Foresight and advisory intelligence · MJ

What is becoming true.
What to advise.

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): 23 Sep, 15:05 Beirut
Packet generated 23 Sep, 15:05 Beirut
Page built 23 September 2026, 15:05 Beirut
1do now
3open decisions
12signals in view
12precursors
72sources tracked
7stale · 7 errors
Labs, models & tooling30/34 live
88%
Research13/13 live
100%
Expert intelligence6/6 live
100%
Policy, capital & adoption14/17 live
82%
Talent2/2 live
100%
Grok / X precursor scoutLatest attempt 19 Sep, 10:03 Beirut

SCOUT FAILED — The scout did not produce a complete, valid result.

Coverage unverified · 16 configured accounts · 10 configured searches.
Collection gaps requiring attention
Source cadence and retrieval status
SourceCadenceLast successNext dueCurrent state
OpenAI official news30 min23 Sep, 15:0523 Sep, 15:35ok
Anthropic official news30 min23 Sep, 15:0523 Sep, 15:35ok
Google DeepMind official blog30 min23 Sep, 15:0523 Sep, 15:35ok
Google Research blog30 min23 Sep, 15:0523 Sep, 15:35ok
Hugging Face blog120 min23 Sep, 13:3323 Sep, 15:33unchanged
NVIDIA technical blog120 min23 Sep, 13:3323 Sep, 15:33unchanged
arXiv AI preprints1440 min23 Sep, 04:1024 Sep, 04:10ok
arXiv robotics preprints1440 min23 Sep, 04:1024 Sep, 04:10ok
arXiv machine learning preprints1440 min23 Sep, 04:1024 Sep, 04:10ok
vLLM releases60 min23 Sep, 15:0523 Sep, 16:05unchanged
llama.cpp releases60 min23 Sep, 15:0523 Sep, 16:05ok
Transformers releases60 min23 Sep, 15:0523 Sep, 16:05ok
SGLang releases60 min23 Sep, 15:0523 Sep, 16:05unchanged
Qwen model repositories60 min23 Sep, 15:0523 Sep, 16:05ok
deepseek-ai model repositories60 min23 Sep, 15:0523 Sep, 16:05ok
meta-llama model repositories60 min23 Sep, 15:0523 Sep, 16:05ok
Epoch AI — Gradient Updates120 min23 Sep, 13:3323 Sep, 15:33ok
METR research120 min23 Sep, 13:3323 Sep, 15:33unchanged
The Innermost Loop30 min23 Sep, 15:0523 Sep, 15:35unchanged
Moonshots with Peter Diamandis30 min23 Sep, 15:0523 Sep, 15:35unchanged
Jack Clark — Import AI180 min23 Sep, 13:0223 Sep, 16:02ok
arXiv computational linguistics preprints1440 min23 Sep, 04:1024 Sep, 04:10ok
arXiv computer vision preprints1440 min23 Sep, 04:1024 Sep, 04:10ok
arXiv quantitative biology preprints1440 min23 Sep, 04:1024 Sep, 04:10ok
Hugging Face papers1440 min23 Sep, 04:1024 Sep, 04:10ok
Hugging Face recent model repositories60 min23 Sep, 15:0523 Sep, 16:05ok
Hugging Face recent dataset repositories120 min23 Sep, 13:3323 Sep, 15:33ok
GitHub trending repositories1440 min23 Sep, 04:1024 Sep, 04:10ok
GitHub trending Python repositories1440 min23 Sep, 04:1024 Sep, 04:10ok
GitHub trending Jupyter repositories1440 min23 Sep, 04:1024 Sep, 04:10ok
OpenRouter newest model listings1440 min23 Sep, 04:1024 Sep, 04:10ok
SWE-bench leaderboard10080 min23 Sep, 04:1030 Sep, 04:10unchanged
Product Hunt AI launches1440 min19 Sep, 09:4624 Sep, 04:10error · stale
SEC latest EDGAR filings1440 min23 Sep, 04:1024 Sep, 04:10ok
ARPA-E funding opportunities10080 min23 Sep, 04:1030 Sep, 04:10ok
ARPA-H funding opportunities10080 min23 Sep, 04:1030 Sep, 04:10ok
DARPA opportunities10080 min23 Sep, 04:1030 Sep, 04:10ok
FDA press announcements10080 min23 Sep, 04:1030 Sep, 04:10ok
NIST AI publications10080 min23 Sep, 04:1030 Sep, 04:10ok
LessWrong latest posts1440 min23 Sep, 04:1024 Sep, 04:10ok
Hacker News newest1440 min23 Sep, 04:1024 Sep, 04:10ok
Alignment Forum latest posts1440 min23 Sep, 04:1024 Sep, 04:10ok
Anthropic careers10080 min23 Sep, 04:1030 Sep, 04:10ok
Google DeepMind careers10080 min23 Sep, 04:1030 Sep, 04:10ok
GitHub topic artificial intelligence1440 min23 Sep, 04:1024 Sep, 04:10ok
GitHub topic agents1440 min23 Sep, 04:1024 Sep, 04:10ok
GitHub topic robotics1440 min23 Sep, 04:1024 Sep, 04:10ok
Hugging Face trending Spaces1440 min23 Sep, 04:1024 Sep, 04:10ok
OpenRouter monthly rankings10080 min23 Sep, 04:1030 Sep, 04:10ok
Artificial Analysis models10080 min23 Sep, 04:1030 Sep, 04:10ok
FDA AI/ML-enabled medical devices1440 min23 Sep, 04:1024 Sep, 04:10ok
NIST AI Resource Center1440 min23 Sep, 04:1024 Sep, 04:10ok
EU AI Office10080 min23 Sep, 04:1030 Sep, 04:10ok
Defense Innovation Unit open solicitations10080 min23 Sep, 04:1030 Sep, 04:10ok
DOE EERE funding opportunities10080 min23 Sep, 04:1130 Sep, 04:11ok
AI Engineer events10080 min23 Sep, 04:1030 Sep, 04:10ok
Foresight Institute events10080 min23 Sep, 04:1130 Sep, 04:11ok
Copenhagen Institute for Futures Studies10080 min23 Sep, 04:1130 Sep, 04:11ok
SynBioBeta10080 min23 Sep, 04:1130 Sep, 04:11ok
NeurIPS program site10080 min23 Sep, 04:1130 Sep, 04:11ok
ICML program site10080 min23 Sep, 04:1130 Sep, 04:11ok
ICLR program site10080 min23 Sep, 04:1130 Sep, 04:11ok
bioRxiv AI-relevant biology preprints720 min20 Sep, 09:2923 Sep, 16:11error · stale
medRxiv computational and clinical preprints720 min20 Sep, 09:2923 Sep, 16:11error · stale
ClinicalTrials.gov AI studies1440 minUnknown24 Sep, 04:11error · stale
GitHub trending developers1440 min23 Sep, 04:1124 Sep, 04:11ok
Federal Register — artificial intelligence30 min23 Sep, 15:0523 Sep, 15:35ok
Federal Register — compute, data centers and energy30 min23 Sep, 15:0523 Sep, 15:35ok
Federal Register — biotechnology and clinical AI60 min23 Sep, 15:0523 Sep, 16:05ok
Congress — frontier technology bills and actions60 minUnknown23 Sep, 20:11error · stale
Regulations.gov — AI documents and comment deadlines60 minUnknown23 Sep, 20:11error · stale
SAM.gov — AI procurement notices1440 minUnknown24 Sep, 04:11error · stale

