Tootfinder

Ah yeah! @…’s horror advent calendar has arrived 🙌
Here’s a little taste from last year..

Ukraine sees its EU membership bid advancing before the end of this year
thanks to “creative solutions” to overcome Hungary’s opposition,
Ukrainian Deputy Prime Minister Taras Kachka told POLITICO.
EU leaders could sign off on opening as many as six negotiating “clusters”
— legal steps on the path to membership in the bloc
— in December as “political momentum” builds
and Hungarian Prime Minister Viktor Orbšn faces growing pressure to remove his veto, he sa…

Ukraine’s EU membership bid set for breakthrough in December, says deputy PM
Taras Kachka believes “creative solutions” will overcome Hungary’s opposition to Kyiv’s joining the EU.

DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction
Jian Chen, Zhenyan Chen, Xuming Hu, Peilin Zhou, Yining Hua, Han Fang, Cissy Hing Yee Choy, Xinmei Ke, Jingfeng Luo, Zixuan Yuan
https://arxiv.org/abs/2509.14507

DeKeyNLU: Enhancing Natural Language to SQL Generation through Task Decomposition and Keyword Extraction
Natural Language to SQL (NL2SQL) provides a new model-centric paradigm that simplifies database access for non-technical users by converting natural language queries into SQL commands. Recent advancements, particularly those integrating Retrieval-Augmented Generation (RAG) and Chain-of-Thought (CoT) reasoning, have made significant strides in enhancing NL2SQL performance. However, challenges such as inaccurate task decomposition and keyword extraction by LLMs remain major bottlenecks, often lea…

Odin: Effective End-to-End SLA Decomposition for 5G/6G Network Slicing via Online Learning
Duo Cheng, Ramanujan K Sheshadri, Ahan Kak, Nakjung Choi, Xingyu Zhou, Bo Ji
https://arxiv.org/abs/2509.13511 …

Odin: Effective End-to-End SLA Decomposition for 5G/6G Network Slicing via Online Learning
Network slicing plays a crucial role in realizing 5G/6G advances, enabling diverse Service Level Agreement (SLA) requirements related to latency, throughput, and reliability. Since network slices are deployed end-to-end (E2E), across multiple domains including access, transport, and core networks, it is essential to efficiently decompose an E2E SLA into domain-level targets, so that each domain can provision adequate resources for the slice. However, decomposing SLAs is highly challenging due t…

S1-MatAgent: A planner driven multi-agent system for material discovery
Xinrui Wang, Chengbo Li, Boxuan Zhang, Jiahui Shi, Nian Ran, Linjing Li, Jianjun Liu, Dajun Zeng
https://arxiv.org/abs/2509.14542

S1-MatAgent: A planner driven multi-agent system for material discovery
The discovery of high-performance materials is crucial for technological advancement. Inverse design using multi-agent systems (MAS) shows great potential for new material discovery. However, current MAS for materials research rely on predefined configurations and tools, limiting their adaptability and scalability. To address these limitations, we developed a planner driven multi-agent system (S1-MatAgent) which adopts a Planner-Executor architecture. Planner automatically decomposes complex ma…

Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
Yifan Liu, Yaokun Liu, Zelin Li, Zhenrui Yue, Gyuseok Lee, Ruichen Yao, Yang Zhang, Dong Wang
https://arxiv.org/abs/2509.10468

Learning Decomposed Contextual Token Representations from Pretrained and Collaborative Signals for Generative Recommendation
Recent advances in generative recommenders adopt a two-stage paradigm: items are first tokenized into semantic IDs using a pretrained tokenizer, and then large language models (LLMs) are trained to generate the next item via sequence-to-sequence modeling. However, these two stages are optimized for different objectives: semantic reconstruction during tokenizer pretraining versus user interaction modeling during recommender training. This objective misalignment leads to two key limitations: (i) …

"Changes to Advent of Code starting this December"
TL;DR: There's going to be fewer days and no global leader board.
https://www.reddit.com/r/adventofcode/comments/1ocwh04/changes_to_advent_of_code_starting_this_decembe…

GIBBSMO PRESENTS
The Beat Farmers
FIRST SAN FRANCISCO SHOW IN 30 YEARS! Tix On Sale This AM!
First #BeatFarmers live gig in SF in 30 Years!
SPECIAL GUESTS:
The Seagulls
THE MAKE OUT ROOM at 22nd & Mission
In #SF SATURDAY DECEMBER 13TH
$30 ADVANCE $35 AT DOOR
DOO…

While China’s older tech pioneers tend to idolize Silicon Valley,
younger founders find their role models in people such as
DeepSeek’s Liang Wenfeng and
Unitree’s Wang Xingxing
— both of whom studied exclusively at Chinese universities and are known to predominantly hire domestic talent.

A December analysis from Citi GPS projected that the world would be populated by 648 million humanlike bots by 2050,
unlocking an enduring production advantage and immen…

The Chinese robots are coming
China is miles ahead in the race to dominate a technology that could define the 21st century.

Climatologist Michael Mann and vaccine expert Peter
say we’re in an
“antiscience superstorm.”
It’s a movement that has upended federal health agencies,
defunded research and weaponized social media and AI
to advance its agenda.
And now, some of the nation’s most vocal antiscience figures are in major positions of power.
We talk to Hotez and Mann about their daily battles against disinformation,
their personal toll and what we can all do to …

Leading Climate and Vaccine Scientists on How to Fight Antiscience | KQED
We talk to Hotez and Mann about their daily battles against disinformation, their personal toll and what we can all do to counter the antiscience threat. Their new book is “Science Under Siege.”