
Competition shows humans are still better than AI at coding
Przemysław Dębiak, a Polish coder and mind sports champion, narrowly clinched a victory over OpenAI's entrant in the AtCoder World Tour Finals 2025 in Tokyo earlier this month. The elite coder, however, who goes by the online name Psyho, predicts he may be the last human to win the prestigious title given the incredible pace of technological progress.
'That's probable,' said Psyho, 41, who worked at OpenAI before retiring five years ago. 'I would prefer not, mostly because I like these competitions and knowing there's this magical entity that can do it better than me would be a little bit frustrating.'
There is an irony, Psyho acknowledged, in the fact that coders have contributed to their own professional demise.
'Before the contest, I tweeted 'live by the sword, die by the sword',' he said. 'I helped developing AI and I would be the one who would be the loser of the match. Although I won, in the end, for now.'
The AtCoder euristic division included 11 human participants invited on the basis of world rankings and a coding algorithm designed by OpenAI, which finished in second place, 9.5% behind Psyho's winning score. Sam Altman, OpenAI's CEO, tweeted his congratulations.
The 10-hour contest involves solving a complex optimisation problem. A classic in the genre is the 'travelling salesman problem', where the salesman needs to figure out the shortest possible route between various cities, each visited once. These problems are simple to state, but finding an optimal solution is computationally very complex. So while ChatGPT is now routinely used to write boilerplate code, the AI's performance on an open-ended logic problem will be viewed as impressive.
'At the current state, humans – top humans, to be clear – are still much better at reasoning and solving complex problems,' said Psyho. But humans are 'bottlenecked' by how quickly they can type code, while an AI can try out lots of small adjustments very rapidly.
'The model is like cloning a single human multiple times and working in parallel,' he said. 'AI might not be the smartest right now but it's definitely the fastest. And sometimes multiplying a single average person many many times produces a better result than a single, special human being.'
The result comes as major tech companies, including Meta and Microsoft, are turning to AI to write software code. The Anthropic CEO, Dario Amodei, said in May that AI could take 20% of white-collar jobs in the next one to five years.
'Every profession has this right now, more or less,' said Psyho. 'Some people have it coming right now – all of the white collar jobs. For manual jobs, robotics is lagging by several years.'
Like many in the industry, Psyho is ambivalent about the potential impact of ever more powerful AI models. 'We have a tonne of issues,' he said. 'Disinformation, social impact, humans not having a purpose in life. Historically society moves at a very slow pace. Technological progress right now is moving at a faster and faster and faster pace.'

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


Geeky Gadgets
2 hours ago
- Geeky Gadgets
Using Claude Connectors to Create Self-Improving Automations Like Never Before
What if you could automate your most tedious tasks, streamline complex workflows, and even create systems that improve themselves over time—all without needing to write a single line of code? That's the promise of Claude AI connectors, a innovative tool for businesses looking to stay ahead in an increasingly fast-paced world. Imagine a workspace where your emails sort themselves, your projects update in real-time, and your team's productivity soars because the busywork is handled for you. In this step-by-step overview, we'll explore how these connectors are not just tools but bridges to a more efficient, innovative way of working. Created by Blazing Zebra, this guide is your key to unlocking the full potential of AI-driven automation. Blazing Zebra explains how to integrate Claude AI with platforms like Notion, Gmail, and Zapier to build self-improving processes tailored to your unique needs. We'll walk you through practical applications, from automating social media posts to refining workflows through iterative feedback loops. But this isn't just about saving time—it's about creating a system that evolves alongside your business. Whether you're curious about overcoming common challenges or eager to explore advanced features, this guide offers actionable insights to help you transform your operations. After all, the future of productivity isn't just about working harder—it's about working smarter. Streamlining Workflows with AI How AI is Reshaping Business Automation Artificial intelligence (AI) is no longer a futuristic concept; it is a fantastic force reshaping how businesses manage tasks and workflows. Tools like Claude AI empower you to automate routine activities, reduce manual effort, and redirect focus toward strategic priorities. For example: Google Drive Integration: Simplify document management by organizing and retrieving files effortlessly, saving valuable time. Simplify document management by organizing and retrieving files effortlessly, saving valuable time. Gmail Integration: Automate email sorting, responses, and follow-ups, making sure efficient communication without the need for constant manual intervention. By connecting Claude AI to these platforms, you can create a unified ecosystem that not only enhances operational efficiency but also aligns with your broader productivity goals. This integration allows businesses to focus on innovation and growth rather than being bogged down by repetitive tasks. What Are Claude Connectors and How Do They Work? Claude connectors act as bridges between AI capabilities and your existing software tools, allowing seamless automation without requiring extensive technical expertise. These connectors are designed to integrate with a variety of platforms, including: Notion: Ideal for documentation, project tracking, and knowledge management, making it easier to centralize information. Ideal for documentation, project tracking, and knowledge management, making it easier to centralize information. Zapier: A powerful tool for automating workflows across multiple applications, reducing the need for manual coordination. A powerful tool for automating workflows across multiple applications, reducing the need for manual coordination. Spotify: Enhance productivity by creating mood-specific playlists tailored to different work sessions, adding a personal touch to task management. By incorporating these connectors into your operations, you can build a customized workflow system that caters to your specific business needs. This adaptability ensures that your processes remain efficient and relevant, even as your organization evolves. Claude Connectors & Self-Improving Processes Watch this video on YouTube. Master Claude Code with the help of our in-depth articles and helpful guides. Building a Structured Framework for Process Automation To maximize the potential of AI connectors, it is essential to adopt a structured approach to process automation. This involves three critical phases: Phase 1: Document Processes – Begin by clearly outlining each step in your workflows. Use tools like Notion or Google Docs to create detailed, easy-to-follow instructions that serve as a foundation for automation. – Begin by clearly outlining each step in your workflows. Use tools like Notion or Google Docs to create detailed, easy-to-follow instructions that serve as a foundation for automation. Phase 2: Create Actionable Instructions – Translate these documented workflows into precise, executable tasks for AI tools. Clarity and specificity are crucial to minimize errors and ensure smooth execution. – Translate these documented workflows into precise, executable tasks for AI tools. Clarity and specificity are crucial to minimize errors and ensure smooth execution. Phase 3: Iterative Improvement – Continuously refine your processes based on AI performance and user feedback. Regular updates and adjustments ensure that your workflows remain efficient, adaptable, and aligned with your objectives. This structured framework not only simplifies the automation of complex workflows but also provides a roadmap for maintaining control over outcomes. By following these steps, you can ensure that your AI-driven processes deliver consistent and reliable results. Using Self-Improving AI Systems One of the most compelling features of Claude AI is its ability to self-improve. By analyzing user feedback and performance data, the system can dynamically refine its instructions and adapt to changing requirements. For instance, if an AI-generated task falls short of expectations, you can provide feedback to guide the system's learning process. Storing these instructions in tools like Notion ensures easy access, version control, and ongoing optimization. This self-improving capability allows your AI tools to evolve alongside your business needs. Over time, this adaptability enhances the effectiveness of your workflows, making sure that they remain aligned with your strategic goals. Practical Applications of Claude Connectors Claude connectors offer a wide range of applications across various business scenarios. Here are some practical examples: Social Media Automation: Transform long-form content or cheat sheets into concise, engaging Twitter posts, streamlining your social media strategy. Transform long-form content or cheat sheets into concise, engaging Twitter posts, streamlining your social media strategy. Specialized Tasks: Use advanced AI models like Claude Opus 4 and Sonnet 4 for tasks that require precision and creativity, such as drafting reports or generating marketing copy. Use advanced AI models like Claude Opus 4 and Sonnet 4 for tasks that require precision and creativity, such as drafting reports or generating marketing copy. Workflow Optimization: Automate repetitive tasks like scheduling meetings, generating invoices, or managing customer inquiries, freeing up time for higher-value activities. These examples highlight the versatility of Claude connectors in addressing diverse business needs, from enhancing marketing efforts to improving operational efficiency. Overcoming Challenges and Limitations While AI connectors offer significant benefits, it is important to be aware of their limitations to ensure successful implementation. Key challenges include: Overoptimization: Rigid instructions can limit flexibility, making it difficult to adapt to unexpected changes or unique scenarios. Rigid instructions can limit flexibility, making it difficult to adapt to unexpected changes or unique scenarios. Human Oversight: Maintaining a human presence in the loop is essential for providing feedback, making corrections, and making sure quality control. Maintaining a human presence in the loop is essential for providing feedback, making corrections, and making sure quality control. Connector Constraints: Some platforms, such as Canva or Gmail, may have limitations that require creative workarounds or alternative solutions. By understanding these challenges, you can develop strategies to mitigate risks