Signals are promoted only when they change a judgment, strengthen a convergence, or create a time-sensitive advisory move.
Most recent successful retrieval (partial coverage): 28 Sep, 09:17 Beirut Packet generated 28 Sep, 09:17 Beirut Page built 28 September 2026, 09:17 Beirut
1do now
8open decisions
12signals in view
7precursors
72sources tracked
4stale · 4 errors
Today
Recent source-dated developments; a signal alone does not change advice
PUBLISHED28 Sep, 08:16
Model repository: Riyan200324200324/Wan2.1-I2V-14B-480P-gguf
repository metadata; new capability unverified
Repository metadata changed; not evidence of a new model capability. Revision: d0488456e50c88ac6d16f96da82616e8bdd5563c
Why you may careThis may indicate a capability change; a headline alone does not establish reliability or useful task completion.
Next checkCheck the measured outcome, comparison, limits, and whether it applies to a decision you own. Until then, treat it as a lead.
PUBLISHED28 Sep, 08:16
Model repository: Malar22/itantra-models
repository metadata; new capability unverified
Repository metadata changed; not evidence of a new model capability. Revision: 918f79fddbce9bbf523418584fcd2bec80e2456a
Why you may careThis may indicate a capability change; a headline alone does not establish reliability or useful task completion.
Next checkCheck the measured outcome, comparison, limits, and whether it applies to a decision you own. Until then, treat it as a lead.
PUBLISHED28 Sep, 08:16
Model repository: Riyan200324200324/Wan2.1-I2V-14B-720P-gguf
repository metadata; new capability unverified
Repository metadata changed; not evidence of a new model capability. Revision: 8e28eb07a979e87e1b202e2f12c59180f8071c7e
Why you may careThis may indicate a capability change; a headline alone does not establish reliability or useful task completion.
Next checkCheck the measured outcome, comparison, limits, and whether it applies to a decision you own. Until then, treat it as a lead.
WATCHDECISION PROPOSED
Watch Ollaya as a possible local open-weight decision-model option; do not change production routing on vendor-reported results.
The project's first-party page describes open-weight decision models and an Apache-2.0 runtime, with its own typed-decision accuracy and latency figures. The source confirms publication of these claims, not independent performance.
Say this to MJ agent workflows and USEK research automationConsider one bounded task-matched local comparison only after confirming model-specific weight licensing and feasible hardware requirements.
Next moveCheck model-specific weight license and memory requirements, then compare one representative fixed task locally against its current baseline, recording accuracy, latency, interventions, and fully loaded cost.
What would change this judgment?
Model-specific license is unsuitable, local memory/latency is infeasible, or the representative-task comparison shows unacceptable quality or no cost benefit.
Labs, models & tooling33/34 live
97%
Research13/13 live
100%
Expert intelligence6/6 live
100%
Policy, capital & adoption14/17 live
82%
Talent2/2 live
100%
Grok / X precursor scoutLatest attempt 24 Sep, 10:53 Beirut
ClinicalTrials.gov AI studies: Client error '403 Forbidden' for url 'https://clinicaltrials.gov/api/v2/studies?query.term=artificial%20intelligence%20OR%20machine%20learning&pageSize=100&format=json'
For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/403
Congress — frontier technology bills and actions: credential required: CONGRESS_API_KEY
Regulations.gov — AI documents and comment deadlines: credential required: REGULATIONS_API_KEY
SAM.gov — AI procurement notices: credential required: SAM_API_KEY
Source cadence and retrieval status
Source
Cadence
Last success
Next due
Current state
OpenAI official news
30 min
28 Sep, 08:46
28 Sep, 09:16
ok
Anthropic official news
30 min
28 Sep, 08:46
28 Sep, 09:16
ok
Google DeepMind official blog
30 min
28 Sep, 08:46
28 Sep, 09:16
ok
Google Research blog
30 min
28 Sep, 08:46
28 Sep, 09:16
ok
Hugging Face blog
120 min
28 Sep, 08:16
28 Sep, 10:16
unchanged
NVIDIA technical blog
120 min
28 Sep, 08:16
28 Sep, 10:16
ok
arXiv AI preprints
360 min
28 Sep, 05:46
28 Sep, 11:46
empty
arXiv robotics preprints
360 min
28 Sep, 05:46
28 Sep, 11:46
empty
arXiv machine learning preprints
360 min
28 Sep, 05:46
28 Sep, 11:46
empty
vLLM releases
60 min
28 Sep, 09:17
28 Sep, 10:17
unchanged
llama.cpp releases
60 min
28 Sep, 09:17
28 Sep, 10:17
unchanged
Transformers releases
60 min
28 Sep, 08:47
28 Sep, 09:47
ok
SGLang releases
60 min
28 Sep, 08:16
28 Sep, 09:16
unchanged
Qwen model repositories
60 min
