@BeatzXBT@malort_hft@mud2monarch Wonder if a typically less fast protocol like ws would have your orders reach the engine faster than say fix, during high vol times depending on exchange architecture because they might be less busy
Problem: Basic terms in computer science have ambiguous (or no) definitions.
Solution: Sourced Computer Science Definitions:
The words of the day are "asynchronous", "concurrent", and "parallel" (via @DominikTornow ):
https://t.co/9e8gEYscIY
Last January, I noticed something peculiar in my 2yo’s bedroom that - after a year of obsessive reporting - led me to a profound cosmic revelation about what’s even possible in our universe. A 🧵.
Apple is going to poison the one victory Epic secured in their lawsuit so bad nobody would ever think to use it. They want a 27%(!!!!) commission on any link from an app to a website, reporting every few weeks, AND the right to audit your books?? Insane.
In memory of Andre Braugher and his contribution to @brooklyn99, here are 50 of the best Raymond Holt quotes that prove he will always be the best police captain/genius 🤍
Check out this demo from Google Research of Gemini's reasoning capabilities to understand and reason about users' intent, use tools, and generate bespoke user experiences that go beyond chat interfaces ↓ #GeminiAI
🚨 BREAKING: Google DeepMind just revealed Gemini- ChatGPT's biggest competitor.
Gemini is the FIRST multimodal AI to outperform human experts on the MMLU, scoring over 90%.
I’m very excited to share our work on Gemini today! Gemini is a family of multimodal models that demonstrate really strong capabilities across the image, audio, video, and text domains. Our most-capable model, Gemini Ultra, advances the state of the art in 30 of 32 benchmarks, including 10 of 12 popular text and reasoning benchmarks, 9 of 9 image understanding benchmarks, 6 of 6 video understanding benchmarks, and 5 of 5 speech recognition and speech translation benchmarks. Gemini Ultra is the first model to achieve human-expert performance on MMLU across 57 subjects with a score above 90%. It also achieves a new state-of-the-art score of 62.4% on the new MMMU multimodal reasoning benchmark, outperforming the previous best model by more than 5 percentage points.
Gemini was built by an awesome team of people from @GoogleDeepMind, @GoogleResearch, and elsewhere at @Google, and is one of the largest science and engineering efforts we’ve ever undertaken. As one of the two overall technical leads of the Gemini effort, along with my colleague @OriolVinyalsML, I am incredibly proud of the whole team, and we’re so excited to be sharing our work with you today!
There’s quite a lot of different material about Gemini available, starting with:
Main blog post: https://t.co/NzSycJl7aE
60-page technical report authored by th Gemini Team: https://t.co/CEdMRyYSLo
In this thread, I’ll walk you through some of the highlights.
For me the most scary thing to see in the OpenAI saga, was how so many workers acted in obedience and conformism signing and tweeting like cult members and not like highly intelligent independent thinkers, it gives me a quite dark perspective on Altman and OpenAI.
Holy shit the Omegle shut down message is one of the most intense pieces of writing about the internet I’ve ever encountered. A lot going on here. https://t.co/8zDz7o0OMi