ΑΙhub.org
 

#AAAI2026 social media round up: part 1


by
23 January 2026



share this:

The 40th AAAI Conference on Artificial Intelligence is currently taking place in Singapore, the first time that the event has been held outside of North America. The opening two days of the conference hosted the tutorials, the bridge programme, and the doctoral and undergraduate consortium, with the main conference – including the invited talks and technical programme – starting on Thursday.

We take a glance at social media to see what people have been enjoying at the event so far.

Last night’s student reception at #AAAI26 was a great success!

[image or embed]

— aaai.org (@aaai.org) 21 January 2026 at 08:11

The Seventh AAAI Undergraduate Consortium (AAAI-UC) is underway at #AAAI26. Our program is designed to foster mentorship, scholarly exchange, and cohort-building through a combination of tutorials, invited talks, panels, and student presentations.

[image or embed]

— aaai.org (@aaai.org) 20 January 2026 at 20:50

@lawlessopt.bsky.social and I are excited to present our #AAAI2026 tutorial on “LLMs for Optimization: Modeling, Solving, and Validating with Generative AI.”

When: Tuesday, Jan 20, 2026, 8:30am–12:30pm SGT
Where: Garnet 216 (Singapore EXPO)

(Connor’s intro slides are shown here.)
CC @aaai.org

[image or embed]

— Ellen Vitercik (@ellen-v.bsky.social) 20 January 2026 at 09:51

Starting at 13:00 (Singapore time) in Peridot 201. Join us if you can to find out how to communicate your work to a wider audience. #aaai2026
aihub.org/2026/01/19/a…

[image or embed]

— AIhub.org (@aihub.org) 21 January 2026 at 10:26

✨Excited to present these results at #AAAI2026 !

📜It is a must read if you are interested in reinforcement learning 📜 @aaai.org

Paper: Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms

#ReinforcementLearning #AAAI #AAAI26 #DeepRL

[image or embed]

— Ezgi Korkmaz (@ezgikorkmaz.bsky.social) 22 January 2026 at 00:03

Just attended the New Faculty Highlight at #AAAI2026 featuring Alexander Rodríguez.

His work on 'Trustworthy AI for Decision Making in Population Health' tackles the real-world challenges of multimodal data scarcity and noisy signals. @aaai.org

[image or embed]

— Yanran Li (@yanranli.bsky.social) 22 January 2026 at 23:24

Differential reinforcement learning provides a pathway towards long-term autonomy. If you’re around at #AAAI2026 today, come say hi at poster 1251 in Hall 4 where I’ll be presenting our new work in which we derive the first *distributional* differential RL algorithm! 🚀

[image or embed]

— Juan Rojas (@juansrojas.bsky.social) 23 January 2026 at 06:15

🇸🇬 Don’t miss @penzo-nicolo.bsky.social presenting his poster on synthetic Multi-Party Conversation generation at #AAAI26!

🏛️ Hall 2
🪧 Poster Board 257
⏰ Jan. 22, 12–2 PM

[image or embed]

— land-fbk.bsky.social (@land-fbk.bsky.social) 21 January 2026 at 22:03



tags: , ,


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.

The malleable mind: context accumulation drives LLM’s belief drift

  09 Mar 2026
LLMs change their "beliefs" over time, depending on the data they are given.

RWDS Big Questions: how do we balance innovation and regulation in the world of AI?

  06 Mar 2026
The panel explores the tensions, trade-offs and practical realities facing policymakers and data scientists alike.

Studying multiplicity: an interview with Prakhar Ganesh

  05 Mar 2026
What is multiplicity, and what implications does it have for fairness, privacy and interpretability in real-world systems?

Top AI ethics and policy issues of 2025 and what to expect in 2026

, and   04 Mar 2026
In the latest issue of AI Matters, a publication of ACM SIGAI, Larry Medsker summarised the year in AI ethics and policy, and looked ahead to 2026.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence