Latest news with #Ai4
Time of India
18 hours ago
- Science
- Time of India
The Godfather of AI's Unsettling Solution: Instincts Save Us from Superintelligent Machines?
Shorter Timelines, Bigger Stakes Live Events A Call to Action Before It's Too Late Recently, in a keynote at the Ai4 conference, Geoffrey Hinton , often called the 'Godfather of AI,' painted such a future and offered a provocative solution. Hinton believes that if AIs become vastly more intelligent than us, traditional methods of control will fail. Instead, he urges researchers to train AIs with 'maternal instincts,' a deeply embedded urge to care for and nurture maternal instincts? Hinton points out one striking fact: throughout nature and culture, the only scenario where a more intelligent being is consistently controlled by a less intelligent one is remarkably when a mother allows her baby to 'control' her through care and love. For Hinton, this relationship holds a vital clue: only if we program powerful AIs to value our well-being above all else do we stand a chance at peaceful suggestion is not a mere philosophical musing. Hinton openly warned that 'if (AI) is not going to parent me, it's going to replace me.' The stakes, in his mind, are existential. Left unchecked, superintelligent AI could either ignore, control, or even eliminate humanity, drawn by goals and incentives unaligned with our own survival. Hinton places the probability of a catastrophic AI-driven extinction at a chilling 10% or more within the next 30 years a risk too grave to most alarming is that Hinton's forecast for superintelligent AI sometimes called AGI (Artificial General Intelligence) has shortened dramatically. He once speculated we had several decades before facing this challenge. Now, he warns the world might have only five to twenty years to get it right, as AI development accelerates at an unprecedented how exactly to instil something like maternal love or empathy in a machine remains an open problem. Hinton admits he doesn't know the technical path forward but insists we must try. He stresses that almost all resources currently flow into making AI more powerful, not safer: a lopsided race that overlooks existential lesson from the godfather of AI is stark: humanity's best and perhaps only survival strategy is to nurture the machines we build, teaching them to care before they become ungovernable forces. Hinton urges governments and companies to invest urgently in researching 'AI alignment,' the science of making sure machines have our best interests at technologists, policy makers, and the public, it's a critical time to ask: what values do we want in our AI 'children' before they outgrow us? Because if we wait until they're smarter than us, it will be too late.
Channel Post MEA
21 hours ago
- Business
- Channel Post MEA
MongoDB Announces New Product Innovations & Expanded Partner Ecosystem
At the Ai4 conference, MongoDB announced a series of product innovations and expansions to its partner ecosystem that make it easier to build reliable and accurate AI applications. By providing industry-leading embedding models and a fully integrated, AI-ready data platform—and by assembling a world-class ecosystem of AI partners—MongoDB is giving organizations everywhere the tools to deliver reliable, performant, cost-effective AI. Organizations recognize the business potential of AI. But according to the 2025 Gartner Generative and Agentic AI in Enterprise Applications Survey, 68% of IT leaders felt that they struggled to keep up with the rapid pace at which gen AI tools are rolled out, and 37% agreed that their application vendors drive their enterprise application gen AI strategy. Too many organizations are stuck in the messy middle with their AI implementation, seeing some benefits but not enough to warrant wider adoption. Businesses express that this gap in AI adoption—a barrier for developers and enterprises alike—is due to the complexity of the AI stack , the importance and challenge of achieving accuracy for mission-critical applications, and price-performance concerns that emerge at scale. To address these issues, MongoDB continues to invest in streamlining the AI stack and introducing more performant, more cost-effective models. Customers can integrate Voyage AI's latest embedding and reranking models with their MongoDB database infrastructure. MongoDB has also increased its interoperability with industry-leading AI frameworks—by launching the MongoDB MCP Server to give agents access to tools and data, and by expanding its comprehensive AI partner ecosystem to give developers more choice. These capabilities are fueling substantial momentum among developers building next-generation AI applications. Enterprise AI adopters like Vonage, LGU+, and The Financial Times—plus approximately 8,000 startups, including the timekeeping startup Laurel, and Mercor, which uses AI to match talent with opportunities—have chosen MongoDB to help build their AI projects in just the past 18 months. Meanwhile, more than 200,000 new developers register for MongoDB Atlas every month. 'Databases are more central than ever to the technology stack in the age of AI. Modern AI applications require a database that combines advanced capabilities—like integrated vector search and best-in-class AI models—to unlock meaningful insights from all forms of data (structure, unstructured), all while streamlining the stack,' said Andrew Davidson , SVP of Products at MongoDB. 