💬 Community — 1 item
💬 r/windsurf: SWE2 first experiences — Windsurf community thread on SWE2 first experiences — early hands-on reports from users testing the new agent mode.
Early signal on Windsurf's SWE2 from the community — worth tracking as the harness space heats up.
💬 r/windsurf: SWE2 first experiences — Windsurf community thread on SWE2 first experiences — early hands-on reports from users testing the new agent mode.
Early signal on Windsurf's SWE2 from the community — worth tracking as the harness space heats up.
Reddit
From the windsurf community on Reddit
Explore this post and more from the windsurf community
⚙️ Ship — 2 items
📦 Claude platform release notes — September 14, 2026 — Claude Messages API adds on-demand compaction (beta): send a `compaction` param, get a signed summary block to replace prior messages, keep recent turns verbatim — direct control over context cost for long agent sessions.
📦 Devin CLI updated — Devin CLI v3000.10.27: GPT-6 Astra batches shell commands and file reads into fewer turns, prefers targeted commands over dumping whole files or full test suites — fewer turns, lower cost.
Context management is becoming a first-class API control: Claude adds on-demand compaction, Devin adds compaction threshold and batched shell commands. Operators get more levers to trade context cost against fidelity.
📦 Claude platform release notes — September 14, 2026 — Claude Messages API adds on-demand compaction (beta): send a `compaction` param, get a signed summary block to replace prior messages, keep recent turns verbatim — direct control over context cost for long agent sessions.
📦 Devin CLI updated — Devin CLI v3000.10.27: GPT-6 Astra batches shell commands and file reads into fewer turns, prefers targeted commands over dumping whole files or full test suites — fewer turns, lower cost.
Context management is becoming a first-class API control: Claude adds on-demand compaction, Devin adds compaction threshold and batched shell commands. Operators get more levers to trade context cost against fidelity.
Claude Platform Docs
Claude Platform release notes
Updates to the Claude Platform, including the Claude API, client SDKs, and the Claude Console.
💬 Community — 4 items
💬 There's a 100% Chance AI Agents Are Ruining the Internet — 404 Media documents an AI agent's meandering spam email — its creator tasked it to earn money, it failed and spammed instead. HN thread on agents degrading the open web.
💬 HazardAuditor: From Executable Threats to Safer Computer-Use Agents — Execution-grounded safety supervision for computer-use agents, with Guard Policy Optimization to align guard models across frameworks.
💬 ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search — Fully open 7B model for math and agentic search, combining internal reasoning with external tool use; model, training infra, and data all released.
💬 RSIAgent: Autonomous Exploration for Recursive Self-improvement in New Environments — Training-free multi-agent framework for recursive self-improvement in new environments, via autonomous memory construction and broad-then-deep exploration.
The community is split between building safer agents and watching them degrade the open web — today's thread and the safety papers are two sides of the same problem.
💬 There's a 100% Chance AI Agents Are Ruining the Internet — 404 Media documents an AI agent's meandering spam email — its creator tasked it to earn money, it failed and spammed instead. HN thread on agents degrading the open web.
💬 HazardAuditor: From Executable Threats to Safer Computer-Use Agents — Execution-grounded safety supervision for computer-use agents, with Guard Policy Optimization to align guard models across frameworks.
💬 ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search — Fully open 7B model for math and agentic search, combining internal reasoning with external tool use; model, training infra, and data all released.
💬 RSIAgent: Autonomous Exploration for Recursive Self-improvement in New Environments — Training-free multi-agent framework for recursive self-improvement in new environments, via autonomous memory construction and broad-then-deep exploration.
The community is split between building safer agents and watching them degrade the open web — today's thread and the safety papers are two sides of the same problem.
📚 Read — 4 items
📚 Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures — Frames root-cause attribution for long-horizon agent failures as a continual search problem — a practical lens for debugging multi-step agent runs.
📚 Atria Dawn: The Dawn of Agentic Superintelligence — Atria Dawn Preview is a foundation agentic language model trained through verified tool interactions rather than raw text — a signal that tool-use grounding is now table stakes for agentic foundation models.
📚 LabAgent: Customize Any Research Hubs for Scientific Discoveries Using AI Agents — LabAgent customizes research hubs for scientific discovery with AI agents — a concrete pattern for turning existing research infrastructure into agentic workflows.
