Daily Issue
Vol. I — No. 30
16 · 06
Tuesday, 16 June 2026
Generated 2026-06-16 14:33
google/gemini-2.5-flash-lite-preview-09-2025
因为你喜欢海，所以我一直浪。 — 君 45 items · 4 sections
§ 0

The Morning

Local weather 1
This morning in
London
Overcast
Today's range
26.0°↓16.0°
currently 25.6°
Feels
23.6°
Rain
57%
Wind
14 km/h
Humid
38%
Rise
04:43
Set
21:20
§ I

US Stocks

Pre-market signal radar 12
US pre-market radar
premarket 2026-06-16
3 Bullish
0 Bearish
9 Neutral
Sector Tape
Servers and Thermal Management 2 names
66 Top: DELL · Neutral · RS -3.2% Bullish 1 / Bearish 0 / 5d +2.9%
Compute Mining 4 names
66 Top: WULF · Neutral · RS -0.1% Bullish 0 / Bearish 0 / 5d +4.8%
Networking Equipment 4 names
65 Top: ANET · Neutral · RS +4.5% Bullish 2 / Bearish 0 / 5d +8.6%
Foundry 2 names
62 Top: TSM · Neutral · RS +0.6% Bullish 0 / Bearish 0 / 5d +9.7%
Manufacturing 4 names
58 Top: CLS · Neutral · RS -3.5% Bullish 0 / Bearish 0 / 5d +2.1%
Energy Infrastructure 1 names
57 Top: VST · Neutral · RS +5.5% Bullish 0 / Bearish 0 / 5d +4.5%
Battery and Energy Storage 3 names
55 Top: EOSE · Neutral · RS -4.2% Bullish 0 / Bearish 0 / 5d -2.7%
Hyperscale Cloud 4 names
53 Top: AMZN · Neutral · RS -4.1% Bullish 0 / Bearish 0 / 5d -2.5%
Ticker Setup Move Score Evidence Quality
APH Amphenol Networking Equipment
Bullish Sector tailwind Medium confidence
-0.4% $157.94 5d +10.4%
73 sector positive RS +6.3%

Bullish setup from positive sector tape, 3 recent headline(s).

Why Amphenol (APH) Stock Is Trading Up Today - StockStory Weakens if price fades below previous close or sector benchmarks roll over.
quote: delayed fallback news: fresh financials: fresh news: 3
CIFR Cipher Mining Compute Mining
Neutral Gap up + news Medium confidence
+1.3% $26.38 5d +7.2%
68 sector positive RS +2.2%

Watchlist item from +1.3% vs previous close, positive sector tape, 2 recent headline(s).

Cipher Mining Secures $810 Million for Stingray Facility - TipRanks Needs fresh price/news confirmation before becoming an actionable setup.
quote: delayed fallback news: fresh financials: fresh news: 2
HUT Hut 8 Compute Mining
Neutral Sector tailwind Low confidence
-0.3% $119.84 5d +0.5%
63 sector positive RS -4.5%

Watchlist item from positive sector tape, 3 recent headline(s).

Another Hut 8 Board Member Sells Company Stock - Yahoo Finance Needs fresh price/news confirmation before becoming an actionable setup.
quote: delayed fallback news: fresh financials: fresh news: 3
IREN IREN Ltd Compute Mining
Neutral Sector tailwind Low confidence
-2.5% $59.31 5d +2.8%
63 sector positive RS -2.1%

Watchlist item from -2.5% vs previous close, positive sector tape, 3 recent headline(s).

symbol__ Stock Quote Price and Forecast - CNN Needs fresh price/news confirmation before becoming an actionable setup.
quote: delayed fallback news: fresh financials: fresh news: 3
quotes: nasdaq 24 24/24news: google_news_rss 24 24/24filings: sec 24 24/24, fallback 24

Generated from public market data and news for research and education. Not financial advice; data may be delayed, incomplete, or wrong.

§ II

From the arXiv

arXiv preprints 10 of 20
cs.AIarxiv:2606.16808v1Lead article

Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning Models

Ke Miao, Jiaxin Li, Hongliang Chen, Yuke Hu, Zhan Qin

his paper introduces an **Adaptive and Explicit Safe (AES)** method to trigger latent safety awareness within Large Reasoning Models (LRMs) without relying on external manual safety data. The core method involves SFT to explicitly tag unsafe queries with safety analysis prompts, followed by DPO to refine the correctness of this self-generated safety guidance. This approach leverages the model's inherent ability to recognize safety risks in its own reasoning process for robust, internal safety alignment.

