I am a data guy, not a developer. I am, however, an AI guy. With the help of a few blog guides, Lovable
lovable.dev
Lovable.dev, and VSCode copilot, I have managed to build my first Next.js analytics dashboard app and deploy to Vercel. If I can do it, so can you.
Presumably Google Drive is just a wrapper for Google Cloud Storage, which, as an enterprise solution, is ironically easier to use than Drive. The mind boggles.
Reminds me of the Amiga 1200 we had in the 90s. 2MB of RAM, a 32 bit CPU made by Motorola running at double digit MHz, playing games that were 15+ floppy disks. Those were the days.
For anyone thinking of switching to an OLED monitor and worried about text fringing, don't. I recently upgraded to a 27" 1440p QD-OLED and read all the Reddit horror stories. In my experience thus far, fringing is a non-issue. Although I can't speak to WOLED.
Ironically, we did include a pair of Nvidia GPUs in the build, so at least that's a bit of money for Jensen to offset the $500+ billion drop in market cap this week.
Having just finished a build of a new ML workstation for a Data Scientist in my team, we'll be jumping straight on #DeepSeek R1. Thoughts incoming over the next few days.
Having watched a couple of the RTX 5090 reviews, my hot take is that running DLSS 4 performance with frame generation looks like a stuttering, artifact ridden hot mess. Like, what's the point in being able to run Cyberpunk 4k @ 300+ FPS when it looks garbage?
Bring on SteamOS for desktop, if Valve ever finishes it. Linux can be a great daily driver, until inevitably you have to resort to using the command line.
For me, it's a pang of guilt sometimes that I should be doing something more productive. Yet that never happens when watching hours of Netflix. Go figure.
If you are using or thinking about using LLM thinking models for code projects, I have found much better results from Gemini 2.0 Flash Thinking than I have from OpenAI o1-mini. Give it a try in Vertex Studio, it's pretty ninja.
I do complain about working LLMs but honestly, it's been a game changer over the last couple of years. A great recent example is #NotebookLM from Google. Being able to digest dozens of lengthy articles and YouTube vids as a podcast is pretty wild.
I feel like 50% of my workday is now spent manipulating LLMs into doing what they are told, or debugging AI python applications. I thought these things were supposed to make us more productive.
Everyone is very animated about the Nvidia keynote at #CES2025. Personally, the debate around DLSS 4 and Frame Generation is less interesting than the fact that the 5090 is a return to a duel slot card, rather than being the size of an overfed dachshund.