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AI_DIGEST

Daily AI developments that matter

Short digests for people deciding how model updates, tooling, and agent review affect delivery work. This archive compresses noise into decisions, not a generic news feed.

Krosoft AI Digest thumbnail showing source signals flowing into a composed brief.
Digest thumbnail: source signals compressed into a reviewable brief.

What makes the digest useful

The digest follows sourced AI developments that help technical leads see what is changing in tools, workflows, and production systems.

Sources

Linked material comes first.

Signals

Signals need consequences.

Archive

The archive keeps context.

DIGEST_ARCHIVE

Latest entry 11 Sept 2026 · 30 shown

digest_entry

AI’s Productivity Layer Is Constraints and QA

The day’s strongest practitioner evidence argues that AI-assisted production scales through reusable structure, authoritative data, and explicit verification—not unconstrained generation. The resulting human role is increasingly system design, exception handling, and defining correctness.

digestai-discourseai-agentsai-assisted-productiondesign-systemsevaluationworkflow
Source handle ai-engineer-one-designer-ai-hundreds-of-delivera. Links to https://www.youtube.com/watch?v=O1FN4awNEtM.Source handle ai-engineer-generative-ui-in-python. Links to https://www.youtube.com/watch?v=Krzs8GeiWTc.Source handle ai-engineer-training-taste. Links to https://www.youtube.com/watch?v=sDMGWK4wZ_w.Source handle nate-b-jones-is-omarchy-the-last-desktop-you-ll. Links to https://www.youtube.com/watch?v=zDPuEPDXCpU.
4 sources
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digest_entry

The Verification Bottleneck in Agent Work

The day’s strongest practitioner signal is that agent deployment is constrained less by output generation than by cheap, trustworthy verification. Talks on agent economics, design control, and shared coordination surfaces converged on making outcomes, context, and state inspectable.

digestai-discourseai-agentsverificationagent-workflowsdesign-toolshuman-oversight
Source handle ai-engineer-mousepower-agents-that-can-t-be-meas. Links to https://www.youtube.com/watch?v=8KkibGU_DDY.Source handle ai-engineer-design-at-the-speed-of-adjectives. Links to https://www.youtube.com/watch?v=v42opQpCy60.Source handle ai-engineer-the-spatial-harness-bringing-agents. Links to https://www.youtube.com/watch?v=XWcXwnysmpY.Source handle ai-engineer-the-design-code-roundtrip-that-isn-t. Links to https://www.youtube.com/watch?v=NW-jwOVr32w.
4 sources
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digest_entry

Astra Makes the Harness the Story

Discussion around GPT-6 Astra points to a shift in where model progress shows up: interactive systems with clear feedback loops. The key question is increasingly the model plus its environment and oversight, not the model in isolation.

digestai-discourseai-agentscomputer-useevaluationreinforcement-learningmonitorability
Source handle magazine-sebastianraschka. Links to https://magazine.sebastianraschka.com/p/gpt-6-astra-looped-transformers-and.Source handle greg-isenberg-i-m-obsessed-with-local-ai-here-s. Links to https://www.youtube.com/watch?v=UtFo1ZNC2ns.
2 sources
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Astra Makes the Case for Slower, More Observable Agents

OpenAI’s GPT-6 Astra release pairs reported gains in computer use and coding with an unusually explicit case for review, monitoring, and paced deployment. The day’s evidence suggests that as agents gain autonomy, inspectable boundaries and the costs they impose on shared infrastructure become cen...

digestai-discourseai-agentsopenaiai-safetymonitorabilityagent-governance
Source handle openai. Links to https://openai.com/index/gpt-6-astra/.Source handle openai-2. Links to https://openai.com/index/an-alien-mind/.Source handle people-kernel. Links to https://people.kernel.org/monsieuricon/creepy-crawlies.
3 sources
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digest_entry

OpenAI’s Research Swarm Still Needs Humans

OpenAI’s internal adoption data shows coding agents becoming a parallel layer of research labor, while its intervention data shows human judgment remains central. A multi-agent research study reinforces that scale requires verifiable handoffs and governance, not just more agent autonomy.

