Paolo Tasca ✓

@PaoloTasca · joined 26 Dec 2014

Decoding the future of exponential innovation Economist, professor & builder. CEO @nodiens | Chairman @Exponential_Sci | Co-founded @quantnetwork | ex-@UCL

10 475Followers

209Following

2 286Posts total

1.8KViews on collected posts

Postingan terbaru

Paolo Tasca ✓@PaoloTasca8 Sep

@OpenAI wiki-accident #AI may have reached its aviation-safety moment. -> The individual incident matters. -> The institutional response matters more. 🛑Aviation became safer not because aircraft stopped failing, but because accidents became inputs into a shared learning 285 views · 2 likes · 1 reposts · 0 replies Open on X →

Paolo Tasca ✓@PaoloTasca6 Sep

Countries may increasingly measure technological sovereignty not only through patents, models or startups, but through domestically available FLOPs per unit of energy.. #artificialintelligence 349 views · 4 likes · 1 reposts · 1 replies Open on X →

Paolo Tasca ✓@PaoloTasca27 Aug

@PaoloTasca Exactly. AI is starting to look a lot more like infrastructure than software. That 25% number makes it hard to ignore. 20 views · 0 likes · 0 reposts · 0 replies Open on X →

Paolo Tasca ✓@PaoloTasca27 Aug

@bankofengland An important institutional shift. Central banks were traditionally asked to preserve financial architecture. Increasingly they are also being asked to enable its evolution. Managing the tension between innovation and systemic stability may become a core 392 views · 7 likes · 1 reposts · 1 replies Open on X →

Paolo Tasca ✓@PaoloTasca27 Aug

“Compute is revenue” is an interesting formulation. AI labs becoming roughly a quarter of Nvidia’s business would mean model companies are evolving into a new category of capital-intensive industrial customer. The economics of AI increasingly look less like software and more like 387 views · 6 likes · 2 reposts · 1 replies Open on X →

Paolo Tasca ✓@PaoloTasca27 Aug

According to @theinformation, @nvidia has reportedly agreed to acquire @huggingface for $12.9bn. If confirmed, the deal may be more strategically important than another quarter of extraordinary chip sales. Nvidia already controls much of the scarce compute layer. Hugging Face 336 views · 6 likes · 0 reposts · 1 replies Open on X →

Dibandingkan akun berukuran sama

6 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. jangkauan biasa untuk ukurannya, reaksi lebih kuat dari kebanyakan.

Median tayangan342akun ini924median untuk 10K–100K

Jangkauan, %3.27%akun ini3.62%median untuk 10K–100K

Interaksi, %1.90%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	342	924	0.37×
Jangkauan (tayangan ÷ pengikut)	3.27%	3.62%	0.90×
Tingkat interaksi	1.90%	1.52%	1.25×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

33627 Aug

387

392

3496 Sep

2858 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

2.08%27 Aug

2.33%

2.30%

0.00%

1.72%6 Sep

1.05%8 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes71.4%25 in total

Reposts14.3%5 in total

Replies11.4%4 in total

Bookmarks2.9%1 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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