Which AI Agent Is The Best? This New Leaderboard Can Tell You
Galileo AI just launched an agent leaderboard on Hugging Face, and the winner may surprise you.
AI agents are the newest frontier in the AI space. AI companies are racing to build their own models, and offerings are constantly rolling out to enterprises. But which AI agent is the best? On Wednesday, Galileo launched an Agent Leaderboard on Hugging Face, an open-source AI platform where users can build, train, access, and deploy AI models. The leaderboard is meant to help people learn how AI agents perform in real-world business applications and help teams determine which agent best fits their needs.
On the leaderboard, you can find information about a model's performance, including its rank and score. At a glance, you can also see more basic information about the model, including vendor, cost, and whether it's open source or private. The leaderboard currently features the 17 leading LLMs, including models from Google, OpenAI, Mistral, Anthropic, and Meta. It is updated monthly to keep up with ongoing releases, which have been occurring frequently.
To determine the results, Galileo uses benchmarking datasets, including the BFCL (Berkeley Function Calling Leaderboard), τ-bench (Tau benchmark), Xlam, and ToolACE, which test different agent capabilities. The leaderboards then turn this data into an evaluation framework that covers real-world use cases.
BFCL excels in academic domains like mathematics, entertainment, and education, τ-bench specializes in retail and airline scenarios, xLAM covers data generation across 21 domains, and ToolACE focuses on API interactions in 390 domains, explains the company in a blog post. Galileo adds that each model is stress-tested to measure everything from simple API calls to more advanced tasks such as multi-tool interactions. The company also shared its methodology, reassuring users that it uses a standardized methodology to evaluate all AI agents fairly. The post includes a more technical dive into the model ranking.
More on Galileo’s AI Agent Leaderboard on ZDNET
Do We Need International Collaboration For Safe AGI? Insights From AI Pioneers
Dive into an in-depth panel discussion featuring AI visionaries Max Tegmark, Demis Hassabis, Yoshua Bengio, Dawn Song, and Ya-Qin Zhang.
In this engaging conversation, the experts unpack the distinctions between narrow AI, AGI, and super intelligence while exploring how international collaboration can accelerate breakthroughs and mitigate risks.
Learn why agentic systems pose unique challenges, how global partnerships—from academia to government—can safeguard our future, and what collaborative frameworks might ensure AI benefits all of humanity.
Whether you're an AI enthusiast, researcher, or policymaker, this discussion offers valuable insights into building a safer, more united AI landscape.
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Elon Musk's AI company, xAI, Said To Be In Talks To Raise $10B, At $75B Valuation
Elon Musk’s AI company, xAI, is said to be in talks to raise $10 billion in a round that would value xAI at $75 billion.
Bloomberg reported Friday that xAI is canvassing existing investors, including Sequoia Capital, Andreessen Horowitz, and Valor Equity Partners for the round, which would bring xAI’s total raised to $22.4 billion, according to Crunchbase. Bloomberg also noted that discussions are ongoing and that the terms of the fundraising round may change.
The potential new injection of capital comes as xAI reportedly weighs buying more than $5 billion worth of servers from Dell to support the development of its AI technologies, including its Grok models. Grok powers a growing number of features on Elon Musk’s X social network, including summaries of trending discussions.
The next major version of Grok, Grok 3, is set to be released in the next several weeks, Musk said in a livestreamed appearance at a Dubai technology conference this week.
More on xAI’s fundraising efforts on TechCrunch
AI Regulation Uncovered: Insights From Leading Legal And Policy Minds | IIA
This panel explores how regulation can drive innovation in AI, featuring perspectives from globally leading policymakers, entrepreneurs, and lawyers.
It discusses practical safeguards that technologists can build into their products for oversight, strategies large firms adopt to manage AI risks, and how regulatory frameworks affect competition and entrepreneurship in Europe and beyond.
Along the way, the discussion also highlights concrete opportunities for entrepreneurship at the burgeoning intersection of AI and regulation.
Panelists: Robert Mahari, JD-PhD at MIT and Harvard Law School Pablo Arredondo, Vice President of CoCounsel at Thomson Reuters and Founder of Casetext Julia Apostle, Partner at Orrick, Herrington & Sutcliffe LLP Gabriele Mazzini, Fellow at MIT Connection Science and Architect of EU AI Act.
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I Just Tried This Game-Changing AI Tool That Lets You Build iPhone Apps With A Text Prompt — No Coding Required
In a sudden but inevitable move, the team behind Bolt.new has released a new feature to allow anyone to create an iOS or Android mobile app using nothing more than a simple text prompt. Those brave souls who've done mobile app development will know how challenging it can be to deliver the right kind of experience on a smartphone. Which makes this new feature a potential game-changer in every way.
The new functionality is based around a partnership between Bolt, a market leading no-code AI app generator, and a company called Expo, an open source mobile app development platform. The idea is for Bolt to create the initial app code, and then rely on Expo to shape the output into a native mobile format.
This means delivering the right kind of menu structure, screen access and all the other bits that make a smartphone app custom-fit for the mobile world. As a long term Bolt user, I just had to jump in and have a play around of the new function as soon as I could. On the surface very little has changed, so obviously a lot of the hard work is going on in the background.
From then on the process is the same as if you’re developing a normal application with Bolt. Enter the text prompt you want (e.g. ‘build me a to-do list app’), press the enhance prompt button to get a more sophisticated AI generated request, and hit the go button.
Bolt then does its usual job of creating the files that make up the finished app.
In practice this part works very well, as it does with generic Bolt apps. The main difference is that instead of seeing the app appear in the preview window, a QR code appears. Having downloaded the Expo app onto your phone, you then point your phone camera towards the QR code and the app appears magically on your phone in native format. It’s quite impressive.
More on Bolt’s new no-code app creation on Tom’s Guide
Andrew Ng On AI’s Real-World Impact: Transforming Business ROI At Davos
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Larry Ellison Wants The U.S. To ‘Unify All The National Data’ And Then Feed It To AI
Larry Ellison thinks the U.S. and other countries should be using AI more, but first, governments need to unify the data they collect on citizens into one easily digestible database. Speaking with former U.K. Prime Minister Tony Blair at the World Governments Summit in Dubai on Wednesday, the Oracle cofounder and executive chairman said that while government organizations collect massive amounts of data, it is highly fragmented, making it hard to feed it into an AI model.
“It’s not like, ‘Go to this database, and here’s all the data about my country,’” he said. “It’s ‘Go to these 3,000 databases, and here’s all the data about my country.’”
For example, an AI model can help improve and lower the cost of health care with better therapeutics and earlier diagnoses, he said, but only if it can access health care data, diagnostic data, electronic health records, and even the genomic data of citizens that is collected by governments. “That’s the big step. That’s kind of the missing link. We need to unify all of the national data, put it into a database where it’s easily consumable by the AI model, and then ask whatever question you like,” he said.
A unified database can also help AI models uncover government fraud, he added. Ellison, who is friends with President Trump’s government-spending cost-cutter Elon Musk, pointed to the supposed misallocation of funds Musk has uncovered as head of DOGE as evidence that AI is needed in this area.
Yet in order to enable the massive use of AI in governments, Ellison said each country must invest in data centers, which must be built on domestic soil because of privacy concerns and the apprehension countries have over storing citizens’ data in centers abroad.
More on Larry Ellison’s global data unification on Fortune
Demis Hassabis On The Future of AI And Human-Machine Innovation | IIA Davos
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