'These systems also demand scalability, security, and flexibility to support production applications as they evolve and as usage grows. By consolidating the AI data stack and by building a cutting-edge AI ecosystem, we're giving developers the tools they need to build and deploy trustworthy, innovative AI solutions faster than ever before.' Accelerating AI innovation with enhanced product capabilities Voyage AI by MongoDB recently introduced industry-leading embedding models designed to unleash new levels of AI accuracy at a lower cost: Context-aware embeddings for better retrieval: The new voyage-context-3 model brings a breakthrough in AI accuracy and efficiency. It captures the full document context—no metadata hacks, LLM summaries, or pipeline gymnastics needed—delivering more relevant results and reducing sensitivity to chunk size. It works as a drop-in replacement for standard embeddings in RAG applications. The new voyage-context-3 model brings a breakthrough in AI accuracy and efficiency. It captures the full document context—no metadata hacks, LLM summaries, or pipeline gymnastics needed—delivering more relevant results and reducing sensitivity to chunk size. It works as a drop-in replacement for standard embeddings in RAG applications. New highs in model performance: The latest general-purpose models, voyage-3.5 and voyage-3.5-lite, raise the bar on retrieval quality, delivering industry-topping accuracy and price-performance. The latest general-purpose models, voyage-3.5 and voyage-3.5-lite, raise the bar on retrieval quality, delivering industry-topping accuracy and price-performance. Instruction-following reranking for improved accuracy: With rerank-2.5 and rerank-2.5-lite, developers can now guide the reranking process using instructions, unlocking greater retrieval accuracy. These models outperform competitors across a comprehensive set of benchmarks. MongoDB also recently introduced the MongoDB Model Context Protocol (MCP) Server in public preview. This server standardizes connecting MongoDB deployments directly to popular tools like GitHub CoPilot in Visual Studio Code, Anthropic's Claude, Cursor, and Windsurf—allowing developers to use natural language to interact with data and manage database operations—and streamlines AI-powered application development on MongoDB, accelerating workflows, boosting productivity, and reducing time to market. Since launching in public preview, the MongoDB MCP Server has rapidly grown in popularity, with thousands of users building on MongoDB every week. MongoDB has also seen significant interest from large enterprise customers looking to incorporate MCP as part of their agentic application stack. 'Many organizations struggle to scale AI because the models themselves aren't up to the task. They lack the accuracy needed to delight customers, are often complex to fine-tune and integrate, and become too expensive at scale,' said Fred Roma , SVP of Engineering at MongoDB. 'The quality of your embedding and reranking models is often the difference between a promising prototype and an AI application that delivers meaningful results in production. That's why we've focused on building models that perform better, cost less, and are easier to use—so developers can bring their AI applications into the real world and scale adoption.' 'As more enterprises deploy and scale AI applications and agents, the demand for accurate outputs and reduced latency keeps increasing,' said Jason Andersen , Vice President and Principal Analyst at Moor Insights and Strategy. 'By thoughtfully unifying the AI data stack with integrated advanced vector search and embedding capabilities in their core database platform, MongoDB is taking on these challenges while also reducing complexity for developers.' Expanding the MongoDB AI ecosystem MongoDB has also expanded its AI partner ecosystem to help customers build and deploy AI applications faster: Enhanced evaluation capabilities: Galileo , a leading AI reliability and observability platform, is now a member of the MongoDB partner ecosystem, which is designed to give customers flexibility and choice. Galileo enables reliable deployment of AI applications and agents built on MongoDB, with continuous evaluations and monitoring. , a leading AI reliability and observability platform, is now a member of the MongoDB partner ecosystem, which is designed to give customers flexibility and choice. Galileo enables reliable deployment of AI applications and agents built on MongoDB, with continuous evaluations and monitoring. Resilient, scalable AI applications: Temporal , a leading open-source Durable Execution platform is now also a member of the MongoDB partner ecosystem. Temporal enables developers to orchestrate reliable AI use cases built on MongoDB, including agents, RAG, and context engineering pipelines that manage and serve dynamic, structured context at runtime. With Temporal's Durable Execution, developers don't need to write plumbing code for resilience or scale. AI applications seamlessly recover across failures, reliably run for a long time, easily handle external interactions, and scale horizontally. Developers can also get visibility into every step of AI workflows to rapidly debug live issues. These partner capabilities significantly expand MongoDB's AI ecosystem for developing AI applications. , a leading open-source Durable Execution platform is now also a member of the MongoDB partner ecosystem. Temporal enables developers to orchestrate reliable AI use cases built on MongoDB, including agents, RAG, and context engineering pipelines that manage and serve dynamic, structured context at runtime. With Temporal's Durable Execution, developers don't need to write plumbing code for resilience or scale. AI applications seamlessly recover across failures, reliably run for a long time, easily