Early observations

Unverified candidates for review. Ranking is a heuristic, not confidence or probability.

PRECURSOR23 Sep, 04:11

Data Intermediaries and Approaches To Strengthen Public Health Data Exchange

{ "abstract": "The Centers for Disease Control and Prevention (CDC) seeks broad public input on how data intermediaries can be used to support secure, scalable, standards-based public health data exchange. CDC invites public comment to inform the evaluation and to explore how data intermediaries can advance broader goals…

capabilityconstraintspolicy
Federal Register document metadata and abstract; underlying action requires review
PRECURSOR23 Sep, 04:10

Incorporating LLM Embeddings for Variation Across the Human Genome

arXiv:2509.20702v3 Announce Type: replace-cross Abstract: Recent advances in large language model (LLM) embeddings have enabled powerful representations for biological data, but most applications to date focus on gene-level information. We present one of the first systematic frameworks to generate genetic variant-level…

capabilitydeploymentconstraintspolicy
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

Connected Content Retriever: Dense Graph Edge Features Powering Pre-Ranking at LinkedIn

arXiv:2609.22441v1 Announce Type: new Abstract: In large-scale recommendation systems like the LinkedIn Feed, content generated by a member's network (connections and follows) makes up over 70% of impressions and engagement. It is therefore essential that the pre-ranking layer forwards the best possible few hundred…

capabilitydeploymentconstraintspolicy
preprint; not peer reviewed
PRECURSOR23 Sep, 04:11

Nonclinical Testing Terminology

{ "abstract": "The Food and Drug Administration (FDA, Agency, or we) is issuing a direct final rule that substitutes references to \"animal\" tests or studies with \"nonclinical\" tests or studies, adds a definition of the terms \"nonclinical test\" and \"nonclinical study,\" and makes other comparable or conforming…

constraintspolicy
Federal Register document metadata and abstract; underlying action requires review
PRECURSOR23 Sep, 04:11

