Adam Horner

I've been doing Codewars katas in Rust to try an cement my (quite limited) knowledge and really thought I was on the right track with the top solution! The problem was to return the sum of all the numbers between a and b. - So I added a mutable sum variable on line 5. - Returned 1 value if they were the same on line 6. - Determined which value was highest/lowest on lines 9-10. - Created an inclusive range between the two on line 12... Then forgot the basics of coding on line 13! I'd been so focused on using the syntax of my new language that I forgot the basics! I failed the very first test! That had passed the values 0 and 1 - should be simple right? I think what I'd been thinking of was mapping over an array in JavaScript, or something..., because I know there are methods like next() in Rust. I thought I was being clever - how do you add one value to the next. 🤔 I ran the code, and was totally puzzling over how 0 and 1 could somehow equal 4. Then I remembered I wasn't using an array, but a simple for loop. One that, for those params, would return 1 for the first iteration, then 3 the last. 🤦‍♀️ And, of course, I didn't figure that out right away. Nope, me, being me, had to question my Rust specific code. So don't forget the basics, like little old me!

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The intersection between speedcubers and neovim users is probably not that high, but there is atleast one in existance (yours truely), so here we are. I felt the pull of the lua language yet again and decided to create a small plugin for neovim. The usual problem of "what should the plugin do?" arose but I quickly fell upon something that I always have on my desk when I work: my cube. Everyone has seen one, but not a whole lot of people can solve them. To solve them you need to scramble them. This seems like a strange issue but when you solve the cube in less than 30 seconds you might need to scramble the cube quite a few times in each session. Hence this plugin, now I can get a scramble whenever I want by just pressing the appropriate key mapping in neovim. My personal best on the cube is 19.60 seconds. My best average of 5 (do 5 consecutive solves, remove the slowest and the fastest and average the rest) is 27.46 seconds. By no means great but decent for a hobbyist. As a reference the world record is 3.13s single solve and 4.48s average of 5. Here is the plugin. https://lnkd.in/dqyHNmz6 A small note about the name of the plugin: When I got the idea I was listening to the song Den Svarta Fanan and decided that I wanted to honor Miesko Talarczyk (RIP) by naming the plugin after a song that he created.

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GPT-powered software agents are heralded as the next step beyond chatbots, but have only partly lived up to the hype so far. 👿 Currently agents tend to be fail due to pile-up of errors in subprocesses. For example a five-step process for an agent with individual error rates of, say, 5% lead to overall error of 26,4%. That is without taking into account that all you do to make this better, tends to make the agents *fragile*. That is, they become prone to failing due to model updates or data drift for instance. Improving sub-processes at some point always involved human-annotated data, which doesn't really scale - up till now. 😯 In this very recent interesting paper by google deepmind, they seem to have found a way to potentially improve agentic workflows *without the need for human annotation*. If this approach works beyond the context they have tried this approach in the paper (math problems), this makes agents much more feasible then they are now! 😀 Incidentally the key idea is to provide much more detailed feedback to the model beyond a simple 'works' or 'doesn't work'. I find this type of feedback tends to work better for humans too :). #AI #AIImpact #Agents

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What I truly love about coding skills and creativity is the ability to envision solutions to my own pain points and bring them to life rapidly! 💻✨ Let me give you some context: I've been on a Danish-learning journey for over a year now. My approach? It's a mix of reading, consuming content, conversing with natives, and associating new words with those activities. But here's the issue: whenever I encounter a new word, I resort to Google Translate, but then those words get lost in the air. And as a passionate data enthusiast, that just didn't sit well with me. That's when inspiration struck: why not create an app to ease the process? I can input any word, tag it, and get an instant translation. The app then automatically saves these words with their translations, dates, and categories. Plus, I've thrown in a useful flashcard feature to level up my vocabulary game. Now, you might be wondering, how did I pull this off? Well, with over a year of experience in React and Next.js, diving into Expo (React Native) was relatively easy. I kicked off this project last Friday, and within just three days, I had a fully functional MVP up and running. If you share my passion for language learning and data and want to learn more or even collaborate, don't hesitate to reach out! Oh, and if you happen to know of any exciting open software developer roles, I'm all ears! Let's chat. 😊👋 #LanguageLearning #ReactNative #Expo #SoftwareDeveloper #LetsCollaborate

