
Meta names ChatGPT co-creator as chief scientist of Superintelligence Lab
"In this role, Shengjia will set the research agenda and scientific direction for our new lab working directly with me and Alex," Zuckerberg wrote in a Threads post, referring to Meta's Chief AI Officer Alexandr Wang, who Zuckerberg hired from startup Scale AI when Meta took a big stake in it.
Zhao, a former research scientist at OpenAI, co-created ChatGPT, GPT-4 and several of OpenAI's mini models, including 4.1 and o3.
He is among several researchers who have moved from OpenAI to Meta in recent weeks, part of a broader talent arms race as Zuckerberg aggressively hires from rivals to close the gap in advanced AI. Meta has been offering some of Silicon Valley's most lucrative pay packages and striking startup deals to attract top researchers, a strategy that follows the underwhelming performance of its Llama 4 model.
Meta launched the Superintelligence Lab recently to consolidate work on its Llama models and long‑term artificial general intelligence ambitions. Zhao is a co-founder of the lab, according to the Threads post, which operates separately from FAIR, Meta's established AI research division led by deep learning pioneer Yann LeCun.
Zuckerberg has said Meta aims to build 'full general intelligence' and release its work as open source — a strategy that has drawn both praise and concern within the AI community.
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Source & Image Credit: zollotech Filed Under: Apple, Apple iPhone, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.


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GitHub Spark : No Code? No Problem! Build Full Stack Apps Easily
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These features make GitHub Spark a powerful tool for quickly building and deploying functional applications, particularly for smaller projects or when speed is a priority. GitHub Spark: Transforming Ideas into Apps with AI Watch this video on YouTube. Unlock more potential in AI coding by reading previous articles we have written. Best Use Cases: Where GitHub Spark Excels GitHub Spark is particularly well-suited for scenarios where simplicity and efficiency are critical. Some of the most effective use cases include: Prototyping: Quickly create proof-of-concept applications to test new ideas or demonstrate functionality to stakeholders. Quickly create proof-of-concept applications to test new ideas or demonstrate functionality to stakeholders. Internal Tools: Develop custom tools tailored to specific workflows for small teams or businesses, improving productivity without requiring extensive development resources. Develop custom tools tailored to specific workflows for small teams or businesses, improving productivity without requiring extensive development resources. Personal Projects: Build apps for personal use, such as task organizers or hobby-related tools, without needing advanced coding skills. Despite its strengths, GitHub Spark is not yet optimized for large-scale, enterprise-level applications. Complex requirements, such as intricate API integrations, highly customized architectures, or advanced security protocols, may still necessitate traditional development methods. Streamlined Deployment and Accessibility Once an application is complete, GitHub Spark simplifies the deployment process. Users can publish and update their apps directly from the platform, with seamless integration into GitHub or CodeSpaces for version control and collaboration. This browser-based approach eliminates the need for local development environments, making the entire process more accessible and efficient for developers of all skill levels. The platform's emphasis on accessibility extends beyond deployment. By removing the need for specialized hardware or software, GitHub Spark ensures that anyone with a browser and an internet connection can participate in app development. This widespread access of technology has the potential to empower a new generation of creators. Pricing and Availability GitHub Spark is currently available in public preview for GitHub Copilot Pro Plus subscribers at a monthly cost of $39. This pricing structure makes it an affordable option for individuals, freelancers, and small teams looking to accelerate their development workflows without incurring significant expenses. As the platform continues to evolve, its pricing model may expand to accommodate additional features or broader use cases. Impact on the Future of Software Development GitHub Spark reduces the technical expertise required to build applications, it opens the door for a more diverse range of individuals to bring their ideas to life. This inclusivity has the potential to drive innovation across industries, particularly in areas where technical barriers have historically limited participation. While GitHub Spark is not yet a replacement for traditional development in all scenarios, its ability to rapidly generate functional applications marks a pivotal moment in the evolution of app development. As the platform matures, it could play a fantastic role in shaping how software is built, deployed, and maintained in the future. By bridging the gap between technical and non-technical users, GitHub Spark is poised to redefine the boundaries of what is possible in software creation. Media Credit: The Cloud Girl Filed Under: AI, Top News Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.