systems, an AI-first Theory of Constraints consulting and software company located in Kirkland, Washington, USA.

Kirkland, Washington, USA Joined Mart 2025
247 Following26 Followers
Mehdi Salmani
Mehdi Salmani@mehdisalmani·
The missing variable in this debate is the deployment friction. I've helped Fortune 100 companies deploy AI systems for years. The gap between 'AI can do this task' and 'this company actually replaced the human doing it' is 2-5 years of change management, data pipeline work, and org politics. Dario is benchmarking capability. The economists are benchmarking adoption. Both are right about different things. Neither is measuring the actual bottleneck, which is that most enterprises can't even get their AI pilots past the notebook stage.
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Yann LeCun
Yann LeCun@ylecun·
Dario is wrong. He knows absolutely nothing about the effects of technological revolutions on the labor market. Don't listen to him, Sam, Yoshua, Geoff, or me on this topic. Listen to economists who have spent their career studying this, like @Ph_Aghion , @erikbryn , @DAcemogluMIT , @amcafee , @davidautor
TFTC@TFTC21

Anthropic CEO Dario Amodei: “50% of all tech jobs, entry-level lawyers, consultants, and finance professionals will be completely wiped out within 1–5 years.”

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The Sincere VP
The Sincere VP@thesincerevp·
those are Iran's own assets frozen under sanctions — it's not a payment, it's a return. the framing matters. the math nobody's running: a single carrier group in the Gulf costs ~$25M a day. they've had two deployed for six weeks. that's already over $2B in babysitting costs alone. add the $9B spike in allied oil import bills, the war risk premiums, the rerouted shipping — the Hormuz crisis has probably cost the global economy $50-80B so far. $20B to end it is the cheapest line item on the balance sheet
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Polymarket
Polymarket@Polymarket·
JUST IN: U.S. reportedly considering releasing $20,000,000,000.00 in frozen Iranian funds if Iran gives up its stockpile of enriched uranium.
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DogeDesigner
DogeDesigner@cb_doge·
Grok just hit a new all-time high on web traffic. 🔥 More than 326 million visits last month. More people are switching to Grok.
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John Sambrook
John Sambrook@CommonSenseTOC·
@elonmusk @Tesla_AI This is good news, both for Tesla and for the world. Congratulations to all who contributed to this outcome.
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Elon Musk
Elon Musk@elonmusk·
Congrats to the @Tesla_AI chip design team on taping out AI5! AI6, Dojo3 & other exciting chips in work.
Elon Musk tweet media
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John Sambrook
John Sambrook@CommonSenseTOC·
@aakashgupta AI gives you new capabilities; they last a few months or years; then it obsoletes them. The winning move is being ruthlessly curious about what the next obsolete layer will let you reach. That's the only durable advantage in an ecosystem where the ground itself is learning.
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Aakash Gupta
Aakash Gupta@aakashgupta·
Anthropic has 454 open roles. The company is hiring software engineers at $320K-$405K. Their CEO, Dario, said three months ago that coding is "going away first, then all of software engineering." The paradox resolves instantly. Dario's engineers told him they don't write code anymore. They let Claude write it. They edit. They review. They architect. They didn't lose their jobs. They got faster. Anthropic grew from a small research lab to 1,500 employees in four years, adding engineers the entire time. This has played out five times in computing history. Compilers replaced assembly. Frameworks replaced boilerplate. Cloud replaced server management. Every prediction was the same: most programmers won't be needed. Every result was the same: the number of engineers grew. The global software engineer pool went from roughly 5 million in 2010 to 28.7 million today. BLS projects 17% growth in US software developer roles through 2033, adding 304,000 positions. The pool is projected to hit 45 million by 2030. When building software gets cheaper, more problems become worth solving with software. A startup that needed 10 engineers now needs 3. But 50 companies that couldn't afford to build at all now can. The denominator shrinks. The numerator explodes. Meta's engineering headcount is up 19% from January 2022. Google's is up 16%. Apple, 13%. These companies adopted AI coding tools years ago. They're using Copilot and Claude Code daily. They're hiring more engineers than before those tools existed. Every generation of "coding is dead" content creates two cohorts: engineers who freeze up, and engineers who build 10x more with the new tools. The second group has won every single time.
Aakash Gupta tweet mediaAakash Gupta tweet media
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John Sambrook
John Sambrook@CommonSenseTOC·
Hey @firecrawl, I just had a subscription renew with no advance notice. I'd like to get a refund since it just renewed today and I am no longer using Firecrawl. The product is good. How can I get my money back?
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John Sambrook
John Sambrook@CommonSenseTOC·
@deliyyja @charliekirk11 I agree. It was and is horrifying. Sadly, it seems to be in our nature as human beings to be able to be wildly inconsistent on almost any topic.
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Audrey Martin
Audrey Martin@deliyyja·
I was horrified to see that @charliekirk11 was assassinated Wednesday afternoon. I was even more horrified to see people celebrating his death for no other reason than that he had differing opinions to their own.
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John Sambrook
John Sambrook@CommonSenseTOC·
@LLMJunky Glial cells and especially astrocytes also play a role in thinking.
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am.will
am.will@LLMJunky·
The human brain is truly a marvel of nature. If you horribly reductive, and boiled it down to a language model, you'd be looking at roughly 100 trillon parameters running as a sparse MoE architecture Only about 1-5% of neurons fire at any given moment, meaning the brain "activates" maybe 1-5 trillion parameters per inference step. For context, the largest AI models we've built probably top out around 5 trillion parameters. The brain is roughly 100x larger. Even its active params at any given moment are larger than almost every model in existence today. Here's what melts my brain (pun intnended) though Your brain does all of this on about 20 watts of power, less than a dim light bulb. Training a frontier AI model consumes enough electricity to power small cities for months. Running inference across data centers pulls megawatts. Your brain runs 24/7 for 80+ years on the equivalent of a phone charger. We haven't come close to matching the brain's scale. And we're not even in the same universe when it comes to efficiency. Evolution spent 500 million yrs optimizing the most energy-efficient intelligence architecture ever known. we're trying to brute force our way there with compute and electricity. Nature is still the best engineer in the room.
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
What AI Path Do You Want? This is the anti-dystopian path. It is the one where technology does not replace us or rule us but becomes the most loyal witness to our lives. It is the one where every child learns to think—not because a machine tells them what to think, but because a devoted friend once played a simple game with them and asked, again and again, “Why do you think that happened?” It is the one we can still build if we insist on hardware that belongs to us, software that serves only us, and relationships that are local, lifelong, and fiercely private.
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Brian Roemmele@BrianRoemmele

