Allez Go is a revolutionary AI referee for fencing

Allez Go

allezgo

All scientific ambition is grounded in the assumption that the world is a complex system of simple interactions. Measuring and testing hypotheses through the scientific method is sort of like a “guess the next number in sequence” game. The game seems simple until you realize that there are infinitely many sequences that fit the constraints, and the next number could be literally number. 1, 2, 3, 4 what comes next? any All reinforcement learning, including deep learning and neural networks have historically and persistently to this day, tend to approximate rather than reproduce its input. First it was xor. Now it is optical illusions. Every approach to learning has limits, even to the very core of what we know as humans, not just as machines. However, this problem has never been a huge obstacle. We believe that the world is simple, and all evidence to this day suggests that it is simple to some fundamental level. This means that the perfect mathematical models that we generate from Occam’s razor should be sufficient. Or at least last until we look really really close or really really far away. This is the most interesting and tantalizing part of the scientific method, an almost religious undertone, is that so far all of our models have been flawed from the beginning. The resulting point of view, is that not just our fledgling machines, but also our entire society, is based on a rough approximation of true reality. We already expect the next model breaking discovery. We already know that we are still in a cave, watching the shadow of reality dance before us. So what do we do: we look closer, and we look farther. Closer and farther than ever before. So far now that we need machines to help us gloss through all the data that we gather. And that is now where our machines are. Stuck in Socrates’ cave, and blindly searching the wall to find a better view of ourselves.