28 Sep, 09:16
28 Sep, 10:16
ok
deepseek-ai model repositories
60 min
28 Sep, 09:16
28 Sep, 10:16
ok
meta-llama model repositories
60 min
28 Sep, 09:16
28 Sep, 10:16
ok
Epoch AI — Gradient Updates
120 min
28 Sep, 08:16
28 Sep, 10:16
ok
METR research
120 min
28 Sep, 08:16
28 Sep, 10:16
ok
The Innermost Loop
30 min
28 Sep, 08:46
28 Sep, 09:16
ok
Moonshots with Peter Diamandis
30 min
28 Sep, 08:47
28 Sep, 09:17
unchanged
Jack Clark — Import AI
180 min
28 Sep, 09:17
28 Sep, 12:17
ok
arXiv computational linguistics preprints
360 min
28 Sep, 05:46
28 Sep, 11:46
empty
arXiv computer vision preprints
360 min
28 Sep, 05:46
28 Sep, 11:46
empty
arXiv quantitative biology preprints
360 min
28 Sep, 05:46
28 Sep, 11:46
empty
Hugging Face papers
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
Hugging Face recent model repositories
60 min
28 Sep, 08:16
28 Sep, 09:16
ok
Hugging Face recent dataset repositories
120 min
28 Sep, 08:16
28 Sep, 10:16
ok
GitHub trending repositories
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
GitHub trending Python repositories
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
GitHub trending Jupyter repositories
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
OpenRouter newest model listings
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
SWE-bench leaderboard
360 min
28 Sep, 05:46
28 Sep, 11:46
unchanged
Product Hunt AI launches
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
SEC latest EDGAR filings
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
ARPA-E funding opportunities
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
ARPA-H funding opportunities
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
DARPA opportunities
360 min
28 Sep, 05:46
28 Sep, 11:46
unchanged
FDA press announcements
360 min
28 Sep, 05:46
28 Sep, 11:46
ok
NIST AI publications
360 min
28 Sep, 05:46
28 Sep, 11:46
unchanged
LessWrong latest posts
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Hacker News newest
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Alignment Forum latest posts
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Anthropic careers
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Google DeepMind careers
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
GitHub topic artificial intelligence
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
GitHub topic agents
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
GitHub topic robotics
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Hugging Face trending Spaces
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
OpenRouter monthly rankings
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Artificial Analysis models
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
FDA AI/ML-enabled medical devices
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
NIST AI Resource Center
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
EU AI Office
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Defense Innovation Unit open solicitations
360 min
28 Sep, 05:47
28 Sep, 11:47
unchanged
DOE EERE funding opportunities
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
AI Engineer events
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Foresight Institute events
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Copenhagen Institute for Futures Studies
360 min
28 Sep, 05:47
28 Sep, 11:47
unchanged
SynBioBeta
360 min
28 Sep, 05:47
28 Sep, 11:47
unchanged
NeurIPS program site
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
ICML program site
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
ICLR program site
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
bioRxiv AI-relevant biology preprints
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
medRxiv computational and clinical preprints
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
ClinicalTrials.gov AI studies
360 min
Unknown
28 Sep, 21:47
error · stale
GitHub trending developers
360 min
28 Sep, 05:47
28 Sep, 11:47
ok
Federal Register — artificial intelligence
30 min
28 Sep, 08:47
28 Sep, 09:17
ok
Federal Register — compute, data centers and energy
30 min
28 Sep, 08:47
28 Sep, 09:17
ok
Federal Register — biotechnology and clinical AI
60 min
28 Sep, 08:47
28 Sep, 09:47
ok
Congress — frontier technology bills and actions
60 min
Unknown
28 Sep, 21:47
error · stale
Regulations.gov — AI documents and comment deadlines
60 min
Unknown
28 Sep, 21:47
error · stale
SAM.gov — AI procurement notices
360 min
Unknown
28 Sep, 21:47
error · stale
Early observations
Unverified candidates for review. Ranking is a heuristic, not confidence or probability.
