Latest news with #AlphaGo
New Indian Express
4 days ago
- Science
- New Indian Express
Dark AI: The Black Hole
And in that moment, a quiet boundary dissolved. While xenobots mesmerise the scientific community, they've also reignited a global debate: what new frontiers—and dangers—are we agreeing to when we embrace emergent forms of AI? Let's be clear: AI today is not sentient. It doesn't 'want' anything, doesn't dream, doesn't resent you for shouting at Alexa. But that's not the real concern. The anxiety around AI isn't about whether it will wake up and write poetry about its sad little server racks. The fear is about what happens when its power, speed, and optimisation capabilities outstrip human governance. Delhi-based tech expert Shayak Majumder says, 'The primary concern isn't that machines will start thinking like humans, but that humans will stop thinking critically in a world shaped by AI assistants. I have always compared the advent of AI to the advent of internet. Earlier there were concerns of jobs getting eaten up, but about two-three decades later, we have learned how to leverage internet to our advantage. For now, we need to start getting adept with AI tools, to stay ahead of the curve. The 'dark side' of AI lies not in its intelligence, but in how we choose to wield it, regulate it, and remain accountable for its impact.' AI creating life; AI going beyond its mandate to serve mankind could bring us to the brink of extinction in myriad ways. When AlphaGo (Google DeepMind's AI) played Go against world champion Lee Sedol, it made a move (Move 37) that no human had ever thought of. AlphaGo's calculations indicated that the move had a mere 1 in 10,000 chance of being played by a human. It wasn't programmed specifically to make that move. It thought several moves ahead and invented strategies no one taught it. Researchers called it 'beautiful' and 'creative' and playing against a 'thinking entity'. In a 2020 simulation, OpenAI trained simple AI agents to compete in hide-and-seek games. Without being programmed to, some agents invented tool-use like pushing objects to block doors or building forts. They did it by inventing complex strategies not taught by humans. They adapted and outsmarted their rivals on their own. In 2017, two AI chatbots, Bob and Alice, were designed to negotiate with each other. But very soon, they invented their own language, unintelligible to humans to make negotiations more efficient. Significantly, they abandoned English because it was inefficient for them. They began optimising communication without human permission or understanding. Researchers shut the programme down because they couldn't control or predict it anymore. Scientists at MIT and elsewhere are building neural networks that repair themselves when attacked or corrupted, without human instructions. Like living tissue healing itself, the network 'senses' failure and reorganises thereby suggesting rudimentary self-preservation instincts: a building block of 'will'. This collective was seen in xenobots who built cooperative groups, and self-repaired wounds without an external brain or microchips. They acted as if they had goals. The scary and fascinating part? Emergence doesn't ask permission. It just happens. Because the xenobots were not meant to think. But they moved as though they had decided to. They acted as though they had purpose. And that suggested something that made researchers and philosophers alike slightly queasy: that perhaps intelligence simply emerges.
Business Upturn
28-05-2025
- Business
- Business Upturn
Syneris Launches to Break Barriers in AI Infrastructure with Decentralized Compute Power
BIRKIRKARA, Malta, May 28, 2025 (GLOBE NEWSWIRE) — officially announces the launch of its full-stack Decentralized AI Infrastructure, aiming to transform the global AI development landscape by unlocking affordable AI development at scale. As demand for artificial intelligence continues to surge across sectors, Syneris steps in with a bold mission: to decentralize access to high-performance computing, enabling more builders, startups, researchers, and enterprises to create and deploy AI without the traditional limitations of cost, centralization, and technical gatekeeping. 'We believe the future of AI shouldn't belong to a handful of tech giants,' says the Syneris team. 'It should be open, collaborative, and powered by the people.' A Global Problem Meets a Scalable Solution In today's AI race, the high cost of computing remains a major bottleneck. Traditional GPU resources are increasingly monopolized by a handful of tech giants, making access to AI computing platforms prohibitively expensive for smaller teams and independent developers. Training advanced models like GPT-4 or AlphaGo can cost between $10 – 20 million, requiring thousands of high-performance GPUs. Ironically, more than 50% of global GPU capacity is sitting idle — locked away in personal devices, gaming rigs, and institutional hardware that's rarely optimized for AI workloads. At the same time: – 85% of AI startups cite compute costs as a top barrier to model training and deployment. – Cloud GPU prices have tripled over the past two years due to supply shortages and centralized control. – Over 70% of global AI