OpenAI'ın CTO'su Mira Murati'nin şirketten ayrıldığını daha önce sizlere aktarmıştık. Bir süredir gözlerden ırak olan Mira Murati, şimdi yeni yapay zeka girişimi Thinking Machines Lab ile karşımızda. Paylaşılan bilgilere göre Thinking Machines Lab'in amacı, yapay zeka sistemlerini daha yaygın olarak anlaşılır, özelleştirilebilir ve genel olarak yetenekli hale getirmek.Şirketin açıklamasına göre Thinking Machines Lab, tamamen otonom sistemler yerine insanların yapay zeka ile çalışmasına yardımcı olan ürünler geliştiriyor:“Herkesin yapay zekayı kendi benzersiz ihtiyaçları ve hedefleri için çalıştıracak bilgi ve araçlara erişebildiği bir gelecek inşa ediyoruz.”Thinking Machines Lab, “insanlarla iş birliği içinde çalışan” ve “insan uzmanlığının tüm yelpazesine uyum sağlayabilen ve daha geniş bir uygulama yelpazesine olanak tanıyan” “multimodal” sistemler oluşturmaya odaklanmayı planlıyor.Thinking Machines Lab'in çalışmalarının temel ilkelerinden biri de yapay zeka güvenliği olacak. Şirket, yayınladığı modellerin kötüye kullanımını önleyeceğini ifade ederken, düzenli olarak teknik araştırma ve kod yayınlama sözü veriyor. Bu anlamda Thinking Machines Lab'in operasyonlarını şeffaf bir şekilde yürütmesi bekleniyor.Thinking Machines Lab ekibiMurati, girişimin ekibini yapılandırmak için çalışmalarına devam ediyor. Murati, kısa bir süre önce OpenAI kurucu ortağı John Schulman'ı araştırma başkanı olarak işe aldı

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Thanks to Her and numerous other works of science fiction, it’s pretty easy to imagine a world in which everyone has their own personalized AI assistant — a helper who knows who we are, our occupations, our hobbies, our goals and passions, our likes and dislikes…what makes us “tick,” essentially.Some AI tools today offer a fairly bare bones, limited version of this functionality, such as ChatGPT’s memory feature and CharacterAI. But these still rely on your information flowing up to corporate servers outside of your control for analysis and processing. They also don’t allow for many third-party transactions, having your AI assistant make purchases on your behalf.For those especially concerned about privacy, or who want an AI model that actually retrains itself to adapt to the user’s individual preferences — making a unique AI assistant unlike any in the entire world — you’re kind of on your own.Until now: a new startup called PIN AI (not to be confused with the poorly reviewed hardware device the Ai Pin by Humane) today emerged from stealth to launch its first mobile app, which lets a user select an underlying open source AI model that runs directly, largely on their smartphone and remains private and totally customized to their preferences. Built with a decentralized infrastructure that prioritizes privacy, PIN AI aims to challenge Big Tech’s dominance over user data by ensuring that Personal AI serves individuals—not corporate interests.Founded by AI and blockchain experts from Columbia, MIT, and Stanford, PIN AI is led by Davide Crapis, Ben Wu, and Bill Sun, who bring deep experience in AI research, large-scale data infrastructure, and blockchain security

Just two months after its successful debut, Chinese AI startup DeepSeek has skyrocketed to become the world’s second most popular AI chatbot. According to website tracking firm SimilarWeb, DeepSeek.com now sees more daily visits than Google’s Gemini and Character.AI.This comes just over a week after DeepSeek overtook ChatGPT to become the top-rated free app on Apple’s U.S. App Store. The buzz around DeepSeek skyrocketed after reports showed its V3 model outperforming Meta’s Llama 3.1, OpenAI’s GPT-4o, and Alibaba’s Qwen 2.5 in third-party benchmarks—all while being significantly cheaper.Deepseek Overtakes Google GeminiGoogle Responds to the CompetitionBut Google isn’t backing down. Sundar Pichai, CEO of Alphabet, dismissed DeepSeek’s models as less efficient than Google’s. “The cost of actually using it is going to keep coming down, which will make more use cases feasible,” Pichai said.On February 5, Google also expanded its Gemini 2.0 lineup with several new AI models, featuring the much-anticipated Pro Experimental alongside the budget-friendly Flash and Flash Lite