42AI 发布有62.5M美元，用于预测市场波动时贸易商如何行事
以色列人工智能今日以6250万美元的资金启动42AI 发布，用于建设它所称的行为世界模型。
它的第一个客户是经纪商，他们想知道个体贸易商在市场变得动荡时会如何行动。 42AI提供软件，估计一个人在特定情况下可能作出的每项选择的概率。 “行为不是决定性的；它经常是概率性的，”共同创始人兼行政长官Amit Gal-Or告诉TechCrunch。
公司把所了解的人变成个性特征的数学表述，一个以变压器为基础的世界模型从那里可以找出概率。 一个单独的语言模型写出了每个预测的特征和背景。
42AI 称一个经纪公司可以看到每个客户在未来24小时内可能进行的交易，包括仪器，方向和量。 如果客户看起来要堆入同一种交易，一个风险台可以在其账簿上被曝光前进行套期。 在登机时所做的了解客户检查是输入的一个来源，模型还权衡客户的通话频率和声音的情绪。
10个大型经纪公司正在同42AI公司合作，后者收取固定费用，或收取其帮助产生的价值的百分比。 收入已达7个数字，Gal-Or 称，但没有给出确切数字。
根据公司的账户，一家经纪公司通过动态套期保值获得了约3 000万美元的额外价值。 该公司在贸易方面也获得了声称98%的精度。 根据Gal-Or的预测，该数字跟踪交易是否在预计范围内进行，并不衡量每个个体交易的预测是否正确。
三年的研究进入了模型。 数以千计的人在第一次研究中接受了心理评估，到团队向政府和生物库数据集移动时，样本已经过200万。 现在，客户数据涉及大约3 000万人。
首席技术官Ehud Ezra和三位共同作者在2月份张贴的一篇论文中描述了其中一出作品。 他们的大行为模型将Meta平台股份有限公司的Llama 3.1的80亿参数版本用于从详细的心理测量剖面来预测一个人的战略选择。
在隐私方面，Gal-Or 称系统不需要个人识别信息，“模型永远不会知道这个人是谁”。 仍然通过链接账户活动为每个个人建立简介。
被问及经纪业能否将这些预测与自己的客户对立，创始人指出，监管、监测和内部道德委员会是对这种用途的检查。
赌博，预防欺诈和网络安全是42AI正在探索的下个市场，帮助机器人和AI agents将人理解为一个更长远的目标。 无论运行在哪里，当模型忽略了外部影响时，如商人根据同事的建议行事，就会失去准确性。 ”Gal-Or 称。
这6250万美元被42AI描述为"种子资金"，来自创始人和"无限集团"三年来。 创始人兼主席Amir Gal-Or创立了无穷集团。 获得2011年诺贝尔化学奖的丹·谢克特曼是研究团队的顾问之一。 42AI计划筹集更多资金。
图片：42AI
SiliconANGLE联合创始人John Furrier的留言：
支持我们的使命，通过与CUBE社区接触，保持内容的开放和自由。 加入CUBE的校友信托网络，其中技术领导者相互连接，分享情报并创造机会。
- 15M+观看CUBE视频，为跨越AI、云、网络安全等的对话提供动力
- 11.4k+CUBE校友——通过一个独特的信任网络，与11,400多位技术和企业领袖建立联系，塑造未来
你是AWS客户吗？在财务上支持SiliconANGLE，从我们的市场门户页面和链接购买您的AWS服务：https://siliconangle.com/aws-marketplace/
关于 SiliconANGLE 媒体
SiliconANGLE Media由技术视觉家John Furrier和Dave Vellante所创立，构建了产业领先数字媒体品牌的动态生态系统，达到了1500+百万精英技术专业人士。 我们的新专有CUBE AI Video Cloud正在观众互动中突破地步
本文由 AI宝库自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
42AI launches with $62.5M to predict how traders act when markets turn volatile
Israeli artificial intelligence startup 42AI launched today with $62.5 million in funding to build what it calls a behavioral world model.
Its first customers are brokerages that want to know how individual traders will act when markets turn volatile. 42AI offers software that estimates the odds of each choice a person might make in a given situation. “Behavior is not deterministic; it’s constantly probabilistic,” co-founder and Chief Executive Amit Gal-Or told TechCrunch.
The company turns what it knows about a person into mathematical representations of personality traits, and a transformer-based world model works out the probabilities from there. A separate language model writes up which traits and context drove each prediction.
42AI says a brokerage can see what each client is likely to trade over the next 24 hours, including the instrument, the direction and the volume. If clients look set to pile into the same trade, a risk desk can hedge before the exposure lands on its book. Know-your-customer checks done at onboarding are one source of input, and the model also weighs how often a client calls and the sentiment in their voice.
Ten large brokerages are working with 42AI, which charges either a flat fee or a percentage of the value it helps generate. Revenue has reached seven figures, Gal-Or said, without giving a precise number.
By the company’s account, one brokerage gained about $30 million in additional value through dynamic hedging. The company also claims 98% accuracy on trades. That figure tracks whether trading flows land inside a predicted range, according to Gal-Or, and does not measure whether every individual trade was predicted correctly.
Three years of research went into the model. Thousands of people took psychological assessments in the first study, and by the time the team moved on to government and biobank datasets, the sample had passed 2 million. Customer data now spans about 30 million people.
Chief Technology Officer Ehud Ezra and three co-authors described one piece of the work in a paper posted in February. Their Large Behavioral Model adapts an 8 billion-parameter version of Meta Platforms Inc.’s Llama 3.1 to predict a person’s strategic choices from a detailed psychometric profile.
On privacy, Gal-Or said the system does not need personally identifiable information and that “the model never knows who the person is.” Profiles are still built for each individual from linked account activity.
Asked whether a brokerage could turn those predictions against its own clients, Ezra called it “a valid concern.” The founders pointed to regulation, monitoring and an internal ethics committee as checks on that kind of use.
Gaming, fraud prevention and cybersecurity are the next markets 42AI is exploring, with helping robots and AI agents understand people as a longer-term goal. Wherever it runs, the model loses accuracy when it misses outside influences, such as a trader acting on a colleague’s advice. “There’s a natural ceiling because you really don’t have access to everything that a person experiences,” Gal-Or said.
The $62.5 million, which 42AI describes as seed funding, came from the founders and Infinity Group over three years. Amir Gal-Or, the startup’s co-founder and chairman, founded Infinity Group. Dan Shechtman, who won the 2011 Nobel Prize in Chemistry, is among the advisers to the research team. 42AI plans to raise more money.
Image: 42AI
A message from John Furrier, co-founder of SiliconANGLE:
Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE’s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.
- 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more
- 11.4k+ theCUBE alumni — Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network
Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/
About SiliconANGLE Media
Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.
Auto-fetched and translated by AI Gem Box. All rights belong to the original author.