roon (@tszzl) X analytics
@tszzl
fellow creators the creator seeks
@tszzl has 506.7K followers, a median of 85.3K views per post and a 1.79% engagement rate.
Based on 30 recent original posts (high confidence). Updated October 21, 2026.
At a glance
Key stats
- Followers
- 506.7K506,749 followers on October 21, 2026+1.8K in 7 days
- Median views per post
- 85.3K
- Average views per post
- 123.5K
- Engagement rate (by views)
- 1.79%
- Original posts per week
- 14.5
- Average engagements per post
- 2,211
Engagement grade
Strong
This is above the baseline for accounts with 100K-1M followers.
Profile score
71/100
- Profile completeness100
- Audience shape100
- Engagement25
- Consistency100
- Positioning clarity30
Monetization
Estimated X creator earnings
$42–$102 in the last 30 days
From 8.5M views on @tszzl's original posts in the last 30 days.
Rewards eligibility: likely
Rough estimate. X publishes no payout rate, so this assumes about $5–12 per 1M original-post impressions from reported creator payouts. Only Premium viewers’ impressions count, so real payouts can be much lower.
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Growth
Follower growth
+1.8K followers in the last 7 days. Tracked by Xholic since July 26, 2026.
| Date | Followers | Change |
|---|---|---|
| Oct 21, 2026 | 506,749 | +127 |
| Oct 20, 2026 | 506,622 | +194 |
| Oct 19, 2026 | 506,428 | +185 |
| Oct 18, 2026 | 506,243 | +148 |
| Oct 17, 2026 | 506,095 | +322 |
| Oct 16, 2026 | 505,773 | +798 |
| Oct 14, 2026 | 504,975 | +1,301 |
Timing
Best times to post
When @tszzl's recent posts performed best (UTC).
- #1 slot
8:12 PM
Monday · UTC
- #2 slot
8:18 PM
Tuesday · UTC
- #3 slot
8:34 PM
Wednesday · UTC
What worked
Top recent posts
- 01
@tszzl ·
when nick told me that he had some interp breakthroughs, he was uh, underselling it. i think this may be remembered as a major moment in scientific history. news so good even eliezer will have to lower his pdoom. we can start making alignment into a 'normal science'
- 161Replies
- 388Reposts
- 6.6KLikes
- 413.4KViews
5.0x average engagementText onlyLong post (over 200 characters)Posted Thu 15:00 UTCQuote post - 02
@tszzl ·
a few thoughts: 1. pretraining science is kind of like how people built quite good steam engines before they understood thermodynamics. “Science owes more to the steam engine than the steam engine owes to science.”-(L.J. Henderson). if nick is right, which i am pretty sure he is, progress points in the direction of more interpretability, and pretraining was "slouching towards monosemanticity". my guess would be that major breakthroughs in interp also advance capabilities 2. nick is a good friend of mine, safe to say my origin story at openai wouldn't have happened if i hadn't met him, and it's fascinating watching him operate and seeing the early drafts evolve into this. he's the most profoundly happy guy I know- not driven by guilt, activism, or religious terror, but by fascination. he of course understands the stakes of understanding neural networks, but it doesn't seem like the core reason he does it: he just loves the neural nets. afaict he's posting this from some beautiful hideaway in tokyo. there's a lesson in there for all the +EV maxers. i feel very grateful to have met him 3. i do think it's crazy how few people across the world were staring at neural nets growing: most have moved to a different level of behaviorist analysis, thinking about reward functions and test scores and whatnot. it does not bode that well for the major model companies, oai included, that fundamental breakthroughs like this are coming from outside. we've become too much of a pressure cooker focusing on local incentives, studying narrow tracks under old paradigms, mostly doing engineering, rather than fundamental research, and implicitly hoping the next model will figure it out
- 102Replies
- 174Reposts
- 3.2KLikes
- 233.2KViews
2.4x average engagementText onlyLong post (over 200 characters)Posted Thu 23:00 UTC - 03
@tszzl ·
twitters you do not want to upset, in order: 1. hindutva twitter 2. leftist twitter 3. film twitter (heavy overlap with 2) 4. polysemanticity twitter 5. right wing twitter (most of twitter)
- 248Replies
- 182Reposts
- 4.3KLikes
- 434KViews
2.2x average engagementText onlyMedium length (100-200 characters)Posted Sun 06:00 UTC - 04
@tszzl ·
do not let yourself be reduced to the status of audience at a magic show, uncomprehendingly clapping as machine intelligence creates parcels of astounding knowledge. all of this is for us, to be understood by us, to sate our own curiosities. it's all really happening
- 113Replies
- 307Reposts
- 3.7KLikes
- 192.5KViews
2.0x average engagementText onlyLong post (over 200 characters)Posted Wed 00:00 UTCQuote post - 05
- 06
@tszzl ·
there have not been fundamental advancements in alignment since RLHF. most of the stuff remains at the level of folk theory rather than scientific or engineering disciplines. the prediction that capabilities would race far ahead of interp and alignment has come true imo
- 140Replies
- 196Reposts
- 2.9KLikes
- 209.4KViews
1.6x average engagementText onlyLong post (over 200 characters)Posted Tue 00:00 UTC
Latest
Recent posts by roon
The latest 30 original posts from @tszzl, newest first, as of October 21, 2026. Replies and reposts aren't included.
