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u/sheela-ki-jawaniii

Marvell (MRVL) bouncing back harder than expected? Thoughts on this recent
▲ 3 r/MRVL_Stock

Marvell (MRVL) bouncing back harder than expected? Thoughts on this recent

I just noticed the MRVLON/USDT trend on BYDFI, and it looks more resilient than other semiconductor stocks today. While other chip stocks are still sluggish after their recent sharp declines, Marvell seems to have found a solid bottom around $165 and quickly rebounded to the $181-$182 range. Seeing a 9% gain in 24 hours is quite interesting, especially considering their current high sensitivity to data center spending. I'm wondering if this is just a technical oversold bounce, or if the market is finally digesting the positive news about custom ASIC chips from large cloud service providers. Looking at the large volume green bars at the end of the chart, this rally does have financial support. Is anyone riding this rebound? Or are you planning to wait for it to break through $185 before entering the market?

u/sheela-ki-jawaniii — 8 days ago
▲ 14 r/theaccessbox

I finally sat down and audited my streaming spending. I was wasting $80 a month.

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I followed some advice on churning my subscriptions, only keeping one active at a time. Between that and switching my Peacock to the ad-supported tier, I saved enough to pay for my internet this month. If you haven't checked your active subscriptions in a while, do it today. It’s eye-opening.

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u/sheela-ki-jawaniii — 9 days ago
▲ 48 r/LLMDevs

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I’ve noticed some models are only “good” if you keep patching the workflow around them.

You add extra instructions, then extra validation, then retries, then more prompt structure, then post-processing to clean up the weird misses. At some point the model isn’t the product anymore — the scaffolding is.

That’s partly why Ling-2.6-1T caught my eye — the execution-first positioning sounds less like benchmark theater and more like something built for lower-babysitting loops.

That’s why I’m starting to care less about isolated smart outputs and more about supervision cost. If a model needs constant babysitting to stay useful, it’s expensive even when the raw capability looks strong.

Curious how other builders think about this. When does a model cross the line from useful to high-maintenance?

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u/sheela-ki-jawaniii — 17 days ago
▲ 7 r/BITSATHub

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BITSAT s1, had high weightage from magnetism, vector, 3d, LPP,statistics, electrochemistry, deleted mains chapters,probability and some other important chapters.

What is your prediction for s2?

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u/sheela-ki-jawaniii — 20 days ago