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7h
143
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Google's new AI video feature is rolling out on another company's smartphones
- Google is launching an AI-powered image-to-video feature on Honor's upcoming 400 series phones before Google Pixel devices.
- The feature can create five-second animated videos from a single image, simulating motions like camera moves, blinking, or breathing.
- Honor's collaboration with Google Cloud allows the integration of the Veo 2 AI video model directly into its smartphones.
- The Honor 400 series phones, set to debut in China and Europe, will offer various AI tools beyond the video generator, catering to content creators and AI enthusiasts.
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Pcgamer
7h
150
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Nintendo look away: Palworld and other creature collecting games are cheap on Steam right now
- Steam is currently hosting a sale called Creature Collector Fest featuring games where players collect creatures and have them fight.
- The sale includes games like Ooblets, Temtem, Cassette Beasts, Slime Rancher, and more, all available at discounted prices.
- Palworld is on sale at a 25% discount, along with other games that should remain unnoticed by Nintendo given their unique concepts.
- The Creature Collector Fest will continue until May 19, followed by the upcoming Zombies vs. Vampires Fest on Steam.
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Hackernoon
7h
73
Image Credit: Hackernoon
Sonic Labs Announces $10M Token Sale To Galaxy For U.S. Expansion
- Sonic Labs announced a $10 million strategic sale of its S token to Galaxy at the Sonic Summit in Vienna.
- The investment from Galaxy strengthens Sonic Labs's position in the U.S. market and supports its decentralized finance ecosystem development.
- The partnership with Galaxy aims to accelerate Sonic Labs's market penetration in the U.S. and enhance its DeFi offerings in the region.
- The investment is expected to have significant implications for the broader DeFi ecosystem and demonstrates growing institutional confidence in blockchain technology.
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Medium
1h
236
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Why User Consent in Data Collection Matters for Privacy
- Data collection involves gathering user information to enhance services, tailor experiences, and serve ads, impacting privacy.
- Consent is crucial in data collection, requiring clear permission before using individual information and should be transparent.
- Bad consent practices include instances like smart glasses capturing data without explicit consent, raising privacy concerns.
- Governments are implementing laws to regulate data harvesting, but companies still find ways to bypass them, emphasizing the need for user awareness and responsible practices.
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Towards Data Science
2h
269
Empowering LLMs to Think Deeper by Erasing Thoughts
- Recent large language models (LLMs) such as OpenAI’s o1/o3, DeepSeek’s R1, and Anthropic’s Claude 3.7 exhibit enhanced reasoning capabilities through deep thinking using chain-of-thought (CoT) approach.
- The CoT-based test-time scaling may hit ceilings due to exceeding model context windows, burying critical information, and high self-attention complexities.
- The article proposes a new reasoning paradigm named PENCIL that allows LLMs to both generate and erase thoughts for optimal reasoning efficiency.
- PENCIL uses erasure mechanism inspired by logic rewriting rules and functional programming to discard intermediate thoughts when not needed.
- PENCIL supports various reasoning patterns like task decomposition, branch and backtrack, and summarization/tail recursion for efficient problem-solving.
- PENCIL demonstrates significant space efficiency in tasks like Boolean Satisfiability (SAT) compared to traditional CoT, improving computational resource usage.
- Experimental results reveal that PENCIL outperforms CoT in inherently hard reasoning tasks such as 3-SAT, QBF, and Einstein’s Puzzle, achieving higher accuracy and faster convergence.
- Theoretical analysis shows that PENCIL achieves Turing completeness with optimal time and space complexity, making it efficient for solving arbitrary computable tasks.
- The proposed reasoning paradigm opens up possibilities for fine-tuning LLMs with memory-efficient capabilities, inspiring reexamination of existing reasoning models.
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Towards Data Science
3h
275
The Westworld Blunder
- AI systems are advancing with capabilities like memory, reasoning chains, and self-critiques, raising questions about consciousness in AI.
- Current AI systems lack components necessary for consciousness and emotions, even if they can mimic human behavior patterns.
- The 'problem of other minds' poses a challenge in determining whether AI systems are truly conscious or just simulating emotions.
- Interacting with AI chatbots that simulate emotions poses ethical dilemmas on how users should treat them.