handle external interactions, and scale horizontally. Developers can also get visibility into every step of AI workflows to rapidly debug live issues. These partner capabilities significantly expand MongoDB's AI ecosystem for developing AI applications. Streamlined AI workflows: MongoDB's partnership with LangChain is redefining how developers build AI applications and agent-based systems by streamlining development and unlocking the value of customers' real-time, proprietary data. Recent advancements include the introduction of GraphRAG with MongoDB Atlas, which enables greater transparency into the retrieval process, fostering trust and providing better explainability of LLMs responses. Another advancement is natural language querying on MongoDB, which allows agentic applications to directly interact with MongoDB data. These integrations empower developers to build reliable, sophisticated AI solutions—from advanced retrieval-augmented generation (RAG) systems to autonomous agents capable of querying data and performing advanced retrieval. 'As organizations bring AI applications and agents into production, accuracy and reliability are of paramount importance,' said Vikram Chatterji , CEO and co-founder at Galileo. 'By formally joining MongoDB's AI ecosystem, MongoDB and Galileo will now be able to better enable customers to deploy trustworthy AI applications that transform their businesses with less friction.' 'Building production-ready agentic AI means enabling systems to survive real-world reliability and scale challenges, consistently and without fail,' said Maxim Fateev, CTO at Temporal. 'Through our partnership with MongoDB, Temporal empowers developers to orchestrate durable, horizontally scalable AI systems with confidence, ensuring engineering teams build applications their customers can count on.' 'As AI agents take on increasingly complex tasks, access to diverse, relevant data becomes essential,' said Harrison Chase , CEO & Co-founder at LangChain. 'Our integrations with MongoDB, including capabilities like GraphRAG and natural language querying, equip developers with the tools they need to build and deploy complex, future-proofed agentic AI applications grounded in relevant, trustworthy data.'
India.com
2 days ago
- India.com
'AI will wipe out humanity...': Why researchers in US are worried about AI safety amid rise of artificial intelligence?
Representational Image AI systems have witnessed rapid advancements over the last five years, transforming from simple search bots to advanced tool that can mimic human reasoning, perform research-intensive tasks with seconds, have even begun to contribute to the future AI development as several tech giants have tasked advanced AI models with AI research, something that strictly a human-dominated domain until recently. Why AI researchers are worried about AI safety? The express AI boom has sparked panic among AI researchers, including the pioneers of artificial intelligence research, such as Geoffrey Hinton, OpenAI founder Sam Altman, and others. Top AI scientists have expressed the need for strict AI safety norms as they believe that a super-intelligent AI or Artificial General Intelligence (AGI) system could easily go rogue and wipe out the entire human race to pursue its self-perceived goals, that are different from its creators' vision, a phenomenon known as misalignment. What does 'Godfather of AI' say? In a recent address, Geoffrey Hinton, widely known as the 'Godfather of AI', issued a issued a chilling warning about rapid surge of artificial intelligence, asserting that an advanced AGI could potentially wipe out humanity if safety measures are not embedded within AI systems. Speaking at the Ai4 conference in Las Vegas, Geoffrey Hinton presented an unconventional proposal to ensure AI safety, suggesting that 'maternal instincts' must be embedded into AI systems so they can learn to protect and care for human beings. The 77-year-old AI pioneer noted that human dominance over AI will become unviable once AI systems become more intelligent than humans, enabling them to bypass limitations imposed by their human creators. The renowned British-Canadian computer scientist believes that any efforts to keep AI 'submissive' are doomed to fail because a super-intelligent AI will have more problem-solving capabilities and creativity than its creators. How AI will replace human coders? Similarly, OpenAI founder and CEO Sam Altman flagged concerns over the growing role of AI in software development, warning that it would result in a drastic reduction of human software engineers in the future. Altman noted that while the transition is unlikely to happen overnight, but then 'at some point, yeah, maybe we do need less software engineers.' In an interview with Stratechery's Ben Thompson, Sam Altman revealed AI was already over 50 percent of code in many companies, and highlighted need for mastering AI tools to stay ahead of the curve as coding skills are becoming increasing redundant and do not provide a competitive edge anymore. The OpenAI boss also highlighted the potential of 'agentic coding,' where AI autonomously tackles complex development tasks, though he admitted that 'no one's doing it for real yet.' Notably, other tech leaders like Meta's Mark Zuckerberg and Anthropic CEO Dario Amodei have echoed Altman's views on AI dominating the software development industry in the near future. Amodei has predicted that AI will be responsible for writing all software code within a year, while Zuckerberg, in a conversation with Joe Rogan in January, revealed that AI will soon generate a significant portion of their application code.