and maximize the effectiveness of your AI tools. Best Practices for Maximizing the Benefits of Claude Connectors To fully harness the potential of Claude connectors, consider implementing the following best practices: Regular Updates: Continuously refine your processes based on AI performance and user feedback to ensure optimal results and adaptability. Continuously refine your processes based on AI performance and user feedback to ensure optimal results and adaptability. Task Delegation: Use delegation frameworks to distribute tasks efficiently, reducing manual effort and enhancing productivity. Use delegation frameworks to distribute tasks efficiently, reducing manual effort and enhancing productivity. Explore Advanced Features: Experiment with desktop extensions and specialized functionalities, such as automating PDF handling or managing system settings, to unlock additional capabilities. These strategies will help you create a robust, AI-driven system that enhances your workflows, drives efficiency, and supports your long-term business objectives. Key Takeaways Claude AI connectors provide a powerful and flexible solution for automating workflows and implementing self-improving processes. By integrating these tools into your operations, you can reduce manual effort, enhance productivity, and focus on achieving strategic objectives. Success depends on adopting a structured approach, using user feedback, and continuously refining your processes. With the right strategy, you can unlock the full potential of AI to transform your workflows and achieve sustainable business success. Media Credit: Blazing Zebra Filed Under: AI, Guides 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.


Geeky Gadgets
3 hours ago
- Geeky Gadgets
GitHub Spark : No Code? No Problem! Build Full Stack Apps Easily
What if building a fully functional app was as simple as describing it in plain language? With the launch of GitHub Spark, that vision is now a reality. This new AI-powered platform is set to redefine how applications are created, offering a streamlined, browser-based solution that transforms natural language descriptions into complete, ready-to-use software. Whether you're a seasoned developer looking to prototype faster or someone with no coding background eager to bring an idea to life, GitHub Spark promises to lower the barriers to entry and provide widespread access to app development. By combining innovative AI with an intuitive user experience, it challenges the long-standing complexities of traditional software creation. In this release overview, the Cloud Girl explains how GitHub Spark is reshaping the development landscape and what makes it a fantastic option for creators of all skill levels. From its Claude Sonnet 4 NLP engine, which translates your ideas into code, to its seamless deployment tools, Spark is packed with features designed to simplify the process at every step. But while its potential is immense, the platform also comes with certain limitations, particularly for enterprise-scale projects. Whether you're curious about its capabilities or wondering if it's the right fit for your next project, this overview will provide the insights you need to understand Spark's role in the future of software development. Sometimes, innovation isn't just about what's possible—it's about who gets to participate. GitHub Spark Overview How GitHub Spark Works: AI-Driven Full-Stack Development GitHub Spark uses the power of artificial intelligence to generate complete applications, encompassing front-end interfaces, back-end logic, databases, and authentication systems. The platform uses advanced natural language processing (NLP) to translate plain language descriptions into fully functional software. For instance, describing a task management app with user authentication prompts Spark to generate all the necessary components to bring the concept to life. This capability significantly lowers the technical barriers to entry, allowing individuals with limited coding experience to create functional applications. However, having a foundational understanding of software development principles can enhance the user's ability to fully use the platform's potential and refine the generated applications. Key Features: Tools That Simplify Development GitHub Spark is equipped with a suite of advanced features designed to streamline and simplify the app development process. These include: Claude Sonnet 4 NLP Engine: A state-of-the-art natural language processing engine that interprets user input and generates application code with remarkable accuracy. A state-of-the-art natural language processing engine that interprets user input and generates application code with remarkable accuracy. Built-In Runtime Environment: Provides persistent storage capabilities, making sure that applications can reliably store and retrieve data without requiring additional setup. Provides persistent storage capabilities, making sure that applications can reliably store and retrieve data without requiring additional setup. Progressive Web App (PWA) Dashboard: Enables users to build, test, and deploy applications directly within their browser, eliminating the need for external tools or environments. Enables users to build, test, and deploy applications directly within their browser, eliminating the need for external tools or environments. Integration with APIs and Large Language Models (LLMs): Offers seamless connectivity to external services, such as payment gateways, analytics platforms, or other APIs, to enhance app functionality. 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.