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There's been a lot of talk in the API industry lately about design-first versus code-first. Today Tom Akehurst from WireMock suggests a third option: prototype-first. "An API prototype, unlike a design document or specification, can be used immediately by its consumers. The client code is written, and app features are built early on," says Tom. Upfront design is usually a good idea for API development, but it's not always used in practice. So, could more dynamic prototyping allow the best of both worlds? What do you think? Check out his post on the Nordic APIs blog today for some thoughts about how to mock prototypes and the potential benefits of this approach. https://lnkd.in/eGqGeV7D

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Principles on a wiki page... not a good strategy for organizational change. If you are part of an Architecture Modernization Enabling Team (or similar), creating documentation is a tiny part of your responsibilities. You need to get out there and spend time with teams, help them to understand and adopt principles, translate principles to their context, repeat the message until it sticks, get feedback and improve yourself... and just think about the whole developer experience. If you are looking for inspiration then look here: Truls Jørgensen & Audun Fauchald Strand. They gave an exceptional case study on this topic at QCon London 2022 (or some other time during the twilight pandemic years). https://lnkd.in/dtEmKGGi One thing I love about working at PayFit France is being part of a motivated staff engineering community that is always trying to improve in this area. #architectureModernization

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Could not agree more. What we at Fimio are building is medium code aka next-gen build tools for your predeployment/deployment pipelines. These types of tools are powerful, expand the funnel for who can build world class production level code, and drastically reduces error and cost in delivering software.

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What about working with Agile in truly enhanced way .. 👉 Bring Agile & AI-Powered Assistant together 👈 How Stark Assistant Fits with Agile Teams: ✨ Sprint Planning just done in seconds! Full tasks and resources allocation. Everyone will know WHAT to do and WHEN to do it. ✨Variation Requests offer the flexibility to replan in seconds when changes happen. ✨ Real-Time progress tracking, efficiency metrics and intelligent insights keep you on track and help you prevent risks before they happen. ✨ Integrated Time Tracking helps monitor productivity and manage workloads efficiently. ✨ Team members can stay connected, share insights, and resolve issues faster, leading to a more cohesive and productive team environment. ✨ Motivate the team with a points-based system that rewards task completion and encourages productivity. ✨ Conduct sprint retrospectives using Stark Assistant’s intelligent analysis with full transparency. Make data-driven decisions to enhance team performance. Stark Assistant: https://lnkd.in/dwkwNmFj Follow us: https://lnkd.in/dVkaChbp #Agile #AgileManagement #Stark #StarkAssistant #ProjectManagement #ProductManagement #OperationsManagement #AIForManagers #AIForLeaders #FutureOfWork

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Jan Leike, a Top OpenAl researcher who resigned earlier this week following co-founder llya Sutskever's departure, posted on X Friday morning that "safety culture and processes have taken a backseat to shiny products" at the company, The Verge reports. Leike's comments followed a Wired report stating that OpenAI had disbanded the team focused on addressing long-term Al risks, known as the "Superalignment team." Leike had been leading the Superalignment team, which was established last July to "solve the core technical challenges" in implementing safety protocols as OpenAl developed Al with human-like reasoning capabilities. Initially, OpenAl aimed to openly provide their models to the public, reflected in the organization's name. However, these models have become proprietary due to the company's claims that unrestricted access to such powerful models could be potentially destructive. Leike concluded his x post, which we've included above, by calling on current OpenAl employees to establish and promote the culture of safety he claims is disappearing. "To all OpenAl employees", he wrote, "l want to say: Learn to feel the AGI. Act with the gravitas appropriate for what you're building. believe you can "ship" the cultural change that's needed. am counting on you. The world is counting on you." #news #microsoft #bignews #breakingnews #bigtech #underreported #business #technology #ai #chatgpt #openai #safety #opentowork #letsconnect

