Why is there no prediction market on codex resets?
Activity
Tokens tagged by the author per day over the selected time range. The most mentioned tokens have their own color, the rest add up in Other. A post that tags two tokens counts for both.
MENTIONS
ACTIVITY
TOTAL
Token Mentions
Tokens the author tagged in posts over the selected time range, most mentioned first: posts per token, the share of its classified posts that was bullish and the average engagement score of those posts, with price changes, market cap and volume as in the screener, plus price and sector on wide screens.
Latest Posts
The author's newest posts in the selected time range.
@0xdoug
A while ago, I realized that I needed to actually learn AI fundamentals, not just buzzwords. I'm also the type who learns more from building a prototype than reading 1000 papers
This is a self-study course with that in mind. Build and train a worki...
9/20/2026 06:06
11K
7
3
104
125
@0xdoug
1/ This was really cool.
For the first time, an LLM ran entirely on the blockchain. Weights, activations, attention, tokens all loaded and calculated onchain in a general purpose ledger. Every step in the process was a standard SVM transaction. htt...
9/17/2026 05:13
103K
25
30
391
219
@0xdoug
Agentic coding in 2026 https://t.co/6jj4MSDZ6B
9/14/2026 23:51
1M
215
934
7.4K
3.2K
@0xdoug
So they’re going to outlaw open models? Too bad this thing called BitTorrent exists https://t.co/Eh0oE901Q0
9/13/2026 14:47
6.4K
15
11
161
8
@0xdoug
I’m skeptical of RSI for the same reason as Baumols cost disease.
If AI research is X, Y and Z; and the LLMs are superhuman at X and Y, it doesn’t really matter. Z just becomes the new bottleneck.
For RSI to foom, the AI pretty much needs to repl...
9/12/2026 23:52
20K
32
8
141
31
Founder @slx_fi Founding contributor @fogo Ex: Quant
| Handle: | @0xdoug |
| Website: | waitlist.slx.fi/?ref=superluminal |
| Joined: | August 2021 |
Author Data
The author's audience and activity. Followers change over the selected time range. Posts and Avg Engagement (the average engagement score per post, as in the feed's Engagement Score sort) cover the selected time range. Engagement Rank ranks the authors who posted in the range by average engagement score. All of the author's posts count: the filter chips do not apply here.
Followers 52K +1.12% (30D)
Following 2.7K
Posts (30D) 7
Avg Engagement (30D) 38
Engagement Rank #5 of 1125
Sentiment
Share of the author's classified posts that were bullish, neutral and bearish over the selected time range. Posts without a sentiment classification are not counted. All of the author's posts count: the filter chips do not apply here.
Top Post
The author's post with the highest engagement score in the selected time range.
@0xdoug
Agentic coding in 2026 https://t.co/6jj4MSDZ6B
9/14/2026 23:51
1M
215
934
7.4K
3.2K