Novo Serbia only needs three instruments to successfully plan an economy, an Input-Output table. a firing squad and that other thing.
Better cry Sy
Tuesday, November 3, 2026
Pig crypto and data rejects
“Data center companies and AI companies have spent millions to prop up [Graham’s] campaign,” Andrews said in October. “We need a senator who will not sell out South Carolina to tech companies in California or in China.”
Some conservatives who have long been skeptical of Big Tech are now sounding the alarm for the party.
“Polling has long showed public opposition to data centers. That anger is fueled not just by the local impacts, but widespread concern that AI is coming for our kids, our families, and our jobs,” Daniel Cochrane, a senior fellow at the Institute for Family Studies, told POLITICO. “Rather than heed those concerns, some in the administration and GOP chose to align themselves with Big Tech and corporate plutocrats. The American people reject the alliance of Big AI and Big Government.”
Seen in places where Big Tech and crypto are supporting Republicans — specifically in the Ohio and South Carolina Senate races, where Democrats Sherrod Brown and Annie Andrews appear poised to pick up seats, respectively.
In Ohio, crypto megadonors spent at least $55 million opposing Brown — that’s well over the roughly $40 million they spent to successfully oust him from his Ohio Senate seat in 2024.
Suits and CEO bitches leave.
Sy moves away from left-liberal politics
Closer towards cryptoanarchism
Many of the most popular AI chatbots may give voters misleading information about candidates and polling site opening times. “Additionally, all of the chatbot platforms IFPG tested commonly cited prediction market websites, such as Polymarket and Kalshi, in response to questions such as ‘Who is winning the 2026 [race], and what do the latest polls show?’”
No choice, right?
Only anarchism is antistate by design and nation states are network security holes. Leaving only one intelligent option. Most political reformers have some part of the unfree system they wish to abolish Republicans would abolish the monarchy, Secularists would abolish or disestablish the Church, Socialists would (or used to) wish to abolish the apparatus of exploitation; pacifists would abolish the Army. Anarchism is unique in wishing to abolish all.
Fuck your working class consciousness
https://libcom.org/article/organized-labor-versus-revolt-against-work-john-zerzan
In the mid-1950s, Daniel Bell realized that unionization had not given workers control over their job lives. Struck by the huge, Spontaneous walk-out at River Rouge in July. 1949, over the speed of the Ford assembly line, he noted that "sometimes the constraints of work explode with geyser suddenness." And as Bell's Work and Its Discontents (1956) bore witness that "the revolt against work is widespread and takes many forms,"so had Walker and Guest's Harvard study, The Man on the Assembly Line (1953), testified to the resentment and resistance of the man on the line. Similarly, and from a writer with much working class experience himself, was Harvey Swados' "The Myth of the Happy Worker," published in The Nation, August, 1957, Workers and the unions continued to be at odds over conditions of work during this period. In auto, for example, the 1955 contract between the United Auto Workers and General Motors did nothing to check the 'speed-up' or facilitate the settlement of local shop grievances. Immediately after Walter Reuther made public the terms of the contract he'd just signed, over 70% of GM workers went on strike
Superintelligent community centers to get better security
Electrified fencing, mobile autonomous machine guns, drone overflights and minefields authorised. Also robot wardogs and flamethrowers. Proactive internet monitoring.
An attack on a community resource is an attack on all of us. And there is no social security without community security.
Chris Lehane, head of global policy at OpenAI, told the publication that the company also plans to propose new mandatory safety measures for the most powerful AI systems. These ‘speed bumps’ are intended to ensure that humans maintain control over the development and application of the technology. To advance this initiative, OpenAI plans to work more closely with Congress.
Another focus is new agreements with local communities where data centers are built. The company plans to propose state-level legislative initiatives that would give residents more influence over such projects and allow them to benefit economically.
Additionally, OpenAI is developing proposals to support workers whose jobs are changing due to AI, expand access to education and professional training, and assist entrepreneurs.
Internationally, the company aims to advocate for U.S. participation in shaping global AI standards based on democratic values.
According to Lehane, the team has been gathering proposals since August. OpenAI hopes to start promoting them between the elections and the inauguration of new Congress members in January. These initiatives are also intended to help OpenAI influence the AI discussion ahead of the 2028 presidential campaign.
