Read the latest corrected edition of the volume "Lazar", about 130 pages, consisting of an enormous survey and summary of many fields of AI and AGI, historical and recent.
Other updates may be published soon with more narrative introductions, summaries and conclusions.
Download from https://twenkid.com/agi and the Github page of the virtual conference Thinking Machines 2025/Self-Improving General Intelligence 2025 (SIGI-2025):
https://github.com/Twenkid/SIGI-2025
Direct link: https://twenkid.com/agi/download.php?file=Lazar_The_Prophets_of_the_Thinking_Machines_20-8-2025.pdf
Perhaps I will upload it to Academia.edu and ResearchGate perhaps after a few more editing and additions.
A brief contents listing some of the domains:
#lotsofpapers ... #lazar
Lots of Papers: In AI, ML, CV, ANN, DL,
… throughout history, classical 1950s,
1960s, 1970s, 1980s, 1990s, 2000s, early 2010s to 2020s. Computer
Vision, Reinforcement Learning,
Program Synthesis. Lifelong Learning, Human-Computer Interaction, Mixed
Initiative Interfaces (Agentic Systems); Evolutionary
programming, Genetic Algorithms, Self-improving agents; Speech Synthesis,
Speech Recognition, Audio Generation etc. Groundbreaking or important
researchers or related to the flow and context of the reviewed topics; and a few Bulgarian
researchers who participated in some of the works.
* Lifelong Learning, Continual Learning,
Reinforcement Learning (historical Q-Learning, modern Deep Q-Learning: Atari
DeepMind …), RL for LLMs, policy optimizations (DPO, PPO, OREO) … Conditional
Random Fields (CRF); Chain-of-Thought prompting …
*
Survey of other techniques and research in computer vision, preceding the explosion of the application of
convolutional neural networks after 2012: DBN, RBM, MRF, SIFT etc.
*
Survey on Early Deep Learning architectures and Normalizations; seminal papers
and PhD theses by pioneers in DL from the schools of LeCun, Hinton, Bengio:
M.Ranzato, V.Mnih, A.Krizhevsky, I.Sutskever, A.Mohamed …
* Survey of Object Recognition and
Classification before Deep Learning
*
Selected Computer Vision works from 1960s to 2020s
*
Exploration and introduction of concepts and techniques in computer vision,
machine learning, neural networks
* Mixed-Initiative Interaction (Agentic Systems)
* Audio: Speech Synthesis, Audio Generation,
Speech Recognition; from 1980s to 2010s
* Neural Machine Translation, Language Models,
LLMs, Text Generation, Text and Language Learning and Representation,
Word-Embedding
*
Alternative approaches for sequence and next words prediction, instead of
neural networks: stochastic memorizer, sequence memorizer* Transformers - the
seminal paper from 2017
* Transformer architectures for images and for
reducing the quadratic complexity
*
Neural Program Synthesis
* Transformer architectures for images and for
reducing the quadratic complexity
* Evolutionary Algorithms | Genetic Algorithms |
Genetic Programming
* Genetic Programming, Genetic
Algorithms, Evolutionary Programming: Part II
*
Summary
and selection of important concepts in Evolutionary Algorithms | Genetic
Algorithms | Genetic Programming etc.
*
Vision Transformers – ViT
* Multimodal Learning, Dialog Learning,
Continual Learning
* Diffusion Models
* Self-Improving General Intelligence,
Recursive Self Improvement
...
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