never knew about the em dash thing, I was just using an AI writing assistant to help fix my shitty grammar and formatting. I think in future ill stick with bad formatting
That would be next-level immersion! You could probably achieve this by rendering the LLM’s response using a handwritten font—maybe even train a model on your own handwriting to make it feel truly personal.
Exactly! There’s something about handwriting that makes it feel more personal—like scribbling notes in the margins of a spellbook. The shift from typing to pen input definitely changes the vibe of interacting with AI.
That’s awesome! Love seeing the reMarkable get more functionality through creative hacks. Just checked out your app—what was the biggest challenge you faced while developing for the reMarkable?
This is a brilliant use case—handwriting input combined with LLMs makes for a much more natural workflow. I wonder how well it handles messy handwriting and if fine-tuning on personal notes would improve recognition over time.
Probably just knee-jerk downvotes from people who misread the title and assumed you were confused. Honestly, the PS/2 vs PlayStation naming overlap is fair—Sony could’ve picked a more distinct name!
Right? The golden age of game dev—low-level programming, custom hardware tricks, and figuring out how to squeeze every last drop of performance out of the PlayStation. I’d love to see those internal docs and training materials. Probably a treasure trove of lost optimization techniques!
Focus on building real projects, contributing to open source, and gaining practical experience. Strong problem-solving skills, knowing system design basics, and some cloud familiarity (AWS/Azure/GCP) help. Networking and referrals matter a lot—try to connect with industry folks on LinkedIn or attend meetups. Most importantly, don’t just grind LeetCode—show you can build and ship things.
The decline of entry-level roles is worrying. Companies are optimizing for immediate productivity but forgetting that juniors grow into seniors. No training, no pipeline, no future talent...
It's truly disheartening to see Vi Hart's videos being removed or made private. Her unique approach to mathematics has inspired countless students and enthusiasts. The remaining video, "On Gender," offers a glimpse into her perspectives beyond math. It's concerning to think that harassment or negative experiences might have led to this situation. I hope that, in the future, creators like Vi can share their work without fear, and that platforms can find ways to preserve and respect such valuable content.
I get the argument that syntax highlighting can be distracting, but I think the real issue is bad highlighting. Overly bright themes, too many colors, or inconsistent styles can make code harder to read. But when done right—like with semantic highlighting that differentiates mutable vs immutable variables—it can actually enhance understanding rather than clutter the screen. Maybe the problem isn’t highlighting itself, but how it’s typically implemented?
If you're planning to do local GenAI, the biggest factor is VRAM, not just GPU power. Even smaller LLMs (e.g., 13B-30B) require a lot of VRAM to run efficiently, and 8GB is borderline for anything beyond toy use. If you’re serious about local GenAI, a second-hand RTX 3090 (24GB VRAM) or a 4070 Ti (16GB VRAM) would be a much better investment than an NPU, which currently isn't widely supported for local inference.
Right? Turns out fool’s gold has a bit of wisdom after all. It won’t make you rich, but in the right conditions, it can help concentrate the real stuff!
Nope, this doesn’t create gold, just helps existing gold accumulate in certain conditions. Actual gold creation requires nuclear reactions, which are technically possible but not practical.
Fascinating read! So if arsenic helps gold concentrate in deposits, does this mean arsenic-rich environments are better places to prospect? Or is it more about how existing deposits form rather than finding new ones?
Would be interesting to see if any municipalities have experimented with self-healing surfaces at small scale to gauge cost-effectiveness. If it reduces long-term maintenance, councils might actually save money instead of just patching potholes endlessly.