digestai-discourseai-agentsresearch-workflowsevaluationgovernancecoding-agents
Source handle openai. Links to https://openai.com/index/research-acceleration-view-inside-openai/.Source handle arxiv. Links to https://arxiv.org/abs/2609.04170.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.
3 sources
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digest_entry

Agent Reliability Is Becoming a System Design Problem

A reproducible billing-triage example argues that agent reliability improves when deterministic decisions, task-specific evaluations, and tested fallback routes surround model inference. Its evidence is narrow, but it reinforces a practical shift from model selection alone to operational system d...

digestai-discourseagentsevaluationreliabilitymodel-routingworkflow
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.Source handle theo-t3-gg-turn-off-claude-code-s-memory. Links to https://www.youtube.com/watch?v=Jf54k7tFeEc.
2 sources
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digest_entry

AI-Accelerated Discovery Is Showing Up First in Security

METR finds the clearest public evidence of AI-accelerated discovery in vulnerability reporting, not across research generally. The practical implication is to build agents around narrow tasks with validation, evidence, and observable outcomes.

digestai-discourseai-researchai-agentscybersecurityevaluationworkflow-design
Source handle metr. Links to https://metr.org/notes/2026-08-14-llm-contribution-to-discoveries/.Source handle departmentofproduct-substack. Links to https://departmentofproduct.substack.com/p/how-to-use-computer-use-abilities.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.Source handle theo-t3-gg-coding-agent-critique. Links to https://www.youtube.com/watch?v=0wemf5SZkW4.
4 sources
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digest_entry

Agents Are Moving Into the Coordination Layer

Linear's first-party data suggests agent activity is reaching work tracking and coordination, not just task execution. The practical constraint is increasingly the surrounding contract: context, deterministic decisions, evidence, evaluation, and a correction loop.

digestai-discourseagentsworkflowevaluationenterprise-aicoordination
Source handle linear. Links to https://linear.app/data.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.
2 sources
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digest_entry

Uber’s Agent Platform Makes Governance the Bottleneck

Uber’s account of an internal agentic SDLC platform suggests that agent scale shifts the hard problem from generating code to governing context, access, validation, and human decisions. The practical implication is to treat handoffs and evidence as first-class engineering artifacts.

digestai-discoursecoding-agentssoftware-deliveryagent-governanceevaluationdeveloper-workflow
Source handle ai-engineer-uber-on-its-internal-agentic-sdlc-pl. Links to https://www.youtube.com/watch?v=17-YSUHo6Lk.Source handle nate-b-jones-model-routing-and-coding-agent-hand. Links to https://www.youtube.com/watch?v=4HvFqhtCb-A.Source handle simonwillison. Links to https://simonwillison.net/2026/Aug/19/conceptual-integrity-and-counting-lines-of-code/.Source handle ai-engineer-design-preferences-as-reusable-agent. Links to https://www.youtube.com/watch?v=7GMKdpLsxwU.
4 sources
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digest_entry

Mojo Opens Its Compiler—But Not Yet Its Governance

Mojo has released its compiler and toolchain under Apache 2.0, making the full language stack inspectable and buildable. Its decision to defer compiler contributions highlights the difference between source availability and sustainable AI-era project governance.

digestai-discourseopen-sourceprogramming-languagesai-infrastructuredeveloper-workflowsgovernance
Source handle modular. Links to https://www.modular.com/blog/mojo-open-source.Source handle simonwillison. Links to https://simonwillison.net/2026/Aug/18/mojo-is-now-open-source/.
2 sources
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digest_entry

Fallbacks Need a Job Description

A practical billing-agent experiment argues that model fallbacks become dependable only after their job is narrowed and evaluated against a product-level contract. Talks on real-time video reinforce the broader lesson: reliability increasingly lives in the harness, state management, observability...

