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🔐 Cryptography in Ethereum

Cryptography in Ethereum ensures security, ownership, and data authenticity on the blockchain.
It involves private keys for control, public keys for verification, and digital signatures.
Ethereum does not use encryption for secrecy but relies on cryptography for verification.
Private keys are crucial random numbers for fund control in Ethereum.
Generating secure private and public keys involves complex mathematical processes for protection.

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Medium

335

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How to Prepare for FAANG Interviews in 2025(With Top Free and Paid Resources)

Preparing for FAANG (Facebook, Amazon, Apple, Netflix, Google) interviews can be daunting but with the right strategy and resources, success is achievable.
This article provides a roadmap for FAANG interview preparation, focusing on key areas, timelines, and top free and paid resources for candidates targeting various experience levels.
Candidates are advised to master Data Structures and Algorithms (DSA) and utilize resources like ByteByteGo, Design Guru, Exponent, Educative, Codemia.io, and Udemy for System Design preparation.
The article emphasizes the importance of applying only when ready to avoid rejections, and recommends using spaced repetition and AI tools like ChatGPT for interview readiness.

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Byte Byte Go

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EP171: The Generative AI Tech Stack

CAST Imaging automates mapping application dependencies for architects, improving change impact assessment efficiency.
GenAI Tech Stack components include Cloud Hosting, Foundational Models, Frameworks, and more for content creation.
Database index types like Primary, Clustered, and Secondary play vital roles in data retrieval.
Learn the roadmap for building AI Agents, understanding foundational models, API design, and architecture.
Discover MCP servers bridging AI models with external tools like GitHub, Slack, Google Maps.

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Medium

182

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Raycast, Warp, Tmux?! My terminal stack after 30 dev experiments

The author shares their experience with trying various terminal tools and finding only three that stood the test of time: Raycast, Warp, and Tmux.
After experimenting with over 30 terminal tools promising speed and efficiency, the author found that most slowed them down or caused issues, but the three mentioned tools improved their workflow.
The author emphasizes that the tools mentioned are not a definitive 'best of' list but are tools that personally worked well for them and enhanced their terminal experience.
The article aims to provide insight into how these tools can benefit those who spend a lot of time in the terminal and appreciate keyboard shortcuts.

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The Robot Report

Apera AI updates Apera Forge design and AI training studio

Apera AI announces updates to Apera Forge, a web-based design and AI training studio for robotic projects, introducing features like advanced cell design and de-racking simulation and training.
The latest release of Apera Forge focuses on supporting advanced robotic cell design, end-of-arm-tooling-mounted cameras, and full simulation and training for de-racking applications, aiming to enhance reliability and productivity in manufacturing.
Apera Forge is a browser-based platform that enables manufacturers to validate vision-guided robotic applications without upfront hardware investments, reducing simulation time from weeks to hours.
The new features in Apera Forge include advanced cell design capabilities, EOAT-mounted vision for de-racking applications, and full simulation and AI training to improve part recognition and picking, empowering integrators and manufacturers to rapidly deploy vision-guided robotic automation.

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Medium

303

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TEE AND TEN

TEE (Trusted Execution Environments) can be compared to a private locker in a gym where only the owner with the right key has access to its contents, ensuring privacy even from the owner and the operating system.
The Ten Protocol utilizes TEE to maintain privacy on the blockchain, preventing even node operators and validators from accessing sensitive data.
By implementing TEE, Ten Protocol offers genuine on-chain privacy without the need to trust anyone, acting as a digital bodyguard for users.
Ten Protocol is enhancing dApps with robust privacy measures by leveraging TEE, providing next-level privacy solutions for users.

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18 Likes

Medium

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Engineering Got Faster. Product Didn’t.

Engineering speed has increased, but product development remains slow due to outdated workflows and processes.
Product teams are often the bottleneck as organizations still rely on manual specifications and fragmented tools for idea implementation.
Zetra.ai aims to address this issue by transforming raw product ideas into structured system specifications and generating development-ready tasks, syncing them with various workflow tools.
Zetra.ai replaces outdated documentation processes with a dynamic, logic-aware system to streamline product development and keep pace with engineering advancements.

