Ciro Santilli is against all affirmative action, except for one: giving amazing free eduction to the poor.
Notably, Ciro is against university entry quotas.
It is said that you leave Oxford with either
Ciro Santilli very aggressively aggressively people in social media.
There are basically 3 categories:
From Machine Learning to Autonomous Intelligence by Yann LeCun (2023)
Source. After a bunch of B.S., LeCun goes on to describe his AGI architecture. Nothing ground breaking, but not bad either.Term invented by Ciro Santilli, similar to "nuclear blues", and used to describe the feeling that every little shitty job you are doing (that does not considerably help achieving AGI) is completely pointless given that we are likely close to AGI as of 2023.
In a way, Agilent represents the most grassroots electronics parts of HP from before they became overly invested in laptops and fell.
- www.quora.com/What-are-some-good-research-schools-PhD-for-Artificial-General-Intelligence-not-Machine-Learning/answer/Ciro-Santilli What are some good research schools (PhD) for Artificial General Intelligence (not Machine Learning)?
- 2020 towardsdatascience.com/four-ai-companies-on-the-bleeding-edge-of-artificial-general-intelligence-b17227a0b64a Top 4 AI companies leading in the race towards Artificial General Intelligence
- Douglas Hofstadter according to www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/ The Man Who Would Teach Machines to Think (2013) by James Somers
- Pei Wang from Temple University: cis.temple.edu/~wangp/
- www.reddit.com/r/agi/comments/zzfwww/are_there_people_actually_working_to_make_an_agi/
- Sergey Brin explicit internal memo aiming at AGI: techcrunch.com/2025/02/28/sergey-brin-says-rto-is-key-to-google-winning-the-agi-race/
AGI research has become a taboo in the early 21st century Updated 2025-07-01 +Created 1970-01-01
Due to the failures of earlier generations, which believed that would quickly achieve AGI, leading to the AI winters, 21st researchers have been very afraid of even trying it, rather going only for smaller subste problems like better neural network designs, at the risk of being considered a crank.
While there is fundamental value in such subset problems, the general view to the final goal is also very important, we will likely never reach AI without it.
This is voiced for example in Superintelligence by Nick Bostrom (2014) section "Opinions about the future of machine intelligence" which in turn quotes Nils Nilsson:
There may, however, be a residual cultural effect on the AI community of its earlier history that makes many mainstream researchers reluctant to align themselves with over-grand ambition. Thus Nils Nilsson, one of the old-timers in the field, complains that his present-day colleagues lack the boldness of spirit that propelled the pioneers of his own generation:Nilsson’s sentiment has been echoed by several others of the founders, including Marvin Minsky, John McCarthy, and Patrick Winston.Concern for "respectability" has had, I think, a stultifying effect on some AI researchers. I hear them saying things like, "AI used to be criticized for its flossiness. Now that we have made solid progress, let us not risk losing our respectability." One result of this conservatism has been increased concentration on "weak AI" - the variety devoted to providing aids to human
thought - and away from "strong AI" - the variety that attempts to mechanize human-level intelligence
Merger between Cambridge Quantum Computing, which does quantum software, and Honeywell Quantum Solutions, which does the hardware.
Silicon Photonics: The Next Silicon Revolution? by Asianometry (2022)
Source. - youtu.be/29aTqLvRia8?t=714 GlobalFoundries seems to be one of the leaders at the time. E.g. quantum computing company PsiQuantum uses them. Part of this was from acquiring IBM's microelectronics division in 2014.
Running Neural Networks on Meshes of Light by Asianometry (2022)
Source. - youtu.be/t0yj4hBDUsc?t=440 block diagram
- youtu.be/t0yj4hBDUsc?t=456 Lightmatter lightmatter.co/ seems to be using an in-silicon Mach-Zehnder interferometer to do analog matrix multiplication with light. It is an actual analog computer element!
Silicon Photonics for Extreme Computing by Keren Bergman (2017)
Source. The people who work on this will go straight to heaven, no questions asked.
There are unlisted articles, also show them or only show them.