infrastructure is owned by fewer than five major tech corporations. This level of centralization stifles innovation, restricts access, and deepens inequality in the AI ecosystem. It turns progress into a privilege of scale, not a function of talent or creativity. Syneris offers a better way. Our hybrid GPU computing network aggregates underused GPUs and CPUs from across the globe and transforms them into a Decentralized AI Infrastructure. This approach dramatically reduces cost while unlocking access to computing resources for the 99%. Contributors are rewarded with transparent, token-based incentives — creating a fair and self-sustaining ecosystem where computational power is not hoarded, but shared. Built for Builders: AI Tools for All At the heart of Syneris is a complete suite of tools for the AI development lifecycle. From code-free model creation to enterprise-grade deployment, the AI computing platform supports users of all technical backgrounds. Developers can build and test models with intelligent assistance, including real-time coding support and automated debugging tools. Non-developers can experiment with powerful no-code and low-code interfaces, crafting custom models using pre-built templates and visual workflows. Through its flagship product line, Syneris Generation AI, users can generate human-like content across text, images, video, and voice with minimal resource consumption. These tools open doors for applications in marketing, media, automation, education, and beyond — all part of a commitment to affordable AI development. AI World: A Decentralized Marketplace for AI Intelligence Syneris is not just an infrastructure provider — it is also a Decentralized AI Marketplace. The 'AI World' platform allows model creators to publish, monetize, and continuously improve their AI models. Businesses can browse categorized libraries of AI solutions tailored to industry verticals, performance needs, and budget constraints. Transparent performance metrics, reviews, and demo options ensure reliability and reduce decision-making risk. This Decentralized AI Marketplace fosters open collaboration, allowing builders and users to connect, share feedback, and co-create higher-value solutions. All transactions are executed with Syneris tokens, ensuring seamless commerce within a secure digital economy. Strategic Scaling Through Smart Integration To ensure scalability from day one, Syneris has strategically integrated with leading GPU computing networks such as Aethir and This enables the AI computing platform to meet immediate computational demand while it concurrently develops its proprietary infrastructure. Over time, Syneris aims to reduce dependency on third-party systems and move toward full operational independence — without compromising on performance, scalability, or global reach. Looking ahead, the platform's long-term vision is to become a fully self-sustaining, community-owned Decentralized AI Infrastructure — empowering millions to access AI freely, without the need for permission or the burden of premium costs imposed by centralized gatekeepers. Laying the Foundation for an Open AI Future As artificial intelligence redefines the way societies function, there is a growing responsibility to ensure that the benefits of AI are broadly distributed — not concentrated in the hands of the few. Syneris recognizes this need and responds with a technically sophisticated yet community-first approach. It is not just enabling access to AI tools; it is reshaping the ownership model of AI infrastructure itself. Developers, GPU contributors, AI builders, and enterprises are invited to become part of the Syneris ecosystem — where intelligence is built together, not rented from the top. Explore Syneris Website: X/Twitter: Telegram: Discord: Contact: [email protected] Name: Peter Miles About Syneris Syneris is a Decentralized AI Infrastructure and AI computing platform built to democratize access to machine intelligence. By connecting unused GPU and CPU resources into a global GPU computing network, Syneris provides scalable, affordable AI development and a dynamic Decentralized AI Marketplace, all underpinned by a contributor-driven token economy. Disclaimer: This press release is provided by Syneris. The statements, views, and opinions expressed in this content are solely those of the content provider and do not necessarily reflect the views of this media platform or its publisher. We do not endorse, verify, or guarantee the accuracy, completeness, or reliability of any information presented. This content is for informational purposes only and should not be considered financial, investment, or trading advice. 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Time of India
15-05-2025
- Business
- Time of India
Former Google employee on AlphaEvolve: ‘Google's AI just made math discoveries NO human has'
