NeoCognition ✓
@NeoCognition
Agent lab for specialized intelligence
2 270Followers
7Following
43Posts total
255.9KViews on collected posts
Latest posts
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AI has crossed an important threshold in job readiness. We believe AI agents will soon be able to serve as an independent workforce across industries, likely within the next one or two years.
We see this as a generational opportunity to make human work more valuable and human
3.4K views · 62 likes
· 4 reposts · 2 replies
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Agents and humans show distinct learning behaviors.
> people go faster with practice; agents get slower with increasing size of memory notes
> people need far less notes. they are better at compression the learning and memorize most things in their head
> people communicate ht
3.6K views · 34 likes
· 1 reposts · 2 replies
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Quantitative analysis on different models' continual learning behavior.
Fable 5.1 and Astra truly shines in learning complex situations that require sifting through the historical data or compositional challenge cases. https://t.co/YSD7fBrcOW
5K views · 30 likes
· 0 reposts · 1 replies
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GUI vs. API, what's the future for computer-use agents (CUAs)?
For the first time, we show quantitative evidence for the rapid progression of Claude and GPT models on CUA/GUI capabilities. Fable 5.1 and GPT-6 Astra can use GUIs just as well as APIs. No more CUA tax.
Other https
5.4K views · 46 likes
· 1 reposts · 1 replies
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The agent goes through a 7-month apprenticeship to learn how this specific AP department works:
> handle erros in incoming invoices
> vendor communication
> approval workflows and policy changes
> assign cost codes to billed items
> and much more https://t.co/6KAmalYn4m
6.4K views · 51 likes
· 2 reposts · 1 replies
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GIF
ApprenticeBench, just like a real job, is a comprehensive test: computer use, continual learning with memory notes, long-horizon... if a model has any weaknesses in any aspect, it shows.
> strong differentiation across models
> frontier models are already more accurate than http
31.3K views · 103 likes
· 11 reposts · 3 replies
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Watch Fable 5.1 agent onboards itself in the accounts payable department at a simulated California-based construction company.
Learn the ERP system, conventions from company history, and lifelong learning from feedback.
A glimpse into what the future of work may look like. http
19.5K views · 104 likes
· 9 reposts · 1 replies
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51:54
Introducing ApprenticeBench: computer use + continual learning on a real job.
We show Fable 5.1 and GPT-6 Astra can now continually learn on a job and surpass human professionals. A decisive step change in AI's job readiness.
No FDEs. Agents deploy themselves into the job. 🧵 ht
181K views · 1.2K likes
· 165 reposts · 33 replies
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Against accounts of the same size
9 posts from the last 90 days, next to the under 10K follower range. shown widely, but few of those viewers react.
Median views5 418this account2 870median for under 10K
Reach, %238.68%this account190.11%median for under 10K
Engagement, %0.76%this account1.44%median for under 10K
| Metric | This account | Median for under 10K | Ratio |
|---|---|---|---|
| Median views per post | 5 418 | 2 870 | 1.89× |
| Reach (views ÷ followers) | 2.4× audience | 190.11% | 1.26× |
| Engagement rate | 0.76% | 1.44% | 0.52× |
Others in this range → Compare with another account → How these benchmarks are built →
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
181K10 Sep
19.5K
31.3K
6.4K
5.4K
5K
3.6K
3.4K
19611 Sep
Last 9 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.76%10 Sep
0.58%
0.37%
0.84%
0.89%
0.62%
1.03%
2.01%
0.51%11 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.44%.
What the audience does
Likes56.1%1 603 in total
Reposts6.8%193 in total
Replies1.5%44 in total
Bookmarks35.6%1 016 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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