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By reverse-engineering the replay files of League of Legends, a high-fidelity dataset was able to be created. This was a big win because existing datasets are limited in granularity and completeness. The tool decrypts and processes replay files, extracting precise gameplay data at millisecond intervals through custom emulation and techniques like trampoline hooking.
Arbitrary data can be embedded within a single emoji using Unicode variation selectors. These selectors, while invisible in rendering, can be concatenated after a base character to represent bytes of data. This effectively hides information, as shown further with example code.
Systems optimized for scalability often perform poorly on a single machine, and vice-versa, due to factors like coordination overhead and the loss of shared resources when distributing computation. Amdahl's Law and real-world examples, such as CPython's GIL, show this trade-off.
The 2024 State of React survey gathered 7,870 responses to identify trends in the React ecosystem, such as the fact that forwardREf and memo were pain points among common APIs that React 19 aims to address.
While convenient for developers, the increasing use of browser engines in desktop apps leads to excessive resource consumption and performance issues.
Smolmodels is a Python library that allows users to create machine learning models using natural language descriptions, as the library handles data generation, feature engineering, training, and model saving/loading.
ESLint is a linter that enforces coding style and best practices, while TypeScript is a type checker for type safety.
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It's never been easier to experience the power of AI-assisted coding. Simply open Copilot in your IDE [4], choose your AI model, and you're good to go.
Elon Musk's offer to buy OpenAI for $97.4 billion, backed by a consortium of investors, could force OpenAI's board of directors to reassess how it is valuing the nonprofit. OpenAI is currently negotiating how much equity Microsoft should get in its for-profit company - satisfying all those parties was already complicated. The company must get approval for its conversion from attorneys general in California and Delaware - these officials will oversee the valuation of the nonprofit's assets during a sale to ensure it is properly compensated. Sam Altman has stated that he thinks Musk's offer is just a tactic to slow OpenAI down.
Google appears to be ditching the camera bump this year for the Pixel 9A - it's still there, but just barely. A new set of renders has leaked showing the phone in black, white, pink, and purple. The back cameras will include a 48-megapixel main shooter and a 13-megapixel ultrawide. The phone will have a 13-megapixel selfie camera in the front and a 5,100mAh battery. The base model of the phone, which will have 128GB storage, will cost $499. The Pixel 9A will be released on March 26.
There are now three people with Neuralink implants. Combined, these patients have had their Links implanted for over 670 days and used Telepathy for over 4,900 hours. All three individuals are unable to move their arms and legs. This post looks at how their Links have improved their lives. It tells each of their stories and shows examples of what their Links have enabled them to do.
Scientists in Argentina have created genetically edited horses with increased explosive speed. The five foals have been tweaked to one day be able to outrun the champion mare they received genes from. Gene editing is banned by the International Federation for Equestrian Sports and the British Horseracing Authority, but the biotech firm that created the foals argues that the new horses' genes could have theoretically occurred naturally through selective breeding or genetic mutations.
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If QA is a bottleneck on your software engineering team and you're releasing slowly because of it, you need to check out QA Wolf [10].
A range of common patterns is emerging as software products that use generative AI are moving from proof-of-concept to production systems. This article looks at some of the regular patterns used to deal with issues in moving to production. It covers direct prompting, embeddings, evals, hybrid receivers, query rewriting, and retrieval augmented generation. The article provides an example and instructions for when to use the pattern for each pattern described.
This article provides a high-level overview of Meta's hyperscale infrastructure. Meta's engineering culture values moving fast, technology openness, research in production, and shared infrastructure. It has adopted continuous deployment universally and enabled developers to write serverless functions rather than traditional service code. Meta uses hardware-software co-design at the data center scale and autonomously optimizes resource allocations to reduce hardware costs. Its strategy involves co-designing the entire stack.
This year's Exceptional Startups List contains 240 startups, up from 140 last year. 43% of the startups came from the Bay Area. Over 30 of the top venture firms submitted names this year, including some of the best funds on Earth. AI was the main driver of the size of the list. A link to the list is available in the article.
TV screens have overtaken mobile as the primary device for viewing YouTube in the US. Many of the world's biggest events, including elections, the Olympics, Coachella, the Super Bowl, and the Cricket World Cup, play out on the platform. YouTube plans to roll out more tools to support podcasters, improve monetization for creators, and make it easier to discover podcasts. It is making auto-dubbing available for all creators in the YouTube Partner Program later this month. The future will expand to more languages throughout the year.
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Watch QA Wolf AI [18] generate a Playwright test for Figma's prototyper in just 6 minutes compared to 29 minutes without AI.
Hopes that return-to-office mandates will bail out the office sector seem premature.
China's Long March 8A is designed to deploy large numbers of satellites for China's massive space-based internet networks.
DeepMind has published research that discusses how to distribute the training of models with billions of parameters among clusters of computers (that could theoretically be widely separated) while producing the same level of quality as before.
WebAssembly is a true write-once-run-anywhere experience, and you can compile several languages into WebAssembly already.
This post walks through how to build a setup that can run medium-sized models completely under your control.
