News & releases
226 ranked historical posts · 31.6% of represented canon
Find a post in r/OpenAI
Ranked over every collected post title and body in this community. The corpus chunk is fetched once, then searched entirely in your browser — nothing you type leaves this page.
Type a phrase to rank every collected post in this community.
Top-content observatory · Ranked archive + recent pool
What rises in r/OpenAI.
Historical canon716
×Older ranked records represented before 2026-07-02. Useful for prominence and memory—not total activity.
Recent candidate pool1,000
Newest records from 2026-07-02 to 2026-08-08. The boundary is inferred because original retrieval provenance was not stored.
Analysis availability · Core views
Core views require at least 1,500 total records and 500 canon records; this corpus has 1,716 and 716. 1,716 records have enriched topic assignments.
Agents & tools
+2.4pp in the inferred recent pool versus canon
The visible canon by year
Leading detected topic and ranked-record sample size for each represented year. Counts describe available evidence only; they are not activity levels.
5represented years
Fine-tuning & training1 ranked records represented
Prompting & UX24 ranked records represented
News & releases78 ranked records represented
News & releases409 ranked records represented
News & releases204 ranked records represented
Recent contenders
What earned attention in this snapshot.
Age bands are measured as of 2026-08-08, not today. The newest-post pool is filtered within those bands, then ranked by score and reply-count percentiles. Posts newer than 7 days are withheld when enough mature candidates exist.
01
AI raceAgents & tools · 14–29 days old at snapshot · 3,174 score · 512 replies
100index02Kimi-K3 arrived: The era of the Chinese labs being far behind is overAgents & tools · 14–29 days old at snapshot · 2,403 score · 530 replies
100index03Bye Claude..it was nice while it lasted, until it wasn’t.Coding & dev tools · 14–29 days old at snapshot · 1,300 score · 408 replies
99index04Return of the bicameral mind.Community & meta · 7–13 days old at snapshot · 912 score · 127 replies
99index05Anthropic is literally copying OpenAI’s marketing team at this pointNews & releases · 7–13 days old at snapshot · 800 score · 156 replies
99index06Think this could happen to OpenAI ?News & releases · 14–29 days old at snapshot · 1,246 score · 296 replies
99index07Apple vs OpenAINews & releases · 14–29 days old at snapshot · 4,237 score · 130 replies
99index08Hugging Face CEO suspected the sophisticated cyberattack on their infrastructure might have come from a frontier labNews & releases · 14–29 days old at snapshot · 1,094 score · 256 replies
99index09OpenAi says it has reached a new threshold in AI, new model capable of breakthrough researchNews & releases · 7–13 days old at snapshot · 372 score · 253 replies
99index10Ngl Chatgpt explains concepts better than half my professorsPrompting & UX · 7–13 days old at snapshot · 430 score · 121 replies
98index11OpenAI’s internal model “Astra” claims 10 major advances in mathematics and theoretical computer scienceNews & releases · 7–13 days old at snapshot · 693 score · 92 replies
98index12Elon's Tweet about OpenAI's ModelNews & releases · 14–29 days old at snapshot · 1,002 score · 304 replies
98indexCandidate index is relative to this recent pool, not a prediction of future quality or final Reddit rank.
Snapshot versus the canon
What persists, breaks through, or saturates.
Recent topic representation is compared with the ranked historical canon. This is a comparison between two sampling lenses—not a census of either period. Thin evidence stays on the Watchlist instead of receiving a directional label.
Swipe to compare every lens →
Pattern / sampleTopicCanonRecent poolContender rate
Durable winnerBroad sampleNews & releases31.6% 226 posts29.3% 293 posts2.1× 11 contenders
Fading canonBroad sampleCommunity & meta9.4% 67 posts2.9% 29 posts1.9× 1 contenders
Fading canonBroad sampleFine-tuning & training6.1% 44 posts2.6% 26 posts2.1× 1 contenders
Saturated nowBroad samplePrompting & UX12.4% 89 posts20.4% 204 posts0.3× 1 contenders
Saturated nowBroad sampleModel comparison7.7% 55 posts9.7% 97 posts0.6× 1 contenders
WatchlistBroad sampleSafety & alignment8.8% 63 posts6.0% 60 posts0.0× 0 contenders
WatchlistBroad sampleAgents & tools10.8% 77 posts13.2% 132 posts0.8× 2 contenders
WatchlistBroad sampleCoding & dev tools4.7% 34 posts7.1% 71 posts0.8× 1 contenders
WatchlistBroad sampleQuantization2.7% 19 posts1.5% 15 posts0.0× 0 contenders
WatchlistBroad sampleRAG & retrieval2.4% 17 posts3.1% 31 posts0.0× 0 contenders
WatchlistBroad sampleHardware & GPU1.5% 11 posts2.0% 20 posts0.0× 0 contenders
WatchlistBroad sampleLocal LLM setup2.0% 14 posts2.2% 22 posts0.0× 0 contenders
Candidate-pool signals
Read the recent pool without contaminating the canon.
