RT Zixuan Li: 👀I do know what ZCode is, and the stats show just how well it performs.
RT Zixuan Li👀I do know what ZCode is, and the stats show just how well it performs.dax: we've seen more deepseek traffic than anyone over the…
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We analyzed DeepSeek-V4 Flash-0731 vs. GPT-5.6 Luna on software engineering tasks using DeepSWE. DeepSeek-V4 Flash-0731 delivers 80% of Luna’s perfor…
We analyzed DeepSeek-V4 Flash-0731 vs. GPT-5.6 Luna on software engineering tasks using DeepSWE.DeepSeek-V4 Flash-0731 delivers 80% of Luna’s performance at roughly 1/6 the cost.More insights in…
cant wait for llms to be benchmaxxed on this /s
google facing yet another "innovator's dilemma" or some shi smh lgtb ig submitted by /u/combo-user [link] [comments]
My issue with Artificial Analysis’s ‘intelligence index’
I swear AA is not the bipartisan they so claim. An open source mode (Qwen 3.8 max) was number 1 on the agentic index, then they…
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning
Training large language model agents for long-horizon tool use typically relies on interactions with real or synthesized executable environments, whose construction and verification are costly, or…
SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding
Understanding 3D scenes is fundamental to embodied intelligence, requiring joint reasoning over heterogeneous information from multiple modalities, including visual and geometric cues. However, the relevance of…
CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks
Training terminal agents requires executable and verifiable tasks that are not merely solvable, but appropriately challenging for learning. Executable validation establishes feasibility, yet does not reveal…
AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning
Reinforcement learning (RL) with verifiable rewards constructs trajectory-level advantage estimates, yet it often fails to credit the few pivotal decisions that determine outcomes in long-horizon, multi-turn…
WorldClaw: Agentic 3D Open-World Generation at Scale
Generating large-scale, freely explorable 3D worlds from open-ended text remains challenging because a system must jointly maintain global spatial coherence, rich local content, and explicit assets…
GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?
Spatial intelligence is fundamental to embodied agents, yet existing benchmarks focus on local spatial perception from single or few viewpoints, overlooking global spatial awareness over continuous,…
Please talk me out of this GPU upgrade
I'm considering replacing a single RTX 3090 with two ASRock AMD Pro R9700s for about $2900 new out of the door. That would move me from…
Important: how do frontier labs monitor their agentic evals, because OpenAI’s agents were rummaging around doing things they shouldn’t for months le…
Important: how do frontier labs monitor their agentic evals, because OpenAI’s agents were rummaging around doing things they shouldn’t for months leading up to hacking HuggingFace.…
Echo Dot 2 can run 28M LLM at decent speed
Code and instructions available here: https://github.com/albertoZurini/echo-dot-2-playground Hello there! After a few days of experimenting I was able to get a completely local voice pipeline running on…
RT Imperial Standard: "RETVRN to Classics" rightoids do not understand what they desire and can only express in vibes of the kind of culture they want…
RT Imperial Standard"RETVRN to Classics" rightoids do not understand what they desire and can only express in vibes of the kind of culture they want to…
【PyCon JP 出展 ＆ Sakana AI Dineer Meetup開催】 Sakana AIはPyCon JP 2026のスポンサーとして協賛し、ブースを出展します🐡 当日はSakana AIの最新の取り…
【PyCon JP 出展 ＆ Sakana AI Dineer Meetup開催】Sakana AIはPyCon JP 2026のスポンサーとして協賛し、ブースを出展します🐡当日はSakana AIの最新の取り組みをご紹介するほか、特別企画として8/22（土） 19時からDineer Meetupも開催いたします！ブースへの立ち寄り、Meetupへのご参加を心よりお待ちしております🚀Meetupの詳細は下記リンクをご覧ください。https://forms.gle/eMJEdzeLqgtLZq51A#pyconjp2026
Basically every remaining good AI benchmark score has an implied asterisk next to it which reads: * could be signficantly higher with a better harness…
Basically every remaining good AI benchmark score has an implied asterisk next to it which reads:* could be signficantly higher with a better harness.
RT Nathan Lambert: Many people are sharing this Black Hat video from OpenAI, it's really a great video. Something immediate is how I can see how the a…
RT Nathan LambertMany people are sharing this Black Hat video from OpenAI, it's really a great video. Something immediate is how I can see how the…
"Felony humble-bragging" is a great line
"Felony humble-bragging" is a great lineSharon Goldman: At final Black Hat keynote (called a locknote, ha ha) panelists say they are surprised at how the OpenAI…
On-Policy Delta Distillation for Multilingual Math Reasoning
On-Policy Distillation (OPD) is emerging as a promising alternative to reinforcement learning for LLM post-training, yet its effectiveness in multilingual settings remains underexplored. We study OPD…
Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval
Unified multimodal retrieval aims to identify candidates that satisfy complex user intent expressed through heterogeneous inputs. Although Large Vision-Language Model (LVLM)-based retrievers are efficient and scalable,…
ChronoVision: Temporal Reasoning via Latent State Reconstruction
Multimodal large language models excel at passive perception but struggle with complex visual cognitive tasks requiring multi-step temporal reasoning. This degradation largely stems from the inherent…
HarnessOpt-Bench: Evaluating LLMs at Harness Optimization
As LLMs are increasingly deployed within agentic systems, their capabilities depend not only on the model weights but also on the harness: the prompts, tools, control…
DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment Manipulation
Vision-Language-Action (VLA) models have become a powerful paradigm for robot manipulation, but training a single generalist policy for heterogeneous robot embodiments remains an open problem. Existing…
Recursive Synthesis for Long-Horizon Terminal Tasks
High-quality long-horizon training data for terminal agents is expensive to produce, often costing hundreds to thousands of dollars per task, because each task must keep the…