Tootfinder

@… Hard to see how proxy advice is investment advice, especially when the SEC has said you can't pay proxy advisors with soft dollars.

Winnipeg-based Conquest Planning, which uses AI to help financial advisors and other clients make decisions, raised an $80M Series B led by Goldman Sachs (Jon Fingas/BetaKit)
https://betakit.com/conquest-planning-

Conquest Planning raises $110-million Series B to fuel US expansion of its financial management platform | BetaKit
Growth Equity at Goldman Sachs Alternatives led the Winnipeg startup’s latest funding round.

AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling Workloads
Taiyi Wang, Eiko Yoneki
https://arxiv.org/abs/2507.23084 https://arx…

AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling Workloads
Efficiently selecting indexes is fundamental to database performance optimization, particularly for systems handling large-scale analytical workloads. While deep reinforcement learning (DRL) has shown promise in automating index selection through its ability to learn from experience, few works address how these RL-based index advisors can adapt to scaling workloads due to exponentially growing action spaces and heavy trial and error. To address these challenges, we introduce AutoIndexer, a fram…

In the days before the surprise U.S. attack on Iran, Politico reported that
one man in the Defense Department was having an outsized say on Washington’s Iran strategy:
Erik Kurilla, the hawkish U.S. Central Command leader known as “The Gorilla.”
“He’s a big dude, he’s jacked, he’s exactly this ‘lethality’ look they’re going for,” said an anonymous former official.
So long as military advisors “come across as tough and warfighters,”
the source added, Defense S…

Hypermasculinity Is Driving U.S. Foreign Policy
Trump’s approach to Iran shows that America’s crisis of manhood has hit the global stage.

Once I'm settled there (moving early Aug) I'll probably write a blog post about the process and doing it without any lawyers/immigration advisors, etc.

All 17 fired vaccine advisors unite to blast RFK Jr.’s “destabilizing decisions” - Ars Technica
https://arstechnica.com/health/2025/06/all-17-fired-vaccine-advisors-unite-to-blast-rfk-jr-s-destabilizing-decisions/

Anti-vaccine advocate RFK Jr. fires entire CDC panel of vaccine advisors (Beth Mole/Ars Technica)
https://arstechnica.com/health/2025/06/anti-vaccine-advocate-rfk-jr-fires-entire-cdc-panel-of-vaccine-advisors/
http://www.memeorandum.com/250609/p147#a250609p147

Visiting relatives in Sweden, and listening to Swedish TV news about the impact of the cuts to USAID on health services in Liberia.
From my perspective, the #GOP Congress support of #47's action makes them accomplices in premeditated murder.
And 47 & his advisors of murder.
Their policies are causing predictable deaths. The fact that they don't know who will die is irrelev…

Visiting relatives in Sweden, and listening to Swedish TV news about the impact of the cuts to USAID on health services in Liberia.
From my perspective, the #GOP Congress support of #47's action makes them accomplices in premeditated murder.
And 47 & his advisors of murder.
Their policies are causing predictable deaths. The fact that they don't know who will die is irrelev…

Savvy Wealth, a digital wealth management service for financial advisors, raised a $72M Series B led by Industry Ventures, taking its total funding to $100M (Davis Janowski/Wealth Management)
https://www.wealthmanagement.com/ria-news/

Savvy Wealth Raises $72M, Adds Mark Casady to Board of Directors
Savvy Wealth, a technology platform provider to RIAs, announced the closing of a $72 million Series B funding round led by venture capital firm Industry Ventures.

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
Jing Chang, Chang Liu, Jinbin Huang, Rui Mao, Jianbin Qin
https://arxiv.org/abs/2507.13712

LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction
Automated data preparation is crucial for democratizing machine learning, yet existing reinforcement learning (RL) based approaches suffer from inefficient exploration in the vast space of possible preprocessing pipelines. We present LLaPipe, a novel framework that addresses this exploration bottleneck by integrating Large Language Models (LLMs) as intelligent policy advisors. Unlike traditional methods that rely solely on statistical features and blind trial-and-error, LLaPipe leverages the se…