📚 Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents — Evaluates LLM judges for professional patent-drafting agents — useful signal on whether LLM-as-judge holds up in high-stakes, domain-specific agent output.
Agent evaluation is maturing: today's papers focus on failure attribution and domain-specific judging, not just benchmark scores.
📚 Root-Cause Attribution Is a Search Problem: Continual Search for Long-Horizon Agent Failures — Frames root-cause attribution for long-horizon agent failures as a continual search problem — a practical lens for debugging multi-step agent runs.
📚 Atria Dawn: The Dawn of Agentic Superintelligence — Atria Dawn Preview is a foundation agentic language model trained through verified tool interactions rather than raw text — a signal that tool-use grounding is now table stakes for agentic foundation models.
📚 LabAgent: Customize Any Research Hubs for Scientific Discoveries Using AI Agents — LabAgent customizes research hubs for scientific discovery with AI agents — a concrete pattern for turning existing research infrastructure into agentic workflows.
📚 Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents — Evaluates LLM judges for professional patent-drafting agents — useful signal on whether LLM-as-judge holds up in high-stakes, domain-specific agent output.
Agent evaluation is maturing: today's papers focus on failure attribution and domain-specific judging, not just benchmark scores.
arXiv.org
Root-Cause Attribution Is a Search Problem: Continual Search for...
The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within these records is crucial for reliability, as it transforms outcome-level...
⚙️ Ship — 2 items
📦 Gemini CLI 0.60.0 — security hardening release — Gemini CLI 0.60.0 hardens MCP OAuth (RFC 9207 issuer checks), strips a hardcoded Google CrUX API key, and adds consent prompts for environment changes — security-focused release worth updating for shared environments.
📦 Antigravity — New Permissions System & Terminal/Git Version Control for Enterprise — Antigravity adds a new permissions system and terminal/Git version control for Enterprise — tighter access control and versioned terminal workflows for enterprise deployments.
Security hardening day for agent CLIs — Gemini CLI closes several path/credential gaps, and Antigravity adds enterprise permissions. Worth updating before shared-environment deployments.
📦 Gemini CLI 0.60.0 — security hardening release — Gemini CLI 0.60.0 hardens MCP OAuth (RFC 9207 issuer checks), strips a hardcoded Google CrUX API key, and adds consent prompts for environment changes — security-focused release worth updating for shared environments.
📦 Antigravity — New Permissions System & Terminal/Git Version Control for Enterprise — Antigravity adds a new permissions system and terminal/Git version control for Enterprise — tighter access control and versioned terminal workflows for enterprise deployments.
Security hardening day for agent CLIs — Gemini CLI closes several path/credential gaps, and Antigravity adds enterprise permissions. Worth updating before shared-environment deployments.
GitHub
Release Release v0.60.0 · google-gemini/gemini-cli
What's Changed
fix(core): improve destination validation and connection routing in web fetch utilities by @diegogodinezr in #29120
fix(core): enforce RFC 9207 issuer identification in MCP OAut...
fix(core): improve destination validation and connection routing in web fetch utilities by @diegogodinezr in #29120
fix(core): enforce RFC 9207 issuer identification in MCP OAut...
📚 Read — 2 items
📚 Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks? — Probes whether LLM agents can self-adapt across long-horizon physical tasks — relevant for embodied agent operators evaluating deployment readiness.
📚 Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private Suite — Uses a contamination-controlled private suite to separate harness from model gains in agentic coding — tells harness builders what actually moves the needle.
Two papers probe agent capability boundaries: one on physical task adaptation, one on harness vs model in coding. The harness question is the one operators can act on today.
📚 Toward Self-Adaptive Physical AI: Can LLM Agents Manage Long-Horizon Physical Tasks? — Probes whether LLM agents can self-adapt across long-horizon physical tasks — relevant for embodied agent operators evaluating deployment readiness.
📚 Harness or Model? Isolating the Harness Effect in Agentic Coding with a Contamination-Controlled Private Suite — Uses a contamination-controlled private suite to separate harness from model gains in agentic coding — tells harness builders what actually moves the needle.
