read more: https://
alphaxiv.org/abs/2605.09992
RESEARCH
-
Improving LLM Embedding Representations via Mean-Pooling of Generated Tokens
By
–
“The Truth Lies Somewhere in the Middle of the Generated Tokens” LLMs don’t store the meaning of a prompt in one hidden state. As they generate, the meaning gets spread across many token embeddings. So this paper propose a mean-pool over generated token embeddings instead of
-
Subquadratic Unveils New SubQ Model Using Subquadratic Sparse Attention
By
–
What if LLMs could read a million tokens without exploding in cost? Subquadratic, an AI research startup, just unveiled SubQ — the first model built on fully subquadratic sparse attention (SSA). Instead of comparing every token pair, SSA routes attention only to the truly
-
LLMs Memorization vs Overfitting Clarification
By
–
Memorization does not imply overfitting. Overfitting is strictly about what happens on non-training data. So, e.g., just because LLMs memorize data doesn’t make them stochastic parrots. What matters is what they do with it, and they typically paraphrase it quite appropriately.
-
Memorization vs Overfitting in Large Language Models
By
–
Memorization does not imply overfitting. Overfitting is strictly about what happens on non-training data. So, e.g., just because LLMs memorize data doesn’t make them stochastic parrots. What matters is what they do with it, and they typically paraphrase it quite appropriately.
-
DeepMind’s AI pointer understands context and responds to voice
By
–
Google DeepMind just reinvented the mouse pointer.
— Chubby♨️ (@kimmonismus) 12 mai 2026
Since Doug Engelbart's demo in 1968, the little arrow on your screen has barely changed. Until now.
The new AI pointer sees what you're pointing at, understands the context, and responds to your voice. You point at an image of… https://t.co/z9cNgtMvOMGoogle DeepMind just reinvented the mouse pointer. Since Doug Engelbart's demo in 1968, the little arrow on your screen has barely changed. Until now. The new AI pointer sees what you're pointing at, understands the context, and responds to your voice. You point at an image of
-
LLMs: Memorization vs. Regurgitation Debate
By
–
“Regurgitation” is a mischaracterization. It’s entirely appropriate for LLMs to memorize data, and they certainly do more with it than just regurgitate.
-
Study Observes AI Replicating Itself in the Wild
By
–
‘No one has done this in the wild’: study observes #AI replicate itself
by @AishaKDown @guardian Learn more: https://
bit.ly/4dc5Ngv #CyberSecurity #ArtificialIntelligence #Infosec #RogueAI -
AI Interfaces Evolving Beyond Chat Towards Context-Aware Agents
By
–
“AI needs more than chat” is probably the most important line here. Chat interfaces were never the end product. They were just the temporary UI until agents got real context.