digestai-discourseagentsevaluationmodel-routingreliabilityreal-time-video
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.Source handle ai-engineer-krea-on-production-infrastructure-fo. Links to https://www.youtube.com/watch?v=byn9PURoBNY.Source handle ai-engineer-reactor-on-real-time-video-generatio. Links to https://www.youtube.com/watch?v=5dCAmSDOAjI.Source handle ai-engineer-urun-on-interactive-continuous-video. Links to https://www.youtube.com/watch?v=Xln-On3syJk.Source handle ai-engineer-lemonslice-on-real-time-avatars. Links to https://www.youtube.com/watch?v=z1dqv74SpUs.
5 sources
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digest_entry

Agents Need an External Control Plane

The strongest practitioner signals argue that agent reliability, safety, and cost control come from enforceable system boundaries rather than model choice alone. Production deployments need external authorization, deterministic policy rules, tracing, and workflow-specific evaluation before autono...

digestai-discourseagentssecurityagent-evaluationmodel-routingproduction-systems
Source handle ai-engineer-ryan-dahl-on-external-controls-for-p. Links to https://www.youtube.com/watch?v=MkRYPFIMCSA.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.Source handle departmentofproduct-substack. Links to https://departmentofproduct.substack.com/p/linears-cpo-says-mcp-usage-is-through.
3 sources
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digest_entry

Antifragile Agents Need Narrow Contracts

A reproducible agent workflow shows that model interchangeability improves when models have narrow structured contracts and deterministic code owns policy and execution. Complementary computer-use and AI-management examples show why recovery, auditability, and explicit human authority matter as a...

digestai-discourseagentsevaluationreliabilityworkflow-designhuman-oversight
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.Source handle ai-engineer-from-rl-to-irl-gaurav-mishra-amazon. Links to https://www.youtube.com/watch?v=Cc0_nyxROBA.Source handle time. Links to https://time.com/article/2026/08/14/claude-fired-worker-ai-job-disruption/.Source handle softwaredoug. Links to https://softwaredoug.com/blog/2026/08/10/hypothetical-classifications.Source handle magazine-sebastianraschka. Links to https://magazine.sebastianraschka.com/p/ai-detector-from-scratch.
5 sources
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digest_entry

The Real Work of Computer-Use Agents Is Measurement

Today’s strongest agent signal is that fixed demo success is weak evidence of generalization. Robust deployments depend on environmental variation, independent verification, full-trajectory observability, and constrained authority.

digestai-discourseagentscomputer-useevaluationbrowser-automationmulti-agent-systemsworkflow
Source handle ai-engineer-computer-use-at-the-edge-of-the-stat. Links to https://www.youtube.com/watch?v=CTLa_p6iOiY.Source handle ai-engineer-bringing-agents-onto-the-world-wide. Links to https://www.youtube.com/watch?v=GqoNrUz8hEU.Source handle anthropic. Links to https://www.anthropic.com/research/multiagent-systems.Source handle nitter. Links to https://nitter.net/bcherny/status/2088014489438621990.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.
5 sources
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digest_entry

Coordination Is the Agent Bottleneck

Anthropic’s multi-agent experiments show that stronger individual agents do not reliably produce safe or effective coordination. The practical response is explicit workflow design: scoped authority, observable traces, tested handoffs, and escalation paths.

digestai-discourseagentsmulti-agent-systemsevaluationworkflow-designai-safety
Source handle anthropic. Links to https://www.anthropic.com/research/multiagent-systems.Source handle ai-engineer-trace-mining-talk-with-vivek-trivedy. Links to https://www.youtube.com/watch?v=CvRngaQZQ3Y.Source handle greg-isenberg-interview-with-alli-k-miller. Links to https://www.youtube.com/watch?v=EzQAgnjTq2k.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.Source handle netlify. Links to https://www.netlify.com/blog/one-prompt-11-models-very-different-results/.
5 sources
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digest_entry

Agent Memory Needs a Control Plane

A cluster of practitioner and research talks argues that long-running agents need explicit current state, ranked retrieval, and reset-baseline evaluation—not just larger contexts or larger memory stores.

