peer-reviewed paper · source date 2026-05-01 · 0 comments ·
original1. Problems / challenges / motivations
- Multi-agent debate and collaboration results were mostly established on weaker base models and assumed to hold as models improve.
- Teams have no decision rule for when to add agents versus when a single strong model suffices.
- Collaboration adds cost and latency that need justification.
2. Key ideas
- Quantifies...
research blog · source date 2026-04-01 · 0 comments ·
original1. Problems / challenges / motivations
- Multi-agent systems are adopted on the assumption that more agents means better results, with little controlled evidence.
- Comparisons across papers confound topology, model, and token budget.
- Errors propagate differently depending on how agents are wired together, and that effect is rarely measured.
2. Key...
peer-reviewed paper · source date 2025-10-24 · 0 comments ·
original1. Problems / challenges / motivations
- Self-modification search scores a variant by its own benchmark performance, but the useful property is whether it leads somewhere — the two come apart.
- The paper names this the Metaproductivity–Performance Mismatch: a mediocre variant can be the ancestor of the best ones.
- Expanding the wrong branches burns large...
peer-reviewed survey · source date 2025-09-02 · 0 comments ·
original1. Problems / challenges / motivations
- Agentic RL work is spread across planning, tool use, memory, reasoning, and perception with no shared taxonomy.
- Standard LLM RL formulations assume a single-step MDP, which does not describe an agent acting over a long horizon with partial observability.
- Environments, benchmarks, and frameworks are fragmented and...
technical report · source date 2025-07-01 · 0 comments ·
original1. Problems / challenges / motivations
- Long context windows are marketed as capacity, and teams treat "fits in the window" as "will be used correctly."
- Needle-in-a-haystack tests use high semantic similarity between question and needle, which is the easy case.
- Without evidence of degradation, there is no case for the engineering cost of compaction and...
peer-reviewed paper · source date 2025-05-30 · 0 comments ·
original1. Problems / challenges / motivations
- The classical Gödel machine requires a formal proof that a self-modification is an improvement, which is infeasible for real systems.
- Agent design is currently done by hand, one scaffold change at a time.
- Greedy self-modification collapses into a local optimum and loses variants that would have paid off...