Patent ownership for AI models heavily concentrated in Mainland China, says Clarivate analyst
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TechCrunch
34 minutes ago
- TechCrunch
Meta built its AI reputation on openness — that may be changing
Top members of Meta's new Superintelligence Lab discussed pivoting away from the company's powerful open-source AI model, Behemoth, and instead developing a closed model, reports The New York Times. Sources told The Times that Meta had completed training on Behemoth, but delayed its release due to underwhelming internal performance. When the new Superintelligence Lab launched, testing on the model reportedly halted. The discussions are just that – discussions. Meta CEO Mark Zuckerberg would still need to sign off on any changes, and a company spokesperson told TechCrunch that Meta's position on open source AI is 'unchanged.' 'We plan to continue releasing leading open source models,' the spokesperson said. 'We haven't released everything we've developed historically and we expect to continue training a mix of open and closed models going forward.' The spokesperson did not comment on Meta's potential shift away from Behemoth. If that happens so that Meta can prioritize closed-source models, it would mark a major philosophical change for the company. While Meta deploys more advanced closed-source models internally, like those powering its Meta AI assistant, Zuckerberg had made open source a central part of the company's external AI strategy — a way to keep AI development moving faster. He loudly positioned the Llama family's openness as a differentiator from competitors like OpenAI, which Zuckerberg publicly criticized for becoming more closed after partnering with Microsoft. But Meta is under pressure to monetize beyond ads as it pours billions into AI. That includes paying massive signing bonuses and nine-figure salaries to poach top researchers, building out new data centers, and covering the enormous costs of developing artificial general intelligence (AGI), or 'superintelligence.' Techcrunch event Save up to $475 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Save $450 on your TechCrunch All Stage pass Build smarter. Scale faster. Connect deeper. Join visionaries from Precursor Ventures, NEA, Index Ventures, Underscore VC, and beyond for a day packed with strategies, workshops, and meaningful connections. Boston, MA | REGISTER NOW Despite having one of the top AI research labs in the world, Meta still lags behind rivals like OpenAI, Anthropic, Google DeepMind, and xAI when it comes to commercializing its AI work. If Meta prioritizes closed models, it could suggest that openness was a strategic play, not an ideological one. Past comments from Zuckerberg hint at an ambivalence toward committing to open sourcing Meta's models. On a podcast last summer, he said: 'We're obviously very pro open source, but I haven't committed to releasing every single thing that we do. I'm basically very inclined to think that open sourcing is going to be good for the community and also good for us because we'll benefit from the innovations. If at some point, however, there's some qualitative change in what the thing is capable of, and we feel like it's not responsible to open source it, then we won't. It's all very difficult to predict.' Closed models would give Meta more control and more ways to monetize – especially if it believes the talent it has acquired can deliver competitive, best-in-class performance. Such a shift could also reshape the AI landscape. Open-source momentum, largely driven by Meta and models like Llama, could slow, even as OpenAI gears up to release its still-delayed open model. Power could swing back toward the major players with closed ecosystems, while open-source development might remain a product of grassroots efforts. The ripple effects would continue across the startup ecosystem, especially for smaller companies focused on fine-turning, safety, and model alignment that rely on access to open foundation models. On the world stage, Meta's retreat from open source could potentially cede ground to China, which has embraced open-source AI – like DeepSeek and Moonshot AI – as a way to build domestic capability and global influence.