AI systems are increasingly capable of substantial work. I'm old enough to remember 2025, when METR's time-horizon graph climbed from seven-minute tasks at 80% reliability at the start of the year to tasks taking more than an hour by the end. The time horizons for Astra and Fable 5.1 are now so long that METR's current task…
{"id": "~deepseek/deepseek-pro-latest", "name": "DeepSeek: DeepSeek Pro Latest", "description": "This model always redirects to the latest model in the DeepSeek Pro family.", "context_length": 1048576, "architecture": {"modality": "text->text", "input_modalities": ["text"], "output_modalities": ["text"], "tokenizer":…
capabilitydeployment
model listing metadata; capabilities/pricing require verification
BackgroundPatient education is critical to safe and effective postoperative bariatric surgery care. Large language models (LLMs) may improve access to personalized patient education but evidence regarding direct patient use in clinical settings remains limited. We evaluated BariBot, an LLM-powered educational application for…
capabilityconstraints
medRxiv preprint; not peer reviewed and not clinical advice
Deciphering the functions of post-translational modifications (PTMs) is a critical bridge connecting large-scale modification proteomics data to mechanistic studies. However, most existing tools for visualizing PTM omics data are limited to site catalogs or single-dimensional feature displays. They lack the capability to…
capabilityconstraintspolicy
bioRxiv preprint; not peer reviewed or clinically validated
When it comes to making things, or doing most things in general, Fable 5.1 and especially GPT-6 Astra raised my ambition level. They should have raised yours, too. Claude Opus 5.5 should raise your ambition levels again. It just works, and it persists, like Astra does. It does the things. And it is highly pleasant to talk…
Radiology AI has made remarkable strides in detecting abnormalities across chest X-rays, pathology slides, and 2D scans. Yet one of the most clinically rich and... Radiology AI has made remarkable strides in detecting abnormalities across chest X-rays, pathology slides, and 2D scans. Yet one of the most clinically rich and…
capabilityconstraints
source-confirmed publication; claims unverified
Reviewed developments
Proposed decisions, not executed actions. Breakthrough verification is not yet established.
DECISION PROPOSED · 17 Sep, 08:20
Upgrade llama.cpp before the next Apple Silicon MoE evaluation.
Decision rationale; primary evidence not yet reviewed.
Recorded rationaleThe release fixes a Metal path that can turn large activations into NaNs. Any earlier MoE result on that path may be unreliable.
Reviewed evidenceDecision rationale; primary evidence not yet reviewed.
DECISION PROPOSED · 17 Sep, 08:20
Do not adopt Mimir 1B from parameter count alone.
Decision rationale; primary evidence not yet reviewed.
Recorded rationalellama.cpp reports roughly four times the decode work of an equal-width dense model and about 3 GB of F16 KV cache at 4K context.
Reviewed evidenceDecision rationale; primary evidence not yet reviewed.
DECISION PROPOSED · 17 Sep, 08:20
Treat Groq 3 LPX power-efficiency claims as a future infrastructure signal, not available GCC capacity.
Decision rationale; primary evidence not yet reviewed.
Recorded rationaleThe vendor framing strengthens the case that power per useful token is the bottleneck, but it provides no dated GCC commissioning or customer-access evidence.
