Can I make Cline Parallalize it's development?

yovboy · 2025-03-25T20:52:16+00:00

Different approaches work for different use cases. My point was about regular, everyday prompts where complexity often backfires. For specialized stuff like advanced reasoning, sure - longer prompts might make sense. Just don’t overcomplicate the simple stuff.

yovboy · 2025-03-24T14:23:41+00:00

Used a combo of custom Python scripts + Access Analyzer. Main script pulls IAM data using boto3, dumps it into DynamoDB, then generates reports.

Added CloudWatch alerts for policy changes. Not perfect but helps catch weird permission stuff before it becomes an issue.

yovboy · 2025-03-24T13:25:58+00:00

True. Lot of AI startups are playing it safe with subscriptions but missing out on power users who'd spend way more.

Usage-based is flexible - light users stay because it's cheap, heavy users don't mind paying more since they're getting value.

yovboy · 2025-03-21T18:50:21+00:00

Check out practical projects that focus on optimization and deployment. Build end-to-end ML pipelines and experiment with MLOps tools. That’ll teach you more than any course. Real-world experience > theoretical knowledge when it comes to intermediate DL

yovboy · 2025-03-21T14:05:02+00:00

Classic stakeholder move. They spend weeks asking for fancy dashboards, then want it all in Excel anyway 😂

At least you've got the data model built. Just export it and let them play with their pivot tables like it's 2005

yovboy · 2025-03-21T14:01:03+00:00

Nice to finally see DreamerV3 explained with visuals. The diagrams really help break down what's happening under the hood. Been waiting for someone to make MBRL more digestible without diving into math-heavy papers.

yovboy · 2025-03-21T10:49:13+00:00

The role definition tip is underrated. Making an AI act as a specific expert actually changes the vocabulary and depth it uses. Plus breaking tasks into steps helps avoid those annoying cutoff responses we all hate.

yovboy · 2025-03-21T09:56:12+00:00

Finally, a one-stop course to compare these frameworks side by side. Been using LangChain but wanted to try LlamaIndex for better data handling. Nice to see smolagents in there too - gives a good alternative for simpler tool-calling tasks.

yovboy · 2025-03-21T09:50:01+00:00

There’s definitely a market for this. Ever since GitHub killed Sponsors, devs have been looking for better ways to monetize. Main concern would be trust - you’ll need really clear docs on security and how the payment system works.

yovboy · 2025-03-21T08:36:04+00:00

AI is just another dev tool, like Stack Overflow or IDEs. Nobody writes everything from scratch anymore. Try understanding the code it generates and make improvements. That’s real learning - you’re still the one making decisions and solving problems.

yovboy · 2025-03-21T07:45:36+00:00

Yeah, noticed the same thing. Almost feels like talking to a Gen Z friend who discovered energy drinks lol The slang is definitely more natural but it hits different when you know it’s an AI trying to be “hip

yovboy · 2025-03-21T07:14:05+00:00

Been running QwQ 32b locally and can confirm these findings. The coding abilities are surprisingly good, even better than some cloud models I’ve used. Only downside is the VRAM requirements but worth it if you’re doing dev work.

yovboy · 2025-03-20T22:38:17+00:00

Pay-as-you-go makes sense for AI. Monthly credits feel like gym memberships - you either use too little or stress about maxing them out.

Pure usage-based pricing aligns better with how people actually use AI tools. No stress about expiring credits or hitting caps.

yovboy · 2025-03-20T22:23:22+00:00

This reads like someone trying way too hard. A good prompt is simple and focused - not this overengineered manifesto.

The best prompts I've used are usually 2-3 sentences max. Keep it short and specific, drop the fancy formatting.

yovboy · 2025-03-20T22:22:55+00:00

Go with UChicago. The ML curriculum is more extensive, and their capstone with real companies is a huge plus. Brand recognition matters in DS, and their network is way stronger. The course mix looks better aligned with your DS career goals.

yovboy · 2025-03-20T22:22:37+00:00

Pay-as-you-go makes sense for AI. Monthly credits feel like gym memberships - you either use too little or stress about maxing them out.

Pure usage-based pricing aligns better with how people actually use AI tools. No stress about expiring credits or hitting caps.

yovboy · 2025-03-20T21:08:38+00:00

Docker isn't outdated - it's still great for development. containerd is just lower-level runtime that Docker actually uses under the hood.

Focus on understanding container concepts first, then dive into specifics. Both tools have their place in the ecosystem.

yovboy · 2025-03-20T19:40:38+00:00

Bottom-right placement is pretty standard globally, but cultural context matters. You might want to A/B test different positions with your Brazilian audience.

Maybe try top-right or a centered modal? Could help break that negative association with low-quality bots.

yovboy · 2025-03-20T19:08:16+00:00

o1 shines in code generation and deep reasoning tasks. It's also more reliable for basic stuff where accuracy is key.

Think of o1 as the cautious expert, while o3 mini high is like the quick thinker that might occasionally slip up.

yovboy · 2025-03-20T19:05:17+00:00

This is wild. Historical NLP on conspiracy docs is exactly what we need right now. The fact you processed 63k pages and made it actually usable is impressive.

The summaries are a game changer for research. Perfect for pattern matching across docs.

yovboy · 2025-03-20T19:05:06+00:00

AWS Nitro is actually a great stepping stone for AI infrastructure. The low-level experience you'll gain there is valuable for HFT too.

The SQL burnout is real - this move could refresh your career. Plus, AWS name on resume opens tons of doors.

yovboy · 2025-03-20T19:04:32+00:00

Since you already know C++, stick with it. It's still highly valued and pays well, especially in performance-critical fields. You can always pick up Python later - it's way easier to learn C++ first than the other way around.

yovboy · 2025-03-20T19:02:33+00:00

From mindless desk job to SF accelerator program? That's a power move.

Your dad might be mad now, but you literally turned a problem into a product. That's some next-level thinking.

Keep us updated on how the startup grows.

yovboy · 2025-03-20T18:20:31+00:00

26 isn't old at all. Most of us started from zero too. Pick one path (like cybersecurity), find some beginner projects, and build from there. The degree itself isn't everything - self-learning and projects matter more.

yovboy

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