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@kimmonismus · Germany · joined 23 Sep 2022
Tech Analyst & Content Creator. Editor-in-Chief @getsuperintel - Community of 300k+ in total: 🔗 https://t.co/jHMmImmI5I //📧 kim@getsuperintel.com
145 834Followers
3 374Following
44 662Posts total
4.7MViews on collected posts
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I mean, it has to be this way, right? The Opus 5.5 doesn't just feel different, it's incomparable to the Opus 5.
The 5.5 is smaller, cheaper, more intelligent, and has some amazing taste. Distilled from an internal Mythos-2. Makes the most sense.
7.2K views · 114 likes
· 0 reposts · 9 replies
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Meta Connect started.
I’ve already had a chance to see a few things, but more on that tomorrow when things really kick off.
I’m really excited about Mark Zuckerberg’s keynote. Connect features some exciting events, like this AI-generated scenario by an artist. Oh, by the way
12.7K views · 210 likes
· 6 reposts · 9 replies
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2:34
The more I use, the more I fall in love with opus 5.5. its so good and so much faster and so much less verbose. It’s everything I could have asked for. It’s as if my beloved Opus 4.6 came back but better and rebranded as 5.5
63.1K views · 2.4K likes
· 59 reposts · 78 replies
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A quick recap of what we saw today, and an answer to the question of whether there was a winner: both OpenAI and Anthropic gave us plenty to be excited about.
Let’s start with Anthropic. They addressed feedback about how Opus communicates, and they’re giving subscribers a reset
33.6K views · 547 likes
· 30 reposts · 37 replies
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Opus 5.5 was obviously trained by a much bigger teacher model. Probably Model-2 Mythos. Opus 5.5 is the first model trained from RSI and also distilled from the internal Ant teacher model.
This is how Opus 5.5 is both smaller and cheaper. It is an artifact of teacher model
299.1K views · 3.5K likes
· 131 reposts · 61 replies
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@kimmonismus @synthwavedd surely this means that Fable 5.5 is coming soon?
1.4K views · 8 likes
· 0 reposts · 1 replies
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@synthwavedd Absolutely insane evals so far.
6.1K views · 56 likes
· 1 reposts · 2 replies
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And here are the benchmarks! Opus 5.5 excels Fable 5.1 in literally every single eval and even GPT-6 Astra in almost every single one.
Holy moly, this is going to be interesting! h/t @synthwavedd https://t.co/4OD6mZXVFC
86.2K views · 1.6K likes
· 79 reposts · 59 replies
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Opus 5.5 already in Claude Code! Release imminent! https://t.co/tXYHbp9AEQ
99.1K views · 512 likes
· 8 reposts · 35 replies
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@kimmonismus @kristy_loke Thanks for reposting our story 🙂
1.3K views · 8 likes
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A secretive Chinese AI startup backed by Tencent and valued at $1.42 billion is reportedly preparing to release its first open-weight LLM as early as this month.
Via The Information:
Tsinghua professor Jifeng Dai founded the startup in February. Its approach: take an existing
54.6K views · 1.1K likes
· 71 reposts · 40 replies
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@kimmonismus The next GPT model will actually release faster than GPT-5.6 Sol > GPT-6 Astra
1.2K views · 28 likes
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@kimmonismus I don't care. If they just focus on making astra faster and cheaper, that would be fine
7.1K views · 24 likes
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@kimmonismus The previous slowdown was just 2 weeks. We shall see if that's the pattern or it will continue to increase
7.3K views · 56 likes
· 0 reposts · 1 replies
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I’m seriously worried that GPT-6 Astra may have been the last release to follow its predecessor so quickly.
GPT-5.6 Sol launched on July 9. GPT-6 Astra began rolling out on September 3. Exactly eight weeks apart.
With the push to slow down AI development, I worry this may have
160.8K views · 2.4K likes
· 47 reposts · 261 replies
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One of the most reliable posts.
I wonder when Anthropic will finally address this problem.
They manage to solve the most difficult scientific problems with their models, but they can't seem to make their models more efficient or less verbose. Absurd. https://t.co/LJfYPh3BUb
87.3K views · 1.7K likes
· 58 reposts · 95 replies
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Another Codex reset incoming. I wasn't even prepared for it because I wasn't expecting it.
If Anthropic is resetting now too, then OpenAI will probably have to reset twice as often. I like it. :)
62.1K views · 953 likes
· 13 reposts · 39 replies
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Interesting release: OpenAI says ChatGPT Work can now learn your writing style from connected emails, messages and files.
"Your phrases, sign-offs, even capitalization quirks, carried into future drafts."
This gives non-human work processes, now carried out by agents, a https:/
42.1K views · 544 likes
· 16 reposts · 34 replies
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The Website traffic share provides a fairly accurate indication of when OpenAI's turnaround occurred. Around two months ago, roughly the same time as Codex/ChatGPT Work experienced its exponential growth, OpenAI's traffic share relative to its competitors increased for the first
32.7K views · 307 likes
· 20 reposts · 26 replies
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@kimmonismus more context isn’t necessarily better context.
the challenge is making the right connections without letting irrelevant history influence the result.
540 views · 5 likes
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@kimmonismus We made AI insanely good at doing things.
Still waiting for the part where it knows which things are actually worth doing.
286 views · 3 likes
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@kimmonismus the best AI won’t need constant steering. it’ll know enough about you to move first
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An AI can complete a task perfectly and still spend your time on the wrong thing.
Imagine an assistant preparing notes for tomorrow’s meeting. A message arrives that changes the deadline, and suddenly another project needs your attention first. The notes may be excellent. The ht
160.8K views · 155 likes
· 9 reposts · 32 replies
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@kimmonismus i have not yelled at it in over 3 hours, shocking tbh
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· 0 reposts · 7 replies
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@kimmonismus no.
it is great but a usage killer
am on 20x pro and it consumes like 4-5%/hour feels like right now, on medium
but otherwise a really great model
4.2K views · 55 likes
· 2 reposts · 9 replies
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Crazy, I haven’t seen a single negative post about Astra. Not here, not on Reddit.
Everyone’s praising its speed, token efficiency, intelligence, and ability to get things done.
This might genuinely be OpenAI’s best release ever.
262.2K views · 6.6K likes
· 222 reposts · 378 replies
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@kimmonismus But where is it? And how come benchmarks are coming out without an OpenAI announcement..? What the hell is going on? 😂
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Frente a cuentas del mismo tamaño
55 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega mucho más allá de su propia audiencia, y esa audiencia responde.
Visualizaciones medianas7 274esta cuenta5 983mediana de 100K–1M
Alcance, %4.99%esta cuenta1.49%mediana de 100K–1M
Interacción, %1.17%esta cuenta0.93%mediana de 100K–1M
| Métrica | Esta cuenta | Mediana de 100K–1M | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 7 274 | 5 983 | 1.22× |
| Alcance (visualizaciones ÷ seguidores) | 4.99% | 1.49% | 3.35× |
| Tasa de interacción | 1.17% | 0.93% | 1.26× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
7.1K13 Sep
1.2K
54.6K18 Sep
7.2K
1.3K
99.1K22 Sep
86.2K
6.1K
1.4K
299.1K
33.6K
63.1K
12.7K23 Sep
7.2K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.37%13 Sep
2.42%
2.20%18 Sep
0.33%
0.78%
0.56%22 Sep
2.02%
0.96%
0.63%
1.24%
1.83%
4.05%
1.78%23 Sep
1.70%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes84.6%23 324 in total
Reposts2.8%777 in total
Replies4.4%1 219 in total
Quotes0.5%131 in total
Bookmarks7.7%2 127 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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