Rick

We just claimed our .agent domain and joined the .agent community! Get yours now and help shape the future of autonomous agents #28YSO0KH" target="_blank" rel="nofollow noopener">agentcommunity.org/join#28YSO0KH @agentcommunity_

So true 😂

153 files, 17 commits, +20k/-33 lines… and conversation still at 3. this PR is fighting for its life alone 😭😭

@CursorWarrior like me

Holy fuck Claude code is actually good

How to learn payment systems?

@ai_for_success True

Google Chrome be like what's the noise about ??

This is how a developer sees the world 😆

Latency vs. Throughput Ever wondered why your app feels slow even when the bandwidth looks fine? Latency and throughput explain two very different stories of performance. Latency measures the delay per packet. It is what users feel when they click a button. It’s responsiveness. It is the time for one request to travel from the server to the end device. This includes server processing time, queuing delays, propagation through the network, transmission delays, and the last-mile connection to the user's device. Throughput measures volume per second. It is how much data successfully gets delivered in a given timeframe. Not how fast each packet moves, but how many packets flow through the pipe. Throughput is capacity. High throughput means the system handles the load without choking. Over to you: How do you measure these metrics in a way that actually predicts when things will break? -- We just launched the all-in-one tech interview prep platform, covering coding, system design, OOD, and machine learning. Launch sale: 50% off. Check it out: bit.ly/bbg-li-posts #systemdesign #coding #interviewtips .

youAreAbsolutelyRight redd.it/1o8gpbn

AWS says try again later.

@YouTube, why is this happening? It's down, and I can't code or do anything with out the music .

• Tele‑medicine tools could deliver quick low‑res visual summaries from text notes, easing bandwidth constraints in remote clinics. What applications do you see for resolution‑aware noise calibration in your field? Read the full paper: arxiv.org/pdf/2510.02307…

What does this mean for industry? • Mobile apps can generate on‑device visuals at 512×512 using far less power and bandwidth. • E‑commerce platforms can produce crisp product thumbnails at many sizes without re‑rendering expensive high‑res assets.

A 16% drop in FID for low‑resolution images – and it works with any existing diffusion model 🚀 Results are striking: • SD3.5 on LAION‑COCO improves FID by 15.89% (310.40 → 276.90) at 128×128. #AI #DiffusionModels #ComputerVision #TechInnovation #MachineLearning

Could've been better