Tootfinder

Reid Hoffman calls Anthropic "one of the good guys" after David Sacks accused the company of running a "regulatory capture strategy based on fear-mongering" (Ashley Capoot/CNBC)
https://www.cnbc.com/2025/10/20/openai-inv

OpenAI investor Reid Hoffman spars with AI czar Sacks, calls Anthropic 'one of the good guys'
After White House AI and crypto czar David Sacks went after Anthropic last week, OpenAI investor Reid Hoffman came to the company's defense.

The one thing that does seem clear to me is that this is deeply entangled with the ultra-concentration of wealth and power, something which is both a cause •and• an effect of creators not sharing properly in the rewards of their creations.
If you talk to me about antitrust law with teeth or ending regulatory capture or a wealth tax, well, I don’t know how we get there — but you have my attention.
/end

David Sacks says Anthropic is running a "regulatory capture strategy based on fear-mongering", responding to Anthropic co-founder Jack Clark's post on AI policy (Dave Lee/Bloomberg)

Reproducibility: The New Frontier in AI Governance
Israel Mason-Williams, Gabryel Mason-Williams
https://arxiv.org/abs/2510.11595 https://arxiv.org/pdf/251…

Reproducibility: The New Frontier in AI Governance
AI policymakers are responsible for delivering effective governance mechanisms that can provide safe, aligned and trustworthy AI development. However, the information environment offered to policymakers is characterised by an unnecessarily low Signal-To-Noise Ratio, favouring regulatory capture and creating deep uncertainty and divides on which risks should be prioritised from a governance perspective. We posit that the current publication speeds in AI combined with the lack of strong scientifi…

A Hybrid DNN Transformer AE Framework for Corporate Tax Risk Supervision and Risk Level Assessment
Zhenzhen Song, Nanxi Wang, Hongji Li
https://arxiv.org/abs/2509.23862 https://…

A Hybrid DNN Transformer AE Framework for Corporate Tax Risk Supervision and Risk Level Assessment
Tax risk supervision has become a critical component of modern financial governance, as irregular tax behaviors and hidden compliance risks pose significant challenges to regulatory authorities and enterprises alike. Traditional rule-based methods often struggle to capture complex and dynamic tax-related anomalies in large-scale enterprise data. To address this issue, this paper proposes a hybrid deep learning framework (DNN-Transformer-Autoencoder) for corporate tax risk supervision and risk l…

Short-rate models with stochastic discontinuities: a PDE approach
Alessandro Calvia, Marzia De Donno, Chiara Guardasoni, Simona Sanfelici
https://arxiv.org/abs/2510.04289 https:…

Short-rate models with stochastic discontinuities: a PDE approach
With the reform of interest rate benchmarks, interbank offered rates (IBORs) like LIBOR have been replaced by risk-free rates (RFRs), such as the Secured Overnight Financing Rate (SOFR) in the U.S. and the Euro Short-Term Rate (\euro STR) in Europe. These rates exhibit characteristics like jumps and spikes that correspond to specific market events, driven by regulatory and liquidity constraints. To capture these characteristics, this paper considers a general short-rate model that incorporates …