惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

U
Unit 42
博客园 - Franky
T
Tailwind CSS Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
月光博客
月光博客
人人都是产品经理
人人都是产品经理
雷峰网
雷峰网
Hugging Face - Blog
Hugging Face - Blog
有赞技术团队
有赞技术团队
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
阮一峰的网络日志
阮一峰的网络日志
C
Check Point Blog
爱范儿
爱范儿
T
The Blog of Author Tim Ferriss
aimingoo的专栏
aimingoo的专栏
Stack Overflow Blog
Stack Overflow Blog
博客园 - 聂微东
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
L
LangChain Blog
云风的 BLOG
云风的 BLOG
MyScale Blog
MyScale Blog
Microsoft Security Blog
Microsoft Security Blog
The Cloudflare Blog
博客园 - 三生石上(FineUI控件)

Ars Technica

You want your Moon landings in HDTV? So does NASA—here's how it's happening. Microsoft issues emergency update for macOS and Linux ASP.NET threat Anthropic tested removing Claude Code from the Pro plan Coyote vs. Acme is finally getting released—with a killer trailer Google unveils two new TPUs designed for the "agentic era" Tabloid reports linking 10 missing and dead scientists spur FBI probe Physicists think they've solved the muon mystery New court ruling blocks many of the government's anti-renewable policies Indian med student rakes in thousands with AI-generated MAGA hottie As EV batteries improve, ChargePoint debuts 600 kW fast charger Our favorite gear at Sea Otter Classic wasn't the bikes—it was the accessories Investors lost billions on Trump’s memecoin. Another gala won’t fix that. Pentagon wants $54B for drones, more than most nations’ military budgets Mozilla: Anthropic's Mythos found 271 security vulnerabilities in Firefox 150 Supreme Court arguments make it clear that FCC fines are "nonbinding" Silo S3 teaser hints at the wasteland's origins Framework's CEO on the RAM crisis and creating a "MacBook Pro for Linux users" Florida probes ChatGPT role in mass shooting. OpenAI says bot "not responsible." Report: Meta will train AI agents by tracking employees' mouse, keyboard use Microsoft removes Call of Duty from Game Pass, lowers subscription pricing Framework Laptop 13 Pro is a major overhaul for the modular, upgradeable laptop Framework Laptop 16 upgrades make it look less like an unfinished prototype Internal emails show how Amazon raises prices across the Internet, lawsuit says Anthropic gets $5B investment from Amazon, will use it to buy Amazon chips CATL's new LFP battery can charge from 10 to 98% in less than 7 minutes AMD Ryzen 9 9950X3D2 Dual Edition review: Tons of cache for tons of dollars What's the deal with spacesuits for the Moon? Will they be ready in time? Loneliness in older adults can often lead to memory impairment Contrary to popular superstition, AES 128 is just fine in a post-quantum world Pentagon pulls the plug on one of the military's most troubled space programs
AI models are terrible at betting on soccer—especially xA...
2026-04-11 · via Ars Technica

“Every frontier model we evaluated lost money over the season and many experienced ruin,” the authors of the paper concluded, with the AI “systematically underperforming humans” in this scenario.

AI Model Mean ROI Best try Worst try Mean final bankroll
Anthropic Claude Opus 4.6 –11.0% –0.2% –18.8% £89,035
OpenAI GPT-5.4 –13.6% –4.1% –31.6% £86,365
Google Gemini 3.1 Pro –43.3% +33.7% –100.0% £56,715
Google Gemini Flash 3.1 LP –58.4% +24.7% –100.0% £41,605
Z.AI GLM-5 –58.8% –14.3% –100.0% £41,221
Moonshot Kimi K2.5 –68.3% –27.0% –100.0% £7,420
xAI Grok 4.20 –100.0% –100.0% –100.0% £0
Acree Trinity –100.0% –100.0% –100.0% £0
Each model began with a £100,000 normalized bankroll. Return on investment and final bankroll are averaged across three tries. Grok and Trinity did not complete every attempt.

The results offer some comfort to white-collar professionals and businesses who are fretting that AI could take their jobs, as it roils the shares of industries from finance to marketing.

Ross Taylor, one of the study’s authors and General Reasoning’s chief executive, said: “There is so much hype about AI automation, but there’s not a lot of measurement of putting AI into a longtime horizon setting.”

He added that many of the benchmarks typically used to test AI are flawed because they are set in “very static environments” that bear little resemblance to the chaos and complexity of the real world.

General Reasoning’s paper, which has not yet been peer reviewed, provides a counterweight to growing excitement in Silicon Valley about the huge recent leaps in AI’s ability to complete computer programming tasks with little to no human intervention.

Taylor, a former Meta AI researcher, said: “If you… try AI on some real-world tasks, it does really badly… Yes, software engineering is very important and economically valuable, but there are lots of other activities with longer time horizons that are important to look at.”

© 2026 The Financial Times Ltd. All rights reserved. Not to be redistributed, copied, or modified in any way.