Yahoo
42 minutes ago
- Yahoo
Overwatch Imaging Awarded Phase II SBIR by the U.S. Navy
Contract Work Will Deliver Automated AI-Powered Imagery Intelligence Solution HOOD RIVER, Ore., July 14, 2025--(BUSINESS WIRE)--Overwatch Imaging, a leader in automated airborne intelligence technology, has been awarded a Phase II Small Business Innovation Research (SBIR) contract by the U.S. Navy (USN) to develop and demonstrate AI-enabled, automated imagery intelligence software for electro-optical and infrared (EO/IR) sensor platforms. Under the two-year Phase II effort, Overwatch Imaging will deliver a solution to automate sensor control, real-time AI-based image analysis, data-reduced intelligence packaging, and seamless integration with USN mission systems. The project will provide capabilities compatible across all USN aircraft that lower operator workloads, utilize existing systems and data, increase speed of intelligence delivery, and provide real-time situational awareness to tactical and strategic leadership. This solution will build on Overwatch Imaging's commercially available Automated Sensor Operator (ASO) software, expanding it for USN-specific, joint, and U. S. Coast Guard mission contexts and operational environments. The U.S. Navy published its Priority Technology Areas in a June memo with a goal of "accelerating the adoption of emerging technologies that will allow us to outpace adversaries and ensure readiness in an unpredictable world." The first priority listed in the memo is AI / Autonomy, which is noted as capable of "enabling decision advantage and enhancing the ability of human-machine teaming." Specifically, the AI / Autonomy Level 1 priority is for "AI-driven solutions for real-time data analysis and automated decision-making to enhance operational effectiveness." This work is perfectly aligned with the Navy's technology priority as it enables seamless integration of AI / Autonomy into its existing and new imaging systems, in time to make a difference against current and emerging threats. "This award represents an important step forward in our efforts to deliver a scalable, mission-ready solution for Naval operations facing time-critical detection challenges," said Greg Davis, Founder and CEO of Overwatch Imaging. "By reducing reliance on human operators to perform repetitive and focus intensive EO/IR functions, this solution will accelerate the flow of actionable intelligence while freeing operators to focus on more complex situational awareness and decision-making tasks." This award follows a successful Phase I research effort and reinforces Overwatch Imaging's role as a key innovator in defense-oriented autonomous intelligence, surveillance and reconnaissance (ISR) solutions. View source version on Contacts Media Contact: Adam Lapierre Marketing Manager I Overwatch Imagingadam@ Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
New York Post
an hour ago
- New York Post
People drowning in debt are turning to ChatGPT for help: ‘I need to do something about it'
Jenn Allan, a realtor from Delaware, found herself in a ton of debt a few years ago, but with the help of AI — she's managed to pay off half of it. She began posting her journey to being debt-free on her TikTok account @_jenn.allan, back in October 2024, but it wasn't until she turned to ChatGPT for help that her debt started to rapidly decrease. After enduring what she called a 'traumatic birth' back in 2023 that landed her daughter in the NICU, Allan quickly racked up $23,000 in credit card debt when she was forced to take a break from work due to severe postpartum depression, according to the Daily Mail. Advertisement The mom found herself in a ton of debt, just a few years ago. TikTok/@_jenn.allan Feeling desperate, Allan turned to AI for some help. The mom sent the following prompt to the chatbot: 'I am in credit card debt, I don't know how much credit card debt I am in but I need to do something about it and I don't know where to start,' according to the outlet. Advertisement The bot suggested Allan organize herself by creating a 'debt repayment tracker in Google Sheets' to figure out how much money she was in the hole for. From there, every day for a month, she was to complete a new task to help her pay back some of the owed money. Breaking it down into a 30-day challenge also helps debt repayment seem less daunting, Allan said. Kittiphan – 'Some of the ideas actually made me money right away — and [overall it] kept me accountable every day,' she told the Daily Mail. Advertisement In addition to her 30-day challenge, ChatGPT helped her learn about new side hustles she could take on for extra cash. It also provided her with meal ideas so she could cook at home more. After putting in the work with help from her trusty AI tool — the 35-year-old managed to pay off $12,000 of her debt, as of July 2025. And she isn't the only one following this method to become debt-free. Advertisement TikTok user @ shared in one of her videos that she has a goal to pay off $26,503 in debt in just 9 months, with the help of ChatGPT. 'Being debt-free is the dream. Being financially free is the dream and doing it as fast as possible is the goal,' she said in one of her videos. The content creator revealed that with a simple prompt to the chatbot, she has managed to already knock off over $2,000.
