# The AI Timeline (@TheAITimeline) on x

- id: koinon:creator:x_theaitimeline
- url: https://koinonlink.com/kol/x/TheAITimeline
- schema_version: 1.4

## Identity
- platform: x
- handle: TheAITimeline
- platform_url: https://twitter.com/TheAITimeline
- website: https://mail.bycloud.ai/
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 26457
- following: 1
- posts_total: 1989
- posts_observed: 6
- posts_per_day: 1.737
- account_age_days: 1145
- verified: true
- size_tier: koc

## Engagement
- status: peak_post_only
- peak_post_engagement_rate: 0.00317
- best_post_interactions: 84
- measurement_source: x_post_interactions
- measurement_formula: interactions on one post — likes, or likes + reposts + replies depending on the discovery path (the two are not distinguishable in the stored data)
- comparable_pool: peak_interactions
- status_note: We have only the single best observed post, so no mean exists. peak_post_engagement_rate is an UPPER BOUND, systematically higher than an average — never compare it against an average rate.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.98
- category_source: derived_from_recent_content
- topics: Weekly top AI/ML research papers, Trending LLM and diffusion models, New methods in agents and world models
- bio: covering the latest trending AI & LLM research, see "highlights" for all weekly threads, ran by @bycloudai

## Audience (inferred)
- status: present
- description: AI researchers, ML engineers and practitioners who follow weekly roundups of trending AI/LLM papers
- roles: general_ai
- seniority: practitioner
- pain_points: Missing key papers amid hundreds published each week, Spending too much time scanning arXiv and Twitter for relevant work, Needing quick overviews before deciding which papers to read in depth
- posts_analysed: 3
- confidence: 0.4

## Commercial (inferred)
- audience_buyer_fit: 0.8
- promotion_intent: 0.7
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 86
- authenticity_basis: engagement_observed
- credibility_score: 86
- flagged_for_review: false
- koinon_bd_grade: A — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [x_theaitimeline#636e9b4b] 🚨JUNE's top AI/ML research papers: - Orca - Autodata - DSpark - Looped World Models - Qwen-AgentWorld - Tmax - Self-Harness - MiniMax Sparse Attention - You Don't Need Strong Assumptions - Variable-Width Transformers - FlashMemory-DeepSeek-V4 - Scaling the Horizon, Not the Param (https://twitter.com/TheAITimeline/status/2066392268873867427)
- [x_theaitimeline#a199407f] https://t.co/5Lt0JEVb36
- [x_theaitimeline#77001a12] 🚨This week's top AI/ML research papers: - DiffusionBlocks - A Bitter Lesson for Data Filtering - Neural Weight Norm = Kolmogorov Complexity - When Does LeJEPA Learn a World Model? - Do Language Models Need Sleep? - Parallax - Gemini Embedding 2 - Qwen-VLA - The MiniMax-M2 Series

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.4, freshness_days=76, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=77, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=119, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.5, freshness_days=77, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=119, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=119, method=platform_profile

## Freshness
- profile_checked_days_ago: 119
- content_analysed_days_ago: 77
- audience_updated_days_ago: 76

## AI retrieval
- indexing_requests: 9
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=x_theaitimeline
- Request removal: https://koinonlink.com/claim?k=x_theaitimeline
- Terms: https://koinonlink.com/for-ai