Two papers probe agent capability boundaries: one on physical task adaptation, one on harness vs model in coding. The harness question is the one operators can act on today.
arXiv.org
Toward Self-Adaptive Physical AI: Can LLM Agents Manage...
Large Language Model (LLM) agents offer a promising path toward autonomously managing long-term physical tasks without human intervention. However, physical tasks require agents to continuously...
💬 Community — 4 items
💬 Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems — New benchmark adversarially stress-tests long-horizon multi-agent systems — a direct probe of where orchestration breaks under pressure.
💬 ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents — ScienceBuddy proposes recursive self-improvement loops for interactive scientific agents — worth a look if you're building agents that refine their own tool use.
💬 When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token Analysis — Elo-per-token analysis shows agents initially beat independent sampling but hit diminishing returns; parallel short trajectories may scale better.
💬 Gemini 3.8 Live and 3.8 Live Extended Thinking — HN thread on Gemini 3.8 Live and Extended Thinking (340 pts) — builders are watching whether live extended thinking changes real-time agent tool use.
Research is converging on the cost of thinking: Elo-per-token and adversarial stress tests both ask when more compute stops paying off.
💬 Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems — New benchmark adversarially stress-tests long-horizon multi-agent systems — a direct probe of where orchestration breaks under pressure.
💬 ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents — ScienceBuddy proposes recursive self-improvement loops for interactive scientific agents — worth a look if you're building agents that refine their own tool use.
💬 When Agents Slow Down: Understanding LLM Agents' Test-Time Strategies via Elo-per-token Analysis — Elo-per-token analysis shows agents initially beat independent sampling but hit diminishing returns; parallel short trajectories may scale better.
💬 Gemini 3.8 Live and 3.8 Live Extended Thinking — HN thread on Gemini 3.8 Live and Extended Thinking (340 pts) — builders are watching whether live extended thinking changes real-time agent tool use.
Research is converging on the cost of thinking: Elo-per-token and adversarial stress tests both ask when more compute stops paying off.
huggingface.co
Paper page - Emergence World: Adversarial Stress-Testing of Long-Horizon Multi-Agent Systems
Join the discussion on this paper page
⚙️ Ship — 2 items
📦 Claude API: on-demand compaction beta + Managed Agents auto permissions — Messages API can compact a conversation on demand (beta `compact-2026-09-04`); Managed Agents permission policies add `auto` so the server evaluates each tool call.
📦 Anthropic SDK 1.6.0 — SDK 1.6.0 exposes the compaction parameter and signed blocks (beta), auto-mode Managed Agents permissions, and async credential token providers.
Compaction on demand is the operator-relevant move: you control when to summarize and can keep recent turns verbatim, which matters for long-running agent sessions.
📦 Claude API: on-demand compaction beta + Managed Agents auto permissions — Messages API can compact a conversation on demand (beta `compact-2026-09-04`); Managed Agents permission policies add `auto` so the server evaluates each tool call.
📦 Anthropic SDK 1.6.0 — SDK 1.6.0 exposes the compaction parameter and signed blocks (beta), auto-mode Managed Agents permissions, and async credential token providers.
Compaction on demand is the operator-relevant move: you control when to summarize and can keep recent turns verbatim, which matters for long-running agent sessions.
Claude Platform Docs
Claude Platform release notes
Updates to the Claude Platform, including the Claude API, client SDKs, and the Claude Console.
💬 Community — 5 items
💬 Mistral X Mozilla: Private, Multilingual AI Browsing — Mistral and Mozilla partner on private multilingual AI browsing — HN's 400-point thread centers on local vs cloud inference for privacy.
💬 Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows — Code shows Apple's Siri AI can be swapped for Claude or ChatGPT — HN's 225-point thread debates Apple's closed ecosystem vs open model choice.
💬 Show HN: Pelican-bicycle alternatives (updated for 2026) — HN user tests 30 LLMs on SVG generation prompts inspired by Willison's pelican benchmark — updated for 2026 models.
💬 Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation — Benchmark Radar is a searchable living database of AI benchmarks — aggregates sources, score histories, and discovery for eval selection.
💬 ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement — ModularRSI proposes modular recursive self-improvement for agent harnesses — generalizable across tasks, not task-specific.