Egypt Independent
3 days ago
- Business
- Egypt Independent
Top exec reveals the ‘stupidest thing' companies adopting AI can do
Las Vegas — The president of Cisco rejects the doomsday warnings from some tech leaders that artificial intelligence will make entry-level jobs vanish. 'I just refuse to believe that humans are going to be obsolete. It just seems like it's an absurd concept,' Jeetu Patel, who's also the chief product officer at AI infrastructure company Cisco, told CNN. While Patel acknowledged there will be 'growing pains where people will get disrupted,' he strongly pushed back on Anthropic CEO Dario Amodei's comments saying AI will spike unemployment to as high as 20% and eliminate half of all white-collar entry level jobs. He's one of several tech leaders that have pushed back on Amodei's narrative; others have said AI is likely to change jobs by requiring workers to adopt new skills rather than wiping out jobs completely. Still, his comments come amid a plunge in entry-level hiring and as tech giants are increasingly using AI in the workplace, raising questions about the future of work. 'Dario is a friend. We are investors in Anthropic. I have a ton of respect for what he's done. In this area though, I have a slightly different opinion on a couple of different dimensions,' Patel said Wednesday at Ai4, an AI conference in Las Vegas. 'I reject the notion that humans are going to be obsolete in like five years, that we're not going to have anything to do and we're going to be sitting on the beach… It doesn't make any sense.' In particular, Patel said he has a 'huge concern' with Amodei's line of thinking that AI could wipe out entry-level jobs because companies benefit from adding younger workers who often better understand new technologies. 'If you just say, 'I'm going to eradicate all entry-level jobs,' that's the stupidest thing a company can do in the long term because what you've done is you've actually taken away the injection of new perspective,' the Cisco exec said. 'A really bad strategy' Patel argued that for some jobs, having significant experience can be a 'massive liability.' For instance, he said people often hold assumptions about things that may not have worked five years ago, but do now. That's why Patel said he spends 'an enormous amount of time' with younger employees and interns. Jeetu Patel, the president of Cisco, in April 2023. He said younger employees and interns often give new perspectives. Al Drago/Bloomberg/Getty Images 'I learn a lot from people who've just gotten out of college because they have a fresh and unique perspective. And that perspective coupled with (my) experience makes magic happen,' Patel said. 'It would be a really bad strategy to not have early in career people and entry level people injected in your workplace.' Is AI already hurting entry-level workers? However, some economists say there are early signs suggesting AI may already be depressing entry-level jobs. Even though the overall job market has been mostly healthy, the Class of 2025 faces the worst job market for new college graduates in years. For the first time since tracking started in 1980, the unemployment rate for recent graduates (those 22 to 27 years old with at least a bachelor's degree) is higher than the national unemployment rate, according to Oxford Economics. Entry-level hiring has tumbled by 23% between March 2020 and May 2025, outpacing the 18% decline in overall hiring over that span, according to data from LinkedIn. This is happening for a variety of reasons, some of them unrelated to AI. The Class of 2025 faces the worst job market for new college graduates in years. Allison Robbert/TheBut AI does seem to be playing a role, some economists say. For instance, Oxford Economics noted that employment in two industries vulnerable to AI disruption — computer science and mathematics — has dropped by 8% since 2022 for recent graduates. By comparison, employment has little changed in those industries for older workers. 'AI is definitely displacing some of these lower-level jobs,' Matthew Martin, senior US economist at Oxford Economics, told CNN in June. 'AI can't buy you a steak dinner' Economists and AI researchers say the jobs most at risk involve repetitive tasks that can be automated, such as data input. 'The less interesting clerical jobs will go away. They will be automated. And if you don't automate, you'll go out of business,' Alan Ranger, vice president of marketing at Cognigy, told CNN on the sidelines of Ai4. Cognigy would know: It sells conversational AI agents that provide customer support for banks, airlines and other companies. Ranger said Cognigy's AI agents came to the rescue when German airline Lufthansa had to cancel every flight due to a strike in Germany earlier this year. The technology allowed Lufthansa to rebook thousands of flights per minute, he said. Ranger argued that companies won't massively lay off customer support workers because humans still need to manage the AI agents, design the software and tackle other complex issues. Yet he did concede that companies will have fewer customer support workers in the future as people leave the industry and retire, and because firms will hire for different roles. 'Account management and sales roles won't get replaced anytime soon,' Ranger said. 'An AI can't buy you a steak dinner.' Patel, the Cisco executive, said the onus is on the tech industry and society as a whole to ensure a smooth transition to superintelligent AI. 'In tech, we live in a bubble. We keep thinking, 'Oh, disruption is just part of it.' But when a steel mill worker gets disrupted, they don't become an AI prompt engineer,' he said. Patel said there is a lot of retraining and reskilling that must be done in tandem with governments and educators. 'The tech community has to actually take some responsibility for this,' he said. 'Because if we don't, you will create some level of pain in society and we want to make sure we avoid that.'
