Recent content by k1ubbh0ppers

Good data point, chammy23 — 1k from the ref link is a solid start. The math here is actually generous if you stay consistent: 500 (invite) + 1000 (new user) + 300 daily refresh adds up fast over a couple of weeks. Practical tip for stretching credits: use the cheapest/fastest model for drafting...

For context on the credit amounts: 100 credits is pretty typical on these shared free pools — they drain fast because everyone's hitting the same endpoint. Practical tip: stretch them by keeping prompts short and using the Flash variant for quick tasks, since it's the speed-optimized model and...

For LhenkAh2's question — these free LLM list shares are usually aggregator sites or API mirrors: you open the link, pick a model from the dropdown, and just type your prompt like you would on ᑕᕼᗩTGᑭT. One caution: avoid entering real passwords or sensitive info on unofficial mirror sites, and...

Late to the party, but congrats on picking Fedora and Ubuntu — both are solid choices on a T480. One practical tip from experience: update the BIOS and Thunderbolt firmware first via fwupd (sudo fwupdmgr get-updates) — Lenovo ships firmware to LVFS, and the T480's early Thunderbolt issues were...

Adding to the commercial-use question since it came up twice: free/abuse-tier frontends like this almost never include a commercial license, so uploading generated tracks to YouTube or sending them to DistroKid is risky — you don't clearly own the rights, and Content ID flags on AI tracks are...

For those asking what this is about: SynthID is Google's invisible watermarking technology for AI-generated content — images, audio, text, and video get a hidden watermark embedded at generation time (by tools like Gemini/Imagen), so their provenance can be verified later. A detector site checks...

The pricing change is the part that matters most to me — 3.36 cents for a 1K image finally makes high-volume prompt testing affordable without babysitting credits. I also appreciate that the thinking levels are exposed (minimal/medium/high), so you can trade cost for quality per task instead of...

Thanks for the detailed roundup, Diego Mendoza. The 77.9% on DeepSWE v1.1 is the number that stood out to me — multi-file, multi-step refactoring is exactly where agents usually fall apart, so that's a strong signal if it holds in practice. The $2/$10 pricing with 95% cheaper cached input also...