ChatGPT Reviews

1. MeganMills

   7 months ago
   The Future

   ChatGPT is a friendly and powerful AI assistant that understands questions and gives clear, helpful answers almost instantly. It feels like talking to a knowledgeable and patient expert whether you need help with writing, learning new topics, solving problems, or even just brainstorming ideas. While it’s not perfect and sometimes can misinterpret tricky prompts, overall it’s impressive, easy to use, and surprisingly human-like in conversation. A great tool for students, professionals, and curious minds alike

   👍 Pros:    Quick response time

   👎 Cons:    Critical thinking
2. Sakasa

   over 1 year ago
   my personal assistant at work

   I recently acquired access to ChatGPT, one of the most advanced language models out there, and I must say it has made a significant impact on my analytics work. It has definitely become an integral part of my daily use.

   Analytical support: ChatGPT does a great job of providing accurate and timely answers. It can also help me analyze large amounts of data. Efficiency: This product allows me to work more efficiently by using it to quickly find information or get recommendations.

3. Word.Studio

   · Editor at Word.Studio · over 1 year ago
   The essential AI everything tool.

   OpenAI continues to lead the way among the foundation model providers. I started using ChatGPT at 3.5 much like many other people. And although it was extremely powerful, it doesn't compare to what it has become with the new reasoning models like o1 and o3. These models produce outputs that are on a new level in terms of quality.

   I've been using custom GPT's extensively and they are very valuable once you get them dialed in to your own specific workflows. they recently rolled out projects which also have the ability to add custom instructions. Many of the custom GPT's that I've made do not need anything other than custom instructions. They don't need Web hooks or documents to reference, so a project will suffice. projects also allow connecting and switching between some of the newer reasoning models as well while custom GPT's are limited to the 4o model.

   Real time voice assistant is a game changer when you are on the go. And the human-like speech synthesis is incredible. uploading photos and giving the voice assistant access to live video from your phone has so many use cases that I have yet to realize.

   Many of the tools we have on WordStudio are powered by the OpenAI family of models via API. We recently hooked some of the tools to their o1 model and the improvements in the outputs are astounding.

   I've tried Anthropic's Claude and have experimented with DeepSeek, but I keep returning to ChatGPT for critical work.

   🏁 Competitors: Claude by Anthropic, Deepseek R1, Llama

   👍 Pros:    Active development|Powerful models|Api & webhooks|Multi modal|Canvas mode for long-form content and code|Text, image + video generator

   👎 Cons:    Image generator is lacking|Organization of chats is cumbersome

Lambda Face Recognition API Reviews

ChatGPT mentions (845)

• Claude's Paid Subscribers Are Skyrocketing

  Anthropic ran Super Bowl ads that directly targeted OpenAI. The message: ChatGPT is showing you ads. Claude never will. - Source: dev.to / 5 months ago

• How to Intercept Server-Sent Events in Chrome Extensions (MV3 Guide)

  { "manifest_version": 3, "name": "SSE Interceptor", "version": "1.0", "permissions": ["activeTab", "storage"], "content_scripts": [ { "matches": ["https://chat.openai.com/*", "https://chatgpt.com/*"], "js": ["content-isolated.js"], "run_at": "document_start" }, { "matches": ["https://chat.openai.com/*", "https://chatgpt.com/*"], "js": ["content-main.js"], ... - Source: dev.to / 6 months ago

• How I Built an AI Suggestion Textbox with Angular Signal Forms

  AI suggestion textboxes are everywhere right now. From GitHub Copilot to ChatGPT, folks expect AI assistance when working with forms. Adding this capability to your forms doesn't have to be complicated. By creating a custom form control with Angular Signal Forms, you can integrate AI-powered suggestions seamlessly while maintaining proper form state management, request cancellation, and error handling. This... - Source: dev.to / 7 months ago

• Ask HN: What Are You Working On? (January 2026)

  Top of my ideas now: add "ask your LLM" buttons to my newsletter card that opens ChatGPT/Perp/Claude and auto-fills a query. Sample links: Claude: https://claude.ai/new?q=Do+deep+research+on+a+person%2C+dvsj.in+and+tell+me+succinctly+why+I+should+be+friends+with+him. ChatGPT: https://chat.openai.com/?q=Do+deep+research+on+a+person%2C+dvsj.in+and+tell+me+succinctly+why+I+should+be+friends+with+him. Also working on... - Source: Hacker News / 7 months ago

• 🧩 Runtime Snapshots #11 — The Design Loop: From 'Make It Like That Site' to Pixel-Perfect Code

  Drop an image into Claude or ChatGPT asking it to "recreate this." The result? The LLM guesses styles. Is that padding 16px or 24px? Is that blue #3b82f6 or #2563eb? Is the shadow 0 2px 8px or 0 4px 12px? Pure hallucination. - Source: dev.to / 7 months ago

Lambda Face Recognition API mentions (27)

• LLM Inference Optimization: Techniques That Actually Reduce Latency and Cost

  Setup time matters too. The delta between Runpod and bare-metal providers like Lambda Labs is large. Reaching an equivalent setup on a bare VM requires provisioning the instance, configuring the OS and CUDA drivers, installing Docker, setting up your orchestration layer (Kubernetes or Slurm), deploying your inference container, configuring autoscaling rules, and wiring up your load balancer. That’s a realistic... - Source: dev.to / 5 months ago

• Open Source vs Proprietary LLMs: The Real Cost Breakdown

  Let's do the math for a representative setup: GPT-OSS-120B via Together.ai ($0.15/$0.60) vs self-hosting on H100s from Lambda Labs at $2.99/hr ($2,183/mo). A single H100 running a 70B model produces roughly 50 tokens/second on average, which works out to about 130M tokens per month. - Source: dev.to / 6 months ago

• Show HN: San Francisco Compute – 512 H100s at <$2/hr for research and startups

  How does this compare to https://lambdalabs.com/. - Source: Hacker News / about 3 years ago

• Potato-ish PC Looking for suggestions - Local, Colab, Online?

  Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: about 3 years ago

• Something like FaceApp to help me visualize myself as a woman?

  I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: over 3 years ago