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Stripe's internal database as a service, DocDB, is built on MongoDB and designed for scalability and reliability. DocDB uses a proxy server to handle read/write requests, a central Chunk Metadata Service to track data chunk locations, and a Data Movement Platform for easy data migration between shards.
Async programming can make Ruby on Rails apps faster by delaying non-essential tasks and parallelizing I/O-bound operations. This can be achieved using methods like `deliver_later` for emails, `load_async` for database queries, and `dependent: :destroy_async` for dependent associations. However, while async can speed up apps, it can also add complexity, so it's better to address basic performance issues first and use async judiciously.
Python Notebooks promote bad coding habits like neglecting testing and linting due to their ease of use and impermanence. They also worsen personal productivity by causing distractions and creating inconsistencies between the notebook environment and production. While they seem fast to iterate on, they slow down team collaboration by making it difficult to track changes, maintain awareness of ongoing work, and share useful code snippets.
The Pragmatic Engineer's survey of GenZ software engineers revealed that despite generational labels, young software engineers share common traits with older ones, particularly in valuing supportive and accommodating work environments. GenZ respondents are described as energetic, ambitious, and adept communicators who are ready to make a significant impact in the tech industry.
Microsoft's Python in Excel is designed as an alternative to Excel's formula language, not VBA, and integrates Jupyter Notebook cells into the grid. It is not ideal for beginners due to its non-interactive data analysis and challenging diagnostics pane. However, it's still pretty useful for computationally intensive tasks, AI applications, advanced visualizations, and time-series analysis.
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In this online talk by Confluent and SAP, you'll learn how to keep every system that relies on SAP data in sync with the latest and greatest real-time data. The session includes a demo of using SAP Datasphere and Confluent's Kora Engine [11] to build real-time
A simple checklist of the essential items to include in your bug reports. This includes a title, steps to reproduce, visual proof, expected vs actual results, log statements if applicable, and environment details.
Quartz is a set of tools that helps you publish your digital garden and notes as a website for free.
Codemod provides tools to migrate code quickly. It is partnering with the React team to build and maintain the `react-codemod` repo, which offers open-source codemods to make React-related migrations fast.
Provable software systems guarantee the correct functioning of software by using mathematical logic and proofs. This approach can help to catch bugs and vulnerabilities early on, making systems more reliable and secure. Simple systems that are more provable include an IoT light bulb and a Lego garage with a cryptographic library.
Private group chats have become the hub for interesting tech discussions due to the cultural shifts and the rise of online communities. The success of these group chats depends on a strong leader, active members who inject new ideas, and the existence of smaller side chats for private conversations. Groups should be diverse and sizes should be limited, while inactive members should be pruned to maintain the quality of discussions.
Unstructured data like README files, code comments, and issue descriptions are hard to analyze but hold valuable insights. Retrieval-augmented generation (RAG) uses additional data sources like vector databases or search engines to improve the quality and relevance of outputs from large language models. RAG can help surface organizational best practices and uncover user pain points from unstructured data by providing contextually relevant responses to developers' questions to improve their productivity.
Development on Firefox is now moving to Git for version control.
Swift's type checker can be slow due to the way it infers types, especially in complex expressions with multiple possible combinations, leading to exponentially increasing compilation times.
Google Chrome's engine has adopted SIMD parsing of HTML to quickly jump to specific characters.
JetBrains has released security updates for all IntelliJ-based IDEs and the GitHub plugin to fix a vulnerability that potentially exposed access tokens to third-party sites.
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IPOs are serious business — and you'll need your financial operations to be efficient, error-free, and auditable well in advance.
Apple and OpenAI's partnership isn't expected to generate meaningful revenue for either party, at least at the beginning. Apple believes that pushing OpenAI's brand and technology to its devices is of equal or greater value than monetary payments so it isn't paying OpenAI as part of the deal. The deal isn't exclusive - Apple is already discussing offering other chatbots as additional options. Apple eventually plans to make money from AI by striking revenue-sharing agreements with AI partners.
Meta is reportedly looking to cut down on its number of vice-president positions from 300 to about 250. The company's job cuts were guided by principles focused on making Meta an even stronger technology company. These principles included removing multiple layers of management, canceling projects, making every organization leaner, building an optimal ratio of engineers to other roles, and investing in AI and other tools. Meta's capital expenditures on AI and Reality Labs will range between $35 billion and $40 billion by the end of 2024.
A recent tweet from Tesla's official account listed a rundown of the company's accomplishments under Elon Musk's leadership since 2018, when the $55 billion pay package was approved by shareholders. The last item on the list claims that the company has two Optimus robots performing tasks in a factory autonomously. Musk recently said that the Optimus robot might go on sale as soon as next year. It is expected to cost 'less than half of a car'.
