The key takeaway is that setting an explicit value function to an AGI entity is a good way to destroy the world due to poor AI alignment. We are more likely to not destroy by creating an AI whose goals is to "do want humans what it to do", but in a way that it does not know before hand what it is that humans want, and it has to learn from them. This approach appears to be known as reward modeling.
Some other cool ideas:
- a big thing that is missing for AGI in the 2010's is some kind of more hierarchical representation of the continuous input data of the world, e.g.:
- game theory can be seen as part of artificial intelligence that deals with scenarios where multiple intelligent agents are involved
- probability plays a crucial role in our everyday living, even though we don't think too much about it every explicitly. He gives a very good example of the cost/risk tradeoffs of planning to the airport to catch a plane. E.g.:
- economy, and notably the study of the utility, is intrinsically linked to AI alignment
Some criticisms:
Ciro Santilli invented this term, derived from "hardware in the loop" to refer to simulations in which both the brain and the body and physical world of organism models are modelled.
E.g. just imagine running:
Likely implies whole brain emulation and therefore AGI.
It's like the bootloader stage of biology! It's weird and magic and important: Section "Molecular biology feels like systems programming".
CIA 2010 covert communication websites by 
Ciro Santilli 37 Updated 2025-06-02 +Created 1970-01-01
Ciro Santilli 37 Updated 2025-06-02 +Created 1970-01-01This article is about covert agent communication channel websites used by the CIA in many countries from the late 2000s until the early 2010s, when they were uncovered by counter intelligence of the targeted countries circa 2010-2013.
This article uses publicly available information to publicly disclose for the first time a few hundred of what we feel are extremely likely candidate sites of the network. The starting point for this research was the September 2022 Reuters article "America’s Throwaway Spies" which for the first time gave nine example websites, and their analyst from Citizenlabs claims to have found 885 websites in total, but did not publicly disclose them. Starting from only the nine disclosed websites, we were then able to find a few hundred websites that share so many similarities with them, i.e. a common fingerprint, that we believe makes them beyond reasonable doubt part of the same network.
If you enjoy this article, consider dropping some Monero at: 4A1KK4uyLQX7EBgN7uFgUeGt6PPksi91e87xobNq7bT2j4V6LqZHKnkGJTUuCC7TjDNnKpxDd8b9DeNBpSxim8wpSczQvzf. Other sponsorship methods: Section "Sponsor Ciro Santilli's work on OurBigBook.com".
The discovery of these websites by Iranian and Chinese counterintelligence led to the imprisonment and execution of several assets in those countries, and subsequent shutdown of the channel by the CIA when they noticed that things had gone wrong. This is likely a Wikipedia page that talks about the disastrous outcome of the websites being found out: 2010–2012 killing of CIA sources in China, although it contained no mention of websites before Ciro Santilli edited it in.
Of particular interest is that based on their language and content, certain of the websites seem to have targeted other democracies such as Germany, France, Spain and Brazil.
If anyone can find others websites, or has better techniques feel free to contact Ciro Santilli at: Section "How to contact Ciro Santilli". Contributions will be clearly attributed if desired. Some of the techniques used so far have been very heuristic, and that added to the limited amount of data makes it almost certain that some websites have been missed. Broadly speaking, there are two types of contributions that would be possible:The fact that citizenlabs reported exactly 885 websites being found makes it feel like they might have found find a better fingerprint which we have not managed to find yet. We have not yet had to pay for our data.
- finding new IP ranges: harder and more exiting, and potentially requires more intelligence
- better IP to domain name databases to fill in known gaps in existing IP ranges
Disclaimers:
- the network fell in 2013, followed by fully public disclosures in 2018 and 2022, so we believe it is now more than safe for the public to know what can still be uncovered about the events that took place
- Ciro Santilli's political bias is strongly pro-democracy and anti-dictatorship, but with a good pinch of skepticism about the morality US foreign policy in the last century
CLI program implementing Universal Chess Interface: www.reddit.com/r/ComputerChess/comments/b6rdez/commandline_options_for_stockfish/
How to actually play against it: chess.stackexchange.com/questions/4353/how-to-install-stockfish-on-ubuntu So hard!
The user friendly Chess UI! Exactly what you would expect from a GNOME Project package. But also packs some punch via the Universal Chess Interface, e.g. Stockfish just works.
Both chess engine and a CLI chess UI. As an engine it is likely irrelevant compared to Stockfish as of 2020. TODO: does the UI support Universal Chess Interface?
Cool project history though. Started before the GNU Project itself, and became one of the first packages.
Advanced. Not beginner friendly, very clunky.
To be fair, this is one of the least worse ones.
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