
xAI Co-Founder Igor Babuschkin Resigns to Launch AI Safety Venture, Musk Sends Well Wishes
The AI researcher, who previously worked at Google's DeepMind and at OpenAI, played a pivotal role in shaping xAI from its earliest days. Reflecting on his journey, Babuschkin recalled the 'early scramble' to build infrastructure and AI models, adding that he was responsible for many of the 'foundational tools' used to launch and manage training jobs. Over time, he led engineering efforts across infrastructure, product development, and applied AI initiatives.
His exit marks another senior-level departure for xAI, which Musk launched in 2023 to challenge what he views as Big Tech's overreach in the AI space. Musk has been an outspoken critic of the industry, often accusing major players of imposing excessive restrictions and neglecting safety measures.
Today was my last day at xAI, the company that I helped start with Elon Musk in 2023. I still remember the day I first met Elon, we talked for hours about AI and what the future might hold. We both felt that a new AI company with a different kind of mission was needed.Building… — Igor Babuschkin (@ibab) August 13, 2025
This latest resignation follows that of Robert Keele, xAI's head of legal, who stepped down earlier this month. Just weeks before, Linda Yaccarino also vacated her role as CEO of X—the social media platform Musk integrated into xAI last year. These leadership changes mirror ongoing transitions across Musk's portfolio, including Tesla.
Responding to Babuschkin's announcement, Musk kept his message short but notably warm: 'Best of luck, Igor.' The cordial tone stood out to many observers, given Musk's sometimes sharp public exchanges with former colleagues.
Today was my last day at xAI, the company that I helped start with Elon Musk in 2023. I still remember the day I first met Elon, we talked for hours about AI and what the future might hold. We both felt that a new AI company with a different kind of mission was needed.Building… — Igor Babuschkin (@ibab) August 13, 2025
Babuschkin's decision comes at a time when competition in AI is reaching fever pitch. Industry giants like OpenAI, Google, and Anthropic are pouring resources into advanced AI systems expected to shape the next generation of technology. xAI has been positioning itself as a challenger, promoting its chatbot Grok as a more open alternative to products like ChatGPT.
While Babuschkin has not provided detailed plans for his new firm, the mission of Babuschkin Ventures—to fund safe AI development—aligns closely with a growing global push for responsible AI practices. Governments, researchers, and advocacy groups are increasingly focused on ensuring that powerful AI models are developed with robust safety protocols to avoid potential misuse or unintended harm.
For Musk, Babuschkin's departure represents another challenge in retaining top-tier talent at xAI, especially as rivals with far greater financial resources continue to lure experienced engineers and researchers. For Babuschkin, however, it's a shift from building AI systems to enabling others to build them responsibly—a goal that could attract interest from both investors and policymakers who are seeking to influence the ethical trajectory of AI.
As the AI race accelerates, Babuschkin's move highlights a crucial question facing the industry: not just how powerful AI can become, but how safely it can be built.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


The Hindu
29 minutes ago
- The Hindu
How students can spot value in a sea of AI-era certifications
The AI boom is powering everything from virtual assistants to self-driving cars. Online platforms are bursting with courses: 'AI Master' bootcamps, micro-credentials with blockchain stamps, and even 12-hour 'become a data scientist' marathons. The hype is real, and so is the pressure to 'upskill' fast. But here's the catch: not every course is a golden ticket. So, how do you, as a student, sift through the chaos to find certifications that truly matter? Don't fall for the flash: Scrolling through learning platforms feels like wandering a neon-lit arcade. Every course screams for your attention, your group chat is buzzing with friends signing up, and X posts make every new course sound like the thing. But stacking credentials without strategy is like buying every gadget at a sale. A 2025 Coursera report found that 72% of students regret taking courses that didn't align with their goals. The fix? Don't chase the sparkly promises. Instead, focus on building a skillset that screams you. You're not here to collect digital trophies. You're here to carve out a future. Watch for traps: Some courses are more hype than substance. Spot these warning signs to save your time and energy. If a course promises you'll 'master AI' in a weekend or become a 'data guru' with no prior skills, it's probably selling dreams, not skills. Real learning takes effort and time. If the instructors' bio is vague or they've never worked on actual AI projects, move on. You need mentors who've been in the trenches. Look for teachers who are data scientists at tech giants, researchers with published work, or engineers who've built AI tools. Platforms like Coursera often share instructor credentials; check them without hands-on work — think coding a model, debugging errors, or presenting a project —are often too fluffy. The best courses have you creating may be a predictive model, a computer vision app, or a data dashboard. These projects show employers you can do AI, not just talk about it. If the course is all abstract theory with no tie to real-world problems, like AI in healthcare, finance, or art, it won't equip you for what employers want. Seek the real deal: Learning AI is a journey, and you need a crew. Courses with forums, peer reviews, or mentorship, like specialisations, keep you motivated and sharp. Check the credentials. Does the certificate carry weight? Google's AI certificates or MIT's MicroMasters are respected because they are rigorous and tied to industry needs. Don't just trust the course website. Scroll through Reddit, check CourseReport reviews, or ping alumni on LinkedIn. A 2024 Glassdoor survey found that 65% of students who vetted courses felt more confident in their career prep. Own your future: Don't chase what's loud on X or what your friends are doing. Chase what sets your heart on fire. Does this course make you better at what you love? Does it push you toward the future you want? Your learning path should reflect your dreams, not the world's noise. The right certification is the one that helps you become the innovator, problem-solver, or leader you're destined to be. In a sea of options, your focus is your strength. The writer is a professional with over 29 years of experience in corporate communications.