AI meets Socrates and the Allegory of the Cave

Imagine we're stepping into a sci-fi movie, but it's real life. That's the vibe at SXSW sessions, where tomorrow's ideas feel like they're unfolding today. In one of the first talks I caught at SXSW this year, , the big boss at MIT Technology Review, laid out a list of ten tech breakthroughs. She's betting these will seriously shake up our daily lives and how we work. Elizabeth Bramson-Boudreau Here's the scoop on what made her list: It's like AI's about to be in everything we touch. AI for Everything: Think sun power on steroids. Super Efficient Solar Panels: This one got everyone buzzing. ( or advertising..) Apple Vision Pro: No gym? No problem, maybe. Weight Loss Medicines: It's about getting cozy with Earth's heat. Advanced Geothermal Systems: But not the snack kind. Chips: Sounds like sci-fi, but it's real. First Gene Editing Therapy: Big word, even bigger deal. Exascale Computers: They're hot, literally. Heat Pumps: After Elon Musk stirred the pot with X, new social networks are popping up trying to take the throne. Twitter Killers: What Are Exascale Computers? These beasts can do a quintillion operations per second. Yes, that's a lot of zeros. Elizabeth thinks these computers will change the game for everyone, not just the science folks. Imagine cracking problems or discovering stuff that seemed out of reach before. She believes we'll see how these computers can be more accessible to regular folks soon. The Brave New Future of the Recent Past from the kicked off a and a chat about how our stories, especially . It's all about the power of storytelling and finding new ways to talk about artificial intelligence that matters to us as people. Brent Reidy New York Public Library session with a throwback to Plato around AI, need a fresh, human-centered twist The next day, I caught a keynote with , aka and These guys are the brains behind which won seven Oscars. They discussed why they make films and how storytelling is core to being human. The Daniels Daniel Scheinert Daniel Kwan. "Everything Everywhere All at Once," Kwan shared his unease about AI in filmmaking, hinting at excitement and worry about what's to come. The Brave New Future of the Recent Past 's dive into Plato's cave allegory at SXSW wasn't just a trip back to Philosophy 101. It turned out to be a sneak peek into a theme I'd bump into repeatedly at the event: the sheer power of storytelling. Especially the kind we need right now about AI—stories about us, the humans, at the heart of it all. Brent Reidy This moment was like a heads-up that at SXSW, amidst all the tech talk, there's this big conversation about how we tell stories in the age of artificial intelligence. And it's not just any stories, but those that zoom in on the human experience, making sure we're not just talking tech for tech's sake but connecting it to what it means for us, living in this world, right here, right now. The Rise of Brain-Computer Interfaces (BCI) Even though the idea of a wearable device that processes the electrical signals in your brain and spits out real-time data might still feel like a page ripped from a sci-fi novel, we're seeing this tech grow leaps and bounds every single day. And now, it's inching closer to becoming something we might see in the market, not just in movies. During a session at SXSW, Adam Molnar from Neurable shared how they're crafting headsets equipped with BCI tech. These aren't your average headsets, though. They're designed to track how focused you are on a task. The cool part? They might even help you improve at focusing, theoretically teaching us how to tune into what we're doing with laser precision. "Your Brain in Artificial Intelligence: Neurotech's New Horizons" Adam dished out details about these demo headsets that haven't hit the shelves yet, expressing his strong belief that BCI gadgets will be part of our everyday lives pretty soon. This is a hint that the future of how we interact with our devices, and maybe even how we understand our own brains, is about to shift in a big way. AI Isn't a Usurper of Human Creativity; it's a Compliment That Enriches it. In an invigorating exploration of the intersection between artificial intelligence and marketing, I had the pleasure of moderating a panel titled in Austin. The session was with marketers Justin Day and Anne Ahola Ward. "Marketing to Humans in an AI World" at SXSW 2024 Our discussion explored AI's transformative impact on marketing, unwrapping layers of how this technology reshapes strategies, content creation, customer engagement, and more. The panelists shared insights, shedding light on how AI tools, like the , demonstrated, are revolutionizing the way marketing agencies craft presentations, proposals, websites, or visuals. Companies, in turn, are encouraged to foster an environment of learning and experimentation, allowing their teams to engage with these 'new tools’ and unlock their full potential. Gamma app SXSW’24 Startup Pitching Competition Watching the SXSW Pitch 2024, presented by KPMG, was a real treat. The place was packed. This year, the big themes among the showcased innovations were artificial intelligence integration, industry-specific solutions, and projects focused on sustainability and environmental impact. The competition was international, with startups from Belgium, Britain, Estonia, France, Israel, the Netherlands, South Korea, Taiwan, and Vietnam. Category Winners: AI, Robotics, and Voice: Gan.ai (San Francisco, CA)
Enterprise and Smart Data: Swif.ai (Santa Clara, CA)
Entertainment, Media, and Content: OpusClip (Redwood City, CA)
Extended Reality and Web3: Applix (Austin, TX)
Food, Nutrition, and Health: STMPatch (Storrs, CT)
Future of Work: Folio.works (Oakland, CA)
Innovative World Technologies: Cephable (Boston, MA)
Smart Cities, Transportation, and Logistics: Lotus (San Jose, CA)
Student Startup: Paradigm Robotics (Austin, TX) "Best in Show" at the SXSW Pitch 2024, went to OpusClip. Winners bagged a cash prize and earned two badges for next year's SXSW conference. However, perhaps the biggest win was the chance to present to a massive audience of SXSW attendees and potential investors. From 2009 to 2023, over 93% of the 647 companies participating in the SXSW Pitch have secured around $23.2 billion (excluding undisclosed grants, angel, and seed funding). SXSW 2024 once again proved it's more than just a tech and innovation event; it's a preview of tomorrow that already has us all buzzing about next year. And for those already looking forward to the next chapter, mark your calendars: SXSW 2025 is set for March 7-15, 2025. It's never too early to start planning for another round of inspiring discussions and groundbreaking ideas! Also published here

