Group 1 - Block, owner of Square and Cash App, is set to join the S&P 500, replacing Hess starting July 23, marking a significant milestone for the company and the mainstream acceptance of digital payments and cryptocurrency [2][3] - The company has evolved from a payments processing entity to a comprehensive FinTech, offering services such as peer-to-peer transfers, merchant services, and consumer lending, with recent approval from the FDIC to provide consumer loans through Cash App Borrow [3][4] - Block is integrating bitcoin payment capabilities into its Square terminals, reflecting CEO Jack Dorsey's advocacy for cryptocurrency, which aims to empower small businesses by allowing them to accept bitcoin and receive payments faster [4][5] Group 2 - The news of Block's inclusion in the S&P 500 coincided with the cryptocurrency market reaching an all-time high, surpassing $4 trillion, following the passage of three crypto-related bills by Congress [5] - The company is leveraging machine learning for fraud detection, developing internal models to identify potentially scam payments in real-time, enhancing security without disrupting the payment process [6][7]

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):I have been training neural networks for 9 years now.Here are 16 ways I actively use to optimize model training: ...

[Music] I really came to this thinking about trying to reflect on six months into this like reinforcement learning with verifiable rewards post 01 post deepseeek and I think that a lot of this stuff is somewhat boring because everybody has a reasoning model Um, we all know the basics of you can scale RL at training time and the numbers will go up and that's deeply correlated with being able to then do this inference time scaling. Um, but really in AI right now everybody there's a lot of people are up to spe ...

[Music] Um, hey everyone. Glad you're all here. This is the reasoning and reinforcement learning track uh on the afternoon of the last day of the AI engineer world's fair.Glad you're all here. Glad you're sharing it with us. Today, what I'm going to talk about is uh a very specific case study um that we did. Uh this case study, I'm going to talk about lessons learned very concretely.Um what did and didn't work, how we able to build an agent that worked well with reinforcement learning. Uh all of this uh eve ...

That's a wrap!If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):Andrew Ng's team once made a big mistake in a research paper.And it happened due to randomly splitting the data.Here's what happened: ...

It is never shameful to learn from others. ...

MiniMax 在 7 月 10 日面向全球举办了 M1 技术研讨会，邀请了 来自香港科技大学、滑铁卢大学、Anthropic、Hugging Face、SGLang、 vLLM、RL领域的研究者及业界嘉宾，就 模型架构创新、RL训练、长上下文应用等领域进行了深入的探讨。 嘉宾阵容很强大，聊的也很深入，Founder Park 授权转载了要点文章。 文章转载自「MiniMax 稀宇科技」。 Founder Park 联合外滩大会组委会、将门创投，征集能真正改变生活的 AI 硬件，寻找 AI 硬件的新可能。 扫码即可报名 01 RL能否赋予模型新能力？ RL能否提升模型的基础能力？很多人认为，RL只是在激活模型在预训练阶段就已经学会的一些能力或技巧，不能够让模型从根本上学会 预训练阶段不存在的新技能，例如有些论文说，RL并不能提高模型的pass@k。 首先需要定义模型的基础能力。一个比较实用的定义是，对于给定的上下文长度，模型在一组特定问题上，在无限次尝试下的通过率（pass@k, k→∞）是多少。如果这个通过率等于1，就表示这个模型能解决这类问题。如果通过率等于0，就表示模型解决不了。如果模型的生成长度，即模 ...

Core Viewpoint - Tevogen Bio Holdings Inc. has announced the publication of its international patent application for a machine learning-based technology aimed at identifying immunologically active peptides, which is crucial for developing targeted therapies for diseases like cancer and infections [1][2]. Group 1: Technology and Innovation - The patented technology utilizes machine learning algorithms, developed in collaboration with Microsoft and Databricks, to enhance the identification of peptides that interact strongly with the immune system [1]. - Traditional methods for identifying these peptides often overlook important genetic diversity factors, but Tevogen.AI's approach aims to address these limitations [2]. - The technology focuses on efficiently screening and ranking potential peptides based on their immunological activity and continuously refining predictions using real-world data [6]. Group 2: Strategic Goals - The company emphasizes the importance of leveraging artificial intelligence to accelerate discovery, shorten development timelines, and reduce costs in the context of personalized T cell therapies [2]. - The goal is to deliver commercially attractive and economically viable therapies for various diseases, including cancers and infectious diseases [2].

Imagine a world where the only form of communication was crying. Right. As children, our only way of communicating to our parents was if we simply cried, we'd get our work done.But as we grew up, we had to unlearn that crying was the only way of communication. We formed words slowly, negotiations, arguments and finally we can speak how we can today. The fundamental thing is unlearning is not forgetting.It's a common misconception because of the prefix un. It negates the word. It is about evolving.It is reco ...

Okay. Have you ever been so sure of something only to later realize that you might have been wrong. It might be like a fact that you believed your entire life only for you to find out that it was just a myth.It's a humbling experience, isn't it. Now, I would like to ask you all to imagine a cup. A cup so full of water that it can't hold another drop.Now imagine this to be your mind with all your beliefs, assumptions and habits with no room for change. With no room to grow, with no room for anything new to d ...