Scaling Attention to 100M context!? Memory Sparse Attention introduces an idea where instead of rereading an entire 100M-token entry, it learns to jump straight into the relevant memories and reason from them end-to-end. More specifically, it first encodes documents into
RESEARCH
-
Lumos Child-Sized Humanoid Performs Acrobatic Kung Fu Moves
By
–
Lumos’ Child-Sized Humanoid Unleashes “Kung Fu Mode” with Jaw-Dropping Acrobatic Moves
— Ronald van Loon (@Ronald_vanLoon) 31 mars 2026
by @XRoboHub#Robotics #MachineLearning #ArtificialIntelligence #Innovation #Technology pic.twitter.com/6b8prUTGpnLumos’ Child-Sized Humanoid Unleashes “Kung Fu Mode” with Jaw-Dropping Acrobatic Moves
by @XRoboHub #Robotics #MachineLearning #ArtificialIntelligence #Innovation #Technology -
FinQA Open-Sourced: RL Environment for Financial Reasoning Agents
By
–
We just open-sourced FinQA — an #RL environment for financial reasoning agents. Real SEC 10-K data, multi-step reasoning + tool use, constrained SQL, binary rewards. The whole 9 yards! The kicker: a 4B model fine-tuned with FinQA outperformed a 235B model from the same family on finance reasoning: 58x smaller!
→ View original post on X — @snorkelai, 2026-03-31 00:19 UTC
-
Top Robotics News: Airport Humanoids, SoftBank’s New Company, Harvard’s Ant Bots
By
–
Information will be shared in the coming weeks, and it will be open for anyone and anywhere
-
AI News: Biohub Investment, Cancer Detection, Blogging Agent, Food AI
By
–
MASSIVE We've got a huge GPUs giveaway coming up once the one from last month is finalized Not one or two GPUs, multiples!!! Plus potentially full machines, everything brand new as well 😉
-
Snorkel AI Sponsors First ACM Agentic AI Systems Conference
By
–
The first @TheOfficialACM conference on agentic AI systems just got a boost. @SnorkelAI is joining as a sponsor of @CAISconf this May in San Jose. Stanford AI Lab roots, production AI focus, and a shared belief that this community needs a rigorous home. caisconf.org
→ View original post on X — @snorkelai, 2026-03-31 00:09 UTC
-
Data Centers Research: Epoch AI Resource Analysis
By
–
A lot of the starting point for data came from @EpochAIResearch
's excellent resource https://
epoch.ai/data/data-cent
ers
…, with some additional research (mostly backward looking) and some extrapolations -
Must-Read AI Research of the Week: LLM Agents and Optimization
By
–
Must-read AI research of the week: ▪️ Learning to Commit: Generating Organic Pull Requests via Online Repository Memory ▪️ Effective Strategies for Asynchronous Software Engineering Agents ▪️ Composer 2 ▪️ From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents ▪️ Scalable Prompt Routing via Fine-Grained Latent Task Discovery ▪️ MSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT ▪️ On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation ▪️ Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs ▪️ Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? ▪️ RL for Distributional Reasoning in LMs ▪️ Rethinking Token-Level Policy Optimization for Multimodal Chain-of-Thought ▪️ EVA: Efficient Reinforcement Learning for End-to-End Agent Find the full list and the main AI news here: turingpost.com/p/fod146
→ View original post on X — @debashis_dutta, 2026-03-30 23:41 UTC
-
Compute Wars: OpenAI versus Anthropic’s Opus 4.5 Breakthrough
By
–
Compute Wars: OpenAI vs Anthopic.
— Peter Gostev (@petergostev) 30 mars 2026
Why was Opus 4.5 such a breakthrough? Anthropic got lots more compute from AWS Madison and New Carlisle sites likely more than doubling their capacity.
This got Anthropic got close to OpenAI's total capacity, and probably much higher effective… pic.twitter.com/7ys0ZBeRWJCompute Wars: OpenAI vs Anthopic. Why was Opus 4.5 such a breakthrough? Anthropic got lots more compute from AWS Madison and New Carlisle sites likely more than doubling their capacity. This got Anthropic got close to OpenAI's total capacity, and probably much higher effective
-
4B Model Outperforms 235B Through Tool Discipline in FinQA
By
–
In the FinQA env, a 4B model was fine-tuned to outperform a 235B model from the same family on our Finance Reasoning benchmark. What did we teach the 4B model? Tool discipline. Learn more: snorkel.ai/blog/building-fin…
→ View original post on X — @snorkelai, 2026-03-30 22:51 UTC