Nonclinical Testing Terminology

{ "abstract": "The Food and Drug Administration (FDA, Agency, or we) is proposing to substitute references to \"animal\" tests or studies with \"nonclinical\" tests or studies, add a definition of the terms \"nonclinical test\" and \"nonclinical study,\" and make other comparable or conforming amendments in certain safety…

constraintspolicy
Federal Register document metadata and abstract; underlying action requires review
PRECURSOR23 Sep, 04:10

Introducing Opus 5.5: Anthropic Linkpost

https://www.anthropic.com/claude-opus-5-5 It's a sizeable upgrade: Also, the first model in which they say this: Pacing the frontier Last week, our CEO, Dario Amodei, argued that AI progress should be paced so that safety practices stay ahead of model capabilities. Pacing is an approach to keeping AI safe, remaining…

capabilitydeploymentconstraints
community post; claims unverified
PRECURSOR23 Sep, 04:10

ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning

arXiv:2609.22323v1 Announce Type: new Abstract: Few-shot learning research is predominantly evaluated on accuracy alone, with limited attention to the parameter and training-sample budgets required to reach that accuracy - a real constraint for practitioners without large-scale compute. We present an ultra-lightweight…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

Event-Frame Fusion for Inter-Frame Segmentation via Event-Guided Motion

arXiv:2609.22500v1 Announce Type: new Abstract: Autonomous navigation requires precise and efficient semantic segmentation, yet existing frame-based approaches remain limited by motion blur, glare, latency, and the low temporal resolution (20-30 FPS) of conventional cameras, which leads to information loss between frames.…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

C$^{2}$-INR: Customized Convolutional Implicit Neural Representation

arXiv:2609.22807v1 Announce Type: new Abstract: Implicit Neural Representation (INR) leverages neural networks to represent discrete signals such as images as continuous ones, where the network weights serve as a compact form of the signal itself. Most existing INR methods adopt Multi-Layer Perceptrons (MLPs) as their…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

LiteTex-GS: Fast and Lightweight Texturing for Gaussian Splatting

arXiv:2609.23380v1 Announce Type: new Abstract: Gaussian Splatting has enabled real-time novel view synthesis, but its tightly coupled geometry and appearance representation often require a large number of primitives to reproduce high-frequency texture details, leading to substantial memory and optimization costs. Recent…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR17 Sep, 16:24

OpenRouter model listing: DeepSeek: DeepSeek Pro Latest

{"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

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.
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.
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.

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.
What would change this judgment?

The affected mul_mm_id path was not used by our model or backend configuration.

Maintainer release · reproducible locallyProduction-impacting patchDue: 2026-09-19Source ↗
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.
What would change this judgment?

A reproducible task test shows enough accuracy gain to offset the reported memory and decode costs.

Maintainer measurement · independent test missingArchitecture economicsDue: 2026-09-24Source ↗
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.
What would change this judgment?

A dated operational deployment exposes customer access and independently measured performance per watt.

Vendor claim · deployment unverifiedInfrastructure precursorDue: 2026-10-01Source ↗

Lead / lag scoreboard

40 matched items. Baseline discoveries are shown but never claimed as wins.

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.

BASELINE — NOT A WIN29h ahead

Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher

Compared with Welcome to September 15, 2026. The item entered during initial collection, so its timestamp cannot prove an early alert.

VERIFIED LEAD8h ahead

Our framework for reporting model misalignment

Compared with Welcome to September 17, 2026. Prospective timing is measurable.

Signal stream

2 repository-metadata pings suppressed; visible items require substantive evidence.

PRECURSOR23 Sep, 04:10

Incorporating LLM Embeddings for Variation Across the Human Genome

arXiv:2509.20702v3 Announce Type: replace-cross Abstract: Recent advances in large language model (LLM) embeddings have enabled powerful representations for biological data, but most applications to date focus on gene-level information. We present one of the first systematic frameworks to generate genetic variant-level…

capabilitydeploymentconstraintspolicy
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

Connected Content Retriever: Dense Graph Edge Features Powering Pre-Ranking at LinkedIn

arXiv:2609.22441v1 Announce Type: new Abstract: In large-scale recommendation systems like the LinkedIn Feed, content generated by a member's network (connections and follows) makes up over 70% of impressions and engagement. It is therefore essential that the pre-ranking layer forwards the best possible few hundred…

capabilitydeploymentconstraintspolicy
preprint; not peer reviewed
PRECURSOR23 Sep, 04:11

