AGI bibliography Updated 2025-07-16
AGI blues Updated 2025-07-16
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.
AGI conference Updated 2025-07-16
Agilent Technologies Updated 2025-07-16
In a way, Agilent represents the most grassroots electronics parts of HP from before they became overly invested in laptops and fell.
Agilent Technologies oscilloscope Updated 2025-07-16
Aging Updated 2025-07-16
AGI research Updated 2025-07-16
AGI research entity Updated 2025-07-16
- 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/
Alanine Updated 2025-07-16
Bluetooth Updated 2025-07-16
AGI research has become a taboo in the early 21st century Updated 2025-07-16
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
AGI software Updated 2025-07-16
AGI test Updated 2025-07-16
Agnosticism Updated 2025-07-16
Aharonov-Bohm effect Updated 2025-07-16
This shows that viewing electromagnetism as gauge theory does have experimentally observable consequences. TODO understand what that means.
In more understandable terms, it shows that the magnetic vector potential matters where the magnetic field is 0.
A Hundred Birds Pay Homage to the Phoenix Updated 2025-07-16
AI accelerator Updated 2025-07-16
The Coming AI Chip Boom by Asianometry (2022)
Source. AI alignment Updated 2025-07-16
As highlighted e.g. at Human Compatible by Stuart J. Russell (2019), this AI alignment intrinsically linked to the idea of utility in economy.
AI brittleness Updated 2025-07-16
Generative adversarial network illustrates well AI brittleness. The input looks obvious for a human, but gets completely misclassified by a deep learning agent.
AI brittleness and robustness Updated 2025-07-16
There are unlisted articles, also show them or only show them.