Step Towards Sci-Fi: AI and BCI Insights From SXSW

This is the first entry in my 100 days of challenge. I will share the things that I learn, related to Golang or its configuration in my environment, each day for 100 days. In this post, we will discuss the basics of Go Lang and why you should learn it. It's not an in-depth guide but a high-level overview for getting started with Go Lang. Go Lang A bit of Context In April 2021, I started learning and to date, I have more than 10 projects(not all deployed) created and publicly open on . It has been a great experience so far and I am still in between an internship with a project to be created in Django. The learning process after I started blogging in June 2021 has been a different fantasy, I have been enjoying the process of writing the things I learn. So, this Spring/Summer I am creating a challenge of 100 days for learning Go Lang and documenting the process. Hopefully, this will be a useful place to learn for a beginner and more than that a place for me to reflect on in the future. Django GitHub Leaving the rant aside, let's start with the best question to answer, What is Golang? What is Golang? (officially called Go) is a programming language developed by Google. It is statically typed like C\C++, Java, Kotlin, etc, with a syntax similar to dynamic languages like Python, Js, Ruby, Lua, etc. So, Golang provides the best of both worlds, the swiftness to write code and also providing control and memory safety. Golang Go is regarded as the language of the cloud i.e. it is heavily used in the cloud infrastructure, it involves creating microservices, APIs, containerization, orchestration, and a lot of other technologies. It can be a super useful programming language for DevOps folks and people into Cloud computing. Although Go is designed for Cloud Infrastructure, that doesn't mean you can't use it elsewhere. There are a lot of fields in which Golang nicely fits. We'll discuss why you would want to learn Golang and state the domains where it can be used. Go programmers are called Gophers Why learn Golang? There are a lot of reasons for learning Go as your next programming language. Not only it is quite famous but it is significantly faster than other programming languages like Python and Javascript. It is a simple language to pick up as it is designed for modern world technologies. There is an added advantage to learning Go Lang as it is a new programming language(not as old as Python). It was open-sourced in 2012 and has gotten a great boost in the last five years as cloud companies are on the rise. 1. GO lang is simple GO lang is a simple programming language. It is quite similar to in terms of its syntax, although it also inherits characteristics from the Java/C++ paradigm. It has a single entry point program via the function similar to Java/C++ languages and is compiled into binary/executable code before running. It has the standard library that provides a lot of functionalities out of the box. It provides some quite handy tools and has support for creating web applications in the core language itself. Python main 2. GO lang is fast (Execution Speed) Though it might not be the fastest language of all time, it beats Python and Javascript significantly in the context of backend development. Go lang is a compiled language and hence it has no overhead of converting into byte code or the interpreter. Go lang also checks for unused variables, functions, identifiers, and packages, this can boost the speed of execution by a good amount additionally optimizing the memory footprint of the program. We can see, that Go lang is almost equivalent to C and C++ programming languages, though this might not be the best comparison of speed as it depends on quite a lot of factors and the context of programs. Still, Go lang has a significant edge over Java and C++ which is a great factor because of the writing complexity involved in those programming languages. 3. GO lang is fast (Writing Speed) GO language is fast, yes I get that. It is faster in terms of writing speed. If you sit down to write the same code in Java/C++ or Go, having time constraints, you will move out with Go as a winner. It is much easier to write code in Go than compared to C/C++, Java, or even Javascript. Golang prefers clear code over fast code, though it might not be as fast as Rust or C++, it is definitely much easier and quicker to write than the other counterparts. Go is designed for writing software that can scale with large codebases and teams. So it's not a surprise it is used to create cloud computing technologies like Docker, Kubernetes, and other tons of cloud-native tools. 4. GO lang is made for the modern world Go lang is the modern C Go lang is a modern language, it is not as ancient as C/C++ or Java. It is designed for Cloud-native applications which are scalable and optimized for performance meeting the needs of the modern demand for bleeding-edge technologies. It is designed by the people who created the UNIX operation, Ken Thompson. Though there were other go authors like Robert Griesemer and Rob Pike. Go lang has been designed keeping the idea of C but also considering the context of the modern world. It makes tasks like concurrency a lot simpler but it avoids dangerous and manual control of memory by not allowing pointer arithmetic. Where you can use Golang? Go land finds its use case in a lot of domains including Cloud computing, Web applications, CLI and DevOps tools, and so on. As GO is a general-purpose programming language, you can use it anywhere in the relevant fields of technology. Cloud-native applications As Golang has capabilities to execute low-level system calls efficiently, cloud-native tools can be created in Golang to improve efficiency and memory usage. As Go uses fewer resources like CPU and memory, it can optimally be used for applications that require almost no delay in the response. It also handles concurrency very well using goroutines which are way simpler to implement. All these factors contribute very well to constructing a modern cloud-native application. Golang is used in Cloud-native technologies like: - containerization technology Docker - Container Orchestration Kubernetes - Cloud Hosting Platform Google Cloud This makes Golang widely adopted and has firm grounds for the future as well. Web applications As Golang is highly efficient and fast it can be used to develop web applications. It can scale a web application very well as it is a statically typed ecosystem. It also has extensive support for integrating databases into web applications. Golang doesn't require any 3rd party integrations to create the web apps, it is developed using internal or external packages and modules. The performance of Golang is the core feature for creating web apps in it, it heavily outperforms Javascript(Node) and Python. As golang code is compiled before running, this makes a single executable depending on the operating system, this improves the performance to a great extent. So, golang should be an ideal choice for developing web applications. - Music System Webapp Soundcloud - Cab Booking/Ride Sharing App Uber - E-commerce Webappp Allergo DevOps tools A lot of DevOps tools like Prometheus, Grafana, Terraform, and Hugo are written natively in Go. Having appropriate features like simplicity, scalability, efficiency, and concurrency, Golang fits the DevOps space really well. Golang is already used in cloud-native technologies as mentioned earlier adopting it in the DevOps space is a great choice as it creates an even and supportive ecosystem. The paradigm of Java is surprisingly built-in golang as well without conversion into byte code. This is a great feature any DevOps engineer would dream of, using a single code base for multiple platforms can save a lot of time and improve productivity. Write once and Run anywhere - Monitoring system and time series database Prometheus - Platform for monitoring and observability Grafana - Building, Changing, and Versioning Infrastructure Terraform - Run Kubernetes locally Minikube - standard library for microservices Kit Who uses Golang? Golang is a widely used programming language, it is used by some of the big companies around the world. Of course, Google uses it, apart from Google, it is being used by companies like: Netflix PayPal Microsoft Dropbox Meta (facebook) Uber Twitter Twitch There are so many tools created tools using golang like the gh-cli, cockrach-db, jwt, etc. You can see a whole list of applications/tools/frameworks written in Go from this awesome list Conclusion Go lang is an excellent choice for anyone into web development, cloud-native, DevOps, and CLI tools. Being a recently developed language, Go has grown a lot faster than any other language in the programming world. After learning Python over two years, I might want to dabble into Go but not completely leave Python. Python has a great community and is widely adopted in almost all fields of development. Still, trying out new things is what keeps you in the hunt for opportunities and meeting new people. So starting from today, I will share my learning a new thing in Go lang every day for 100 days. At least that's the plan. The post might be in the form of a long post or a short TIL on the blog. Check out the GitHub repository for the 100-day challenge . If you have any queries, suggestions, or feedback please let me know in the comments or on the mentioned social handles. Thank you for reading.  Happy Coding :) here Also published . here

