Tana’s Post

Have You Met Devin? If not, it's time to meet now! Devin is the first AI software engineer created by Cognition Labs (https://lnkd.in/gnJD8rQF) This tool is making waves as it can handle entire coding projects from start to finish. Devin can write, fix bugs, and launch code, creating working applications independently. By using machine learning, Devin keeps getting better and adjusting, which could be a big help for development teams. So, what exactly can Devin do? 1. Code across various programming languages 2. Debug and fix errors 3. Build and deploy applications 4. Train and fine-tune other AI models Proof of Devin's Capabilities Cognition Labs claims that Devin has successfully passed practical engineering interviews at leading AI companies and has even completed real-world projects found on freelancing platforms like Upwork. The future of AI in coding Devin's development is a significant step forward in AI-powered software creation. As AI continues to evolve, it will be interesting to see how it further transforms the software development landscape. You can hire to devin for engineering work, please join the waitlist. - https://lnkd.in/g5ddfbZH What are your thoughts on Devin? Share your insights in the comments! #ai #softwareengineering #coding #futureofwork #devOps #machinelearning

"I was so productive today..." Meanwhile... Soon AI will be in every household. That's the end game for productivity. But there's a big challenge... 👇 Moving beyond next-word prediction to true reasoning. AI that thinks. 👀 The core problem? Most LLMs are impressive but fundamentally flawed. They predict what word comes next based on training data. This creates "salience" - amazing when it works, but prone to hallucination. How we're trying to solve it at Redcar.io" We built an AI Agent Platform that adds traditional engineering rigor on top of foundation models. The technical architecture: 1) Multi-source verification engine 2) Reasoning framework 3) Context management system 📌 Real world sales example for you: When qualifying B2B leads, our system: → Constructs company knowledge graphs → Validates data across multiple sources → Applies industry-specific reasoning → Self-monitors for accuracy → Auto-corrects when confidence is low ✨ The results? Our agents consistently outperform raw GPT-4 on specialized tasks. We're seeing significantly reduced hallucination rates. And most importantly - reliable, consistent output. 👋 P.S. We're hiring founding engineers! → Full Stack Engineer → Applied AI Engineer h/t Matt Tuck for this meme btw 😂

BREAKING NEWS: 𝗧𝗵𝗲 𝗔𝗜 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗶𝘀 𝗛𝗲𝗿𝗲: 𝗠𝗲𝗲𝘁 𝗗𝗲𝘃𝗶𝗻, 𝘁𝗵𝗲 𝗙𝗶𝗿𝘀𝘁 𝗧𝗿𝘂𝗲 𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗪𝗼𝗿𝗸𝗲𝗿 Cognition Labs recently came into the limelight with the release of Devin, the world's first real digital worker. This is the game-changer in AI capabilities, which is going to revolutionize how corporations conduct business. What sets Devin apart is that it works on independent learning, reasoning, and completing most of the complex knowledge work there is in the world. From data analysis and copywriting to coding and customer service, there is not a sphere where Devin cannot stand up for you. Industry experts have actually been left in absolute awe by the potential that this technological breakthrough holds. Fueled by advanced natural language processing and computer vision, Devin is imbued with the powers of understanding and endowing communication that rivals any augmented human knowledge worker. But its endless working capacity, exceptional speed, and literally boundless scalability give an unfair advantage to even the highest-possible number of human workforces. The possibilities are endless as Devin continues learning new skills at an exponential rate. The data is clear, and from it emerges the likelihood: Devin is signaling the next frontier of how enterprise productivity and operational efficiency will be looked at. Companies deploying the real digital workers today, just the way Devin has been doing, would ensure they are the ones leading the market tomorrow, undisputed. More info: https://lnkd.in/ekdBEumt What can Devin do? Watch videos to get amazed: Devin can learn how to use unfamiliar technologies. After reading a blog post, Devin runs ControlNet on Modal to produce images with concealed messages for Sara. Devin can build and deploy apps end to end. Devin makes an interactive website which simulates the Game of Life! It incrementally adds features requested by the user and then deploys the app to Netlify. Devin can autonomously find and fix bugs in codebases. Devin helps Andrew maintain and debug his open source competitive programming book. And...more #ai #artificialintelligence #digitalworkforce #innovation 💠Excited about the future of AI? Let's start a conversation! 💠Share your thoughts, like this post if you're as amazed as us with Devin's capabilities 💠Don't forget to follow for more updates by subscribing to our newsletter: https://lnkd.in/eXM5dv3F. https://lnkd.in/eDMz-4qG

🚀 Exciting News in the World of Tech: Meet Devin - The World's First AI Software Engineer! 🚀 In an unprecedented leap forward for artificial intelligence, we're now witnessing the emergence of Devin, the first AI designed to function as a software engineer. Capable of writing, debugging, and deploying code, Devin is not just a tool but a game-changer in how we approach software development. What sets Devin apart? It's not just another large language model; Devin can autonomously create functioning websites and products, outperforming state-of-the-art models like GPT-4 and Gemini. With the ability to complete jobs on Upwork, ace interviews at top AI companies, and excel in coding benchmarks, Devin is redefining what AI can do in the tech industry. But how does it work? Devin begins with a user's prompt to build a website or software program, systematically planning and implementing the solution. Equipped with its own command line, code editor, and browser, Devin tackles each task with precision, even debugging its own code along the way. Early demos have shown Devin can build entire websites and simple games in minutes, showcasing not just speed but a level of autonomy and problem-solving ability that's truly remarkable. In a test, Devin was able to solve 13.86% of open issues on Github, which is significantly higher than the performance of other AI-powered assistants such as Anthropic's Claude (4.8%) and GPT-4(1.8%.) This innovation isn't just about the technical prowess of AI; it's about the potential to transform how we build, innovate, and think about technology. Devin represents a step into a future where AI partners in the creative and development processes, pushing the boundaries of what's possible. Let's discuss! What do you think the implications of AI like Devin could be for the future of software engineering and tech industries? Could this be the beginning of a new era in AI-assisted development? To use Devin, join the waitlist through the website https://lnkd.in/gmxP486x #ArtificialIntelligence #SoftwareEngineering #Innovation #TechNews #coding #openai