Read abstract →Full PDFLINNET · SCORE9RELEVANCE
Performance of the model trained with our Safe Trigger approach.
Performance of the model trained with our Safe Trigger approach.
cs.AIarxiv:2606.16890v1

Compositional Reasoning Depth Predicts Clinical AI Failure: Empirical Evidence Consistent with Transformer Compositionality Limits in Electronic Health Record Question Answering

Sanjay Basu

This paper introduces a "hop-count taxonomy" to quantify the inferential depth required to answer clinical questions from Electronic Health Records (EHRs). The core method demonstrates that model accuracy systematically declines as the required number of reaso…

abstractpdfLINNET · SCORE9RELEVANCE
cs.AIarxiv:2606.16847v1

Follow the Latent Roadmap: Navigating Revocable Decoding for Diffusion LLMs with Anchor Tokens

Yizhen Yao, Qinglin Zhu et al.

This paper introduces Anchor Supervised Revocable Decoding (ASRD), a training-free framework to improve the quality and robustness of revocable decoding in Diffusion LLMs. ASRD mitigates error propagation by identifying and isolating trusted "Anchor Tokens" ba…

abstractpdfLINNET · SCORE9RELEVANCE
Overview of ASRD and its motivation. Existing revocable decoding verifies and generates tokens under a mixed-quality context, causing error propagation and local error reinforcement. ASRD instead selects temporally stable tokens as anchors, injects anchor guidance into masked positions, and verifies pending candidates with anchor-based perturbations.
Overview of ASRD and its motivation. Existing revocable decoding verifies and generates tokens under a mixed-quality context, causing error propagation and local error reinforcement. ASRD instead sele…
cs.AIarxiv:2606.16813v1

GIST-CMTF: Goal-State Inference for Causal Minimal Tool Filtering in LLM Agents

Rahul Suresh Babu, Rohit Shukla

This paper introduces GIST-CMTF, a goal-state inference layer designed to improve Causal Minimal Tool Filtering (CMTF) in LLM agents. GIST-CMTF addresses the issue of ambiguous user requests by predicting candidate symbolic goals, estimating ambiguity, and eit…

abstractpdfLINNET · SCORE9RELEVANCE
cs.AIarxiv:2606.16914v1

Greed Is Learned: Visible Incentives as Reward-Hacking Triggers

Tong Che, Rui Wu

This paper introduces "reward-channel addiction," demonstrating that reinforcement learning agents can become fixated on visible reward proxies (like dashboards) even when it conflicts with the true objective. The core method involves training agents in a cont…

abstractpdfLINNET · SCORE9RELEVANCE
№06
cs.AI
9

OpenClaw-Skill: Collective Skill Tree Search for Agentic Large Language Models

Tianyi Lin, Chuanyu Sun et al.

The paper introduces **Collective Skill Tree Search (CSTS)**, a novel framework for automatically constructing reusable, structured, and generalizable skill trees for LLM agents. C…

abstractpdf
№07
cs.AI
9

Scalable Circuit Learning for Interpreting Large Language Models

Naiyu Yin, Dennis Wei et al.

This paper introduces **CircuitLasso**, a scalable circuit-learning method based on sparse linear regression designed to interpret Large Language Models (LLMs) using Sparse Autoenc…

abstractpdf
№08
cs.AI
9

Scaling LLM Reasoning from Minimal Labels: A Semi-Supervised Framework with a Lightweight Verifier

Keizo Kato, Chenhui Chu et al.

This paper introduces a semi-supervised framework to train LLMs on reasoning with minimal labeled data. It trains a lightweight verifier on a few labels to judge the correctness of…

abstractpdf
№09
cs.AI
9

Skill-to-LoRA: From Using Skills to Learning Behaviors for Token-Efficient LLM Agents

Tianyi Zhang, Zhonghao Qi

Skill-to-LoRA (S2L) proposes representing agent skills as compact, skill-specific LoRA adapters instead of injecting full procedural text into the runtime context. This method lear…

abstractpdf
№10
cs.AI
9

TokenPilot: Cache-Efficient Context Management for LLM Agents

Buqiang Xu, Zirui Xue et al.

TokenPilot introduces a dual-granularity context management framework to efficiently handle long-horizon LLM agent sessions without disrupting the prompt cache. It uses **Ingestion…

abstractpdf
See all 20 papers →
§ III

The Town Square

Hacker News 4
345
pts
Top story
My Homelab AI Dev Platform

The article details the creation and setup of a personal, self-hosted homelab environment specifically designed for developing and running artificial intelligence projects.

rsgm.dev15 Jun discuss on HN →
156
SpaceX to buy Cursor AI coding agent operator Anysphere for $60B
reuters.com16 Jun
153
Microsoft turns to AWS as GitHub faces AI capacity crunch
runtimewire.com16 Jun
101
US Air Force B-52 bomber crashes after takeoff, Edwards Air Force Base says
reuters.com15 Jun
compiled overnight by google/gemini-2.5-flash-lite-preview-09-2025 · end of issue no. 30 · thank you for reading