Every lens below uses only the inferred newest-post cohort from 2026-07-02 onward. They describe patterns inside that selected pool—not subreddit-wide prevalence.
Swipe or scroll horizontally to see all signal values.
Repetition
What the community keeps saying
Distinct-post frequency across 1,000 titles and 767 available bodies. High-information two-word frames lead; normalized domain terms remain expandable.
015.6 solphrase
Peak 5.3 · latest 3.1
48 posts · 4.8%02gpt 5.6phrase
Peak 4.8 · latest 2.7
43 posts · 4.3%03hugging facephrase
Peak 3.1 · latest 2.2
29 posts · 2.9%04gpt-5.6 solphrase
Peak 2.7 · latest 2.7
24 posts · 2.4%05open sourcephrase
Peak 1.9 · latest 1.8
19 posts · 1.9%06first timephrase
Peak 2.2 · latest 2.2
18 posts · 1.8%07every timephrase
Peak 3.6 · latest 3.6
18 posts · 1.8%08openai anthropicphrase
Peak 2.7 · latest 2.7
16 posts · 1.6%Show recurring domain terms
09openaiterm
Peak 27.8 · latest 27.8
241 posts · 24.1%10chatgptterm
Peak 23.8 · latest 23.8
225 posts · 22.5%11modelterm
Peak 17.6 · latest 16.6
174 posts · 17.4%12allterm
Peak 16.5 · latest 14.3
160 posts · 16.0%13modelsterm
Peak 14.9 · latest 10.3
139 posts · 13.9%14timeterm
Peak 14.8 · latest 14.8
134 posts · 13.4%15workterm
Peak 13.5 · latest 13.5
127 posts · 12.7%16codexterm
Peak 13.5 · latest 9.0
125 posts · 12.5%17eventerm
Peak 12.6 · latest 12.6
112 posts · 11.2%18everyterm
Peak 11.7 · latest 11.7
107 posts · 10.7%Inspect language emerging within the recent pool
Emergence
What started appearing more often
Per-post prevalence in 500 earlier versus 500 later posts · 767 bodies available. Minimum support removes one-off spikes.
01chatgptterm
Peak 23.8 · latest 23.8
+5.0pp · 20.0% → 25.0%02faceterm
Peak 3.6 · latest 3.6
+2.6pp · 2.2% → 4.8%03agentterm
Peak 6.3 · latest 6.3
+2.4pp · 4.2% → 6.6%04agentsterm
Peak 7.2 · latest 7.2
+2.4pp · 4.0% → 6.4%05caseterm
Peak 5.4 · latest 5.4
+2.4pp · 2.4% → 4.8%06internetterm
Peak 4.0 · latest 4.0
+2.4pp · 1.2% → 3.6%07safetyterm
Peak 4.9 · latest 4.9
+2.4pp · 1.2% → 3.6%08askterm
Peak 4.1 · latest 4.0
+2.2pp · 3.0% → 5.2%09acrossterm
Peak 5.8 · latest 5.8
+2.2pp · 2.0% → 4.2%10freeterm
Peak 5.4 · latest 5.4
+2.0pp · 3.4% → 5.4%11hugging facephrase
Peak 3.1 · latest 2.2
+1.8pp · 2.0% → 3.8%12openai anthropicphrase
Peak 2.7 · latest 2.7
+1.6pp · 0.8% → 2.4%Show more emerging patterns
13openai roguephrase
Peak 1.0 · latest 0.0
+1.2pp · 0.2% → 1.4%14chatgpt plusphrase
Peak 2.2 · latest 2.2
+1.0pp · 1.0% → 2.0%15even thoughphrase
Peak 1.2 · latest 0.9
+1.0pp · 0.6% → 1.6%16post-hook barsphrase
Peak 0.9 · latest 0.9
+1.0pp · 0.2% → 1.2%17sam altmanphrase
Peak 1.4 · latest 0.9
+1.0pp · 0.8% → 1.8%18chat modephrase
Peak 1.3 · latest 1.3
+0.8pp · 0.2% → 1.0%Topic performance
What gets seen and upvoted
Supported topics only. Monthly share, post volume, median Reddit score, and average upvote ratio keep frequency separate from platform attention; none measures accuracy or quality.