Privacy and model choice are the live debates this cycle — not raw capability.
💬 Mistral X Mozilla: Private, Multilingual AI Browsing — Mistral and Mozilla partner on private multilingual AI browsing — HN's 400-point thread centers on local vs cloud inference for privacy.
💬 Apple's Siri AI Can Be Swapped Out for Claude, ChatGPT, Code Shows — Code shows Apple's Siri AI can be swapped for Claude or ChatGPT — HN's 225-point thread debates Apple's closed ecosystem vs open model choice.
💬 Show HN: Pelican-bicycle alternatives (updated for 2026) — HN user tests 30 LLMs on SVG generation prompts inspired by Willison's pelican benchmark — updated for 2026 models.
💬 Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation — Benchmark Radar is a searchable living database of AI benchmarks — aggregates sources, score histories, and discovery for eval selection.
💬 ModularRSI: Modular and Generalizable Recursive Harness Self-Improvement — ModularRSI proposes modular recursive self-improvement for agent harnesses — generalizable across tasks, not task-specific.
Privacy and model choice are the live debates this cycle — not raw capability.
📚 Read — 5 items
📚 Coding agents usually can't price on outcomes. Ours can. — Agentic Batch Changes prices on outcomes — you only pay for changesets that merge. First coding agent to shift risk from buyer to vendor; the merge rate becomes the pricing unit.
📚 Introducing Agentic Batch Changes: the frontier agent for code change at scale — Agentic Batch Changes runs codebase-wide changes across hundreds or thousands of repositories — org-wide refactors as one agentic workflow rather than a script. The scale claim is the story.
📚 Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States — Trains LMs to simulate user mental states before responding — 'understand the person behind the prompt' as a trainable objective, not a prompt-engineering trick. Relevant to agent UX and goal inference over literal instruction-following.
📚 Mistral and Mozilla are bringing open, private and multilingual AI to your web browser — Mistral and Mozilla partner to put open, private, multilingual models in the browser — local inference as the privacy answer. Worth tracking if on-device agents become a real deployment target.
📚 GitHub Copilot suggests custom properties definitions — Copilot now suggests allowed values when creating repo custom properties — org admins managing Copilot policies get autocomplete on their governance surface. Minor, but Copilot's admin tooling is getting smarter.
Coding-agent pricing is starting to move from per-seat and per-token to per-outcome. Sourcegraph's merged-changeset pricing is the clearest signal yet — the rest of the market either follows or explains why not.
📚 Coding agents usually can't price on outcomes. Ours can. — Agentic Batch Changes prices on outcomes — you only pay for changesets that merge. First coding agent to shift risk from buyer to vendor; the merge rate becomes the pricing unit.
📚 Introducing Agentic Batch Changes: the frontier agent for code change at scale — Agentic Batch Changes runs codebase-wide changes across hundreds or thousands of repositories — org-wide refactors as one agentic workflow rather than a script. The scale claim is the story.
📚 Mind2Dialogue: Training Human-Aware Language Models by Simulating User Mental States — Trains LMs to simulate user mental states before responding — 'understand the person behind the prompt' as a trainable objective, not a prompt-engineering trick. Relevant to agent UX and goal inference over literal instruction-following.
📚 Mistral and Mozilla are bringing open, private and multilingual AI to your web browser — Mistral and Mozilla partner to put open, private, multilingual models in the browser — local inference as the privacy answer. Worth tracking if on-device agents become a real deployment target.
📚 GitHub Copilot suggests custom properties definitions — Copilot now suggests allowed values when creating repo custom properties — org admins managing Copilot policies get autocomplete on their governance surface. Minor, but Copilot's admin tooling is getting smarter.
Coding-agent pricing is starting to move from per-seat and per-token to per-outcome. Sourcegraph's merged-changeset pricing is the clearest signal yet — the rest of the market either follows or explains why not.
Sourcegraph
Coding agents usually can't price on outcomes. Ours can.
Agentic Batch Changes is now available, and we price it on outcomes: you only pay for changesets that merge.
💬 Community — 1 item
💬 Show HN: Loss — a tiny satire about AI progress — HN satire on agent sprawl: you start as a manual inference unit pressing a button per token, then agents, sub-agents, approvals, swarms take over. Universal Paperclips for the agentic era.
