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

Neueste Beiträge

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 →

Im Vergleich zu Konten gleicher Größe

6 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, stärkere Reaktion als bei den meisten.

Medianaufrufe342dieses Konto924Median für 10K–100K

Reichweite, %3.27%dieses Konto3.62%Median für 10K–100K

Interaktion, %1.90%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	342	924	0.37×
Reichweite (Aufrufe ÷ Follower)	3.27%	3.62%	0.90×
Interaktionsrate	1.90%	1.52%	1.25×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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