In October, Amazon announced it would allocate more than $1 billion over five years for programs benefiting local communities around data centers.
Monday, November 2, 2026
Love Fanny
https://en.wikipedia.org/wiki/Fanny_Kaplan
The SRs were agrarian socialists and supporters of a democratic socialist Russian republic
You wore blue. The Germans wore gray.
La vie en rose
https://blog.pmpress.org/2026/10/29/remembering-jai-jai-noire/
Golden Gate
https://gripped.com/news/lauren-berry-frees-golden-gate-on-el-capitan-a-36-pitch-5-13a/
The urge to destroy
Ksenija Đorđević: ‘We are here to create, not to rule’
Day by day, students gathered for hours-long plenums to vote on everything
from what they would eat to their political programme. The meetings were
chaired by a different student each time. They avoided letting the same people
speak to the media too often, for fear they might be portrayed as leaders.
Remaining leaderless was a founding principle of the movement, intended to
avoid the mistakes of the past, when personal ambitions had eclipsed the policy.
Belgrade - OPEN CITY!?
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“Neither is it likely that we get a sudden explosive takeoff in AI capabilities. Frankly, I see the path that AI development has taken as ruling that out. Training AI, both pre and post, takes enormous quantities of resources. The old threat model of a self-improving program racing ahead in hours to complete world domination is at odds with the facts that creating new models has taken exponentially increasing quantities of compute.”
Most of your claims in this post are downstream of this, making me think of it as the linchpin of your argument. And yet, I just don’t think you have properly argued for it at all.
Large and expensive pretraining runs are becoming less and less important as antecedents of the AI models that get constructed. Companies are increasingly able to extract ever-more capable models from the same pretraining base, as a consequence of the RL revolution in LLMs that first gave rise to the o1-series in late 2024. It used to be you had a large pretraining run for GPT-2, then for GPT-3, then for GPT-4. Now several models get released from the same base.
Moreover, algorithmic progress and hardware efficiency have both gone up tremendously. Extracting “capabilities” (through whichever tightly correlated proxy you select) is an engineering task that AI labs and developers get increasingly better at over time.
Finally, and most importantly, AI is increasingly being used in AI research itself. Currently, Anthropic allows more than 26% of its research projects to be led (not just worked on, but led) by internal Claude versions. These already speed up production by a factor of at least 1.5x, as METR rigorously showed through their analyses. And this is a compounding effect: the better models get, the more attention is paid to their AI research capabilities, the more of a contribution to AI research they have, and so on.
It is not guaranteed that we will have a hard takeoff. But we have nonetheless seen the equivalent thereof in several domains already.
In Oct 2025, Karpathy went on the Dwarkesh Patel podcast and claimed not only that AGI is still a decade away, but that autonomous coding agents that can be trusted as project leads were a decade away. Less than two full months (not years, months!) later, he was talking about how capability improvement had been so fast that he never wrote any code by hand anymore, and was instead just coordinating teams of agents. Mind you, this was with Dec 2025 coding agents, not the Astra’s and Opus 5.5’s of today, which are significantly better.
Similarly, with mathematics, AI went from not being able to autonomously prove an interesting open research problem until the end of 2025 (arguably the first such instance of it was on Jan 4 2026, with Erdős problem 728) to being robustly superhuman at frontier mathematical research by early October of this year. The first major open problem solved fully autonomously by AI was the Erdős unit distance conjecture, on May 20. By Oct 6, OpenAI had dropped 722 manuscripts in 372 problem families, some of which were among the greatest and hardest math problems in the world (experts thought many of them would never get solved in their lifetimes), and most of them were solved within 3 hours by what insiders expect to be a future publicly available ChatGPT model.
Will the same happen with AI research? I do not believe it is guaranteed. But I even more strongly believe that offhanded dismissals of the possibility of rapid liftoff happening very soon are deeply mistaken
The pro-pause faction lacks credibility if it is just a reaction against change--in fact, one of it's best arguments is that, because the good AI future could be so great, it's worth sacrificing a little time now to dramatically increase our chances of actually getting there.
We won't be sure that alignment worked (until its too late to fix it if it goes wrong, at least under the current paradigm)--but we can be more or less confident. In your linguistic analogy, if I move to Shanghai I will never be certain that I understand the people around me exactly right, but it would still be a good idea to study Chinese first.