Former Google employee Deedy Das recently shared an online post, highlighting the company's artificial intelligence has made math discoveries never achieved by humans. In the post, Das said Google's new AI agent – AlphaEvolve resolved complex problems, including the optimal way to fit 11 and 12 hexagons into a larger hexagon — a challenge that has long remained unsolved. Another major breakthrough highlighted in the post is the improvement in matrix multiplication. The AI, he writes in the post, reduced the number of steps needed to multiply two 4x4 matrices from 49 to 48 — the first such improvement in 56 years. Das termed AlphaEviolve as the 'AlphaGo move 37 moment for math,' referencing a historic 2016 move by Google's AI during a professional Go match that stunned experts. In the post, Das wrote: 'Google's AI just made math discoveries NO human has! —Solved optimal packing of 11 and 12 hexagons in hexagons. —Reduced 4x4 matrix multiplication from 49 operations to 48 (first advance in 56 years!) and many more. AlphaEvolve is the AlphaGo 'move 37' moment for math. Insane.' What is AlphaEvolve Google's DeepMind recently announced AlphaEvolve – an evolutionary coding agent powered by large language models for general-purpose algorithm discovery and optimization. Announcing the new tool in a blog post, the company said 'AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators that verify answers, and uses an evolutionary framework to improve upon the most promising ideas.' 'AlphaEvolve enhanced the efficiency of Google's data centers, chip design and AI training processes — including training the large language models underlying AlphaEvolve itself. It has also helped design faster matrix multiplication algorithms and find new solutions to open mathematical problems, showing incredible promise for application across many areas,' the blog added. Google CEO Sundar Pichai's post on AlphaEvolve Announcing the new AI tool, Google CEO Sundar Pichai wrote: 'AlphaEvolve, our new Gemini-powered coding agent, can help engineers + researchers discover new algorithms and optimizations for open math + computer science problems. We've used it to improve the efficiency of our data centers (recovering 0.7% of our fleet-wide compute resources on average). We're also using it in chip design and to speed up Gemini's training, the very models underpinning AlphaEvolve itself — an exciting flywheel of progress!' AI Masterclass for Students. Upskill Young Ones Today!– Join Now
Korea Herald
29-04-2025
- Entertainment
- Korea Herald
Netflix's 'The Devil's Plan' returns with star-packed season 2
The battle of wit and strategy returns, featuring star-studded casts including legendary Go player Lee Se-dol Netflix Korea's beloved survival competition series "The Devil's Plan" is set to return with a second season, featuring an expanded cast and evolved gameplay. "The Devil's Plan," which premiered in 2023, quickly ascended Netflix's global charts, debuting at No. 3 on the streamer's Top 10 Non-English TV Shows list during its first week. The series, known for its cerebral gameplay and high production values, features contestants from diverse professional backgrounds competing in games that test strategic thinking and mental agility. The new season, titled "The Devil's Plan: Death Room," ups the ante with 14 players — two more than the first season — selected from a mix of celebrities and noncelebrities. The latter were chosen through a highly competitive open recruitment process, which drew over 1,000 applicants. Among the headline cast in the show's second season is legendary Go player Lee Se-dol, who famously challenged AlphaGo, the artificial intelligence program from DeepMind. Other high-profile cast members include "The Umbrella Academy" star Justin H. Min, Super Junior's Kyuhyun, former JTBC announcer Kang Ji-young, actress and KAIST alum Yoon So-hee, and professional poker player/music producer Seven High. Returning to helm the series is star producer Jung Jong-hyun, best known for creating beloved Korean survival game hits such as "The Genius" and "Great Escape." "We expanded the cast to 14 participants because, based on our simulations, we realized that if one player were eliminated each day, we would run out of players too soon. We felt it would be better to add a couple more. In reality shows like this, having a wide variety of characters is absolutely crucial," said Jung at a press conference held Tuesday in Seoul's Mapo-gu. This season also introduces a dramatic shift in the show's setting. Instead of one unified residential space, players will now be divided between two distinct zones: the Living Area and the Prison Area. "Players in the Prison Area must compete in Prison Matches, and the place where these matches are held is called the Death Room. It may sound simple, but the Death Room brings a significant shift to the entire tone of this season," said Jung. In another major shakeup, the game creation process has been reimagined. Rather than relying solely on the production team, the new season brought in teams from the applicant pool to help develop the games themselves. "In the past, the production team handled all the game planning and preparation internally, but this time, we formed teams from among the applicants and had them participate in the game development process," said Jung. "Instead of the same old, worn-out games, you'll be seeing a lot of fresh, new ones this season." "The Devil's Plan: Death Room" will roll out in three parts, starting with Episodes 1–4 on May 6, followed by Episodes 5–9 and Episodes 10–12 released on the subsequent Tuesdays.
