Tootfinder

Agora, which offers a white-labeling service to let other companies launch their own, self-branded versions of its stablecoin, AUSD, raised a $50M Series A (Leo Schwartz/Fortune)
https://fortune.com/crypto/2025/07/10/exclu…

Exclusive: Stablecoin startup Agora raises $50 million Series A led by crypto VC giant Paradigm
Agora is run by Nick Van Eck, son of the asset management veteran Jan van Eck.

I don’t agree in one respect:
Neither OOP nor FP (nor 4GLs nor IDEs nor SOAs nor any of the other new hotnesses past) had anything remotely resembling the current money behind them. None led to companies speculatively laying off tens of thousands of employees for imagined productivity boosts that had not actually arrived yet. None shaped whole election cycles, or led to national proposals for preemptive deregulation. None led to the construction of nuclear power plants or the draining of rivers. None sent oligarchs or fascists into spasmodic wet dreams of world domination. None started quasi-religious cults like EA.
All •that• is the part that feels like blockchain — but even worse, if such a thing is possible.
@…
2/2

"Para o ajudar".
Pooooooois.
E eu tenho aqui uma ponte em ótimo estado, não a querem comprar?
https://masto.pt/@tugatech/114676165940672788

Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
Hiroshi Matsuda, Chunpeng Ma, Masayuki Asahara
https://arxiv.org/abs/2506.09983

Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
Recent advances in large language models (LLMs) have enabled impressive performance in various tasks. However, standard prompting often struggles to produce structurally valid and accurate outputs, especially in dependency parsing. We propose a novel step-by-step instruction strategy, where universal part-of-speech tagging precedes the prediction of syntactic heads and dependency labels, and a simplified CoNLL-U like output format, our method achieves state-of-the-art accuracy on Universal Depe…

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Akshar Tumu, Henrik I. Christensen, Marcell Vazquez-Chanlatte, Chikao Tsuchiya, Dhaval Bhanderi
https://arxiv.org/abs/2506.10317

Using Language and Road Manuals to Inform Map Reconstruction for Autonomous Driving
Lane-topology prediction is a critical component of safe and reliable autonomous navigation. An accurate understanding of the road environment aids this task. We observe that this information often follows conventions encoded in natural language, through design codes that reflect the road structure and road names that capture the road functionality. We augment this information in a lightweight manner to SMERF, a map-prior-based online lane-topology prediction model, by combining structured road…

Measurement of Downward-going Milli-charged particles beyond GZK cutoff at the Pierre Auger Observatory
Ye Xu
https://arxiv.org/abs/2506.07395 https://

Measurement of Downward-going Milli-charged particles beyond GZK cutoff at the Pierre Auger Observatory
It is assumed that superheavy dark matter particles (SHDM, $ϕ$) with $\mathcal{O}$(ZeV) mass may decay to relativistic milli-charged particles (MCPs, $χ$) via a channel $ϕ\toχ\barχ$ or $γχ\barχ$. The downward-going MCPs passing through the atmosphere can be measured by the Pierre Auger observatory (Auger). The massless hidden photon model is taken for MCPs to interact with nuclei, so that we evaluated the numbers and fluxes of expected MCPs at Auger assuming 14 years of Auger data. The …

Raiders predicted to acquire recently cut former $84 million star to cornerbacks room https://www.sportingnews.com/us/nfl/las-vegas-raiders/news/raiders-predicted-acquire-cut-former…

Effects of One-particle Reduced Density Matrix Optimization in Variational Quantum Eigensolvers
Amanda Marques de Lima, Erico Souza Teixeira, Eivson Darlivam Rodrigues de Aguiar Silva, Ricardo Luiz Longo
https://arxiv.org/abs/2507.07667

Effects of One-particle Reduced Density Matrix Optimization in Variational Quantum Eigensolvers
The variational quantum eigensolver (VQE) is a promising method for simulating molecular systems on near-term quantum computers. This approach employs energy estimation; however, other relevant molecular properties can be extracted from the one-particle reduced density matrix (1-RDM) generated by VQE. The accuracy of these properties strongly depends on the reliability and convergence of the 1-RDM, which is not guaranteed by energy-only optimization. Thus, we investigate the effect of optimizin…

"Men acquire a particular quality by constantly acting in a particular way."
-Aristotle
#acting #coaching #inspiration

The Scintillator Surface Detector of the Pierre Auger Observatory
The Pierre Auger Collaboration
https://arxiv.org/abs/2507.07762 https://

The Scintillator Surface Detector of the Pierre Auger Observatory
Data collected so far by the Pierre Auger Observatory have enabled major advances in ultra-high energy cosmic ray physics and demonstrated that improved determination of masses of primary cosmic-ray particles, preferably on an event-by-event basis, is necessary for understanding their origin and nature. Improvement in primary mass measurements was the main motivation for the upgrade of the Pierre Auger Observatory, called AugerPrime. As part of this upgrade, scintillator detectors are added to …