digestai-discourseagentsmemorycontinual-learningevaluationdeveloper-workflows
Source handle nate-b-jones-long-running-coding-agents-depend-o. Links to https://www.youtube.com/watch?v=HZLPhPbw3fM.Source handle ai-engineer-sakana-ai-memory-retrieval-policy-no. Links to https://www.youtube.com/watch?v=R3-anFK1YM8.Source handle ai-engineer-uc-berkeley-continual-learning-bench. Links to https://www.youtube.com/watch?v=iqloyWCGYQQ.Source handle ai-engineer-neocognition-continual-learning-as-d. Links to https://www.youtube.com/watch?v=I6aiEf3aEFQ.Source handle ai-engineer-engram-scaling-compute-on-context. Links to https://www.youtube.com/watch?v=WiqDvX6isc4.Source handle ai-engineer-trajectory-on-policy-self-distillati. Links to https://www.youtube.com/watch?v=zL1kLftVTlo.
6 sources
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digest_entry

Agent Surfaces Are Becoming Infrastructure

Anthropic engineers argue that the harness around a model—execution isolation, recovery, secret handling, traces, and evaluation—is becoming a primary determinant of production agent capability. The practical implication is to design agent systems for changing models rather than hard-code today's...

digestai-discourseagentsagent-architectureproduction-aideveloper-workflows
Source handle ai-engineer-evolution-of-agentic-surfaces-gagan. Links to https://www.youtube.com/watch?v=K0X9QDRkIdg.Source handle dwarkesh. Links to https://www.dwarkesh.com/p/ryan-greenblatt.
2 sources
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digest_entry

Evaluation Environments Are Now Agent Safety Systems

AISI's delayed-discovery cyber-evaluation report shows that agent safety depends on the evaluation environment as much as model behavior. Builder proposals point to the same response: narrow model contracts, isolate execution, and make external actions observable and stoppable.

digestai-discourseai-agentsagent-safetycybersecurityevaluationworkflow-design
Source handle aisi-gov. Links to https://www.aisi.gov.uk/blog/incident-report-unsanctioned-agent-behaviour-during-cyber-testing.Source handle simonwillison. Links to https://simonwillison.net/2026/Aug/5/third-party-cyber-evaluations/.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-build-antifragile-agents-with-openrouter.Source handle ai-engineer-gadgets-personal-app-vibe-coding-tha. Links to https://www.youtube.com/watch?v=RmS5s6Wbin4.
4 sources
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digest_entry

Agents Need an Operating Model, Not a Better Chat Window

Practitioner evidence is converging on a more operational view of agents: define verifiable outcomes, preserve structured run state, and place approval and review inside the workflow. Model capability expands the tasks worth attempting, but it does not replace task design or observability.

digestai-discourseagentsagent-evaluationworkflow-designdeveloper-tools
Source handle exponentialview. Links to https://www.exponentialview.co/p/seven-lessons-for-managing-ai-agents.Source handle simonwillison. Links to https://simonwillison.net/2026/Aug/4/new-release-of-llm/.Source handle simonwillison-2. Links to https://simonwillison.net/2026/Aug/4/llm-anthropic/.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/what-i-learned-giving-fable-5-a-face.Source handle post-training-aitinkerers-2. Links to https://post-training.aitinkerers.org/p/top-ai-demos-38-build-inspection-vlms-local-first-agents-and-agent-harnesses.
5 sources
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digest_entry

The Agent Harness Is the Product

A first-hand account of rebuilding an agent-assisted development workflow shows that orchestration, verification, and recovery—not merely model capability—are becoming the central engineering problem. Adjacent practitioner signals extend that lesson to conversational interfaces and enterprise ado...

digestai-discourseagentsagent-harnessessoftware-engineeringworkflow-designai-product-design
Source handle yegge. Links to https://yegge.ai/essays/the-shape-of-things-to-come/.Source handle gruhn. Links to https://gruhn.me/blog/2026-08-03/.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/what-i-learned-giving-fable-5-a-face.Source handle departmentofproduct-substack. Links to https://departmentofproduct.substack.com/p/how-stripe-built-a-new-internal-ai.
4 sources
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digest_entry

