As enterprise leaders such as Palantir Technologies Inc. (NASDAQ:PLTR) CEO Alex Karp and Microsoft Corp. (NASDAQ:MSFT) CEO Satya Nadella raise the alarm about companies surrendering their intellectual property (IP) to centralized artificial intelligence (AI) models, former OpenAI executive Mira Murati has launched a direct solution.

Her startup, Thinking Machines Lab, recently released “Inkling,” an open-weight AI model designed to let businesses customize AI without exposing their proprietary data.

The Enterprise Data Crisis

The launch of Inkling arrives exactly as major tech executives warn that relying on frontier AI labs is jeopardizing enterprise data and competitive advantages.

On Sunday, Nadella described a “Reverse Information Paradox,” warning that businesses “essentially pay for intelligence twice, once with money, and again with something even more valuable: the proprietary knowledge you must reveal to make that intelligence useful.” Nadella stressed that “what you create should belong to you,” advocating against transferring unique know-how to model providers.

Karp echoed this sentiment, delivering a blistering critique of the AI industry’s current trajectory. Karp stated that the enterprise perspective is increasingly: “I’m going to chillax and waste my time with tokens, I’m going to get no value, and they’re going to get my IP.” He noted that executives fear AI companies will absorb their “alpha,” or unique competitive edge.

Decentralized Control and the ‘Inkling’ Solution

Murati’s new release directly addresses these enterprise fears. Inkling is an open-weight model, meaning developers can download and tailor the software to their needs without ever seeing the training data or source code.

Venture capitalist Bill Gurley highlighted the strategic timing of the launch. On X, Gurley noted that Murati’s approach is “quite consistent with the POV this past week from Alex Karp & Satya about companies controlling their own IP,” calling the launch “Right place. Right time. Decentralized.”

Murati herself emphasized the necessity of decentralized AI in a recently published manifesto. “Human values don’t average out,” Murati stated.

“Local knowledge can’t be centralized.” Her company argues that AI should help organizations cultivate their unique knowledge, rather than extract a snapshot of it to create a standard, centralized offering.

Here’s a list of a few AI-linked exchange-traded funds, spanning broad AI and technology, robotics and automation, active and generative AI, and AI infrastructure and energy.

ETF Name1-Month PerformanceYTD PerformanceOne Year Performance
Global X Artificial Intelligence & Technology ETF (NASDAQ:AIQ)-8.16%19.00%39.58%
iShares U.S. Technology ETF (NYSE:IYW)-2.17%23.29%40.55%
Robotics & Automation Global X Robotics & Artificial Intelligence ETF (NASDAQ:BOTZ)-5.80%-1.50%11.44%
iShares A.I. Innovation and Tech Active ETF (NYSE:BAI)-12.80%34.97%55..42%
Roundhill Generative AI & Technology ETF (NYSE:CHAT)-10.28%49.11%78.99%
iShares Future AI and Tech ETF (NYSE:ARTY)-11.12%41.30%64.80%

Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.

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