Reviewed evidenceDecision rationale; primary evidence not yet reviewed.
Decision queue
Every item has a next move and a condition that can overturn it.
DO NOWDECISION PROPOSED
Upgrade llama.cpp before the next Apple Silicon MoE evaluation.
The release fixes a Metal path that can turn large activations into NaNs. Any earlier MoE result on that path may be unreliable.
Say this to AI implementation teams running local modelsPause comparisons made on the affected Apple Silicon path. Re-run one representative task on the fixed build before treating earlier quality or latency results as decision-grade.
Next movePin a build at or after b10994, rerun one representative MoE prompt, and compare output plus latency with the previous build.
What would change this judgment?
The affected mul_mm_id path was not used by our model or backend configuration.
WATCHDECISION PROPOSED
Do not adopt Mimir 1B from parameter count alone.
llama.cpp reports roughly four times the decode work of an equal-width dense model and about 3 GB of F16 KV cache at 4K context.
Say this to CIOs and private-AI operatorsA small parameter count is not a low operating cost. Require cost per successful task, memory use and supervision time before choosing this model for private workflows.
Next moveWait for prefix-LM support and an independent cost-per-success result before spending evaluation time.
What would change this judgment?
A reproducible task test shows enough accuracy gain to offset the reported memory and decode costs.
WATCHDECISION PROPOSED
Treat Groq 3 LPX power-efficiency claims as a future infrastructure signal, not available GCC capacity.
The vendor framing strengthens the case that power per useful token is the bottleneck, but it provides no dated GCC commissioning or customer-access evidence.
Say this to GCC sovereign, infrastructure and data-center leadersPlan around power per useful AI outcome and verified access dates. Do not count announced silicon as sovereign capacity until an operating deployment exposes customer access and independent performance data.
Next moveTrack independent watts-per-token and customer-access evidence tied to an operating Vera Rubin deployment.
What would change this judgment?
A dated operational deployment exposes customer access and independently measured performance per watt.
WATCHDECISION PROPOSED
Watch Anthropic ART as a research-automation case; do not treat as a validated application.
The described pipeline links parallel genomic search to candidate triage and human lab testing, but ART function remains unknown and independent validation is absent.
Say this to USEK research and AI workflow advisorsTreat this as a workflow signal: agents can search and rank candidates, while human scientists retain experimental validation. Do not infer a usable biological tool or general autonomous discovery from this case.
Next moveReview the technical report and seek independent replication; measure cost, expert review time, candidate yield and repeatability.
What would change this judgment?
The technical report or independent replication fails to confirm the reported RNA expression or novelty, or comparable searches fail to reproduce the candidate workflow.
WATCHDECISION PROPOSED
Watch Ringg's production pattern; do not treat the customer-story performance figures as independently validated.
OpenAI describes task-based model routing, specialist agents, offline evaluation, staged rollout, live endpoint monitoring and human escalation in a deployed multi-channel service workflow.
Say this to MJ's agent workflows, USEK applied research, and GCC service deploymentsFor an agent deployment, pair task routing and specialist steps with offline evaluation, gradual release, endpoint health checks and clear human handoff. Treat the reported resolution, CSAT and savings figures as vendor/customer claims until independently reproduced.
Next moveAsk for independently measured task mix, resolution denominator, escalation rate, language-specific quality, cost per completed task and post-deployment monitoring evidence.
What would change this judgment?
Independent customer or auditor data shows that completion rates, quality, or cost improvements do not generalize beyond selected workloads or fail to include human handling costs.
WATCHDECISION PROPOSED
Track AnewDDE as a research-automation signal; do not recommend adoption from the preprint claim alone.
A bioRxiv preprint describes an agentic closed-loop drug-discovery workflow connecting structure, affinity, design and experiment selection. It reports 10.7% success for single-digit-nanomolar binders in one nanobody campaign; this remains author-reported evidence.
Say this to USEK research automation and MJ agent workflowsPotentially relevant to a bounded literature or lab-workflow review if methods and data substantiate the claim; no deployment decision yet.