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The curtains have closed on WWDC24, and what a blast it was! 💣 For those who couldn't catch it, here's a rundown of the key highlights: Siri: It's now equipped to understand speech errors, supports contextual dialogues, can execute text commands, and has comprehensive knowledge of all OS features to assist you efficiently. The language model is adept at generating and refining content, organizing and summarizing notifications/emails, automating data completion, providing preset quick responses, and conducting background searches, among other tasks. The Image Playground app now boasts built-in picture generation capabilities, albeit with some compromises in quality. Users can generate portraits in the Lensa style, create "Genmoji" emojis, remove objects from photos, and more—all directly on their device. Apple's introduction of "Personal Claude Compute" for cloud-based operations aims to mitigate privacy concerns. They assure users that data won't be stored in the cloud, and emphasize the cloud's usage solely for computing and inference purposes. The assistant's learning process encompasses insights from all devices and applications. macOS now enables seamless control of iPhones from Mac devices, allowing users not only to view screen content but also to manipulate their phones using mouse and keyboard via iPhone Mirroring. All functionalities, including push notifications and audio, are mirrored to the Mac, with the added benefit of keeping the iPhone screen locked for privacy. iOS users can now enhance app security with additional protections like Face ID or passwords, and even obscure installed apps from plain view, making them more challenging to locate. iMessage gains a remarkable feature—satellite messaging, compatible with the iPhone 14, facilitates communication via SMS and iMessage even in areas without cellular coverage. During calls on iPad/iPhone, users can now hand over control of the screen to the other party, facilitating remote device assistance. Furthermore, an "auto transcription" feature converts dialogues into text directly into a notepad during calls. iPad OS unveils a new calculator with integrated Math and Notes functionalities, supporting variables, handwriting formulas with the Apple Pencil, and graph creation. Additionally, "smart handwriting" corrects handwritten inputs for improved readability. This is Apple's best presentation in years, well done! 🙌 #TechNews #WWDC2024

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Have you tried the FEDn API Client to interact with your Studio project? Learn about it from Niklas Holmström in this mini-tutorial: https://lnkd.in/d6fEUM5Q #federaredlearning

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Lets make June AI month, allegedly Ilya Sutskever former Chief Scientist of OpenAI compiled a list of documents and papers that contain 90% of what was important in AI, allbeit a while ago now its a good place to start. So I'll post one a day and lets work through this together. Day 1 The Annotated Transformer Dive into the mechanics of Transformers with the Annotated Transformer. This Harvard resource provides an in-depth, line-by-line implementation of the Transformer model, complete with explanations and code. Key sections cover model architecture, training processes, and real-world applications. Ideal for anyone looking to understand or build upon the "Attention is All You Need" framework. Explore the intricacies of multi-head attention, positional encoding, and more with practical examples and visualizations. https://lnkd.in/dGREEB_5

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The establishment of Ilya Sutskever's new AI company, Safe Superintelligence (SSI), could have several impacts on the AI industry. Firstly, SSI's focus on developing safe superintelligence will advance the field of AI safety, ensuring that AI technologies are developed within secure frameworks. This could increase industry-wide emphasis on AI safety, encouraging more companies to incorporate safety considerations into their technology development. Secondly, the emergence of SSI could stimulate market competition, particularly in the areas of superintelligence and alignment technologies. This competition can drive faster technological innovation and progress. Given Sutskever's prominent role at OpenAI, his departure and the creation of a new company may also lead to talent migration, fostering knowledge and technology exchange within the industry. Lastly, SSI's emphasis on avoiding short-term commercial pressures might offer a new business model for other companies to consider. It could encourage more enterprises to adopt long-term goals and ethical considerations, promoting sustainable development across the entire AI industry.

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When our initial approach as implemented doesn't yield results, new incremental ideas emerge. This thinking is too far from a managerial mindset <where the expectation is fix has to work as per paper thinking> but rather from pure engineering where the skills are in rapid experimentation and innovation on the go with CODE. #codeit

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I am speaking at Builders After Dark this evening about hybrid workflows for software and hardware development, creatively titled, how not to let the smoke out in three easy steps. Of course, if it was that easy, you probably wouldn’t need me to talk about it so come along if you are a builder of IoT things and wish to avoid a few pitfalls along the way. https://lnkd.in/gp5iuJuv

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Are we overlooking the importance of Ethics and Responsible AI? Recently, OpenAI faced significant controversy over its #ChatGPT voice model named "Sky." Users and critics pointed out its striking resemblance to Scarlett Johansson's voice, particularly her portrayal of an AI assistant in the film "Her." This led OpenAI to pause the use of the Sky voice profile for its GPT-4o model. OpenAI clarified that the voice was not intended to mimic Johansson but was the natural speaking voice of a different professional actress. Nevertheless, the resemblance sparked discussions and even legal concerns. If pioneers like OpenAI face such controversies, imagine how other companies adopting AI might face challenges in navigating copyright, privacy, and ethical considerations in AI development. As AI advances, the need for clear guidelines and protective measures becomes increasingly critical. What do you think: an overreaction from a high-profile actress or justified concern over potential copyright infringement? #AI #deepfakes #voicetechnology #responsibleai #ethics

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5 common technology mistakes and how to avoid them.

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