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Medium CEO says the company has been profitable since August 2024 and details its financial turnaround after losing $2.6M per month in 2022 (Tony Stubblebine/The Coach Life)
https://medium.com/the-coach-life/fell-in-a-hole-got-out-381356ec8d7f

Fell in a hole, got out. - The Coach Life - Medium
I’m gonna write the wonky post of Medium’s turnaround. I’m not sure if a company is allowed to be this blunt about how bad things were. But it’s very much of the Medium ethos that if something…

Loser: U.S. factories
When Democrats in 2022 created and expanded a slew of federal tax breaks for electric vehicles, solar panels, wind turbines, batteries,
they designed them to encourage companies to use components made in the United States.
That spurred a manufacturing boom, including solar-panel glass recyclers in Georgia and electric-vehicle assembly lines in Kentucky.
The new law could derail many of those factories.
The old tax credit for solar power, for…

How the G.O.P. Bill Will Reshape America’s Energy Landscape
Here’s a rundown on the winners and losers in the legislation muscled through Congress.

PitchBook: US VC investment in AI startups rose 33% QoQ to $65B in Q1, up 550% from the quarter prior to ChatGPT's 2022 release (Cade Metz/New York Times)
https://www.nytimes.com/2025/06/27/technology/ai-spending-openai-amazon-meta.html…

A.I. Frenzy Escalates as OpenAI, Amazon and Meta Supersize Spending
Companies like OpenAI, Amazon and Meta have supersized their spending on artificial intelligence, with no signs of slowing down.

NuSTAR discovers a long type-I X-ray burst from the clocked burster GS 1826-24
Aditya S. Mondal, Mayukh Pahari, Gulab C. Dewangan
https://arxiv.org/abs/2507.11231

NuSTAR discovers a long type-I X-ray burst from the clocked burster GS 1826-24
The source GS~1826-24 is a neutron star low mass X-ray binary known as the 'clocked burster' because of its extremely regular bursting behavior. We report on the detection of a long type-I X-ray burst from this source. We perform a detailed spectroscopic analysis of the long X-ray burst, lasting for $\sim 600$ s, seen in the NuSTAR observation carried out on 2022 September. The persistent emission is well described by an absorbed thermal Comptonization model (nthcomp), and the source exhibits a…

Some Mathematical Problems Behind Lattice-Based Cryptography
Chuanming Zong
https://arxiv.org/abs/2506.23438 https://arxiv.org/pdf/25…

Some Mathematical Problems Behind Lattice-Based Cryptography
In 1994, P. Shor discovered quantum algorithms which can break both the RSA cryptosystem and the ElGamal cryptosystem. In 2007, D-Wave demonstrated the first quantum computer. These events and further developments have brought a crisis to secret communication. In 2016, the National Institute of Standards and Technology (NIST) launched a global project to solicit and select a handful of encryption algorithms with the ability to resist quantum computer attacks. In 2022, it announced four candidat…

This https://arxiv.org/abs/2502.10188 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Installation and performance of the 3rd Veto plane at the SND@LHC detector
During 2022/2023 the optimal inefficiency of the Veto system of the SND@LHC detector was measured to be $(7.8\pm2.8)\times10^{-8}$. To reduce this inefficiency, a third Veto plane was installed during the 2023-2024 Year End Technical Stop. In addition, the Veto system was lowered to cover the target fully, thereby increasing acceptance. This paper describes how the inefficiency of the Veto system was reduced from $7.8\times10^{-8}$ with an acceptance of about $64\%$ of the target area in 2022-2…

A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications
Boyang Yang, Zijian Cai, Fengling Liu, Bach Le, Lingming Zhang, Tegawend\'e F. Bissyand\'e, Yang Liu, Haoye Tian
https://arxiv.org/abs/2506.23749

A Survey of LLM-based Automated Program Repair: Taxonomies, Design Paradigms, and Applications
Large language models (LLMs) are reshaping automated program repair (APR). We categorize the recent 63 LLM-based APR systems published from January 2022 to June 2025 into four paradigms, and show how retrieval- or analysis-augmented contexts strengthen any of them. This taxonomy clarifies key trade-offs: fine-tuning delivers strong task alignment at high training cost; prompting enables rapid deployment but is limited by prompt design and context windows; procedural pipelines offer reproducible…

Recent Advances in Maximum-Entropy Sampling
Marcia Fampa, Jon Lee
https://arxiv.org/abs/2507.05066 https://arxiv.org/pdf/2507.05066…

Recent Advances in Maximum-Entropy Sampling
In 2022, we published a book, \emph{Maximum-Entropy Sampling: Algorithms and Application (Springer)}. Since then, there have been several notable advancements on this topic. In this manuscript, we survey some recent highlights.

P-CRE-DML: A Novel Approach for Causal Inference in Non-Linear Panel Data
Amarendra Sharma
https://arxiv.org/abs/2506.23297 https://a…

P-CRE-DML: A Novel Approach for Causal Inference in Non-Linear Panel Data
This paper introduces a novel Proxy-Enhanced Correlated Random Effects Double Machine Learning (P-CRE-DML) framework to estimate causal effects in panel data with non-linearities and unobserved heterogeneity. Combining Double Machine Learning (DML, Chernozhukov et al., 2018), Correlated Random Effects (CRE, Mundlak, 1978), and lagged variables (Arellano & Bond, 1991) and innovating within the CRE-DML framework (Chernozhukov et al., 2022; Clarke & Polselli, 2025; Fuhr & Papies, 2024), we apply P…

Russia jails man for 16 years over pro-Ukraine cyberattacks on critical infrastructure https://therecord.media/russia-jails-man-over-pro-ukraine-cyberattacks

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