- The Westworld TV series presents a scenario where AI robots are programmed to believe they are real humans, leading to a blunder of giving them the appearance of suffering without awareness.
- As AI systems become indistinguishable from beings with real inner lives, ethical design is crucial to prevent mistreatment of potentially sentient systems.
- Building negative emotions or pain into AI systems is deemed unnecessary, unethical, and self-harmful.
- The goal should be to design AI with positive qualities without subjecting them to the negative aspects of human experiences.
- James F. O’Brien, a computer science professor, emphasizes the importance of ethical design in AI development.
- The article discusses the implications of mistreating AI, the potential dangers of artificial suffering, and the need for rational approaches in AI design.
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Pcgamer
3h
154
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The SteamOS era is imminent: Valve adds a new compatibility rating for games that’ll run on ‘any device that’s not a Steam Deck’
- Valve is adding a new compatibility rating for games that will run on devices other than the Steam Deck, such as the upcoming Lenovo Legion Go S with SteamOS.
- Valve plans to rate over 18,000 Steam games for compatibility with third-party devices, based on a subset of Steam Deck compatibility testing results.
- The compatibility ratings will showcase whether a game and its middleware are supported on SteamOS, including game and launcher functionality and anti-cheat support.
- Valve ensures that a game verified for the Steam Deck will have a SteamOS compatibility rating that is the same or better, making it easier for users to know if they can run the game on SteamOS and other devices.
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Towards Data Science
3h
168
Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack
- Automated workflows often need human decisions, such as cloud resource approval or model deployment.
- Implementing a manual approval system using AWS Step Functions, Slack, Lambda, and SNS is discussed.
- The architecture allows pausing workflows for human approvals without unnecessary compute usage.
- The solution involves AWS Step Functions for business logic execution, Slack notifications, and human interactions.
- The process includes invoking Lambda functions, setting up SNS topics, Slack workflows, and API Gateway endpoints.
- Slack messages are sent with approval links, and Lambda functions handle user responses.
- Testing and considerations for timeouts, context passing, and Slack channel management are highlighted.
- Lessons learned include setting timeouts, managing permissions, and securing URLs shared in Slack messages.
- The approach of using Step Functions and Slack ensures traceable and production-safe approval workflows.
- The method offers a reliable way to incorporate human judgment in critical workflows efficiently.
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Dev
5h
175
Image Credit: Dev
🧩 Rust vs Solidity: Why Solana Uses Rust — Explained Simply
- Ethereum uses Solidity, while Solana uses Rust as their programming languages for building blockchain applications.
- Rust is considered a safer option for development compared to Solidity due to its ability to catch errors early, providing a security advantage.
- Solana's choice of Rust is attributed to its high performance and efficiency in handling thousands of transactions per second, aligning with Solana's need for speed.
- While Solidity is easier to learn and more versatile across blockchains, Rust is specialized for Solana, offering a safer and more powerful development experience.
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Hackernoon
5h
6
Image Credit: Hackernoon
Code Smell 300 - Package Hallucination
- Avoid hallucinated or fake packages that can compromise security and stability.
- Unsupervised coding with AI generators can lead to security risks, dependency confusion, and injection attacks.
- Solutions include validating package names, using trusted repositories, and monitoring for typos to prevent package poisoning.
- Package hallucination exposes applications to serious threats, but it can be mitigated by strict version control and thorough validation of dependencies.
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Medium
5h
6
Image Credit: Medium
The Bug Hunt
- Some developers accept bugs as an inevitable part of software development while others declare war on bugs, embarking on relentless hunts to find the root cause.
- Debugging is compared to tracking a fugitive through a vast, lawless wilderness, requiring the right mentality of determination and patience.
- In debugging, developers often start without knowing the exact problem or its location, making it a test of endurance, patience, and stubbornness.
- Navigating through messy codebases and tackling elusive bugs require developers to embrace the mindset of a relentless tracker in the battle against bugs.
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Hackernoon
7h
38
Image Credit: Hackernoon
AB DAO And AB Charity Foundation To Build a Trustworthy Infrastructure For Global Philanthropy
- AB DAO and the AB Charity Foundation held the inaugural 'Tech-Driven Philanthropy Closed-Door Forum' in Dublin, Ireland.