Telegraph
3 hours ago
- Telegraph
The robot dog poised to replace your pet
He doesn't bark, require feeding or walking, and he certainly doesn't leave behind any unwelcome surprises on the pavement. Sirius, the world's first trainable AI robotic dog is on the cusp of radically transforming the pet industry. Designed by Hengbot, a Chinese start-up, Sirius has been hailed by technologists as bringing advanced robotics to the masses, and is due for roll-out in October. Although there are already robot dogs on the market, Sirius recognises its owner and learns new tricks, evolving over time to sync gestures with voice commands, similar to how a real dog is trained. Peiheng Song, the chief executive at Hengbot, said: 'With Sirius, we didn't just build a robot, we created the first of a new kind of robotic species. 'Sirius marks the start of a growing universe of intelligent, customisable robots designed to bring your imagination to life.' Several of Hengbot's developers already live with Sirius. They told The Telegraph that it had been a more 'heartwarming' experience than they expected, especially for young designers and engineers who are often living alone for the first time. One developer said: 'It feels like something between a smart assistant and curious little pet. 'While it doesn't need feeding or walking, it often surprises you with small, spontaneous gestures: a sneeze, a stretch, a playful bark or a gentle head tilt when you get close. 'After a long day, it simply stays nearby – whether you're watching a show, playing games, or just winding down. It adds a soft, almost therapeutic presence that helps ease loneliness and brings warmth to everyday life.' One developer described it as 'a little being that keeps you company without asking for anything in return'. 'Therapeutic presence' Hengbot said that they believe robot pets will eventually become normal, not to replace real animals, but as a new form of companionship that could be particularly useful for people with allergies, demanding schedules or limited space. A company spokesman: 'We believe companions like Sirius will feel increasingly natural, and even expected, in people's lives. 'It offers similar companionship and emotional joy, but with far less upkeep – no feeding, no vet visits, no shedding – while still responding to you, showing emotion and surprising you with little gestures. 'Sirius is a low-maintenance companion that fits perfectly into today's fast-paced lifestyle.' Users can even pick Sirius's personality, uploading voice packs and swapping character behaviours and moods so that it can behave like a husky, corgi or border collie. They can even change its outer appearance with 3D printable upgrades. It can be programmed to bark and move excitedly like a playful puppy, or amble slowly and calmly around the room like a relaxed dog at home. Owners can even upload their own dog's bark and replicate its signature gestures. The lifelike movement comes from special joints that mimic how real animal limbs operate, coupled with advanced AI and a motion feedback system, allowing it to respond like a real dog, including jumping and stretching. As owners spend more time with it, Sirius begins to learn from the interactions, gradually understanding preferences and habits, and adjusting its behaviour accordingly. It has both short-term and long-term memory, meaning it can remember recent events while also building a deeper understanding of its owner. Developers have been surprised just how lifelike the little robot is, finding that if they playfully scold it, it barks back like a real dog. 'This level of adaptability and lifelike expression goes far beyond what we initially expected,' said the company. So far, nearly 700 people have pre-ordered the robot, which is currently funding on Kickstarter for around £500.