Forbes
24-04-2025
- Entertainment
- Forbes
The 'Agentic' Revolution
Swish Goswami, building the next big sci-fi franchise at Parallel Studios . getty AI is reshaping the world we live in, making rapid advancements in productivity and paving the way for even greater breakthroughs and discoveries ahead. Across various sectors, 'AI agents' are emerging as a major trend that's redefining the workflow in various industries. In this article, I will examine how AI agents are disrupting gaming, transportation, trading and software development. I genuinely believe that 2025 will be shaped by this technology and that the impact of AI agents will only continue to grow in the years ahead. In the gaming industry, AI is revolutionizing the way games are developed and experienced, from creating smarter NPCs and dynamically generated worlds to enhancing graphics, personalizing gameplay and ensuring fairness through advanced cheat detection systems. One standout example is our company's Parallel Colony , the world's first AI-driven game, where it's not just about playing, it's about engaging with a living, new system that evolves and reacts to players in real time, making every interaction unique to different individuals and gamers. From managing resources to crafting and defending against rival colonies, Colony transforms gameplay into a dynamic adventure where every session is a unique story. Imagine a game that's not just interactive but alive—that's what AI agents bring to the table. Another great example is AlphaGo by DeepMind. It was the first AI to beat a world champion in the board game Go in October of 2015, a game previously thought to be too intuitive for machines to master. That moment wasn't just historic; it set the stage for a new era of intelligent, agent-powered gameplay. Transportation: Smarter And Safer The transportation industry is another space where AI agents are making a big impact. From self-driving cars to smarter logistics systems, AI is transforming the way goods and people are transported. And while autonomous vehicles powered by AI are concerning, given that you'll trust a system to safely drive you or your goods, they are designed to navigate complex environments. These systems are continuously learning, reducing accidents and increasing efficiency. Meanwhile, public transit systems are also getting smarter, using AI to analyze passenger flow, reduce wait times and improve overall convenience. And this really matters, especially as our population keeps growing and urban areas become more congested. Let's take Singapore, for example. Its Smart Mobility 2030 plan is set to use AI agents to manage traffic flow in real time, optimize public bus schedules and predict travel demand across the city. It's a forward-thinking approach that shows how AI can make entire cities more efficient, accessible and responsive to the needs of the people. With technologies like this, the days of inefficiency and frustration in travel could soon be a thing of the past. AI is making transportation smoother, safer and more accessible—and it feels like this is just the beginning. Trading: Strategies With AI AI is transforming the financial world, and Wayfinder is an example of a platform leveraging AI to greatly improve user experience. This AI-powered omnichain tool our company created is changing the way cryptocurrency trading is done by analyzing market trends in real time, predicting price movements and allowing users to execute complex transactions with incredible speed and accuracy. Wayfinder is setting a new standard in trading, making it easier and more efficient for everyone, from seasoned investors to beginners. Another strong example is Numerai, a hedge fund where AI makes all the trading decisions. What makes it stand out, in my opinion, is how it uses AI agents to evaluate crowdsourced models submitted by data scientists around the world. It's a bold, next-gen approach that blends machine intelligence with human creativity, and it's working. In an industry as fast-paced and volatile as crypto, tools like Wayfinder and Numerai don't just make trading smarter—they make it more accessible and less stressful. I don't think traditional platforms can keep up with this kind of intelligence. And what's truly remarkable is how far we've come in integrating AI into everyday tools, making cutting-edge technology feel intuitive and approachable for everyone, not just experts. It's a glimpse into the future of trading—and the future is already here. Development: Simplifying The Complex In software development, tools like Replit and Cursor are leading the charge by using AI to simplify coding for everyone (including those who are nontechnical). Whether it's helping debug errors, suggesting improvements or guiding users with limited technical skills, these platforms show how AI can make complex tasks more intuitive. By integrating AI agents, they're not just improving functionality—they're transforming how people create, collaborate and innovate. Now everyone has the ability to build products that can provide other people value. Why 2025 Is The Year Of AI Agents The shift toward AI agents feels inevitable, and it is already happening. Platforms that adopt this technology are not just improving user experiences—they're transforming what's possible. Whether it's gaming, coding, trading or something entirely different, AI agents are about making life simpler, more intuitive and more productive. While I do believe there are challenges to address, like ethical use and ensuring accessibility, the potential here is too significant to ignore. The future isn't just about better technology—it's about better experiences for people. As we move further into 2025, I can't wait to see how platforms across industries embrace AI agents to change the playing field for all of us. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