Next moveInspect full methods and results, especially campaign denominator, assay protocol, controls, and availability of data/code.
What would change this judgment?
Full methods fail to support the reported binder yield, the result is not reproducible, or performance depends on a selected campaign that does not generalize.
WATCHDECISION PROPOSED
Use claude-opus-5-5 for approved premium Claude work after confirming the exact provider model ID; evaluate task-level quality, time, and spend before broadening its role.
Anthropic announced Opus 5.5 on Sep 22 and claims 40% lower typical token-billed running cost than Opus 5. The official model page gives the API identifier claude-opus-5-5. Its quality and cost claims remain vendor-reported.
Say this to MJ agent workflows and Claude routingPin claude-opus-5-5 for eligible premium tasks only after checking the active provider supports that exact ID; record outcome and measured usage against a fixed task baseline.
Next moveVerify exact provider model ID and run one bounded representative task comparison against the current Opus baseline, recording quality, elapsed time, token use and billed cost.
What would change this judgment?
Provider does not expose the exact model ID, or a task-matched comparison shows worse quality or no worthwhile end-to-end cost/time benefit.
WATCHDECISION PROPOSED
Watch Ollaya as a possible local open-weight decision-model option; do not change production routing on vendor-reported results.
The project's first-party page describes open-weight decision models and an Apache-2.0 runtime, with its own typed-decision accuracy and latency figures. The source confirms publication of these claims, not independent performance.
Say this to MJ agent workflows and USEK research automationConsider one bounded task-matched local comparison only after confirming model-specific weight licensing and feasible hardware requirements.
Next moveCheck model-specific weight license and memory requirements, then compare one representative fixed task locally against its current baseline, recording accuracy, latency, interventions, and fully loaded cost.
What would change this judgment?
Model-specific license is unsuitable, local memory/latency is infeasible, or the representative-task comparison shows unacceptable quality or no cost benefit.
Lead / lag scoreboard
52 matched items. Baseline discoveries are shown but never claimed as wins.
VERIFIED LEAD80h ahead
Introducing MentalHealthBench
Compared with Welcome to September 27, 2026. Prospective timing is measurable.
VERIFIED LEAD80h ahead
Contrastive Language Models
Compared with Welcome to September 27, 2026. Prospective timing is measurable.
VERIFIED LEAD43h ahead
Introducing Astra for Law
Compared with Welcome to September 20, 2026. Prospective timing is measurable.
VERIFIED LEAD43h ahead
Sep 18, 2026 Announcements Partnering with Accenture on embedded evaluation
Compared with Welcome to September 20, 2026. Prospective timing is measurable.
VERIFIED LEAD43h ahead
Human brain is two separate organs, Stanford Medicine-led research finds
Compared with Welcome to September 20, 2026. Prospective timing is measurable.
VERIFIED LEAD43h ahead
If math is more than proof, we need to better celebrate the rest of it
Compared with Welcome to September 20, 2026. Prospective timing is measurable.