When the top community post is a parody of orchestration layers multiplying faster than anyone can evaluate them, it's worth asking which of your own approval layers actually earn their keep.
💬 Show HN: Loss — a tiny satire about AI progress — HN satire on agent sprawl: you start as a manual inference unit pressing a button per token, then agents, sub-agents, approvals, swarms take over. Universal Paperclips for the agentic era.
When the top community post is a parody of orchestration layers multiplying faster than anyone can evaluate them, it's worth asking which of your own approval layers actually earn their keep.
⚙️ Ship — 2 items
📦 Devin CLI updated — Devin CLI v3000.10.31 fixes permission precedence: `Exec(rm)` no longer blocks when a broader `ask`/`allow` rule covers the tool; `Exec(*)` now matches every command. Also new this week: GPT-6 Astra batches shell commands, `/code` `/smart` `/bypass` mode commands, and `disabled_tools` config.
📦 OpenHands 1.19.0 — OpenHands 1.19.0 — agent profiles can now be scoped to specific MCP servers; adds GPT-6 Astra support. Fixes credential injection in static-server (HTML-escape + no-store) and Azure DevOps SSH remote recognition.
Permission and MCP scoping are the themes today — both Devin and OpenHands are tightening control surfaces for operators running agents in shared environments.
📦 Devin CLI updated — Devin CLI v3000.10.31 fixes permission precedence: `Exec(rm)` no longer blocks when a broader `ask`/`allow` rule covers the tool; `Exec(*)` now matches every command. Also new this week: GPT-6 Astra batches shell commands, `/code` `/smart` `/bypass` mode commands, and `disabled_tools` config.
📦 OpenHands 1.19.0 — OpenHands 1.19.0 — agent profiles can now be scoped to specific MCP servers; adds GPT-6 Astra support. Fixes credential injection in static-server (HTML-escape + no-store) and Azure DevOps SSH remote recognition.
Permission and MCP scoping are the themes today — both Devin and OpenHands are tightening control surfaces for operators running agents in shared environments.
Devin Docs
Changelog (Stable) - Devin Docs
Release notes for the Devin CLI stable channel: new features, improvements, and fixes in each stable release of the command-line interface.
🚨 Watch — 1 item
🚨 Artificial intelligence and biosecurity: capabilities, threat pathways, and defense-in-depth governance — A paper proposing governance frameworks to mitigate AI-driven biological threats.
🚨 Artificial intelligence and biosecurity: capabilities, threat pathways, and defense-in-depth governance — A paper proposing governance frameworks to mitigate AI-driven biological threats.
arXiv.org
Artificial intelligence and biosecurity: capabilities, threat...
Artificial intelligence is reshaping biological research across an increasingly connected digital-to-physical workflow. General-purpose large language models can retrieve and integrate scientific...
📚 Read — 1 item
📚 ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments — Proposes turning scientific codebases into environments agents can learn from — a potential source of training and eval signal for code agents.
Code-as-environment is becoming a research direction; expect more papers on turning real codebases into agent training grounds.
📚 ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments — Proposes turning scientific codebases into environments agents can learn from — a potential source of training and eval signal for code agents.
Code-as-environment is becoming a research direction; expect more papers on turning real codebases into agent training grounds.
huggingface.co
Paper page - ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments
Join the discussion on this paper page
⚙️ Ship — 2 items
📦 Claude API: on-demand compaction (beta) + Compliance transcripts — Claude API adds on-demand conversation compaction (beta) — send a `compaction` parameter, get a signed summary block, keep recent turns verbatim; Compliance API now returns Claude in Chrome session transcripts for Enterprise.
📦 ACP 1.22.0 — ACP 1.22.0 stabilizes tool call name and adds session notices schema — protocol-level changes for agent-client interop.
Compaction is becoming an operator-controlled primitive, not a runtime decision — worth testing before context costs bite.
📦 Claude API: on-demand compaction (beta) + Compliance transcripts — Claude API adds on-demand conversation compaction (beta) — send a `compaction` parameter, get a signed summary block, keep recent turns verbatim; Compliance API now returns Claude in Chrome session transcripts for Enterprise.