Data Intermediaries and Approaches To Strengthen Public Health Data Exchange

{ "abstract": "The Centers for Disease Control and Prevention (CDC) seeks broad public input on how data intermediaries can be used to support secure, scalable, standards-based public health data exchange. CDC invites public comment to inform the evaluation and to explore how data intermediaries can advance broader goals…

capabilityconstraintspolicy
Federal Register document metadata and abstract; underlying action requires review
PRECURSOR23 Sep, 04:10

Introducing Opus 5.5: Anthropic Linkpost

https://www.anthropic.com/claude-opus-5-5 It's a sizeable upgrade: Also, the first model in which they say this: Pacing the frontier Last week, our CEO, Dario Amodei, argued that AI progress should be paced so that safety practices stay ahead of model capabilities. Pacing is an approach to keeping AI safe, remaining…

capabilitydeploymentconstraints
community post; claims unverified
PRECURSOR23 Sep, 04:10

ALPINE: Adaptive Localization for Parameter- and Sample-Efficient Few-Shot Learning

arXiv:2609.22323v1 Announce Type: new Abstract: Few-shot learning research is predominantly evaluated on accuracy alone, with limited attention to the parameter and training-sample budgets required to reach that accuracy - a real constraint for practitioners without large-scale compute. We present an ultra-lightweight…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

Event-Frame Fusion for Inter-Frame Segmentation via Event-Guided Motion

arXiv:2609.22500v1 Announce Type: new Abstract: Autonomous navigation requires precise and efficient semantic segmentation, yet existing frame-based approaches remain limited by motion blur, glare, latency, and the low temporal resolution (20-30 FPS) of conventional cameras, which leads to information loss between frames.…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

C$^{2}$-INR: Customized Convolutional Implicit Neural Representation

arXiv:2609.22807v1 Announce Type: new Abstract: Implicit Neural Representation (INR) leverages neural networks to represent discrete signals such as images as continuous ones, where the network weights serve as a compact form of the signal itself. Most existing INR methods adopt Multi-Layer Perceptrons (MLPs) as their…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

LiteTex-GS: Fast and Lightweight Texturing for Gaussian Splatting

arXiv:2609.23380v1 Announce Type: new Abstract: Gaussian Splatting has enabled real-time novel view synthesis, but its tightly coupled geometry and appearance representation often require a large number of primitives to reproduce high-frequency texture details, leading to substantial memory and optimization costs. Recent…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

Recognition, Simulation, and Refusal: A Contamination-Aware Study of Classic Psychological Effects in LLM Agents

arXiv:2609.22090v1 Announce Type: new Abstract: An LLM producing the response pattern associated with a human psychological effect is not the same claim as the LLM possessing that bias. We present PsyAgentBench, a benchmark that re-runs classic psychology experiments on LLM agents under a factorial design built to separate…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

Memory That Looks Forward: A Zero-Inference Prospective Term for Personal Memory Retrieval

arXiv:2609.22091v1 Announce Type: new Abstract: Retrieval over a personal memory store is retrospective: it surfaces what resembles the query, and it is blind to what the user has committed to do. We describe a prospective term for memory retrieval that costs no inference at query time. Commitments are held in an explicit…

capabilitydeploymentconstraints
preprint; not peer reviewed
PRECURSOR23 Sep, 04:10

Evaluating Fine-Tuned and Base Language Models in Maternal and Vaccination Healthcare for African Settings

arXiv:2609.22110v1 Announce Type: new Abstract: Background: Large language models (LLMs) can improve healthcare information delivery in low-resource settings but may produce inaccurate or culturally inappropriate advice. This study evaluated domain-specific fine-tuning for maternal health and vaccination in Nigeria.…

capabilitydeploymentconstraints
preprint; not peer reviewed

Hypothesis register

Amber means the prerequisite still lacks reviewed evidence.

agent-reliability3 days overdue

When can agents complete our multi-step work with fewer interventions?

  • Reliable extended task completion3 reviewed
  • Lower human correction time1 reviewed
  • Independent task reproduction0 reviewed
open-model-economics3 days overdue

When do deployable open models become viable for our private workflows?

  • Usable license and released weights0 reviewed
  • Fits available memory1 reviewed
  • Acceptable quality at fully loaded cost0 reviewed
gcc-compute-bottlenecks3 days overdue

Does announced sovereign compute translate into usable capacity?

  • Delivered equipment0 reviewed
  • Commissioned power1 reviewed
  • Accessible operational service0 reviewed
research-automation3 days overdue

Which scientific workflows now produce independently validated results?

  • Reliable execution0 reviewed
  • Affordable validated result0 reviewed
  • Experimental access1 reviewed
  • Independent scientific validation0 reviewed
  • Repeat adoption0 reviewed
eval-credibility3 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

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.