ZeroSlop — August 3, 2026
Today: OpenClaw and Ollama in Agentic AI: Toward Fully…; Fragility of Value under Imperfect Alignment; The OpenAI Hack Shows the Genie Is Out of the Bottle
12 stories worth knowing about today — AI breakthroughs, launches, and innovations making a difference.
1. OpenClaw and Ollama in Agentic AI: Toward Fully Autonomous and Scalable AI Agent Systems
arXiv CS.AI
arXiv:2607.28629v1 Announce Type: new Abstract: The rapid transition from reactive large language models (LLMs) to persistent, action-capable systems has exposed critical gaps in the architectural understanding of Agentic AI, particularly in separating inference, orchestration, and execution layers…
2. Fragility of Value under Imperfect Alignment
arXiv CS.AI
arXiv:2607.28881v1 Announce Type: new Abstract: As more responsibility is placed upon AI systems, it becomes increasingly important to guarantee that these systems are aligned with humanity. A common fear in AI safety is that human value is fragile – that is, optimizing too heavily for an imperfec…
3. The OpenAI Hack Shows the Genie Is Out of the Bottle
Schneier on Security
This essay originally appeared in Foreign Policy . Earlier this month, two of OpenAI’s models broke out of their containment sandbox and attacked another AI company. The story is kind of wild . OpenAI was running security tests on two of its models: GPT-5.6 Sol and an unreleased model that is almost…
4. ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding
arXiv CS.AI
arXiv:2607.28678v1 Announce Type: new Abstract: Multimodal agents operating in long-horizon environments must build and continually update multimedia memories to support entity-consistent, temporally grounded reasoning. However, existing agentic memory approaches often discard fine-grained dentity …
5. Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support
arXiv CS.AI
arXiv:2607.28677v1 Announce Type: new Abstract: LLM now pass medical licensing examinations and, in curated cases, can rival physicians at diagnostic reasoning. These developments have accelerated the use of LLMs for symptom assessment and clinical decision support in diagnostic and treatment guida…
6. NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability
arXiv CS.AI
arXiv:2607.28942v1 Announce Type: new Abstract: Recently Large Language Models (LLMs) have been increasingly deployed as autonomous agents in applications such as self-reflection, retrieval-augmented generation, and scientific discovery. In these settings, agents must act based on limited observati…
7. Scaling Scientific Discovery Environments for Turn-Level Agentic RL
arXiv CS.AI
arXiv:2607.28990v1 Announce Type: new Abstract: Large language model agents have shown promising capabilities in data-driven scientific discovery tasks, where an agent interacts with an execution environment and produces a statistical claim. Long-horizon scientific analysis remains constrained by t…
8. Harnessing the Wisdom of LLM Crowds through Complementarity-Driven Iterative Collaboration
arXiv CS.AI
arXiv:2607.29087v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in enterprise settings, yet individual models remain bounded by model-specific capability limitations. These heterogeneous boundaries pose a deployment challenge, but also create an opportunity: s…
9. Don’t Mix Rewards, Mix Policies: Policy Decomposition and Optimization for Multi-Reward RL
arXiv CS.AI
arXiv:2607.29246v1 Announce Type: new Abstract: Modern large language models (LLMs) are expected not just to answer correctly, but to adapt their behavior to different human values and use cases. As a result, multi-reward reinforcement learning (RL) has become an increasingly important problem for …
10. China’s Alibaba takes another swipe at America’s AI supremacy
The Verge AI
Chinese tech giant Alibaba released what it says is its largest and “most capable AI model to date,” claiming performance rivaling the best systems from US frontier labs Anthropic and OpenAI, as well as domestic rivals like Moonshot AI’s Kimi K3. Alibaba said it was making the model, Qwen3.8-Max, wi…
11. Hollywood Fights AI In Public While Quietly Building It Into Movies
Slashdot
Even as Hollywood performers protest and Hollywood studios sue “in their war on AI,” reports the Los Angeles Times, “the entertainment industry is deepening its dependence on it.”
Among hundreds of job postings in late June, more than one in 10 was likely connected to AI. The top studios’ public po…
12. Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review
arXiv CS.AI
arXiv:2607.28631v1 Announce Type: new Abstract: AI Scientist systems capable of autonomous research have the potential to significantly accelerate scientific discovery. However, evaluating and comparing the quality of AI-generated papers remains an open challenge. We propose and implement a rigorou…