Keynote: Making C++ Standard Parallelism Multidimensional – C++Now Schedule

The Guardian | Polymarket and other prediction platforms driving oil market, traders say by Jillian Ambrose Energy correspondent

Datafeeds from platforms being used to create algorithms that determine multimillion-dollar trades on global market

Energy traders say online betting platforms are directly driving the global oil market as they increasingly rely on anonymous prediction markets to determine multimillion-dollar trades.

Market experts have said that datafeeds from prediction platforms such as Polymarket are being used to create the algorithms that influence trading in the global Brent crude futures market.

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Read more: https://www.theguardian.com/business/2026/apr/02/energy-traders-polymarket-prediction-datafeeds-global-oil-market

#polymarket #predictionplatforms #oilmarket #algorithms #futuresmarket

Polymarket and other prediction platforms driving oil market, traders say

Datafeeds from platforms being used to create algorithms that determine multimillion-dollar trades on global market

The Guardian

RE: https://mastodon.social/@adamndsmith/116328215860941572

This is a perfect demonstration of two different issues that @lauren talks about.

First, the post itself:

A simple, everyday action that predictably occurs in the real world, because #people are messy and imperfect and make mistakes and bad decisions. A 14-year-old boy does something stupid related to hormones: boy, that's never happened before! Why would we expect that?

Google's #algorithms detect it as CSAM or similar - you can argue this is a false detection or not. Predictable and predicted.

#Google immediately locks not just the account that the kid was using, but every other account that uses the same device. Call it what you will - collateral damage. The whole family loses #access to everything - photos, business stuff, website, email, and more. Again, #predictable and #predicted.

The users find themselves trying to #appeal to recover their access, and Google's systems make it impossible. You can't contact a human. There is no #escalation from the machine's judgment. If you don't know someone inside Google and can't get your story on the front pages, you're just #boned. Lauren *rails* against this dereliction by Google, demonstrated time and time again.

Then, the thread of replies is chock-full of presumably-technophile people laughing at the #victims and saying "You had backups, right? Ahahaha" and "Why would you give all that info to Google, stupid?" and similar. Near- #sociopathic lack of #concern for others. Lauren's right here, too.

We must do better.

The Gray Device

Exploring the wonders of Gray Codes through a little bit of industrial art.

YouTube

Need to pick a sample of size K from a stream of events of unknown size? You need reservoir sampling. The article below introduces the basics, and a new (maybe?) variation that's useful when evenly spreading out samples is helpful

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Alternative intro: The commercial profiler I built is no longer available; might revive it someday, who knows.

But I did learn some generally useful things from building it. Here's one—a variation on reservoir sampling that smooths out the gaps in profiling. This is helpful for timeline-based visualizations where you want samples to each represent the same amount of time.
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https://pythonspeed.com/articles/reservoir-sampling-profilers/

#algorithms

Timesliced reservoir sampling: a new(?) algorithm for profilers

Reservoir sampling lets you pick a sample from an unlimited stream of events; learn how it works, and a new variant useful for profilers.

Python⇒Speed
Signals, the push-pull based algorithm — Willy Brauner

We have been using Signals in production for years via several modern front-end frameworks like Solid, Vue, and others, but few of us are able to explain how they work internally. I wanted to dig into it, especially diving deep into the push-pull based algorithm, the core mechanism behind their reactivity.

Low-Level Date Algorithms (year/month/day to day epoch and the reverse, among others) https://howardhinnant.github.io/date_algorithms.html #calendar #algorithms

RE: https://mastodon.social/@arteesetica/116166487363627320

La cultura de elegir al villano más aceptable para el primetime está llegando a niveles donde creíamos que primaba el pensamiento crítico, pero ya vemos que no. La dependencia algorítmica también ha llegado a niveles donde parece que no encuentran salida ni alternativa más que «elegir al malo, no-tan-malo o que parece menos malo», porque no se permiten siquiera pensar en la posibilidad de NO USAR IA.

#AI #IA #Claude #Anthropic #IAgenerativa #genAI #algorithms #data #ethics

RE: https://mathstodon.xyz/@kangmeister/116136852073418222

It was almost exactly two years ago in Lunteren after a pitch by Ton de Kok (director of CWI at the time) that the idea for this popped into mind. And now (after a lot of hard work!) it is in full swing. An exciting mix of people at the confluence of combinatorics, algorithms, probability, brought together in Amsterdam over the next couple of months!

https://www.cwi.nl/en/events/research-semester-programmes/phasecap-phase-transitions-in-combinatorics-algorithms-probability/

#CWI #conference #combinatorics #probability #algorithms