Kickstarting Your GoLang Journey

JavaScript Objects: From Fundamentals to Advanced Techniques

জাভাস্ক্রিপ্ট অবজেক্ট: ফান্ডামেন্টাল থেকে অ্যাডভান্সড টেকনিক

JavaScript-Objekte: Von den Grundlagen zu fortgeschrittenen Techniken

Objetos JavaScript: de los fundamentos a las técnicas avanzadas

Objets JavaScript : des fondamentaux aux techniques avancées

जावास्क्रिप्ट ऑब्जेक्ट: बुनियादी बातों से लेकर उन्नत तकनीकों तक

JavaScript オブジェクト: 基本から高度なテクニックまで

JavaScript 객체: 기초부터 고급 기술까지

Objetos JavaScript: dos fundamentos às técnicas avançadas

Объекты JavaScript: от основ к продвинутым методам

JavaScript Nesneleri: Temellerden İleri Tekniklere

Đối tượng JavaScript: Từ cơ bản đến kỹ thuật nâng cao

JavaScript 对象：从基础知识到高级技术

Intelligent DevOps: 8 Lessons Learned from Nature

ইন্টেলিজেন্ট ডিওঅপস: প্রকৃতি থেকে শেখা ৮টি পাঠ

Intelligentes DevOps: 8 Lektionen aus der Natur

DevOps inteligente: 8 lecciones aprendidas de la naturaleza

DevOps intelligent : 8 leçons tirées de la nature

इंटेलिजेंट DevOps: प्रकृति से सीखे गए 8 सबक

インテリジェントな DevOps: 自然から学んだ 8 つの教訓

지능형 DevOps: 자연에서 배운 8가지 교훈

DevOps Inteligente: 8 Lições Aprendidas com a Natureza

Интеллектуальный DevOps: 8 уроков, извлеченных из природы

Akıllı DevOps: Doğadan Öğrenilen 8 Ders

DevOps thông minh: 8 bài học rút ra từ thiên nhiên

智能 DevOps：从大自然中汲取的 8 个教训

The long obscurity of the Dark Ages lifted over Italy

CYNTHIA AT BAY.

INTERPRETATION OF LANGUAGE.

ON DOMESTIC AMUSEMENTS AND SOCIAL DUTIES.

THE PSYCHOLOGY OF DREAMS

On Some Crucial Points in Psychoanalysis

After this long digression

THE TRANSFORMATION OF THE LIBIDO. A POSSIBLE SOURCE OF PRIMITIVE HUMAN DISCOVERIES

Stories, News & Mentions about ALLEZGO

Allezgo’s Stories on HackerNoon