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2 Likes

Medium

312

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AI + Blockchain: A New Frontier in Decentralized Intelligence

Artificial Intelligence (AI) and Blockchain technologies are converging to create a new era of decentralized intelligence that is secure, transparent, and autonomous.
Blockchain secures AI by logging AI model inputs and decisions on-chain, ensuring integrity, while AI enhances blockchain performance by optimizing smart contract logic and automating governance.
Real-world use cases include AI-powered agents for autonomous trading, smart contract auditing, fraud detection in DeFi, and decentralized data marketplaces for privacy-preserving data training.
The integration of AI and Blockchain raises legal and ethical complexities around liability, transparency of AI decision-making, and privacy in decentralized data markets, making regulation more challenging.

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18 Likes

Medium

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The Philosophical Perspective of Technology in PETs

PETs have gained prominence in response to a lack of trust in existing computing infrastructure.
New architecture focuses on privacy and trustlessness, not just encryption layers.
Projects like MPC and SHE offer secure combinations for privacy-first infrastructure.
PETs aim to remove the need for trust and rebuild a privacy-centric digital future.

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Knowridge

234

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Scientists shake 10-story steel building to test earthquake safety—and it passed

In a groundbreaking experiment, engineers tested a 10-story steel building on an earthquake simulator and it passed the tests.
The goal was to determine if buildings made with cold-formed steel (CFS) can be taller than the current code limits.
The building, filled with sensors, withstood 18 simulated earthquakes, including intense ones, and remained functional with minimal damage.
The study aims to improve building codes, support the use of CFS in taller buildings, and pave the way for safer, faster construction options in earthquake-prone areas.

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14 Likes

Medium

332

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Everything new in Kotlin 2.2.0

Kotlin 2.2.0 introduces significant language evolution with faster compilation, cleaner cross-platform libraries, and reduced boilerplate for Android apps, server-side code, and KMP libraries.
New features in Kotlin 2.2.0 include declaring implicit dependencies in function signatures, combining 'if' and 'when' statements, omitting enum-type qualifiers in obvious scopes, and inline higher-order loops breaking or continuing the outer loop directly.
Other enhancements in Kotlin 2.2.0 involve string templates with literal dollar signs, tuning diagnostics with the -XWarning-level flag, and simplifying Java-interop by default enabling -jvm-default.
The release aims to boost developer productivity and creativity by offering a wide range of improvements, from context parameters to new APIs, catering to both experienced Kotlin developers and beginners exploring JVM development.

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Insider

816

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Here are investors' burning AI questions with tech earnings around the corner

The upcoming tech earnings season will be crucial for Big Tech companies to prove the value of their significant AI investments.
Investors have key questions regarding AI adoption, AI capital expenditures, and the potential impact of AI on companies' profitability.
There is a focus on whether AI technology is delivering on its promise of increasing productivity and profit margins amidst significant investment in AI infrastructure.
Investors are eager to see if savings from AI can offset tariff headwinds and if AI use cases can provide a shield against potential challenges.

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Medium

207

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Understanding Local Storage vs Session Storage in JavaScript: A Developer’s Guide

Local Storage and Session Storage are key-value storage mechanisms provided by the Web Storage API, but they have distinct differences in terms of data persistence, scope, and use cases.
Local Storage persists data even after the browser is closed, while Session Storage stores data for the duration of a single browser tab.
Local Storage is best for non-sensitive, long-term data like UI preferences, while Session Storage is ideal for temporary data like form inputs.
Both storages follow the key-value structure and are accessible through JavaScript, but they differ in how they handle data and the duration of storage.

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Medium

138

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React Hooks in Simple Terms — With Real-Life Analogies

React Hooks are functions that allow you to use React features inside functional components, simplifying code and improving syntax.
The most common React Hooks include useState, useEffect, useRef, useContext, useMemo, useCallback, and custom hooks.
useState is like a sugar jar, useEffect is a house helper, useRef is a sticky note, useContext is a family pantry, useMemo is a smart calculator, useCallback is a recipe book, and custom hooks are your own tools for reusable logic.
React Hooks provide a cleaner and more efficient way to manage state, side effects, references, and context in React components.

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8 Likes

Medium

379

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Python lru_cache explained

Using lru_cache can help in minimizing redundant API calls by storing responses of previously requested data.
It improves app performance by returning cached data if the same request is made again within a short period.
To prevent serving outdated information, the cache should be cleared regularly, and fresh data fetched from the API.
Efficiency of caching depends on usage patterns; it is beneficial for consistent requests for the same data but may not be as effective for highly variable requests.

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