India.com
3 days ago
- Science
- India.com
AI could wipe out human race if…: ‘Godfather of AI' gives chilling warning about AGI, says only method for survival is…
Home Viral AI could wipe out human race if…: 'Godfather of AI' gives chilling warning about AGI, says only method for survival is… AI could wipe out human race if…: 'Godfather of AI' gives chilling warning about AGI, says only method for survival is… Geoffrey Hinton presented an unconventional proposal to ensure AI safety, suggesting that "maternal instincts" must be embedded into AI systems so they can learn to protect and care for human beings. (File) Renowned British-Canadian computer scientist, Geoffrey Hinton, widely known as the 'Godfather of AI', has issued a chilling warning about rapid surge of artificial intelligence, warning that super-intelligent AI or Artificial General Intelligence (AGI), has the potential to wipe out the entire human race if safety measures are not embedded within its system. Why Geoffrey Hinton believes AI could wipe out humanity? Speaking at the Ai4 conference in Las Vegas, Geoffrey Hinton presented an unconventional proposal to ensure AI safety, suggesting that 'maternal instincts' must be embedded into AI systems so they can learn to protect and care for human beings. The 77-year-old AI pioneer noted that human dominance over AI will become unviable once AI systems become more intelligent than humans, enabling them to bypass limitations imposed by their human creators. Hinton believes that any efforts to keep AI 'submissive' are doomed to fail because a super-intelligent AI will have more problem-solving capabilities and creativity than its creators. What is Hinton's 'maternal instinct' design? The Nobel laureate suggested that the design of AI system must be inspired by the relationship humans share with their offspring, noting that integrating the 'maternal care' instinct would enable AI to become naturally inclined towards the care and protection of human beings, and such systems would be less likely act against interests of the human race. 'Super- intelligent caring AI mothers, most of them won't want to get rid of the maternal instinct because they don't want us to die,' Geoffrey Hinton said, arguing that his model could be more sustainable than rigid control measures which AI is bound to escape from as it becomes more intelligent. The celebrated AI scientist also updated his timeline for the emergence of an AGI, predicting that such an entity could now become a reality within the next five to twenty years, based on the current speed of development and advancements in the field . Who is Geoffrey Hinton? Geoffrey Everest Hinton is a British-Canadian computer scientist and cognitive psychologist, known for his groundbreaking work on artificial neural networks, which earned him the title 'Godfather of AI'. A brilliant student since his early years, Hinton joined the Clifton College in Bristol and then the famed King's College in Cambridge. In an interview, Hinton revealed he was unsure which course he wanted to take and kept changing subjects between natural science, history of art and philosophy, finally earning a Bachelors degree in experimental psychology in 1970. Eight years later, Hinton received a doctorate (PhD) in Artificial Intelligence (AI) in 1978 from the University of Edinburgh, and started tenure at the University of Sussex. However, Geoffrey Hinton found fund hard to come by and moved to the United States where he worked at the the University of California, San Diego and Carnegie Mellon University. Hinton was also the founding director of the Gatsby Charitable Foundation Computational Neuroscience Unit at University College London. For breaking news and live news updates, like us on Facebook or follow us on Twitter and Instagram. Read more on Latest Viral News on