Enterprise is not one-size-fits-all - do the things that click, whether they're easy or not, and ignore the noise.
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Round closes TODAY: In what some are calling the ‘biggest interruption to IP since Disney', Elf Labs has stockpiled rights to history's highest grossing characters – Cinderella, Snow White, The Little Mermaid, Aladdin, Rapunzel, Sleeping Beauty, and more – and is bringing them to life using patented AI-driven VR and AR technology.
Sam Altman has dismissed Elon Musk's $97.4 billion bid for OpenAI, stating, “We are not for sale.” This latest move escalates the ongoing power struggle between the two AI leaders.
Apple is collaborating with Alibaba to bring AI-powered features to iPhones in China, addressing market challenges and competing with Huawei's AI-integrated smartphones.
Snap introduced an AI text-to-image model that operates entirely on mobile devices, enabling high-resolution image generation in 1.4 seconds. This model aims to power Snapchat features like AI Snaps and Bitmoji Backgrounds while reducing operating costs.
Hugging Face is replicating R1 in the open. It has succeeded in running distillation on R1 itself to generate 800k reasoning traces.
Determining whether a system is “agentic” is challenging. This position paper from DeepMind proposes the idea that measuring Agency requires a set reference frame, and cannot be discussed as a global property of a system.
Diffusion model noise sampling works well for single images, but struggles when scaled up to videos that require temporal consistency. As the noise itself is independent across pixels and frames, you see a number of warping artifacts. This work aims to introduce integral noise which accounts for many of these problems.
Tiny but extremely powerful open source model on an app, running locally, by Allen AI. It is stronger than the original ChatGPT model from a few years ago.
This paper presents dynamic instance-level data reweighting techniques for LLM pretraining. By adjusting sample importance based on loss values during training, the proposed methods improve efficiency and effectiveness.
OVT-B is a large-scale benchmark for open-vocabulary multi-object tracking (OVT). It includes over 1,000 object categories, nearly 2,000 videos, and more than 600,000 bounding box annotations.
A group of 300+ AI builders including Chris Lattner (Creator of Swift/LLVM) and Amjad Masad (Founder of Replit) met in San Francisco at the Democratize Intelligence Summit (DEMI). DEMI is forming a counter-pressure to closed AI centralization by gathering ambitious builders creating alternative hardware chips, software frameworks, and economic models that make AI easier to build and use.
Google I/O will take place on May 20-21 at Shoreline Amphitheatre and online. Expect keynotes, product reveals, AI innovations, and hands-on sessions.
AI-generated voices can now precisely mimic human speech, raising concerns about distinguishing them from human conversations. A proposed solution is for AI voices to utilize a ring modulator, giving them a historically recognizable robotic sound. Implementing this across voice synthesis technologies would help users identify when they are interacting with AI.
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Over half of the respondents from CallRail's 2025 business trends survey are actively exploring ways to automate and scale marketing with AI - from generating ad copy to scheduling appointments. See the
Luma AI has released an all-new model that takes image-to-video generation to the next level, delivering unprecedented natural motion, realistic physics, and coherence.
Seattle-based Ai2 has released Tulu 3 405B, an open-source AI model that outperforms both DeepSeek V3 and OpenAI's GPT-4o in certain benchmarks.
Jared Zhao founded Athenic AI in 2022 to simplify enterprise data analytics by integrating AI that adapts to each company's specific knowledge.
A U.S. House hearing on crypto regulation revealed partisan divides over stablecoins. Republicans advocated for state-approved issuers and Democrats pushed for federal regulators. Despite these challenges, industry leaders and lawmakers see high potential for stablecoin legislation, although this may not occur until late 2025.
Meme and AI token indices have plunged nearly 60% from their December 2024 peaks, while U.S. (GMUS) and DeFi (GMDEFI) indices have shown a bit more resilience, down 29% and 38% as pro-crypto sentiment benefits these sectors.
Uniswap has launched Unichain, providing users with lower fees, faster transactions, and interoperability. The chain has been designed for decentralization and efficiency, featuring 1-second block times and 95% lower gas costs than the Ethereum L1.
Lido V3 has introduced stVaults, a modular staking solution that allows institutional and advanced stakers to customize validation setups, optimize rewards, and access stETH liquidity while ensuring compliance and risk management. Lido V3 will have a three-stage rollout including early adoption of re-staked vaults, a testnet phase for stVault integration and testing, and a full Mainnet launch enabling institutional staking, leveraged staking, and shared security configurations.
There are four main categories of privacy-preserving technologies that the AI x Crypto sector utilizes. Zero-knowledge proofs allow for verification without data exposure and are being used by Grass.io for secure data collection. zkTLS allows for secure data transmission and private storage solutions. Trusted Execution Environments (TEEs) like Phala Network and Fully Homomorphic Encryption from Mind Network allow agents to own their private keys securely and autonomously.
This article explores the reality that marketing agencies, especially in the crypto space, often fail to live up to expectations, highlighting issues like lack of brand understanding and inadequate creative efforts. It argues that agencies should only be used for specific tasks, and projects are better off hiring in-house marketing professionals who are immersed in the industry for long-term success.