Both differentiation and distinction are essential for brands to stand out in competitive markets. Differentiation is based on a product, service, or brand. It comes from unique features, outstanding customer service, or memorable logos. Distinction is based on the reputation or identity of a business within its industry. A company’s vision, mission, and leadership can all contribute to this. The post includes examples of both pillars.
E-commerce stores typically see an 18% return rate. This guide shares strategies to reduce return rates and keep customers happy with an optimized returns process.
StackOverflow picked Svelte as its frontend framework in the process of modernizing its UI. Traditional frameworks like React send the built runtime code for the browser to execute, so the browser will do work like initializing components and managing the virtual DOM. Svelte, on the other hand, does this work during compile time, on the developers machine. It does not push any framework-specific runtime library code to the client’s browser, thus resulting in better performance.
Uber has extensively adopted Go for backend services, leading to a massive Go codebase with 90 million lines of code. Pointers, a fundamental aspect of Go, are used for efficient memory management and data manipulation, but can cause nil panics, a common runtime error. To address this, Uber developed NilAway, an automated tool for detecting nil panics using sophisticated static analysis. NilAway, now open-sourced, has been effective in Uber's large Go monorepo, significantly reducing runtime errors caused by nil panics.
Non-technical skills are just as important as technical skills during interviews. Key skills include the ability to ask clarifying questions in the face of ambiguity, thinking in terms of trade-offs, articulating one's thought process clearly, demonstrating humility, and being receptive to guidance. During interviews, candidates should understand and reflect on problem statements, consider the pros and cons of solutions, communicate clearly, admit knowledge gaps, and listen actively during interviews.
This article shares key practices that a software developer wished they had adopted earlier. It emphasizes the importance of reading and applying the C.O.D.E (Capture, Organize, Distill, Express) method to deepen understanding and retain knowledge. The article stresses the value of pair programming, highlighting how it fosters learning and improves code quality.
This article shares insights and strategies for managing ADHD in relation to software development from someone diagnosed with ADHD at 44 after years of mental health struggles. ADHD manifests in various forms like inattention, hyperactivity-impulsivity, or a combination of both. It often goes undiagnosed. The article emphasizes the importance of creating an ADHD-friendly work environment, utilizing tools like note-taking apps for organization, scheduling tools for time management, Slack for communication, and music for focus.
The Buf CLI is a tool for working with Protocol Buffers. It features the ability to manage Protobuf assets easily. Buf has a linter to enforce good API design choices and structure. It also comes with other tools, including a breaking change director and formatter.
DenoKV is a self-hosted backend for Deno KV, a JavaScript-first key-value database. It features ACID transactions, multiple consistency levels, and JavaScript APIs.
Satya Nadella has been actively promoting the potential of AI-powered tools for developers at various conferences. He sees this transition to natural language AI tools as pivotal, emphasizing that these tools will make development more accessible and increase productivity. At the same time, he acknowledges the need to address intellectual property concerns and fair use in the context of these AI tools, assuring that Microsoft is mindful of legal implications and is ready to take on liability to protect its users.
GPTs allow users to create and interact with custom GPT chatbots. This article covers various GPTs like the Dejargonizer, JavaScript Code Interpreter, and Dependency Chat. It also touches on the potential of actions, which enable GPTs to call API endpoints - this is still a complex feature to get working correctly.
The curl project emphasizes the importance of maintaining support for legacy platforms to ensure that changes in the code do not break functionality on these older systems. This commitment stems from curl's core principle of stability and trust, ensuring that applications relying on curl continue to function seamlessly across different versions and platforms. The curl project occasionally deprecates features, but with transparency.
Innovation in FinTech means developers have more options than ever when it comes to building payments infrastructure. However, this also means more complexity. Get this free ebook [5] to learn how to think about setting up your payment operations stack [5], and the key considerations for a growing company:
SpaceX may launch the second Starship orbital test as soon as this Friday. Elon Musk said on X that SpaceX will receive a launch license from the Federal Aviation Administration in time for the launch. The last orbital attempt was almost seven months ago - it ended in a mid-air explosion that led to a months-long federal investigation. The FAA and the US Fish and Wildlife Service have yet to announce the completion of an environmental review for the test. The most critical part of the test flight will be hot staging, where Starship's upper stage separates from its boost and ignites its own engines.
Upstart phone manufacturer Nothing says its new Nothing Chats app allows Android users to use iMessage, complete with blue bubbles sent to their iPhone contacts. An early version of Nothing Chats will start rolling out on Friday. The app will only work for Nothing Phone 2 owners. Nothing claims that its setup is completely legal and that it doesn't see any scenario in which Apple could block it.