TopicMonthly sharePostsMedian scoreApproval
News & releases
Peak 30.4 · latest 25.6
293567.6%Prompting & UX
Peak 20.6 · latest 20.6
204158.7%Agents & tools
Peak 17.5 · latest 17.5
132053.9%Model comparison
Peak 10.9 · latest 5.4
97263.1%Coding & dev tools
Peak 7.5 · latest 5.8
71261.2%Safety & alignment
Peak 9.0 · latest 9.0
60156.2%RAG & retrieval
Peak 3.1 · latest 3.1
31052.0%Community & meta
Peak 3.1 · latest 3.1
29058.5%Fine-tuning & training
Peak 3.6 · latest 3.6
26263.4%Local LLM setup
Peak 2.2 · latest 2.2
22162.8%Hardware & GPU
Peak 2.2 · latest 2.2
20053.5%Quantization
Peak 1.8 · latest 1.8
15159.9%Language-marker spectrum
Which language markers became more visible
Boundary-aware phrase-marker rates across 1,000 titles and 767 available post bodies. Categories may overlap and describe language patterns—not author emotion.
CuriosityFrustrationUncertaintyExcitementUrgencyAppreciation
View marker dictionary
curiosity: why, how, what, explain, understand, learn, curious, wonder, anyone know, thoughts on
frustration: broken, fails, failed, error, issue, problem, stuck, doesn't work, not working, frustrated, worse, unusable, bug
uncertainty: maybe, might, could, unsure, not sure, uncertain, possibly, seems, apparently, i think
excitement: amazing, awesome, excited, love, can't wait, incredible, finally, great, impressive, game changer, wow
urgency: urgent, asap, right now, immediately, today, deadline, breaking, just released, now available
appreciation: thanks, thank you, appreciate, helpful, grateful, shoutout, well done, great work, kudos
| Month | Curiosity | Frustration | Uncertainty | Excitement | Urgency | Appreciation |
|---|---|---|---|---|---|---|
| 2026-07 | 44.4% | 15.3% | 19.8% | 9.9% | 8.2% | 4.1% |
| 2026-08 | 41.3% | 17.9% | 17.0% | 6.3% | 9.4% | 6.3% |
Flair labels
Which formats carry the conversation—and when
Flair is the available proxy for content format. Monthly share shows when each label became more or less common; volume and platform response remain separate.
#FormatMonthly shareVolumePostsPlatform response
01Discussion
Peak 31.4 · latest 25.6
301 posts73 avg score · 60.4% approval02Question
Peak 27.4 · latest 24.7
268 posts12 avg score · 61.6% approval03News
Peak 15.2 · latest 15.2
130 posts173 avg score · 72.9% approval04Article
Peak 9.0 · latest 9.0
69 posts54 avg score · 63.3% approval05Image
Peak 8.1 · latest 8.1
57 posts199 avg score · 55.1% approval06Miscellaneous
Peak 5.4 · latest 4.9
53 posts93 avg score · 59.8% approval07Project
Peak 4.9 · latest 4.0
47 posts10 avg score · 54.7% approval08Video
Peak 3.2 · latest 3.1
32 posts165 avg score · 49.2% approval09Research
Peak 3.6 · latest 3.6
21 posts11 avg score · 54.2% approval10GPTs
Peak 1.3 · latest 1.3
11 posts12 avg score · 40.2% approval11Tutorial
Peak 1.3 · latest 0.4
11 posts1 avg score · 39.8% approvalCandidate response distribution
Where recent platform attention accumulated
Posts in the inferred recent candidate pool are binned by Reddit score and upvote ratio. Brighter cells contain more selected posts; score uses a logarithmic scale.
