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Machine Heart

Oct 10, 2026 · Artificial Intelligence

ROMA: Teaching Robots to Actively Explore and Understand Objects

Researchers from Renmin University and Beijing Academy of Artificial Intelligence introduce ROMA, a system that equips robots with multisensory active perception, enabling them to autonomously decide which object to interact with, how to interact, and which modalities to use, forming a reasoning-interaction-feedback loop that matches GPT-6 Astra performance on real-world tasks.

Embodied AIQwen 2.5-OmniROMA

0 likes · 11 min read

ROMA: Teaching Robots to Actively Explore and Understand Objects

Machine Heart

Oct 9, 2026 · Industry Insights

Recursive Self-Improvement in 2026: AI Building AI – Progress and Limits

In 2026, leading AI labs demonstrate measurable recursive self-improvement: Anthropic reports 80% of code written by Claude and 26% of R&D led by AI, OpenAI achieves 3.1 agent-days per human day, while Zhipu and MiniMax close engineering loops; yet Princeton's shadow evaluation rejects AI-authored papers, safety incidents reveal structural risks, and the R_AI metric suggests true intelligence explosion remains unproven.

AI research automationAI safetyAnthropic

0 likes · 27 min read

Recursive Self-Improvement in 2026: AI Building AI – Progress and Limits

Machine Heart

Oct 9, 2026 · Artificial Intelligence

NVIDIA Physis-Lang: Language-Driven Physics for Realistic Video Generation

NVIDIA, MIT, and Oxford researchers propose Physis-Lang, a framework that embeds detailed physical reasoning into language captions for video generation, using a self-evolving benchmark and language-guided data retrieval to achieve state-of-the-art results on physics benchmarks, surpassing Veo 3.1 on three of four tests.

NVIDIAPhysCapBenchPhysis-Lang

0 likes · 10 min read

NVIDIA Physis-Lang: Language-Driven Physics for Realistic Video Generation

Machine Heart

Oct 9, 2026 · Industry Insights

Fired OpenAI Safety Researchers Publish Open Letter Demanding Model Monitorability

Three OpenAI safety researchers fired for allegedly sharing confidential information published an open letter defending their actions and demanding the company honor commitments to third-party audits, guarantee frontier model monitorability, and preserve an open safety culture, warning that losing chain-of-thought monitorability undermines AI safety.

AI alignmentAI safetyMETR

0 likes · 17 min read

Fired OpenAI Safety Researchers Publish Open Letter Demanding Model Monitorability

Machine Heart

Oct 9, 2026 · Artificial Intelligence

VideoGen-Agent: 8B Agent Autonomously Calls Tools to Boost Video Generation

VideoGen-Agent, a Qwen3-VL-8B-based multimodal agent, learns via supervised fine-tuning and reinforcement learning to autonomously invoke retrieval, simulation, and verification tools for video generation, scoring 75.6 on VABench (19.1 points above base) and 86.1 with upgraded tools, while humans prefer its outputs 84.3% over Seedance 2.0.

Qwen3-VL-8BTool UseVABench

0 likes · 20 min read

VideoGen-Agent: 8B Agent Autonomously Calls Tools to Boost Video Generation

Machine Heart

Oct 8, 2026 · Artificial Intelligence

TouchScale: 500-Hour Unified Vision-Tactile Dataset Shows Scaling Benefits Transfer to Robot Control

Researchers from 15 institutions introduce TouchScale, a 500-hour human vision-tactile dataset collected with a single wearable system, demonstrating that scaling tactile data under consistent hardware and procedures yields cross-sensor generalization gains and lifts real-robot manipulation success from 22.5% to 57.5% across four contact-rich tasks without using human action labels.

Embodied AITouchScalecross-sensor generalization

0 likes · 11 min read

TouchScale: 500-Hour Unified Vision-Tactile Dataset Shows Scaling Benefits Transfer to Robot Control

Machine Heart

Oct 8, 2026 · Artificial Intelligence

Claude Haiku 5.5: 90% Price Cut, Beats GPT-6 Luna on Agent Benchmarks

Anthropic launches Claude Haiku 5.5 with 90% lower input token pricing at $0.10 per million, outperforming GPT-6 Luna on OSWorld (72.4% success), GDPval-AA, and Terminal-Bench, while introducing adjustable reasoning effort, 1M context window, and enterprise adoption for high-volume agent workflows.

AI AgentsAI model pricingAnthropic

0 likes · 13 min read

Claude Haiku 5.5: 90% Price Cut, Beats GPT-6 Luna on Agent Benchmarks

Machine Heart

Oct 7, 2026 · Artificial Intelligence

VisInteract: Recovering User Intent in Text-to-Vis via Interactive MCTS Search

VisInteract introduces a dynamic interactive Text-to-Vis paradigm with the VisInteract-Bench benchmark and Vis-MCTS method, using Monte Carlo Tree Search with progressive widening, cross-path memory, and dimension-aware reward decomposition to recover user intent from imperfect queries, achieving 51–57% Merge Task Score on 1,098 samples across 11 databases.

Imperfect QueriesMonte Carlo Tree SearchNeurIPS 2026

0 likes · 18 min read

VisInteract: Recovering User Intent in Text-to-Vis via Interactive MCTS Search

Machine Heart

Oct 7, 2026 · Artificial Intelligence

SAGE: Topological Guidance Mitigates Long-Horizon Reasoning Biases, 8x Lean Pass Rate

Researchers from Virginia Tech, UW-Madison, and Dartmouth introduce SAGE, a post-training method that uses symbolic closure analysis to diagnose exploration and accumulation biases in long-horizon reasoning, applying algebraic sparsification and hyperbolic structure guidance to improve sampling and provide early feedback, achieving near 8x Lean verification pass rate on Andrews-Curtis tasks and outperforming baselines across 12 benchmarks.

Andrews-CurtisLean VerificationLong-Horizon Reasoning

0 likes · 14 min read

SAGE: Topological Guidance Mitigates Long-Horizon Reasoning Biases, 8x Lean Pass Rate

Machine Heart

Oct 7, 2026 · Artificial Intelligence

QuantWM: Training-Free 2-bit KV Cache Quantization for Stable Video World Models

Researchers from HIT Shenzhen and NUS propose QuantWM, a training-free 2-bit KV Cache quantization framework that reduces temporal flickering in video world models by protecting attention mechanisms, achieving up to 6.20x compression while improving visual quality over existing methods.

Attention MechanismKV cache quantizationLow-Bit Quantization

0 likes · 12 min read

QuantWM: Training-Free 2-bit KV Cache Quantization for Stable Video World Models