Economic Times
32 minutes ago
- Economic Times
Former Twitter CEO Parag Agarwal launches new AI startup
The company, which offers a cloud-based deep research API that lets AI applications conduct real-time research on the internet, accessing and synthesising public web data, and ultimately providing detailed citations, emerged from stealth mode on Wednesday with millions of queries from early adopters. Tired of too many ads? Remove Ads Tired of too many ads? Remove Ads Former Twitter CEO Parag Agrawal is back in the tech game with Parallel Web Systems , his artificial intelligence (AI) startup designed to change how AI agents interact with the company emerged from stealth mode on Wednesday with a cloud-based research platform with millions of queries from early adopters. It has raised $30 million from prominent investors, including Khosla Ventures Index Ventures , and First Round Capital , according to the company's posts on social builds infrastructure and tools specifically designed for AI agents to interact with the web intelligently. It offers a cloud-based deep research API that lets AI applications conduct real-time research on the internet, accessing and synthesising public web data, and ultimately providing detailed flagship offerings consist of eight distinct AI research engines. Each is designed for different computational needs. This allows AI agents to do complex tasks such as cross-disciplinary synthesis and long-form research. Parallel claims its technology outperforms leading AI models like OpenAI's GPT-5 in benchmarks for web research."Some of the fastest-growing AI companies use Parallel to bring web intelligence directly into their platform and agents. Public enterprises automate traditionally human workflows, exceeding human-level accuracy with Parallel. Coding agents rely on our search to find docs and debug issues," the company said in a blog API agents power coding assistants, knowledge workers, and research automation across sectors. Enterprises also use these agents to automate complex takes on browser-based infrastructure providers as well as large-scale LLM-driven search agents like OpenAI and public launch comes as Agrawal is fighting an ongoing legal battle with Elon Musk over $50 million in unpaid severance from his dismissal as Twitter's CEO in October 2022. This dispute came after Musk's $44 billion acquisition of the social media has alleged that Musk refused to pay out contractual obligations on purpose to Agrawal and other former Twitter senior staff after he took over the company. Musk's counterarguments in legal filings claim Agrawal was fired 'for cause'. No deal has been reached between the parties yet.


Time of India
42 minutes ago
- Time of India
How Elon Musk may be right when he told Mark Zuckerberg: Many top engineers of Meta are joining my AI company xAI, and I am paying them …
recently claimed that many top engineers from Meta are now joining his AI company, xAI, asserting that his startup is winning the talent war not with 'insanely high' salaries but with a "hyper merit-based" culture. Tired of too many ads? go ad free now This claim appears to be backed by a recent report which indicates a significant talent migration from major tech firms to Musk's AI company. According to a report by The Information, xAI has successfully recruited at least 40 former Google employees since 2023 – essentially supporting Musk's argument of influx of talent from technology giants. Citing LinkedIn and X posts and profiles from xAI employees, the report claims that out of the 40 hires from Google, a notable 19 of those engineers and researchers joined xAI this year alone. Not only Meta and Google, xAI is reported to have hired AI talent from Microsoft. What Elon Musk said on Meta engineers joining xAI Recently, Musk said that a significant number of engineers from Meta are now joining xAI, crediting this appeal to xAI's 'hyper merit-based' culture, where outstanding performance is directly tied to a substantial increase in compensation. Additionally, he highlights the company's 'vastly more market cap growth potential than Meta.' 'Many strong Meta engineers have and are joining xAI and without the need for insane initial comp,' Musk wrote on X, explaining that xAI offers competitive, yet sustainable, compensation and a high-potential alternative to tech giants. The Information's report said that this movement of top-tier talent is central to the development of Grok 4 , a new AI model that Musk claims outperforms similar models from rivals like OpenAI, Meta and Google. Tired of too many ads? go ad free now 'Few employees leaving xAI for other companies ' While a few employees have left xAI for other companies, such as co-founder Kyle Kosic who moved to OpenAI, and infrastructure engineering head Uday Rudarraju , there hasn't been a significant outflow of talent to Google, Microsoft or Meta. Recently, Igor Babuschkin, co-founder of xAI, announced his resignation in a long post shared on X (formerly known as Twitter). Babuschkin talked about his journey from being a physics student to becoming a co-founder and building xAI. He described the experience as 'the most exhilarating time of our lives,' likening his departure to 'a proud parent driving away after sending their kid to college'. He also revealed his early days at xAI were not easy as starting an AI company from scratch required a lot of hard work. xAI is well-known for its demanding work environment, with some teams reportedly working seven days a week, The Information report said. While such an intense pace could lead to burnout for some, many employees are highly motivated by the company's ambitious mission and are eager to contribute to its goals, embracing the rigorous schedule as part of the startup culture. Lava Blaze AMOLED 2: Budget Smartphone with Mid-Range Vibes