Excited to share I didn't submit any paper to AAAI. #AAAI #AI

📢 Excited to share our latest research – “On the Effect of Instruction Tuning Loss on Generalization” – which will soon appear in the Transactions of the Association for Computational Linguistics (TACL)!! Instruction Tuning is the very first step in the post-pretraining phase

GSLV-F16/NISAR From a majestic liftoff to the flawless separation, witness the full journey. Watch spectacular moments of NISAR launching aboard GSLV-F16 and its precise separation, captured on-board. A milestone in global space collaboration. #ISRO #NASA #GSLVF16 #NISAR

The number of papers in AI conferences has grown exponentially in the last decade. The number of good papers has stayed constant.

#SIGIR2025 paper alert :)

**Kindly consider sharing the post** We are seeking opinions about the current quality of reviewing in *CL conferences. We (@emnlpmeeting PCs along with @ReviewAcl EiCs) are committed to improving the review quality. We are bringing a series of changes in the review process.

@abacaj rag isn’t “solved” because retrieval can’t be “solved”. it’s frequently a precision-recall and latency tradeoff. that said, some of the domains are better solved than the others. metadata tags and keywords. and lots of metadata tags and keywords.

🎥 Relive the Liftoff! 🚀 Experience the majestic PSLV-C60 launch carrying SpaDeX and groundbreaking payloads. Enjoy breathtaking images of this milestone in India’s space journey! 🌌✨ #SpaDeX #PSLV #ISRO 📍 @DrJitendraSingh

Overheard at a large tech company: “We have agents for everything now. We took our templates and renamed them agents.”

Can o3 compute correct GST rates? I doubt. I think that's the ultimate benchmark OpenAI and other labs should focus on.

Google's Willow quantum computing chip has the ability to solve problems that would take supercomputers, 10 septillion years to complete Thank God they launched before our Govts new GST rules I think You will need every bit of its computing power to calculate the GST on popcorn

A Nobel Prize for AI research falling under the category of Physics makes perfect sense because AI is the study of how to make silicon rocks think, and that's geology, which is a physical science, and the same root "physic" is used in both physics and physical science. I guess?

Boltzmann machines - Hinton’s extension of Hopfield networks - are great. The only problem is they don’t work.

People were worried about ChatGPT hallucinating. They didn't know OpenAI will be a source of unimaginable drama. Harder to align people than models, it seems.

When will AI reach PhD-level intelligence? Depends on the field. In fields with negative intelligence (e.g., gender studies), a pocket calculator is already far ahead.

No proposal or manuscript is ever perfect, but to be effective, it does eventually need to be finished. Nothing we submit will ever be as good as it *could* be and just recognizing that can be an important step forward. Perfection is not the goal. Finished is the goal.

Another cycle of @ReviewAcl , another arbitrary set of reviews, and even worse meta-review. It's high time the community goes for open reviews so reviewers don't hide behind the garb of anonymity. The current system is so demoralising, especially for early career researchers.

I feel bad for all the people working day and night to produce minor tweaks to LLMs that will soon be obsolete.

Twitter is the only place where you can ignore decades worth of math and foundational understanding of machine learning, make sweeping generalizations, and have hundreds of thousands of people believe you.

Repeat after me: "Reviewer 2 is not an idiot. It's my fault for not writing things more clearly."