The Curious Engineer

All blogs / AI / ML

Piekniewski's blog

blog.piekniewski.info

On limits of deep learning and where to go next with AI.

AI / MLEssays / personal

’16’17’18’19’20’21’22’23’24’25’26
Posts
80 from 6 Apr 2016 to 13 Nov 2024
Posting
now and then
Kind
personal blog
Feed
https://blog.piekniewski.info/feed/

2024 2

  1. Singularity missed
  2. Fat tails are weird

2023 5

  1. The Church of AGI
  2. The Atom of Intelligence
  3. Ai Reflections
  4. AI psychosis
  5. Science, dogma and mysteries.

2022 1

  1. What actually is statistics?

2021 3

  1. Farcical Self-Delusion
  2. Brain computer confusion
  3. Ai mid 2021. Self driving car meets reality.

2020 4

  1. AI Update, Late 2020 - dumpster fire
  2. AI - the no bullshit approach
  3. DeflAition
  4. Autonomous vehicle safety myths and facts, 2020 update.

2019 9

  1. The musings of a transformer
  2. AI update, late 2019 - wizards of Oz
  3. Reviewing Rebooting AI
  4. Civilization from scratch
  5. AI circus, mid 2019 update
  6. Deep learning and shallow data
  7. A brief story of Silicon Valley's affair with AI
  8. Autonomous vehicle safety myths and facts, 2019 update
  9. Fooled by data

2018 13

  1. Elon and the collective
  2. AI winter - update
  3. Deep learning - the "why" question.
  4. Mathematical foundations of neuroscience
  5. Some fun numbers about the human brain
  6. 2017 PVM talk at UC Merced
  7. Autopsy of a deep learning paper
  8. Rebooting AI - postulates
  9. AI winter - Addendum
  10. AI winter is well on its way
  11. Are black holes really so black?
  12. Some new ideas for AI benchmarks
  13. Autonomous vehicle safety myths and facts, 2018 update

2017 19

  1. Electric shock
  2. Mt. intelligence
  3. Optimality, technology and fragility.
  4. When the tail is bigger than the dog
  5. The paradox of reproducibility in statistical research
  6. Problems with measuring performance in Machine Learning
  7. Silent immobility
  8. Autonomous car safety myths and facts
  9. Intelligence confuses the intelligent
  10. Inside of a nebula
  11. The complexity of simplicity - balancing on the Occam's razor
  12. Who will figure out intelligence?
  13. The meta-parameter slot machine
  14. Give me a dataset to train, and I shall move the world
  15. Self made time capsule, part 2.
  16. Self made time capsule, part 1
  17. PVM on the GPU (dev update)
  18. What would an autonomous car do?
  19. Outside the box

2016 24

  1. Can a deep net see a cat?
  2. Scaling up AI
  3. Recurrent dreams and filling in
  4. Learning physics is the way to go
  5. More thoughts on the self driving car
  6. Yann LeCun lecture at CMU, 11.2016, a few comments
  7. Myths and facts about AI
  8. AI and the ludic fallacy
  9. Predictive Vision in a nutshell
  10. Reactive vs Predictive AI
  11. Statistics and dynamics
  12. Self driving mirage
  13. What if we had a warp drive?
  14. The Elephant in the Chinese room
  15. The peculiar perception of the problem of perception
  16. Adversarial red flag
  17. Just how close are we to solving vision?
  18. Intelligence is real
  19. When you are 80% there means you are not there
  20. PVM is out
  21. Deep nets and the brain
  22. Sysadmin hobby
  23. What is difficult and what is easy?
  24. Introduction