Top-content observatory · Ranked archive + recent pool

What rises in r/OpenAI.

716 ranked historical records · 1,000 inferred recent candidatesStudy what became prominent, what persists, and what is currently breaking through. This archive is not a census of all subreddit activity.

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.

Canon anchor1

News & releases

226 ranked historical posts · 31.6% of represented canon

Current shift2

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

2022Fine-tuning & training1 ranked records represented

2023Prompting & UX24 ranked records represented

2024News & releases78 ranked records represented

2025News & releases409 ranked records represented

2026News & releases204 ranked records represented

Recent contenders

What is earning attention now.

The newest-post pool is filtered within age bands, then ranked by score and reply-count percentiles. Posts newer than 7 days are withheld when enough mature candidates exist.

AI raceAgents & tools · 14–29 days old · 3,174 score · 512 replies

100index02

Kimi-K3 arrived: The era of the Chinese labs being far behind is overAgents & tools · 14–29 days old · 2,403 score · 530 replies

100index03

Bye Claude..it was nice while it lasted, until it wasn’t.Coding & dev tools · 14–29 days old · 1,300 score · 408 replies

99index04

Return of the bicameral mind.Community & meta · 7–13 days old · 912 score · 127 replies

99index05

Anthropic is literally copying OpenAI’s marketing team at this pointNews & releases · 7–13 days old · 800 score · 156 replies

99index06

Think this could happen to OpenAI ?News & releases · 14–29 days old · 1,246 score · 296 replies

99index07

Apple vs OpenAINews & releases · 14–29 days old · 4,237 score · 130 replies

99index08

Hugging Face CEO suspected the sophisticated cyberattack on their infrastructure might have come from a frontier labNews & releases · 14–29 days old · 1,094 score · 256 replies

99index09

OpenAi says it has reached a new threshold in AI, new model capable of breakthrough researchNews & releases · 7–13 days old · 372 score · 253 replies

99index10

Ngl Chatgpt explains concepts better than half my professorsPrompting & UX · 7–13 days old · 430 score · 121 replies

98index11

OpenAI’s internal model “Astra” claims 10 major advances in mathematics and theoretical computer scienceNews & releases · 7–13 days old · 693 score · 92 replies

98index12

Elon's Tweet about OpenAI's ModelNews & releases · 14–29 days old · 1,002 score · 304 replies

98index

Candidate index is relative to this recent pool, not a prediction of future quality or final Reddit rank.

Now 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.

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%

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

Post-language marker rates by month
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%

Candidate 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.

Non-empty recent candidate score and approval density bins
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.

0413

1-9283

10-49121

50-9960

100-49983

500-999216

1k-2k293

2k-5k195

5k+52

Highest-attention source posts

20 available

01We doing this as well?28,972 score · 2025-01-22↗02The end of GPT24,824 score · 2026-02-28↗03Funny glitch with Sora. Interesting how it looks so real yet obviously fake at the same time.16,521 score · 2024-02-15↗04Offer declined15,741 score · 2025-02-10↗05…14,733 score · 2025-07-29↗06OpenAI profit12,937 score · 2025-12-09↗07r/ChatGPT right now12,613 score · 2025-08-10↗08Apparently they fixed it12,573 score · 2025-04-30↗09Sensational12,060 score · 2025-09-08↗10Grok has Called Elon Musk a "Hypocrite" in latest Billionaire Fight 🍿11,794 score · 2025-08-12↗11everybody calm down. i got this.11,292 score · 2026-05-07↗12Enjoy ChatGPT while it lasts…. the ads are coming9,444 score · 2025-09-11↗

Sampling 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.

What rises in r/OpenAI.

News & releases

Agents & tools

The visible canon by year

What is earning attention now.

What persists, breaks through, or saturates.

Read the recent pool without contaminating the canon.

What the community keeps saying

What started appearing more often

What gets seen and upvoted

Which language markers became more visible

Which formats carry the conversation—and when

Where recent platform attention accumulated

Inspect ranked evidence.

How attention is distributed

Highest-attention source posts