An AI meteorology model from Google DeepMind called GraphCast significantly outperforms conventional weather forecasting methods in predicting global weather conditions up to 10 days in advance. GraphCast outperformed the world's leading conventional system in 90% of 1,380 metrics. It can predict hundreds of weather variables over 10 days at 0.25° resolution globally in under a minute. GraphCast is estimated to be about 1,000 times cheaper in terms of energy consumption compared to traditional methods.
xMEMS is a five-year-old startup that specializes in making speakers from microelectromechanical systems (MEMS) silicon-and-piezoelectric chips. Its designs have many advantages over other miniature speakers. A new technology designed by the company uses ultrasonic modulation and demodulation to create pressure and generate sound. This article covers MEMS systems and explains how xMEMS' ultrasound system works.
New Relic is pioneering AI observability with New Relic AI Monitoring (AIM) [10]. AIM makes it easier to troubleshoot and optimize AI applications for performance, quality, cost, and responsible use of AI. With these capabilities, engineers have unprecedented visibility and insights across the AI stack. Learn more about New Relic AI
Inko is a statically typed language that compiles into machine code using LLVM. This article highlights lessons learned while developing the programming language. Inko was originally heavily inspired by Ruby and Smalltalk, but 10 years later, it's closer to Rust, Erlang, and Pony. It has been used to write meaningful applications like HVAC automation software, a Markdown parser, a changelog generator, and more.
This repository contains a document that outlines recommendations for cryptographic algorithm choices and parameters as well as important implementation details. Some knowledge of cryptography is required to understand the terminology used in the document. The document aims to be a resource for those getting into writing programs related to cryptography.
Playing professional poker can sound like a dream job - you aren't answerable to anybody, you set your own schedule, play from anywhere in the world, and the money is close to VP+ level in unicorn/FAANG companies. However, there are many downsides to playing the game for a living - at the highest levels, it becomes an intense grind that can sometimes bring no (or negative) results for long periods of time. There are many more stable forms of income that have a better potential for growth.
Many tech companies were caught off-guard by the introduction of AI. The easiest way for them to catch up was large-scale GPU purchasing, making Nvidia the AI kingmaker. This article looks at the factors that amplified the GPU shortage to understand how the 2020s will unfold. It aims to bring tech-savvy people up to speed on the Nvidia craze, LLM training mega-runs, and the resulting shortage.
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Marques Brownlee is a 29-year-old YouTuber who makes videos about new tech - makers of everything from smartwatches to electric cars crave the attention one of Brownlee's videos can bring.
There's nothing preventing Android developers from bringing apps to VR - Meta's Quest headsets run a heavily modified version of Android that supports the installation of Android apps.
Retool's State of AI report, which surveyed 1,500 tech workers, reveals generative AI's growing impact on business. MongoDB Atlas Vector Search leads in popularity among vector databases, vital for AI-powered apps enhancing productivity and customer experiences. However, challenges in AI adoption persist, notably in model accuracy and data security, with C-suite executives showing greater optimism than individual contributors.
You.com has launched APIs starting at $100 per month, enabling large language models like Meta’s Llama 2 to access up-to-date internet data and offering enhanced answer accuracy through web search and news functionalities.
At OpenAI’s DevDay, Microsoft announced plans to offer the new GPT-4 Turbo on Azure OpenAI Service by year-end, providing enhanced control and efficiencies at lower costs. OpenAI's Custom Models program will seamlessly integrate with Microsoft's ecosystem, boosting enterprises’ AI capabilities.
Nous research has released a very strong 34B model built on top of the bilingual Yi model. Capybara is trained primarily on multi-turn data with more than 1000 tokens per conversation, which makes it uniquely positioned for certain user-facing tasks with high information density.
When new models come out with astounding capabilities, it is natural to question whether they actually trained on the validation data or on benchmarks. Decontamination is the process of removing such testing data from the input. The LMSYS group found that if you rephrase test data in a way that passes decontamination but still contains information about the benchmark, you can fake your way to amazing performance.
This study introduces MonoDiffusion, a novel framework for self-supervised monocular depth estimation, which uniquely approaches the challenge as an iterative denoising process. It utilizes a pseudo ground-truth diffusion process guided by a pre-trained teacher model to improve depth map accuracy without using actual depth ground-truth in training.
Need to deliver real-time, low-latency data services to edge-based applications? Use NATS.io [13] — the same technology [13] used by thousands of companies across leading Financial Services, Automotive, Retail, and Government institutions. ➡️ Process massive amounts of data [13] where it is generated in real-time
This project introduces Knowledgeable Preference AlignmenT (KnowPAT), a novel approach to improving domain-specific question answering using large language models.