As the information overload skyrockets, the optimal attention chunk size shrinks.
RESEARCH
-
RNNs with Growing Memory: Memory Caching Approaches
By
–
Memory Caching: RNNs with Growing Memory Paper:
-
RNNs Match Transformer Memory Without Quadratic Cost
By
–
Huge! Recurrent neural networks could match Transformer memory without the quadratic burden! Ali Behrouz from Google and colleagues have cracked it! They present Memory Caching (MC), a simple yet powerful method that lets RNNs store "memory checkpoints" of their internal
-
AI Feed Algorithms Impact Content Reach and Resharing
By
–
My thread goes into some depth about what I mean. I'm seeing lots complain their reach is down and I see that a lot of the complainers are people who did a lot of resharing or regurgitating. AI is now running the feed. I built my own to study how AI thinks:
-
GE-Sim 2.0 Advances Embodied Intelligence for Scalable Robot Learning
By
–
GE-Sim 2.0 shows how simulation is evolving toward embodied intelligence, combining video generation, state estimation and policy evaluation in one framework
— Antonio Grasso (@antgrasso) 14 avril 2026
A relevant step for scalable robot learning#AGIBOT Partner#AGIBOTAIWeek #GenieEnvisioner #Robotics #visualsimulation https://t.co/OUFydX0y2VGE-Sim 2.0 shows how simulation is evolving toward embodied intelligence, combining video generation, state estimation and policy evaluation in one framework A relevant step for scalable robot learning #AGIBOT Partner #AGIBOTAIWeek #GenieEnvisioner #Robotics #visualsimulation
-
AI Skills and Judgment: Tools Don’t Close the Gap
By
–
Research, writing, and problem-solving with AI require taste and judgment to use well. Those skills aren't evenly distributed and the tools don't close that gap automatically.
-
Developer leverage: Deep systems understanding and precise AI direction
By
–
The developers who will have the most leverage in 5 years are the ones who understand systems deeply and can direct AI tools precisely. That combination requires both.
-
Engineers’ Responsibility: Awareness of AI Impact Matters
By
–
The engineers who should genuinely worry aren't the ones asking this question. They're the ones who haven't thought about it at all.
-
Code Quality Benchmarks Show Steep Trajectory Shifting AI Calculus
By
–
The exciting version of this is a year or two away not a decade. The trajectory on code quality benchmarks is steep enough that the calculus will shift noticeably in a short window.
-
Intelligent forgetting in AI systems memify strengthens useful paths
By
–
That's a fair reframe. Knowing what to forget is arguably harder than knowing what to remember. memify() is exactly aimed at that, strengthening useful paths and letting stale ones decay. The title optimizes for the hook, but you're right that intelligent forgetting is the