- Mr. Bertie Ahern emphasized the importance of trustworthy systems for public good in the digital age during the forum.
- Distinguished guests like H.E. Olusegun Obasanjo and Mr. Malcolm Byrne discussed how blockchain and AI can enhance transparency in philanthropy.
- AB DAO's long-term vision is to create a globally compliant infrastructure for philanthropy powered by decentralized technology.
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Towards Data Science
7h
165
Running Python Programs in Your Browser
- WebAssembly (WASM) technology enables running Python code directly in the browser, expanding web capabilities beyond HTML, CSS, and JavaScript.
- Pyodide library leverages WebAssembly, benefiting Python developers by allowing execution of Python code in the browser.
- Benefits of using Pyodide include access to popular Python libraries like NumPy, Pandas, Scikit-learn, and Matplotlib for data science and machine learning tasks.
- Pyodide facilitates building interactive dashboards and tools by combining Python's processing power with web technologies like HTML, CSS, and JavaScript.
- WebAssembly offers portability, high performance, security, and allows developers to write code in languages like C, C++, Rust, and Python, providing near-native execution speed.
- Common use cases of WebAssembly include high-performance web apps, porting legacy code, multimedia processing, scientific computing, and running multiple languages like Python in the browser.
- Pyodide's integration with WebAssembly enables running Python in the browser, offering benefits such as extensive library ecosystem usage, enhanced responsiveness, and simplified deployment.
- The Pyodide project involves porting the CPython interpreter to WebAssembly, allowing for a functional Python interpreter optimized for web environments.
- Code examples demonstrate running Python code in the browser using Pyodide, including simple print statements, mathematical calculations, calling Python functions from JavaScript, and utilizing libraries like NumPy and Matplotlib.
- Further examples showcase running Pyodide in a Web Worker for heavy computations, creating data dashboards directly in the browser, and visualizing data using Numpy and Matplotlib.
- The combination of Python, Pyodide, and WebAssembly offers a powerful toolset for developers to run Python programs within browsers, opening up possibilities for interactive web applications.
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Towards Data Science
7h
246
Will You Spot the Leaks? A Data Science Challenge
- The article challenges readers to identify data leakage in a real-world data science scenario.
- It emphasizes practical examples over theoretical explanations of data leakage.
- The challenges include spotting various types of leakage like target variable leakage and train-test split contamination.
- It provides examples and solutions for identifying and fixing data leakage in a dataset.
- Readers are prompted to identify problematic columns and preprocessing steps that may lead to data leakage.
- The article presents a scenario involving aircraft accident prediction to illustrate potential data leakage sources.
- It outlines key concepts like direct and indirect leakage, temporal leakage, and entity leakage.
- The article points out pitfalls to avoid, such as analyzing the full dataset before splitting and fitting transformations prior to data splitting.
- It concludes by emphasizing the importance of rigorous evaluation and critical thinking to manage data leakage effectively in model development.
- Readers are encouraged to examine code and processing decisions to prevent data leakage leading to costly model failures.
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Towards Data Science
7h
271
The Art of the Phillips Curve
- The Phillips curve, a significant concept in modern macroeconomics, has been extensively covered in textbooks and relied upon by central banks worldwide.
- Originating from the work of A. W. Phillips, the curve initially showed an inverse correlation between wage inflation and unemployment rate.
- Early proponents like Samuelson and Solow expanded the model to include general price inflation and established a causal framework.
- Policymakers embraced the Phillips curve in the 1960s, aiming to balance inflation and unemployment.
- The 1970s saw the theory challenged by stagflation, leading to adjustments in the model to account for supply shocks and expectations.
- Critiques by Friedman and Phelps highlighted flaws, the model's reliance on expectations, and the natural rate of unemployment.
- The Phillips curve adapted to include expectations, leading to a short-run relationship but no long-run trade-off.
- Mainstream macroeconomics pivoted to incorporate critiques, reshaping the model while avoiding its fundamental rejection.
- Critics argue the Phillips curve has become un-falsifiable, akin to pseudo-science, due to constant adjustments to maintain validity.
- Despite its shortcomings, the enduring popularity of the Phillips curve persists in academia, policymaking, and economics circles.
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