AI systems are increasingly capable of substantial work. I'm old enough to remember 2025, when METR's time-horizon graph climbed from seven-minute tasks at 80% reliability at the start of the year to tasks taking more than an hour by the end. The time horizons for Astra and Fable 5.1 are now so long that METR's current task…
Deciphering the functions of post-translational modifications (PTMs) is a critical bridge connecting large-scale modification proteomics data to mechanistic studies. However, most existing tools for visualizing PTM omics data are limited to site catalogs or single-dimensional feature displays. They lack the capability to…
capabilityconstraintspolicy
bioRxiv preprint; not peer reviewed or clinically validated
When it comes to making things, or doing most things in general, Fable 5.1 and especially GPT-6 Astra raised my ambition level. They should have raised yours, too. Claude Opus 5.5 should raise your ambition levels again. It just works, and it persists, like Astra does. It does the things. And it is highly pleasant to talk…
Aging is characterized by a progressive loss of proteostasis. Transfer RNAs (tRNAs) are essential regulators of translation, yet their dynamics during aging remain poorly understood due to challenges in sequencing highly modified RNAs. Here we present a benchmarked Nanopore direct RNA sequencing (RNA004 chemistry) resource…
capabilitypolicy
bioRxiv preprint; not peer reviewed or clinically validated
Microglial activation is a central component of neuroinflammatory responses in many brain pathologies. Increasing evidence indicates that microglial phenotype is tightly linked to cellular metabolism, with pro-inflammatory activation associated with enhanced glycolytic flux. Lactate, traditionally considered a metabolic…
capabilitydeployment
bioRxiv preprint; not peer reviewed or clinically validated
Summary: Have models write collaborative fiction at each other, optimized for realism, about how the one model would like to behave during the singularity. The other author(s) play the rest of the world, trying to put the model in the kind of difficult situations they might encounter in the course of the real singularity.…
TL;DR In light of recent incidents, securing common AI research use cases needs a small set of building blocks that work together: hardened no-network sandboxes, real-time control monitors, monitoring-lifecycle infrastructure, and automated validation of security properties. Pieces of this exist. Nobody owns hardening them,…
Status : as an AI Safety researcher working with LLMs daily over the last 2 years, I think I found some best practices and synthesized them into a single "Sector workflow" repo to share with others. More detailed confidence levels at the end . Sector was created to avoid very specific failure modes that I'm sure many…
{"id": "~deepseek/deepseek-pro-latest", "name": "DeepSeek: DeepSeek Pro Latest", "description": "This model always redirects to the latest model in the DeepSeek Pro family.", "context_length": 1048576, "architecture": {"modality": "text->text", "input_modalities": ["text"], "output_modalities": ["text"], "tokenizer":…
capabilitydeployment
model listing metadata; capabilities/pricing require verification
{"id": "~deepseek/deepseek-flash-latest", "name": "DeepSeek: DeepSeek Flash Latest", "description": "This model always redirects to the latest model in the DeepSeek Flash family.", "context_length": 1048576, "architecture": {"modality": "text+image->text", "input_modalities": ["text", "image"], "output_modalities": ["text"],…
capabilitydeployment
model listing metadata; capabilities/pricing require verification
Hypothesis register
Amber means the prerequisite still lacks reviewed evidence.
agent-reliability8 days overdue
When can agents complete our multi-step work with fewer interventions?
Reliable extended task completion4 reviewed
Lower human correction time1 reviewed
Independent task reproduction0 reviewed
Next discriminating observationIndependent fixed-task results reporting failures, retries and human minutes
open-model-economics8 days overdue
When do deployable open models become viable for our private workflows?
Usable license and released weights1 reviewed
Fits available memory1 reviewed
Acceptable quality at fully loaded cost0 reviewed
Next discriminating observationA reproducible cost-per-success comparison under our hardware constraints
gcc-compute-bottlenecks8 days overdue
Does announced sovereign compute translate into usable capacity?
Delivered equipment0 reviewed
Commissioned power1 reviewed
Accessible operational service0 reviewed
Next discriminating observationDated commissioning and customer-access evidence, not another capacity pledge
research-automation8 days overdue
Which scientific workflows now produce independently validated results?
Reliable execution0 reviewed
Affordable validated result0 reviewed
Experimental access2 reviewed
Independent scientific validation0 reviewed
Repeat adoption0 reviewed
Next discriminating observationIndependent replication including total cost and expert verification time
eval-credibility8 days overdue
Which frontier capability claims survive independent evaluation and provenance scrutiny?
Evaluator independence disclosed0 reviewed
Task and harness equivalence established0 reviewed
Independent reproduction0 reviewed
Contamination and privileged-access risks addressed0 reviewed
Next discriminating observationA primary evaluation artifact and an independent reproduction using the same task definition
This page is a decision surface, not a feed reader. “Decision proposed” records an advisory recommendation; it does not prove execution. Repeated coverage does not count as independent evidence. Unknown measurements remain unknown. Email inventory is incomplete; this page does not represent a complete account inventory.