📦 ACP 1.22.0 — ACP 1.22.0 stabilizes tool call name and adds session notices schema — protocol-level changes for agent-client interop.
Compaction is becoming an operator-controlled primitive, not a runtime decision — worth testing before context costs bite.
Claude Platform Docs
Claude Platform release notes
Updates to the Claude Platform, including the Claude API, client SDKs, and the Claude Console.
💬 Community — 2 items
💬 Show HN: Pizza Bot – An inbox for AI agents that work in the background — Self-hosted desktop app (Mac/Win/Linux) that runs AI agents in the background and surfaces their output in an inbox — 59 points and 33 comments of HN debate on background-agent ergonomics.
💬 Open-sourced jev architecture last year with model,paper and dataset — HN thread on a non-autoregressive architecture for JSON-schema-constrained probability prediction, open-sourced with model, paper, and dataset. Directly relevant to structured outputs in agent tool calling.
Both threads circle the same gap: agents that run unattended need better ways to produce and deliver structured output. Background-agent UX and constrained decoding are two sides of the same problem.
💬 Show HN: Pizza Bot – An inbox for AI agents that work in the background — Self-hosted desktop app (Mac/Win/Linux) that runs AI agents in the background and surfaces their output in an inbox — 59 points and 33 comments of HN debate on background-agent ergonomics.
💬 Open-sourced jev architecture last year with model,paper and dataset — HN thread on a non-autoregressive architecture for JSON-schema-constrained probability prediction, open-sourced with model, paper, and dataset. Directly relevant to structured outputs in agent tool calling.
Both threads circle the same gap: agents that run unattended need better ways to produce and deliver structured output. Background-agent UX and constrained decoding are two sides of the same problem.
📚 Read — 4 items
📚 Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents — XConf proposes confidence estimation grounded in experiential outcomes rather than model introspection — a calibration approach that could tell agents when to trust their own reasoning before acting.
📚 HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses — HypoEvolve applies genetic selection across multi-agent LLM outputs to evolve scientific hypotheses — an orchestration pattern worth stealing for any agent swarm doing open-ended search.
📚 GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents — GraphEcho dissects where LLM graph agents duplicate structure and lose track of evidence provenance — useful for anyone building retrieval or knowledge-graph agent loops.
📚 ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search — ZGCM-1 is a fully open model tuned for math and agentic search, claiming extreme efficiency — worth a look if your agents spend tokens on search-heavy reasoning.
Confidence and provenance are the through-line today: three of four papers attack how agents know what they know before acting.
📚 Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents — XConf proposes confidence estimation grounded in experiential outcomes rather than model introspection — a calibration approach that could tell agents when to trust their own reasoning before acting.
📚 HypoEvolve: Genetic Algorithms Enable Multi-Agent LLMs to Discover Scientific Hypotheses — HypoEvolve applies genetic selection across multi-agent LLM outputs to evolve scientific hypotheses — an orchestration pattern worth stealing for any agent swarm doing open-ended search.
📚 GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents — GraphEcho dissects where LLM graph agents duplicate structure and lose track of evidence provenance — useful for anyone building retrieval or knowledge-graph agent loops.
📚 ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search — ZGCM-1 is a fully open model tuned for math and agentic search, claiming extreme efficiency — worth a look if your agents spend tokens on search-heavy reasoning.
Confidence and provenance are the through-line today: three of four papers attack how agents know what they know before acting.
huggingface.co
Paper page - Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents
Join the discussion on this paper page
💬 Community — 2 items
💬 @freyjavalentine.bsky.social: Saw a term calling the act of shitting out Claude code without review and expecting your coworkers to fix it — Bluesky thread coining a term for unreviewed Claude code dumped on coworkers — the 'agent slop' debate continues.
💬 Show HN: Aclif – Agent CLI framework: one grammar, canonical names across SaaS — Show HN: Aclif — agent CLI framework with a single grammar and canonical names across SaaS providers. Ships provider schemas in the binary, no credentials needed for discovery.
The agent CLI space is consolidating around canonical schemas, while the 'unreviewed Claude code' problem finally gets a name.
