Lillian Kim

Can Users Reuse Their Own Facebook or Instagram Photos on Another Platform?

When someone uploads a photo to Facebook or Instagram, they usually do not give up ownership of that photo. In most cases, users can reuse their own photos on other platforms, websites, portfolios, marketplaces, or apps. But for product builders, there is an important difference between a user having the right to reuse their photo and your platform having permission to access it programmatically. Meta does provide APIs that can let users connect their Facebook or Instagram accounts and authorize access to their media, but those APIs require user consent, approved permissions, and compliance with Meta’s platform rules. So the practical answer is: yes, users can generally bring their own Facebook or Instagram photos to another platform, but your app needs to do it through the proper OAuth and API flow.

The Price of a Message: Why SMS Spam Doesn't Scale Like Email

Email spam is everywhere, yet SMS spam feels more limited, more selective, and often less frequent. That difference is not an accident. Email was built to be open, cheap, and easy to send at massive scale. SMS was built around phone networks, billing systems, and stricter control over who gets to send what. Spammers still target text messages, but doing it at large scale is harder, riskier, and more expensive than flooding inboxes with junk mail.

What Are Telecom Value Added Services (VAS)?

Telecom is no longer limited to voice calls and plain text messages. Mobile users now expect far more from their network providers, from entertainment and alerts to payment support and business tools. This is where telecom value added services, often called VAS, come into the picture. They add extra features on top of basic communication services and create a richer customer experience while giving telecom companies more ways to serve different needs.

The Magic of the "Continue with Google" Button: How It Works and Why We Use It

Have you ever landed on a new website, ready to make a purchase or sign up for a newsletter, only to be stopped cold by a long registration form? We’ve all been there—staring at fields for First Name, Confirm Password, and Zip Code like they're a digital brick wall. This is where the Continue with Google button steps in like a VIP pass. Instead of creating yet another set of credentials to forget, you simply click a button, confirm your identity, and you're in. It is the ultimate shortcut in the modern web experience, turning a minute-long chore into a two-second tap.

WhatsApp Embedded Signup: The Fastest Way to Onboard Businesses to WhatsApp

Getting started with the WhatsApp Business API has traditionally been a fragmented and technical process, often requiring multiple logins, manual configurations, and context switching across different platforms—leading to user drop-offs and slow adoption. WhatsApp Embedded Signup simplifies this experience by allowing businesses to connect their WhatsApp accounts directly within your application through a seamless, guided flow powered by Meta, reducing onboarding time from days to just minutes.

How to Connect AI to Your CRM Using Structured JSON

AI becomes useful in CRM workflows when it stops producing vague prose and starts producing structured output your systems can act on. That is the practical bridge between AI and a CRM like Salesforce: AI reads unstructured input → returns structured JSON → your app validates it → your integration writes it into Salesforce. The same pattern works in reverse too: User asks a question → AI generates a structured query/request → your app fetches Salesforce data → AI explains the result. Salesforce’s REST API supports creating records through its sObject resources and retrieving data through query endpoints that use SOQL. Salesforce also documents composite record creation for batch-style inserts.

Can You Train an AI Stock Trader on Historical Market Data?

Training an AI stock trader on historical market data is possible, and people do it every day in research labs, hedge funds, and personal projects—but “possible” is not the same as “profitable” or “reliable.” Historical prices, volumes, order book snapshots, and related indicators can teach models to detect patterns and make predictions or trading decisions. The real question is whether those learned patterns will hold up when the market changes, costs are applied, and risk is measured in real money.

How AI Coding Solves Real Problems

Large language models are often treated like writing assistants, but one of their most useful abilities is coding. When you ask AI to write code that produces a result, you move beyond getting a one-time answer and start building a tool that can solve the same problem again and again. That is what makes AI coding so practical. Many everyday tasks are not just writing tasks. They are formatting tasks, data tasks, automation tasks, and workflow tasks. Instead of asking AI to only “help,” you can ask it to build the thing that does the work.

Why Box-Lifting Humanoids Are Hard

At first glance, this problem seems like it should already be solved. Vision models can detect boxes. Speech systems can understand simple commands. Robots can run, jump, dance, and even play the piano in carefully staged demos. So why is pick up that box still such a hard problem for humanoids in factories? The answer is that the hard part is not object detection. The hard part is integrating perception, language, manipulation, balance, safety, and error recovery into one system that works reliably in the real world. In robotics terms, the challenge is not a single model. It is the full stack.

How Should You Chunk Documents for AI?

Document chunking sounds simple until you try to build it for a real AI system. Split text too aggressively and the model loses context. Make chunks too large and retrieval gets noisy, slow, and expensive. Good chunking sits in the middle: small enough to keep results precise, large enough to preserve meaning. If you want better search, cleaner summaries, and stronger question answering, chunking deserves careful thought from the start.

Why are GPUs still king of AI?

GPUs keep winning in AI not because they’re “perfect,” but because they hit a rare combination: high throughput, strong software support, flexible programmability, and a supply chain that can actually deliver millions of chips into real systems. Custom accelerators and NPUs can outperform GPUs on specific workloads, yet they often struggle to match the broad usefulness and frictionless adoption that make GPUs the default choice for training and increasingly for inference.

How should keyword results be ranked?

Keyword search looks simple to users: type a query, get the best results. For the team building the search system, ranking is the hard part. Good ranking methods balance relevance, freshness, trust, and speed—while staying robust against spam and shifting user intent.

Is AI a Multi-Dimensional Creature?

Artificial intelligence often gets described with language borrowed from biology and myth: it “learns,” it “speaks,” it “creates.” That invites a bigger question: should AI be treated as a new kind of multi-dimensional creature, or is that just a poetic shortcut for complex software?

What Is MCP and How It Works

The Model Context Protocol (MCP) is a standard way for large language models (LLMs) to interact with external tools and real systems. An MCP server is the component that actually exposes those tools and executes real-world actions. Rather than speaking in abstract terms, this article shows exactly what is exchanged between an LLM application and an MCP server, and how the loop between them works in practice.

What Do LLM Weights Do?

Large language models (LLMs) are often described as “just weights.” That phrase sounds dismissive, but it’s accurate in a technical sense: the model’s learned behavior is stored in a huge collection of numbers. When you ask an LLM a question, those numbers guide how it turns your text into a response.

Why Learn to Work with AI This Year?

A new year is a practical moment to upgrade how you work. AI tools are no longer “nice to have” for a few technical teams—they’re becoming standard work companions for writing, analysis, planning, and operations. Learning how to work with AI now is less about chasing trends and more about gaining a reliable edge in output quality, speed, and clarity.

Why Are Yoga Dresses and Pants So Popular These Days?

In recent years, yoga dresses and pants have become a staple in many wardrobes, not just among those practicing yoga but also as everyday casual wear. Their comfort, style, and versatility contribute to their widespread popularity. This article explores the reasons behind the surge in popularity of yoga-inspired clothing.

How to Contact Depop Customer Service?

If you're a Depop user needing assistance, knowing how to contact their customer service team can save you time and hassle. This guide provides clear steps and details for reaching out effectively.