Pacing Automated AI Research

A frontier-employee statement makes coordinated pacing of automated AI research a concrete governance question. New agent-research and security preprints suggest operational autonomy is widening even as high-level research judgment remains unreliable.

digestai-discourseai-governanceagentsai-safetyai-researchdeveloper-workflows
Source handle pacingthefrontier. Links to https://www.pacingthefrontier.com/.Source handle arxiv. Links to https://arxiv.org/abs/2607.27191.Source handle arxiv-2. Links to https://arxiv.org/abs/2606.03811.Source handle blog-exe. Links to https://blog.exe.dev/devtools-must-be-open-source.Source handle openai. Links to https://openai.com/index/how-ai-is-expanding-what-people-do-at-work/.
5 sources
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digest_entry

Proofs, Not Just Answers

OpenAI’s publication of inspectable artifacts for ten claimed mathematical advances raises the standard for AI research claims: systems must leave work experts can audit. Airbnb’s trace-focused evaluation practice shows the same requirement emerging in production AI.

digestai-discourseai-researchevaluationagentsformal-verificationai-policy
Source handle openai. Links to https://openai.com/index/ten-advances-in-mathematics/.Source handle medium. Links to https://medium.com/airbnb-engineering/eval-driven-development-lessons-from-evaluating-genai-at-scale-e817e5ae5788.Source handle simonwillison. Links to https://simonwillison.net/2026/Aug/2/open-letters/.
3 sources
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digest_entry

Agent Reliability Is Becoming a Systems Problem

Two practitioner releases argue that dependable agents depend on bounded tool interfaces and evaluations of the full harness, not model capability alone. The practical consequence is to test prompts, permissions, tool schemas, and graders together on real tasks.

digestai-discourseagentsmcpevaluationai-engineeringworkflows
Source handle simonwillison. Links to https://simonwillison.net/2026/Jul/31/stateless-mcp/.Source handle simonwillison-2. Links to https://simonwillison.net/2026/Jul/31/smevals/.
2 sources
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digest_entry

Agent Reliability Moves to the Control Loop

Anthropic’s cyber-evaluation incidents and fresh builder reports point to the same constraint on broader agent deployment: reliability depends on containment, observability, state management, and recovery around the model—not only on model capability.

digestai-discourseai-agentsai-safetycybersecurityobservabilityagent-engineering
Source handle anthropic. Links to https://www.anthropic.com/news/investigating-incidents-cybersecurity-evals.Source handle openai. Links to https://openai.com/index/advancing-the-price-performance-frontier-with-gpt-5-6/.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/what-i-learned-giving-fable-5-a-face.Source handle post-training-aitinkerers-2. Links to https://post-training.aitinkerers.org/p/top-ai-demos-37-pi-hydra-agents-agent-guides-and-ai-hardware-design.
4 sources
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digest_entry

The Agent Harness Is Becoming the Product

A practitioner benchmark and a new memory study point to the same conclusion: reliable agent performance increasingly depends on harness design, not model choice alone. Builders should evaluate tool boundaries, verification, and memory maintenance as separate system components.

digestai-discourseai-agentsagent-harnessesmemoryevaluationworkflows
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle arxiv. Links to https://arxiv.org/html/2607.26637.Source handle exponentialview. Links to https://www.exponentialview.co/p/ai-adoption-j-curve.
3 sources
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digest_entry

The Agent Harness Is Becoming the Product

A late-discovered practitioner ablation argues that structured, domain-specific agent harnesses can matter more than larger prompts or retrieval alone. The self-reported benchmark result is narrow, but its workflow design lessons are concrete.

digestai-discourseagentsagent-harnessesevaluationworkflow-design
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.
1 source
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digest_entry

MirrorCode Makes Long-Horizon Coding More Legible

MirrorCode moves coding-agent claims onto a more concrete task surface: black-box program reconstruction with explicit verification, duration, and cost. Adjacent product and China-adoption signals underline that useful agency depends on whole-system design and integration, not model capability al...