Cerebras, a California-based company, has demonstrated that its second-generation wafer-scale engine is significantly faster than the world's faster supercomputer in molecular dynamics calculations. It can also perform sparse large language model inference at one-third of the energy cost of a full model without losing any accuracy. Both achievements are possible due to the interconnects and fast memory access enabled by Cerebras' hardware. Cerebras is looking to extend the applications of its wafer-scale engine to a larger class of problems, including molecular dynamics simulations of biological processes and simulations of airflow around vehicles.
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Data brokers build shadow profiles of you that include a frightening amount of personal details. They sell them to scammers, insurance companies, banks, businesses, and even the government. And to stop this, you'd need to contact hundreds of data brokers… or just use Incogni [10]. 3 minutes to set up, 180+ data brokers tackled. Use code
Restate is a platform for building resilient applications that tolerate all infrastructure faults. It enables developers to easily build workflows, event-driven applications, and distribute services in a fault-tolerant manner with durable async/await. Restate is great at building lambda workflows as code, transactional RPC handlers, event processing with Kafka, and more. It supports TypeScript, Java, and Kotlin.
NLUX is a conversational AI JavaScript library that provides a UI for large language models. It makes it super simple to integrate powerful large language models into web apps. NLUX features React components and hooks, LLM adapters, streaming LLM output, and custom renderers.
Founder liquidity is the practice where founders sell a portion of their shares during a funding round. It allows founders to reduce risk and secure personal financial stability while continuing to build the company with a fresh influx of venture capital. The practice is often kept secret because it undermines the narrative of the founder who is 'all-in'. It might change how startups are perceived and valued if it were widely known that founders could de-risk their financial position while their employees remained all-in.
Competitive Excel is a real thing. The Excel World Championship was recently held at the MGM in Las Vegas. This article takes readers to the front rows of the event. It details what the competition entails and what the event was like. While the event may never be mainstream, it proves that spreadsheeting can be a sport.
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10,900 video game industry employees have been laid off so far in 2024 compared to the prior record of 10,500 in 2023.
Systems powered by Nvidia's Hopper architecture dominated the results of two new tests from MLPerf, an AI benchmarking suite, that compare the fine-tuning of large language models and training of graph neural networks.
Elon Musk responded to Apple's integration of OpenAI ChatGPT on some of its devices by threatening to ban all Apple devices from the premises of his companies.
The vast majority of the revenue comes from OpenAI's products and services - the company has been working to boost revenue by selling services to enterprise customers.
Firefox will start automatically upgrading audio, video, and image subresources from HTTP to HTTPS starting with version 127.
This article contains a transcript of an interview with Aidan Gomez, CEO of Cohere, where he discusses Cohere's path to profitability, the benefit of competition in the enterprise space, AI's current abilities, the future of large language models, and more.
Stability AI has released SD 3 weights for non-commercial use, with commercial use available on request.
Databricks has partnered with Shutterstock to build a Shutterstock-branded AI image generation model.
OpenAI has more than doubled its annualized revenue to hit $3.4B.
In an alternative world, BERT models would have been discovered to be in-context learners instead of their decoder-only GPT counterparts. This paper explores when that is true and finds that, unsurprisingly, BERTs are excellent at information retrieval but struggle with knowledge acquisition - likely due to the bidirectional attention mechanism.
This paper explores the idea of treating a language model that can update text as a backpropagation system. The researchers find substantial improvements in benchmark performance, not compute matched, against baseline models.
DeepMind discovered an excellent extension to the human labor-intensive process supervision process. It found that it could automate much of the process with strong base models, leading to substantial mathematical reasoning performance on Gemini Pro tuned models.
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Google's DeepMind has open-sourced its differentiable fusion tokamak simulator written in Python-Jax. The simulator has strong auto-diff capabilities and covers a number of extremely powerful PDEs.
AsyncDiff is a new acceleration scheme that enables parallel computation in diffusion models. It significantly reduces latency without compromising quality by dividing the noise prediction model into multiple components and running them on separate devices.
Researchers have tackled the efficiency issues in autoregressive large language models by exploring linear attention methods combined with speculative decoding. This study introduces an augmentation technique for linear attention, making it compatible with speculative decoding and improving both training and performance.
Meta is upgrading its global data centers to support AI demands. It is planning to scale to 600,000 GPUs for AI training jobs. This involves innovative maintenance strategies and tools like OpsPlanner to ensure minimal disruptions and consistent performance while enabling rapid infrastructure scaling.
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Social networks make it hard to delete your history. Redact makes it easy. Automatically remove your content from Twitter, Reddit,
Fast inference on the phone for the special Mistral 47B MoE model.