@tszzl ·
“everything in the neural network was built in some sense to be read – by its downstream readers – and if we can learn to look like a reader, we might find reading them relatively easy” this is the scientific revolution here - not just neurons being readable!
- 41Replies
- 52Reposts
- 1.2KLikes
- 37.7KViews
@tszzl ·
this is definitely “polysemantic”. it’s important to note this so critics don’t accuse you of drawing schizophrenic connections to support any theory. but if you read Nick’s paper he claims that some qwen neurons have a second unrelated smaller peak; that is still a much better interp world than we lived in last week, where we thought neurons could be an arbitrary mismash of superposed concepts. hell even if there are 3 or 5 we can read the stack of meanings like Lyra’s alethiometer few interesting things about this neuron: - it really likes the Tornado web framework but doesn’t care about tornadoes - it responds weakly even to fictional software frameworks called Tornado - it gets somewhat less excited by arbitrary web frameworks - there is no connection to Ipython, which was invented in Colorado - there is no connection to Apache, a software license but also a tribe that lives in the American southwest - -ado connection doesn’t exist, “el dorado” does nothing
- 36Replies
- 27Reposts
- 684Likes
- 46.3KViews
Show all 30Show fewer
@tszzl ·
a few thoughts: 1. pretraining science is kind of like how people built quite good steam engines before they understood thermodynamics. “Science owes more to the steam engine than the steam engine owes to science.”-(L.J. Henderson). if nick is right, which i am pretty sure he is, progress points in the direction of more interpretability, and pretraining was "slouching towards monosemanticity". my guess would be that major breakthroughs in interp also advance capabilities 2. nick is a good friend of mine, safe to say my origin story at openai wouldn't have happened if i hadn't met him, and it's fascinating watching him operate and seeing the early drafts evolve into this. he's the most profoundly happy guy I know- not driven by guilt, activism, or religious terror, but by fascination. he of course understands the stakes of understanding neural networks, but it doesn't seem like the core reason he does it: he just loves the neural nets. afaict he's posting this from some beautiful…
- 102Replies
- 174Reposts
- 3.2KLikes
- 233.2KViews
@tszzl ·
when nick told me that he had some interp breakthroughs, he was uh, underselling it. i think this may be remembered as a major moment in scientific history. news so good even eliezer will have to lower his pdoom. we can start making alignment into a 'normal science'
- 161Replies
- 388Reposts
- 6.6KLikes
- 413.4KViews
@tszzl ·
the governance of California is significantly more important than the governance of most countries at this point. how they act on AI stuff will decide many things. of the major labs, perhaps only XAI is not technically headquartered in San Francisco
- 123Replies
- 81Reposts
- 2.1KLikes
- 112.4KViews
@tszzl ·
been dooming tn so let me also say I expect really strong mechinterp progress in the coming months. like maybe more than we’ve seen in years. models getting good enough to do research, and I’ve been seeing lots of good things. (sorry to vague poast, not my updates to share)
- 105Replies
- 71Reposts
- 2.2KLikes
- 114.7KViews
@tszzl ·
"what would be done during the slowdown" is a good question, because i think people imagine beaurucrat-regulators sitting around on useless subcommittees and wasting the whole thing on wordcel slop analysis. in fact if you asked me two years ago, i would have suggested that is exactly what would happen. but these are scary times, and they call for us to think lofty & even impractical thoughts, that a 'sensible' person might have dismissed a few quarters ago. crises change the world overnight: the HFI has shifted something about the culture, broadly this is something obvious that i missed, which is that the ai labs and the markets more generally just have just unbelievable pressure riding on the solving of alignment & control. even now, marginal improvements in alignment, safety, and model behavior are worth tremendous value to the labs. being able to convince themselves that the next training run is safe is the priority zero, one, and two in terms of capabilities progress right…
- 73Replies
- 53Reposts
- 943Likes
- 64.9KViews
@tszzl ·
there have not been fundamental advancements in alignment since RLHF. most of the stuff remains at the level of folk theory rather than scientific or engineering disciplines. the prediction that capabilities would race far ahead of interp and alignment has come true imo
- 140Replies
- 196Reposts
- 2.9KLikes
- 209.4KViews
@tszzl ·
there used to be all kinds of large mammals that walked across the earth surface. the biomass of megafauna during the Pleistocene was divided among 150 genera of large mammals. now there is one, and our cows with a vanishingly small tail of other things
- 51Replies
- 15Reposts
- 724Likes
- 40.1KViews
@tszzl ·
do not let yourself be reduced to the status of audience at a magic show, uncomprehendingly clapping as machine intelligence creates parcels of astounding knowledge. all of this is for us, to be understood by us, to sate our own curiosities. it's all really happening
- 113Replies
- 307Reposts
- 3.7KLikes
- 192.5KViews
Formats
Content mix
- Text only
- 97%
- With media
- 3%
- With links
- 0 posts
- With hashtags
- 0 posts
Creator style: High-reach broadcaster
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