1,000 recent candidates represented · relative platform response, not quality or subreddit-wide reach.
| Score band | Upvote-ratio band | Posts |
|---|---|---|
| 0–0 | 0–10% | 7 |
| 0–0 | 10–20% | 52 |
| 0–0 | 20–30% | 85 |
| 0–0 | 30–40% | 120 |
| 0–0 | 40–50% | 91 |
| 0–0 | 50–60% | 58 |
| 1–1 | 50–60% | 23 |
| 1–2 | 50–60% | 7 |
| 2–3 | 50–60% | 3 |
| 3–5 | 50–60% | 1 |
| 5–7 | 50–60% | 4 |
| 10–14 | 50–60% | 1 |
| 14–19 | 50–60% | 1 |
| 19–26 | 50–60% | 2 |
| 87–117 | 50–60% | 1 |
| 1–1 | 60–70% | 51 |
| 1–2 | 60–70% | 17 |
| 2–3 | 60–70% | 13 |
| 3–5 | 60–70% | 8 |
| 5–7 | 60–70% | 16 |
| 7–10 | 60–70% | 3 |
| 10–14 | 60–70% | 3 |
| 19–26 | 60–70% | 3 |
| 26–35 | 60–70% | 2 |
| 35–47 | 60–70% | 1 |
| 47–64 | 60–70% | 1 |
| 64–87 | 60–70% | 1 |
| 87–117 | 60–70% | 3 |
| 1–2 | 70–80% | 11 |
| 2–3 | 70–80% | 8 |
| 3–5 | 70–80% | 13 |
| 5–7 | 70–80% | 11 |
| 7–10 | 70–80% | 4 |
| 10–14 | 70–80% | 9 |
| 14–19 | 70–80% | 5 |
| 19–26 | 70–80% | 8 |
| 26–35 | 70–80% | 9 |
| 35–47 | 70–80% | 7 |
| 47–64 | 70–80% | 5 |
| 64–87 | 70–80% | 2 |
| 87–117 | 70–80% | 1 |
| 158–214 | 70–80% | 2 |
| 214–288 | 70–80% | 1 |
| 2–3 | 80–90% | 6 |
| 3–5 | 80–90% | 4 |
| 5–7 | 80–90% | 12 |
| 7–10 | 80–90% | 9 |
| 10–14 | 80–90% | 9 |
| 14–19 | 80–90% | 14 |
| 19–26 | 80–90% | 10 |
| 26–35 | 80–90% | 8 |
| 35–47 | 80–90% | 11 |
| 47–64 | 80–90% | 9 |
| 64–87 | 80–90% | 11 |
| 87–117 | 80–90% | 8 |
| 117–158 | 80–90% | 7 |
| 158–214 | 80–90% | 6 |
| 214–288 | 80–90% | 4 |
| 288–389 | 80–90% | 5 |
| 389–524 | 80–90% | 2 |
| 524–707 | 80–90% | 1 |
| 707–953 | 80–90% | 2 |
| 953–1,284 | 80–90% | 2 |
| 1,284–1,731 | 80–90% | 1 |
| 1–1 | 90–100% | 27 |
| 1–2 | 90–100% | 16 |
| 2–3 | 90–100% | 6 |
| 3–5 | 90–100% | 1 |
| 5–7 | 90–100% | 7 |
| 7–10 | 90–100% | 2 |
| 10–14 | 90–100% | 3 |
| 14–19 | 90–100% | 4 |
| 19–26 | 90–100% | 1 |
| 26–35 | 90–100% | 3 |
| 35–47 | 90–100% | 5 |
| 47–64 | 90–100% | 11 |
| 64–87 | 90–100% | 6 |
| 87–117 | 90–100% | 11 |
| 117–158 | 90–100% | 8 |
| 158–214 | 90–100% | 10 |
| 214–288 | 90–100% | 6 |
| 288–389 | 90–100% | 12 |
| 389–524 | 90–100% | 12 |
| 524–707 | 90–100% | 7 |
| 707–953 | 90–100% | 12 |
| 953–1,284 | 90–100% | 9 |
| 1,284–1,731 | 90–100% | 1 |
| 1,731–2,333 | 90–100% | 2 |
| 2,333–3,144 | 90–100% | 1 |
| 3,144–4,237 | 90–100% | 2 |
Sources
Inspect ranked evidence.
Open the posts behind the interpretation. The score distribution is a diagnostic of this selected source set—not a model of the subreddit as a whole.
Inspect collected-score distribution
How attention is distributed
Collected posts grouped into Reddit score bands.
Highest-attention source posts
20 availableSampling and methodology
Collected records: 1,716
Represented range: 2022-12-04 → 2026-08-08
The corpus combines a broad newest-post listing with bounded top/year and top/all listings. The interface infers the recent boundary from the newest 1,000 records because original retrieval provenance was not stored.
Older records are analyzed as a ranked historical canon. They can show what was prominent and repeatedly surfaced within ranked retrieval; they cannot estimate total monthly activity, publishing habits, or whole-conversation prevalence.
Recent contender ranking compares posts within age bands using score and reply-count percentiles. Platform attention is not evidence quality, accuracy, representativeness, or future performance.