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The Hypocrisy at the Heart of the AI Industry

The Atlantic - Technology

Tech companies believe in intellectual property, but not yours. In April 2024, Eric Schmidt, the former Google CEO and a current AI evangelist, gave a closed-door lecture to a group of Stanford students. If these young people hoped to be Silicon Valley entrepreneurs, Schmidt explained, then they should be prepared to breach some ethical boundaries. Yet Schmidt told the students to go ahead and download whatever they need to build an accurate "test" version of their AI product. If the product takes off, "then you hire a whole bunch of lawyers to go clean the mess up," he said.


At Palantir's Developer Conference, AI Is Built to Win Wars

WIRED

At Palantir's Developer Conference, AI Is Built to Win Wars As business soars, Palantir is doubling down on a vision of AI built for battlefield advantage--and attracting customers who agree. The defense contractors, military officers, and corporate executives in attendance are unprepared for the weather; they'd assumed the previous day's mid-70s temperatures would hold. A cold rain turns to steady snowfall, and Palantir passes out heavy blankets. As people move between open-air pavilions, it looks like they were pulled from shipwrecks. To this self-selecting crowd, Palantir is delivering on its promises.


Google Shakes Up Its Browser Agent Team Amid OpenClaw Craze

WIRED

As Silicon Valley obsesses over a new wave of AI coding agents, Google and other AI labs are shifting their bets. Google is shaking up the team behind Project Mariner, its AI agent that can navigate the Chrome browser and complete tasks on a user's behalf, WIRED has learned. In recent months, some Google Labs staffers who worked on the research prototype have moved on to higher-priority projects, according to two people familiar with the matter. A Google spokesperson confirmed the changes, but said the computer use capabilities developed under Project Mariner will be incorporated into the company's agent strategy moving forward. Google has already folded some of these capabilities into other agent products, including the recently launched Gemini Agent, the spokesperson added.


China's OpenClaw Boom Is a Gold Rush for AI Companies

WIRED

China's OpenClaw Boom Is a Gold Rush for AI Companies Hype around the open source agent is driving people to rent cloud servers and buy AI subscriptions just to try it, creating a windfall for tech companies. George Zhang thought OpenClaw could make him rich, even though he didn't really understand how the viral AI agent software worked. But he saw a video of a Chinese social media influencer demonstrating how it could be deployed to manage stock portfolios and make investment decisions autonomously. Zhang, who works in cross-border ecommerce in the Chinese city of Xiamen, was intrigued enough that he decided to try installing OpenClaw in late February. Zhang is one of the many people in China who got swept up in the craze over OpenClaw recently.


Code Metal Raises 125 Million to Rewrite the Defense Industry's Code With AI

WIRED

The Boston startup uses AI to translate and verify legacy software for defense contractors, arguing modernization can't come at the cost of new bugs. Code Metal, a Boston-based startup that uses AI to write code and translate it into other programming languages, just closed a $125 million Series B funding round from new and existing investors. The news comes just a few months after the startup raised $36 million in series A financing led by Accel. Code Metal is part of a new wave of startups aiming to modernize the tech industry by using AI to generate code and translate it across programming languages. One of the questions that persists about AI-assisted code, though, is whether the output is any good--and what the consequences might be if it's not.



A file format used in the

Neural Information Processing Systems

The keywords were extracted using the procedure described in SectionC. The restricted part of the Muharaf dataset has 428 images distributed under a proprietary license.



bbc9d480a8257889d2af88983e8b126a-Paper-Conference.pdf

Neural Information Processing Systems

While existing automatic differentiation (AD) frameworks allow flexibly composing model architectures, theydonotprovide thesame flexibility forcomposing learning algorithms--everything has to be implemented in terms of backpropagation.