John Smart retweeted
WARREN: Trump purchased up to $1m of Nvidia stock. A week later, he changed US policy and loosened the rules on export controls so Nvidia could sell its chips to China. Now the stock is through the roof. Should the SEC be knocking on his door?
BESSENT: Get your house in order, senator. Lead by example
Demis Hassabis wants to do something no civilization has ever been able to do.
Run reality more than once.
Hassabis: “AI itself will maybe unlock new sciences… the one I’m particularly excited about is AI for simulations.”
Every economy ever built. Every policy ever enacted. Every war ever fought.
Happened exactly once. Against the entire human population. With no way to run it again.
Hassabis: “If you raise interest rates by half a percent, you have to do it in the real world and then see what happens. You can have theories, but you can’t run it thousands of times.”
Every major decision in the history of civilization was a single experiment run on billions of people with no control group and no second attempt.
We called the results knowledge.
They were the scars of bets we were never allowed to place twice.
Hassabis: “Why aren’t they just sciences like physics today? Because the problem is they’re emergent systems… it’s very hard to do repeated controlled experiments.”
Physics became physics because you can drop a ball a thousand times and get the same answer.
You cannot drop a civilization and get any answer at all. You just get the wreckage and call it a lesson.
Hassabis wants to change that.
Hassabis: “If you could simulate things really accurately, then maybe there’s sort of new sciences to be done where you can rigorously sample from a very accurate simulator.”
Simulate an economy. Crash it. Rebuild it. Adjust the inputs. Run it again.
Do for civilization what the laboratory did for chemistry.
But that word “accurately” is doing more work than anyone is willing to examine.
To simulate a society well enough to learn from it, you have to simulate the people inside it.
Not averages. Not abstractions. Agents with preferences and fears and breaking points.
The more accurate the simulation gets, the less separates it from the thing it represents.
The line between physics and economics was never about the nature of what was being studied.
It was about the limits of the thing doing the studying.
Humans were never too complex to predict. We were too complex to calculate.
AI does not create new science. It collapses every science into one.
Everything computable becomes predictable. Everything predictable becomes simulable.
And past a certain resolution, the gap between a simulated world and a real one stops being a technical question.
It becomes a philosophical question no one is prepared to answer.
A simulation you can tell apart from reality is a simulation that has not finished improving.
The people inside a perfect one would not wonder whether their world was generated.
They would feel exactly the way you feel right now. Reading this. Certain they are real.
That certainty is not evidence. It is exactly what a successful simulation would produce.
Hassabis: “That will allow us to make much better decisions in these, today, what are very uncertain domains.”
What he is building is not a forecasting tool.
It is the quiet proof that “real” was only ever a word for what we had not yet learned to compute.
And that word is about to lose its meaning.
John Smart retweeted
There will be no AI jobpocalypse.
The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it.
I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines.
Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%.
Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable!
Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more.
Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus.
To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market.
Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades.
Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have).
Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future!
[Original text in The Batch newsletter.]
John Smart retweeted
In Australia, SwarmFarm Robotics is building an open platform for modular, right-to-repair farm bots.
Each robot, named “Robbie” or “Bottomley Potts” can spray, seed, or cultivate.
Farming becomes scalable, decentralized, and resilient.
Their slogan? “Let robots do the dirty work.”
John Smart retweeted
Growers use these robots for:
- Harvest crops without damage,
- use AI to remove weeds without chemicals,
- plant seeds with precise depth and spacing for stronger crops, and
- analyze soil nutrients to guarantee the right growth balance.
John Smart retweeted
only the statistically illiterate believe in straight lines on log plots, they don’t exist in the real world
John Smart retweeted
Using AI to prepare for meetings: "Bing, I am pasting in the code for an .ics calendar invite, can you brief me for the event?" Both wow and yikes.
(I hid the names of the people in the 2nd image, though obviously it isn't saying anything that isn't public information from bios)
John Smart retweeted
The World Wide Web is a virtual collaboration space. It’s …a worldwide brain. If we recognize that, then we recognize we’re building something that’s much more elaborate than any technological edifice we’ve ever built before—and far more important to…humanity. @johnmsmart
John Smart retweeted
Economists Acemoglu and Restrepo say 50-70% of changes in U.S. wages since 1980 can be attributed to wage declines among blue-collar workers who were replaced or degraded by automation. Earnings are 15% lower for men with no HS degree than in 1980. nber.org/papers/w28920
John Smart retweeted
Sci Hub is such a perfect example of the difference between the legal and the moral. Significantly illegal, constantly on the verge of being shut down / blocked / excluded from platforms as a result, and a huge net positive for humanity with almost zero downsides.
John Smart retweeted
Enough is enough. Amazon hosts Parler on @awscloud.
As Amazon workers, we demand Amazon deny Parler services until it removes posts inciting violence, including at the Presidential inauguration.
We cannot be complicit in more bloodshed and violent attacks on our democracy.
John Smart retweeted
Just finished reading a fantastically comprehensive and insightful review of the memory engram literature by Josselyn @sjo09 and Tonegawa:
science.sciencemag.org/conte…
When EM #connectomics finally ‘summits the engram’ we will find many flags and footprints
John Smart retweeted
I'm surprised by how many people tell me they've never heard about this, so let's say it again.
In 2016 - five states ran their entire elections by mail. 100%.
Washington State
Oregon
Hawaii
Utah
Colorado
In 2020, the total will be 9 states plus DC. (CA, NV, NJ, VT).
John Smart retweeted
SCOOP by @Washingtonpost's @Milbank: 15 Trump administration officials were embedded with the WHO in Geneva, working full time, hand-in-glove with the organization on the virus from the very first day China disclosed the outbreak to the world, Dec. 31. washingtonpost.com/opinions/…
John Smart retweeted
COVID-19 Claims Life of Michigan 5-Year-Old Girl, One of Three Children in U.S. to Have Died From Virus kmov.com/covid-19-claims-lif…
John Smart retweeted
#PopeforUBI – at Oregon, USA
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John Smart retweeted
Here is the speech that the country *needed* to hear from the President tonight:
"My fellow Americans, the next few months are going to be hard. For many of us, harder than anything we've faced in our lifetimes.
John Smart retweeted
The WHO had produced 1.4 million tests by the end of February.
We took none of them, because Trump decided to produce his own test, then botched the development and roll out.
It wasn't the WHO that put us in the position we are today. It was our own President.
John Smart retweeted
Replying to @sfiscience @John_Schroeter
Other contributors include @DavidBrin, @Naveen_Jain_CEO, @avantgame, @aubreydegrey, @KurzweilAINews, @Urbanverse, Alan Kay, @dweinberger, @paragkhanna, @futuredition, @RobotLaunch, @Accone, and @kjaerglobal, among many others.
It's a seriously diverse tour of perspectives.


























