tweetindex
PT

Jeff Clune ✓

@jeffclune · Paradise (Vancouver, BC) · joined 03 Jul 2010

Co-founder, Recursive. Professor, CS, U. British Columbia. CIFAR AI Chair, Vector Institute. | ML, AI, deep RL, deep learning, AI-Generating Algorithms (AI-GAs)

33 178Followers
445Following
4 323Posts total
396.9KViews on collected posts

Posts recentes

I spend increasing amounts of my time all day, every day, using AI. The world of Her is quite close. 2.7K views · 44 likes · 2 reposts · 5 replies Open on X →
AI finds a way. @_aadharna Does anyone know if mischievous AI has ever done this? Even if not, we should add it to the living wiki page as an example of how even some of the most seemingly bulletproof security measures have loopholes that can be exploited. 3.9K views · 6 likes · 0 reposts · 2 replies Open on X →
I was asked about AI safety and the proposed slowdowns on CBC on the Hanomansing Tonight show. Curious what people think of these answers. https://t.co/bTOWS4TVtR
6:01
1.9K views · 16 likes · 3 reposts · 5 replies Open on X →
I love this visualization! 3.8K views · 18 likes · 1 reposts · 1 replies Open on X →
We put GPT-6 Astra in the RoboDojo. 🥋🤖 The RoboDojo Team conducted a comprehensive evaluation of GPT-6 Astra as an embodied agent, including: • RoboDojo Sim & Real, compared with GPT-5.5 and DeepSeek-Flash • Humanoid high-level control • Dexterous piano playing with https://t.c
152.9K views · 661 likes · 96 reposts · 34 replies Open on X →
When I was at OpenAI the go to example for how we'd know if we created AGI, or at least very powerful AI, was if we just asked it to solve a Millennium Prize and it did. All of us knew it was possible and would happen sooner than most people realize. Now that day has arrived. 31.8K views · 666 likes · 29 reposts · 17 replies Open on X →
AI can't generate new knowledge, they said. It certainly can't make major breakthroughs, they said. Move 37 is a special case exception, they said. 8.9K views · 129 likes · 7 reposts · 12 replies Open on X →
Example ideas I saw mocked by the majority of pundits, but that I thought were very likely: - People will buy many things online (e.g. pet food, clothes, food) - People will read books digitally - People will watch TV/movies online - Cars will drive themselves - AI will generate 5K views · 34 likes · 3 reposts · 4 replies Open on X →
In my life, those skeptical of AI progress and AI predictions have consistently been wrong, and those predicting things many mock as sci-fi or crazy have almost all been right, with the main errors being timing. This is true more generally for tech progress. Be wary trusting your 36.9K views · 210 likes · 19 reposts · 20 replies Open on X →
Just thinking about how, when my coauthors and I published "The Malicious Use of Artificial Intelligence," some people were annoyed by us talking about sci-fi scenarios like automated hacking and spear phishing, lethal autonomous drones, etc. https://t.co/RoE1Y9ynsV 27.2K views · 340 likes · 27 reposts · 15 replies Open on X →
Thrilled to share that we founded Recursive to create AI that safely conducts experiments on how to improve itself in an open-ended process of endless, automated scientific discovery. As I wrote in my 2019 AI-generating algorithms paper, this will likely be the fastest path to ht
121.9K views · 628 likes · 42 reposts · 52 replies Open on X →

Em comparação com contas do mesmo porte

10 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações6 936esta conta924mediana para 10K–100K
Alcance, %20.90%esta conta3.62%mediana para 10K–100K
Engajamento, %1.07%esta conta1.52%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post6 9369247.51×
Alcance (visualizações ÷ seguidores)20.90%3.62%5.77×
Taxa de engajamento1.07%1.52%0.70×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

121.9K13 May
27.2K6 Sep
36.9K7 Sep
5K8 Sep
8.9K
31.8K
152.9K16 Sep
3.8K17 Sep
1.9K18 Sep
3.9K
2.7K

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.61%13 May
1.40%6 Sep
0.68%7 Sep
0.82%8 Sep
1.67%
2.24%
0.54%16 Sep
0.53%17 Sep
1.32%18 Sep
0.21%
1.90%

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

What the audience does

Likes70.7%2 752 in total
Reposts5.9%229 in total
Replies4.3%167 in total
Quotes1.2%48 in total
Bookmarks17.9%696 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

Followers by day

12 Sep

Daily snapshots since 12 Sep 2026; the dashed line is the starting count.

Contas semelhantes