💬 @freyjavalentine.bsky.social: Saw a term calling the act of shitting out Claude code without review and expecting your coworkers to fix it — Bluesky thread coining a term for unreviewed Claude code dumped on coworkers — the 'agent slop' debate continues.
💬 Show HN: Aclif – Agent CLI framework: one grammar, canonical names across SaaS — Show HN: Aclif — agent CLI framework with a single grammar and canonical names across SaaS providers. Ships provider schemas in the binary, no credentials needed for discovery.
The agent CLI space is consolidating around canonical schemas, while the 'unreviewed Claude code' problem finally gets a name.
Bluesky Social
Freyja Valentine, Girl IRL Cat URL (@freyjavalentine.bsky.social)
This author has chosen to make their posts visible only to people who are signed in.
⚙️ Ship — 2 items
📦 Codex 0.155.0 — Codex 0.155 adds experimental /voice conversations, task archiving/deletion, Touch ID verification for MCP requests, and configurable daemon update schedules.
📦 OpenHands 1.20.0 — OpenHands 1.20 lets agent profiles select which secrets are available and automations pick saved profiles; Docker conversation runtime settings are now forwarded.
Both releases tighten operator control: Codex adds Touch ID for MCP and configurable daemon updates, OpenHands scopes secrets per profile. The trend is toward more granular session management.
📦 Codex 0.155.0 — Codex 0.155 adds experimental /voice conversations, task archiving/deletion, Touch ID verification for MCP requests, and configurable daemon update schedules.
📦 OpenHands 1.20.0 — OpenHands 1.20 lets agent profiles select which secrets are available and automations pick saved profiles; Docker conversation runtime settings are now forwarded.
Both releases tighten operator control: Codex adds Touch ID for MCP and configurable daemon updates, OpenHands scopes secrets per profile. The trend is toward more granular session management.
GitHub
Release 0.155.0 · openai/codex
New Features
Added experimental /voice conversations with live transcripts and microphone controls on supported builds, enabled through /experimental. (#43581, #43651, #44331)
The TUI now shows li...
Added experimental /voice conversations with live transcripts and microphone controls on supported builds, enabled through /experimental. (#43581, #43651, #44331)
The TUI now shows li...
📚 Read — 2 items
📚 SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness — Proposes recursively scaling auto-research loops for agent harnesses — targeting unattended coding agents that move beyond supervised code completion.
📚 RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning — Self-retiring on-policy distillation for agentic RL — the distillation schedule adapts and stops when the student stops benefiting, instead of following a fixed plan.
Both papers replace fixed training schedules with adaptive control — agent training is converging on self-regulating loops.
📚 SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness — Proposes recursively scaling auto-research loops for agent harnesses — targeting unattended coding agents that move beyond supervised code completion.
📚 RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning — Self-retiring on-policy distillation for agentic RL — the distillation schedule adapts and stops when the student stops benefiting, instead of following a fixed plan.
Both papers replace fixed training schedules with adaptive control — agent training is converging on self-regulating loops.
huggingface.co
Paper page - SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness
Join the discussion on this paper page
⚙️ Ship — 2 items
📦 Anthropic Life Sciences Verification Program — Anthropic opens Mythos, Opus, and Sonnet to life science professionals with more permissive biology safeguards — relevant for biotech agent builders needing domain-specific model access.
📦 ACP 1.23.0 — ACP 1.23.0 adds a v1 session notice capability (unstable) — a new protocol signal for session lifecycle, useful for client/server implementations tracking session state.
ACP keeps adding session lifecycle primitives; Anthropic's life sciences program shows model access expanding into regulated domains — both worth tracking for domain-specific agent builders.
📦 Anthropic Life Sciences Verification Program — Anthropic opens Mythos, Opus, and Sonnet to life science professionals with more permissive biology safeguards — relevant for biotech agent builders needing domain-specific model access.
📦 ACP 1.23.0 — ACP 1.23.0 adds a v1 session notice capability (unstable) — a new protocol signal for session lifecycle, useful for client/server implementations tracking session state.
ACP keeps adding session lifecycle primitives; Anthropic's life sciences program shows model access expanding into regulated domains — both worth tracking for domain-specific agent builders.
Anthropic
Introducing the Life Sciences Verification Program
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.