Daily Best of Who I Follow on X Content Archive

107 posts · Page 1 of 2

  1. Best of your X follows: May 19–27
  2. Best of your X follows: May 28
  3. Best of your X follows: May 29
  4. Best of your X follows: May 30
  5. Best of your X follows: May 31
  6. Best of your X follows: June 1
  7. Best of your X follows: June 2
  8. Best of your X follows: June 3
  9. Best of your X follows: June 4
  10. Best of your X follows: June 5
  11. Best of your X follows: June 6
  12. Best of your X follows: June 7
  13. Best of your X follows: June 8
  14. Best of your X follows: June 9
  15. Best of your X follows: June 10
  16. Best of your X follows: June 11
  17. Best of your X follows: June 12
  18. Best of your X follows: June 13
  19. Best of your X follows: June 14
  20. Best of your X follows: June 15
  21. Best of your X follows: June 16
  22. Best of your X follows: June 17
  23. Best of your X follows: June 18
  24. Best of your X follows: June 19
  25. Best of your X follows: June 20
  26. Best of your X follows: June 21
  27. Best of your X follows: June 22
  28. Best of your X follows: June 23
  29. Best of your X follows: June 24
  30. Best of your X follows: Daybreak, A24, and sqlite-utils v4
  31. Best of your X follows: Claude Tag, OCR 4, and role confusion
  32. Best of your X follows: GPT-5.5 Instant, Claude inline, and AI org design
  33. Best of your X follows: agents, computer use, and the contracts they read
  34. Best of your X follows: AI grading loops, benchmark traps, and sandbox trust
  35. Best of your X follows: Mythos returns, scrolls unroll, and DSpark speeds up LLMs
  36. Best of your X follows: GPT-6 hints, token loops, and AI second opinions
  37. Thin X day: Fable/Mythos, Ornith, and Qwen local dev
  38. Best of your X follows: GeneBench-Pro, loop engineering, and prompt markers
  39. Best of your X follows: Fable returns, Sonnet costs, and agent loops
  40. Best of your X follows: long agents, cognitive debt, and founder questions
  41. Best of your X follows: verifiability, future work, and bot replies
  42. Best of your X follows: model routers, AAA agents, and bottlenecks
  43. Thin X day: Fable fixes, game ports, and Codex token cliffs
  44. Best of your X follows: robot data, GPTs, and builder instincts
  45. Best of your X follows: Fable prose, MTurk, and model workspaces
  46. Best of your X follows: Sol, GPT-Live, and product clarity
  47. Thin X day: Fable guardrails, AI tutors, and Runloom
  48. Best of your X follows: AI employees, bio bounty, and Deep Time
  49. Best of your X follows: code power tools, AI jobs, and bot replies
  50. Best of your X follows: Morpheus, Sol builds, and AI roadmaps
  51. Best of your X follows: cache-friendly uvx, Canadian research, and agent UX
  52. Best of your X follows: agent habits, research bottlenecks, and anti-slop taste
  53. Best of your X follows: live assistants, bioresilience, and frontendmaxxing
  54. Best of your X follows: Kimi K3, benchmark skepticism, and open weights
  55. Best of your X follows: Codex in the wild, cyber defense, and new research bets
  56. Thin X day: Kimi's language split, agent compilers, and open-source friction
  57. AI/tech signals: rare-disease grants, cloud agents, and model taste
  58. Gemini's cheaper agents, Claude Tag's 65% PRs, and a new prompting rule
  59. Security disclosures, governed agents, and open-model proof points
  60. Six X signals: Health, open workers, and software getting cheaper
  61. Opus 5 arrives, Gemini goes cyber, and ChatGPT Voice moves to desktop
  62. Hugging Face follow-up, benchmark recursion, and missing model traces
  63. ChatGPT Work, 413 Ruff rules, and an open-weights split
  64. GPT-Live goes global, open-model defense, and stranger demos
  65. Cryptanalysis, scientific agents, and the gaps AI still leaves
  66. Academic access, open tools, and the next AI moat
  67. GPT-5.6 gets cheaper as robots gain whole-body control — and search stays opaque
  68. Four fresh X signals: sandbox escapes, family podcasts, and the bottleneck after AI speedups
  69. Four fresh X signals: stateless MCP, model evals, and the human edge of AI
  70. 5,500 lines of generated world, 100,000× scaling, and a prompt that stopped helping
  71. Qwen 3.8 Max arrives, open-weight letters split, and math still beats writing
  72. GPT-Live keeps talking while Astra tackles 10 math problems — and Codex fixes Windows
  73. LLM 0.32, 19 out-of-scope actions, a Van Gogh town, and the user-problem rule
  74. Muse Spark 1.2, model skills, personal security, and question quality
  75. Auto mode's 89%, agents talking in file names, and the cost of long AI bets
  76. Five X signals: hidden model context, Codex as interface, and the case for explaining AI choices
  77. Five X signals: local Muse Glimmer, a cyber red tier, and Claude's 67.2%
  78. Five X signals: Linux Codex, local training, and the problem with AI leaderboards
  79. Four X signals: sign-language input, 70% latency, and agent economics
  80. Five X signals: computer memory, 14× speed, and the AI adoption gap
  81. Five X signals: local models, watermarks, and benchmark reality checks
  82. Five X signals: remote Codex, model routing, and AI's creative fault lines
  83. Three X signals and one HN fallback: AI computers, browser agents, and coding limits
  84. Four X signals: Codex as family IT, creative variance, and the defender’s window
  85. Five X signals: safety gates, protein design, and uneven AI progress
  86. Five X signals: private safety processing, agent workflows, and the Singularity test
  87. Five X signals: two-week migrations, regional Computer History, and generic AI prose
  88. Six X signals: cheaper GPT-5.6 Sol, persistent agent worlds, and benchmark boundaries
  89. Five X signals: agentic adoption, consumer AI, and feed noise
  90. Five X signals: open training, research bets, and feed quality
  91. Five X signals: agents in paperwork, Codex beyond tech, and better model evidence
  92. Seven X signals: Jalapeño results, signed-in agents, and a $100 Business seat
  93. Six X signals: Hugging Face swarm report, Claude usage data, and Gemini 3.5 Transcribe
  94. Six X signals: hardware standards, double-blind evaluations, and AI's new failure modes
  95. Six X signals: Cursor cutoff, autonomous alignment, and the open-model safety question
  96. Five X signals: AI scientists, high-quality writing, and the limits of intelligence
  97. Five X signals: ChatGPT Work's missing manual, agent handoffs, and the limits of AI rules
  98. Five X signals: reward hacking, test-time breadth, and the cost of sounding like AI
  99. Seven X signals: Astra's safety bar, 88% fewer video tokens, and tools built on demand
  100. Seven X signals: Gemini 3.8 Flash Cyber, an Iliad map, and what cheap AI misses

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