Over the past few months at Assembled, we've been exploring how Large Language Models (LLMs) can enhance our engineering workflows. One area where they've made a significant impact is in writing comprehensive tests. Traditionally, writing thorough tests can be time consuming and sometimes gets sidelined due to tight deadlines. By leveraging LLMs, we've been able to generate robust tests much more quickly—tasks that used to take hours now take just minutes. This shift has brought: - Increased adoption of testing: Engineers who previously wrote fewer tests are now consistently incorporating them into their workflow. - Time savings: We've collectively saved hundreds of hours, allowing us to focus more on developing new features and refining existing ones. - Enhanced code quality: Our codebase is better tested, giving us greater confidence in our deployments. I've shared more about our approach, including examples and lessons learned, in a recent blog post. 👉 Read more here: https://lnkd.in/gKw3djQu We're excited about the progress we're making and the insights we've gained. If you're interested in the intersection of LLMs and software engineering, or if you're passionate about building tools that transform customer support, I'd love to connect. P.S. We're hiring! Check out our open roles: https://lnkd.in/gSr_wqV7

Really well written article by the guys over at Patreon (thanks Saad Masood for helping the algorithm put this on my feed) on using semantic meaning to improve search results rather than keyword search. Should work well for creative outlets (Youtube, TikTok etc) in which words can take on different forms but refer to the same thing for example when searching for “cooking tips” and “knife skills” leads to the same creator regardless of which keyword was used

2024 predictions by Trace3 We're happy to share that ScaleOps has been highlighted in a 2024 predictions article, focusing on "FinOps Leads to Engineering Optimization." 🌟 Also, we are hiring :)

✨ AI for product feeds & marketplaces: Smart Attributes is LIVE! 🚀 Struggling with incomplete or inconsistent product data? Our new Smart Attributes use AI to fix this for all your channels: Google, Meta, Amazon, bol, eBay, and 2000+ others. And the best part: you stay in complete control! - You decide exactly which fields and products need optimizations - YES, it can handle large amounts of products - You select which data sources to use as input for the AI - YES, our preview makes it easy to check where the data came from - You (Bulk-)approve AI-generated attributes to ensure everything meets your brands' standards - YES, manual adjustments are possible We're rolling it out to all Core Pro customers gradually, until November. And this is only the beginning! We're currently developing major updates to add more attributes and include channel-specific recommendations - starting with Google 👀 Questions, ideas, or just excited to give it a try? Let us know! 👇 P.S. We are hiring a new PM for our AI team. This can be you!

🚀 After Successfully Launching Our AI Conversational Agent, We're Now Building a Deepfake Detection Portal! Following the implementation of our AI conversational agent, we’re excited to announce the development of a new project—a Deepfake Detection Web Portal. This system will allow users to upload media, including videos, images, and audio, for analysis. The platform will provide detailed results to determine whether the media is real or a deepfake, with a focus on precision and clear explanations. Our long-term goal is to keep evolving this technology, with an eye toward more seamless and accessible real-time detection capabilities on various devices. Key Focus Areas: ✅ Front-End: We’re creating a responsive and intuitive user interface that ensures smooth user experiences across all devices. The design will focus on ease of use, allowing users to quickly upload their media and receive results in a clear, understandable format. It will emphasize functionality and simplicity, following modern design principles. ✅ Back-End: The back-end will be designed to handle secure and efficient media processing. This includes: 👉🏻 API integration with deepfake detection services to process uploads quickly. 👉🏻 Scalability, ensuring the platform can manage multiple uploads simultaneously without performance issues. 👉🏻 Efficient handling of large files, ensuring media is uploaded, processed, and results delivered in a timely manner. ✅ Security: Security and data privacy are central to our development. We will implement encrypted media uploads and handle all user data with strict privacy measures. We are currently expanding our team and looking for developers to join this exciting project: 🔍 Open Positions: ✅ AI Engineer: Responsible for integrating and optimizing deepfake detection algorithms via APIs. ✅ Backend Developer: To build and maintain scalable, secure backend architecture and ensure smooth API handling. ✅ Frontend React Developer: To craft a responsive, user-friendly interface that delivers an intuitive experience to end-users. If you’re passionate about innovative AI-driven technology and want to work on something impactful, let’s connect 💻 Drop us an email at : ai@kotechsolutions.com.au

Very interesting take on (ab)using AI in customer services. AI can only take an *already good* company to great. Integrating AI in your core business imposes strict requirements on data management, IT readiness, and compliance, which is already more than enough work if your organisation isn't there yet. Top highlight for me: Customer support as a stopgap Rather than seeing support as a way to build the kind of relationship that ensures product and service renewals and increases the business footprint, many organizations see support as - A cost center - A way to make up for deficient — or inexistent — product documentation - A remedy for poorly designed user experience - A shield to protect product managers’ valuable time from “irrelevant” customer feedback - A catch-all for lousy and inaccessible institutional websites - An outlet for customers to vent