Backlog

Welcome to my current writing topic backlog. This list was culled down to the current size during the great backlog grooming of September 29, 2024. My plan is to keep updating this weblog page as a live backlog of topics that I’m considering writing about. Please note: separate backlogs exist for other projects as well including the Lindahl Letter and nels.ai which are distinct and different from this backlog.

  1. Take a look at the GitHub project GUAC
  2. Review of Colorado tech/startup meetup groups
  3. AI redteam startup checklist
  4. Legacy organizations giving up on deep knowledge
  5. When will we see our first space mechanic training program?
  6. Tabula Rasa day: the facts got less factsy
  7. Has the number of granted patents exploded?
  8. How common are ITIL certifications?
  9. AI red teaming a study maybe a more complex research note
  10. Who is providing independent red team services?
  11. Demystifying the algorithms driving internet traffic
  12. How will we defend ourselves against the impending onslaught of automated sales agents?
  13. Knowledge management in the age of LLMs
  14. Stacked knowledge graphs
  15. Take a look at stacking or merging LLMs
  16. How would a large language model eat another model?
  17. Model ingestion of other models. Do we have a model retcon process?
  18. Model tuning with other models
  19. Bayesian pooling model tuning to fill in gaps
  20. The intersection of public administration and technology
  21. Changes and uses in encryption technology
  22. Sentiment analysis and modern polling methodologies
  23. Update my general uses cases for machine learning graphic
  24. The ethical use of large language or foundational models
  25. Finish up writing the breakdown of modern polling paper
  26. An independent polling research syllabus?
  27. Sparsity in advertising response
  28. Biggest media events of the year
  29. How do local governments get feedback?
  30. Beyond voting as feedback an exploration of government listening to constituents
  31. The feedback imperative
  32. minutes of delivery… The golden hour
  33. Feedback literature review
  34. What even is feedback?
  35. How do you manage and store feedback?
  36. Taking action from feedback
  37. Managing feedback over time
  38. Feedback drift
  39. Beyond feedback
  40. That first day with feedback
  41. So your feedback got boring
  42. Sorting feedback themes
  43. Writing a feedback report
  44. Reporting on feedback
  45. Advanced feedback methodologies
  46. Passive feedback
  47. Automated feedback collection methods
  48. The feedback tree
  49. Beyond attention by incorporating feedback
  50. At what point did the party platform stop mattering?
  51. The failure of facts; facts failed
  52. Secure feedback
  53. Feedback related businesses
  54. What feedback do we even get normally
  55. Performance feedback
  56. Generative model security
  57. Engineering discipline security
  58. Evaluating AI security jobs
  59. Crafting an AI Security syllabus
  60. AI security architecture
  61. AI governance
  62. The fall of public space (could be a book)
  63. A research note on all wine industry machine learning papers 
  64. Public intellectual thought leadership
  65. Digital twins
  66. Machines that build machines
  67. Was this third year of research worth it?
  68. Building dreaming into AI systems
  69. Public attitudes about artificial intelligence