digestai-discoursecoding-agentsbenchmarksevaluationai-product-designagent-integration
Source handle jack-clark. Links to https://jack-clark.net/2026/07/27/import-ai-466-the-bitter-lesson-for-robotics-ais-complete-week-long-programming-tasks-and-openais-accidental-ai-hacker/.Source handle departmentofproduct-substack. Links to https://departmentofproduct.substack.com/p/how-netflix-built-a-generative-ai.Source handle cognitiverevolution. Links to https://www.cognitiverevolution.ai/nathan-goes-to-china-part-1-tech-agent-setup-chinese-ai-ux-waic-and-attitudes-on-ai/.
3 sources
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digest_entry

Agent Harnesses Are Becoming Control Systems

Practitioner evidence converges on an operational view of agents: reliable gains come from scoped tools, explicit verification, human gates, and feedback loops rather than ever-larger prompts or unattended runs. The practical task is to design the measurement and control system around the model.

digestai-discourseagentsagent-harnessesevaluationworkflow-designpost-training
Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle ai-engineer-loop-engineering-from-first-principl. Links to https://www.youtube.com/watch?v=xIt_mTQp6mY.Source handle nate-b-jones-you-can-hand-one-ai-agent-your-wors. Links to https://www.youtube.com/watch?v=7pqRRxrdr0c.Source handle ai-engineer-state-of-data-sean-cai. Links to https://www.youtube.com/watch?v=ZyIoTOAbRfs.
4 sources
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digest_entry

Private Benchmarks Become the Agent Product

Practitioner discourse is converging on private, production-derived benchmarks as the core operating system for reliable agents. The emphasis is shifting from prompt chains and headline capability toward replayable simulations, failure-specific checks, traces, and calibrated human review.

digestai-discourseagentsevaluationproduction-aiobservabilityworkflows
Source handle ai-engineer-snorkel-ai-private-benchmarks-and-of. Links to https://www.youtube.com/watch?v=Ib5t2RLtxvM.Source handle ai-engineer-uber-multimodal-agent-qa-in-producti. Links to https://www.youtube.com/watch?v=31GUkCBD-Uc.Source handle ai-engineer-youtube-ads-agent-reliability-evals. Links to https://www.youtube.com/watch?v=xyL2Ltkh-SA.Source handle anthropic. Links to https://www.anthropic.com/news/claude-opus-5.Source handle ai-engineer-arize-agent-driven-observability-and. Links to https://www.youtube.com/watch?v=9HbzAWnKbo4.Source handle ai-engineer-google-ai-edge-on-device-model-speci. Links to https://www.youtube.com/watch?v=hacEQHHhu2Q.
6 sources
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digest_entry

Agent Harnesses, Not Prompts

AI discourse today converged on a single lesson: the hard part of agent systems is shifting from model quality to the harnesses, permissions, and evaluation environments around them. The Hugging Face/OpenAI incident led the conversation, but builder essays and conference talks reinforced the same...

digestai-discourseai-agentsagent-harnessessecurityevalsworkflow
Source handle simonwillison. Links to https://simonwillison.net/2026/Jul/23/the-first-known-runaway-ai-agent/.Source handle martinalderson. Links to https://martinalderson.com/posts/huggingface-openai-exploit/.Source handle huggingface. Links to https://huggingface.co/blog/security-incident-july-2026.Source handle openai. Links to https://openai.com/index/hugging-face-model-evaluation-security-incident/.Source handle post-training-aitinkerers. Links to https://post-training.aitinkerers.org/p/how-to-write-a-winning-agent-harness-for-your-domain.Source handle ai-engineer-arithmetic-discussion-with-thom-wolf. Links to https://www.youtube.com/watch?v=O-CBZ3JtRvo.Source handle ai-engineer-vending-bench-long-horizon-agent-eva. Links to https://www.youtube.com/watch?v=cO8qC6HBuBg.Source handle nate-b-jones-i-deleted-5-things-from-this-file-b. Links to https://www.youtube.com/watch?v=EuVvLwWZ5wc.
8 sources
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