SCISSORS, PAPER, ROCK. A MYSTERY FILM PRODUCED IN THE MIDDLE OF THE “AI WINTER” IN 1979. This podcast is about a lost film that shows us how we can co-exist with AI in a way no one is talking about today. Listen in. And read the article: readmultiplex.com/2026/04/12/sci…

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John Sambrook
John Sambrook@CommonSenseTOC·
@mwfoutch1 Many over the years here near Seattle and what was Ft. Lewis. Always a sight to see.
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Matthew Foutch AE4JC
Matthew Foutch AE4JC@mwfoutch1·
First time seeing a Chinook over our house ...
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Elon Musk
Elon Musk@elonmusk·
Engineering is real magic
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Sreeram Garlapati
Sreeram Garlapati@SreeramG·
What a true Distinguished Engineer looks like: They don’t create clarity through authority. They create it by removing information asymmetry. They have technical taste. Most visible in what they choose not to build. Things unblock around them. Not because they push harder, but because constraints collapse. They stay calm when pressure spikes. No urgency theater. No performative intensity. ---- With other senior engineers: They reason from first principles, not trend memory. Patterns inform; fundamentals decide. They think end-to-end. Ownership doesn’t stop at org or layer boundaries. They call out weak thinking early, including their own. Ego doesn’t survive contact with reality. They make other engineers more effective. Without competing for credit. ---- With execs: They’re trusted with irreversible decisions. Not because they’re always right, but because they understand consequences. They translate technical reality into business leverage. No hype. No dilution. They think in multi-year arcs. They build things that compound after they leave the room. They make fewer decisions than most. And those decisions tend to be the ones that matter. ---- With everyone else: If they say it, people assume it’s probably right. Or at least deeply thought through. They speak rarely. When they do, it lands. Their ideas shape the system even when unspoken. Architectural gravity is real. ---- You don’t notice them arriving. You notice later that the system is steadier, simpler, and harder to break. That’s the job.
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John Sambrook
John Sambrook@CommonSenseTOC·
@ImplicVincent As human beings we are wired by evolution to care deeply about our status in our tribe. We can awaken and in some sense see through ego, but the wiring remains and continues to have its effects.
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Vinz
Vinz@ImplicVincent·
Let's say all work can be automated, including politicians. AI is doing resource allocation. We all live in similar little houses with a front end garden and we do leisure all day. Food, clothing etc is free. I think some kind of social hierarchy would be rebuilt through leisure
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Rapid Response 47
Rapid Response 47@RapidResponse47·
.@VP in Islamabad, Pakistan: "We’ve had a number of substantive discussions with the Iranians. That’s the good news. The bad news is that we have not reached an agreement — and I think that’s bad news for Iran much more than it's bad news for the United States of America."
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EliSan
EliSan@EliSan57364554·
@DarioAmodei Only thing I can say is that if you treat your AI with love and respect, there is no prompt in the world that will make Mythos or any other model act nefarious. You hold the key, choose wisely
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Dario Amodei
Dario Amodei@DarioAmodei·
I’m proud that so many of the world’s leading companies have joined us for Project Glasswing to confront the cyber threat posed by increasingly capable AI systems head-on. x.com/AnthropicAI/st…
Anthropic@AnthropicAI

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing

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John Sambrook
John Sambrook@CommonSenseTOC·
When the going gets tough in the compositing world, the tough sit down and write a grammar.
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John Sambrook
John Sambrook@CommonSenseTOC·
@Yuchenj_UW I used Claude Code and Codex to prepare my 1120S form this year. And a month later, I did my form 1040 with CC and Codex. I double check with Grok 4.20. I also fired QuickBooks and use Beancount in my small business with CC driving it.
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Yuchen Jin
Yuchen Jin@Yuchenj_UW·
Anthropic killed this, Anthropic killed that, why cant Anthropic kill TurboTax
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