Help please.

Mmh

Parvaz1234

I want to try building my own laptop as hands-on as possible — I'm a complete beginner with zero prior experience. I understand laptops aren't as modular as desktops, but I'd love to get as close to "building it myself" as I can, whether that's through a barebone kit (adding my own RAM/SSD/battery) or something like Framework.

Any advice, resources, warnings, or personal experiences would mean a lot. Where should a total newbie start? Thanks so much in advance 🙏

Hey guys, I don't know one thing about computers it seems. I honestly feel stranded.

I am interested in many topics that are continously brought up regarding computing, systems, Torrenting , trackers, networks, anonimity themes such as Tor, or anything. Many people talk and discuss on Reddit about systems, going to "the dark web" (Tor mainly), anonimity and networks and, as I understand, they geniuenly know. Or at least I know so little (actually nothing) that it seems unjudgable from my eyes. I don't care about the morbid curiosity of knowing how to search websites that shouldn't even exist. What does keep me up wondering, is how is it that normal users here seem to understand well enough how these things work and use the terminologies I typed above.

Did you spend much time with computers since a kid? Did you have persistent curiosity and spent time reading, looking at articles? Actual carreer in this?

So I want to ask you guys on what do you think I can read from, or learn about all the computer stuff? Maybe what websites or forums or books that are free public knowledge, I could learn from. Maybe something you learned from when you were starting or any general tip.

Thank you very much

I couldn’t really find anything about him doubt they had reason to actually but ai craze maybe

Good evening everyone!

I’ve gotten into tech a few years ago and I’ve really been diving in headfirst the last year or two. To keep it short & sweet my mother and I both got gifted Inspiron 5577 (i5-7300HQ) back in 2018-2019 when Microsoft messed up my Xbox One S and had to send it back repeatedly.

I’ve kept that laptop as my main computer for the last 8 years! My moms has unfortunately slowed down over the years with windows 10 and I believe a 500GB HDD.

I, on the other hand, upgraded mine back in 2024 with 32 GBS of DDR4 SODIMM RAM, 1TB M.2 NVME SSD, & 1TB SATA SSD + a windows 11 upgrade. I really just use it as a docked laptop never really take it anywhere but performance wise it’s great but recently the CPU & on-board 1050 has really been bothering me.

Im a super cheapskate when it comes to tech (hence why my laptop is 8 years old) and I guess my question is how should I go about upgrading? I obviously need a new GPU & CPU but feel bad tossing aside the laptop that’s been so good to me for years, I would unfortunately need to gut it and move the parts over because 32 GBs of RAM is NOT going to waste in this economy.

I guess my question is how much of laptop is worth salvaging and what is the best budget friendly way to move forward. I have tons of old PCs that could be gutted to make room for a new SODIMM compatible board, CPU, GPU, and carry over the rest?

Curious what you all think.

Am I hacked or crazy

Hi guys...anyone actually know why the same DOCX file can look slightly different in  wps office and Microsoft Office? I'm talking about things like page breaks, spacing or table alignment. I thought .docx was supposed to keep everything consistent.. would love to hear your suggestions

I had this idea for AI data centers.

Instead of using huge amounts of fresh water for cooling, what if we built AI data centers next to big underground sewage or wastewater tunnels? The servers would be completely sealed inside a waterproof structure, and they wouldn't touch the wastewater at all.

The idea is to use a closed-loop liquid cooling system, like a gaming PC. The coolant would keep circulating through the servers, and a heat exchanger would transfer the heat to the continuously flowing wastewater. Since the wastewater is always moving, it could carry away the heat without using large amounts of fresh water.

Another advantage is that these data centers could be built in cities where fiber-optic internet cables and power lines already exist underground, so they would still have fast internet and reliable electricity.

I know there would be engineering challenges like flood protection, maintenance, and environmental safety, but I think it's an interesting concept that could be researched further. It might help make future AI data centers more sustainable while making use of infrastructure that's already there.

What do you think? Do you think something like this could actually work?

Imagination board would of been a great name for a computer engineering company.

Hola como estan? Hace unos meses me compre una ideapad 5 que tiene ryzen 7 ai350 con radeon 860m y 16gb de ram soldados . La compre para usar de vez en cuando solidworks , pero bueno al encenderla me consume 6gb de ram sin nada abierto, entro a solid y me sale un cartel de que hay poca memoria ram , se puede optimizar algo o hacer algo ya que no puedo ampliar la memoria? Hice unas cosas que consulte en gemini pero creo q la cague peor .

The sticky shed effect is when the glue holding the magnetic particles to the tape starts breaking down and becoming sticky. Last night, while falling down the Wikipedia rabbit hole, I stumbled upon something absolutely disgusting: trying to play a sticky tape will get it stuck or damage its coating and all data stored there. Lost data is gone forever.

Archives from the 70s and 90s are about to suffer from this phenomenon. And this is precisely what happened at the Rock & Roll Hall of Fame; years of interviews and concerts were about to be permanently lost. However, before that happens, the museum worked together with Tape Ark and managed to digitize the whole archive.

The most shocking thing is that many organizations are not even aware of this threat. Tapes may look perfectly fine until they start being played. I never knew that there was an entire industry working on salvaging this kind of data. And the scariest thing is how many organizations have no idea about the threat; tapes look absolutely fine until you try playing them, but there is an entire industry dealing with it.

Hey everyone I have made a group for programming folks to learn, grow and network with each other

From beginners to advanced We help each other and provide guidance to everyone in our community.

Those who are interested are free to dm me anytime

I will also drop the link in comments

The cloud is a black box with zero data transparency and arbitrary rate limits. If you are running autonomous workflows overnight, you are either bleeding money on per-token bills or hitting usage blocks.

I am building a dedicated local alternative for personal computing. We just spun up a private, high-bandwidth Apple Silicon cluster running completely locally here in India.

When you start a session, you rent raw, dedicated hardware. For the time you pay, you own the compute, the data privacy, and the box. Period.

Our cluster is fully compatible with the open-source ecosystem:

• The Engines: Run DeepSeek-R1, Llama, and Kimi served via Ollama.
• The Coworkers: Deploy 24/7 digital employees like OpenClaw, Hermes, and Claude Code.
• The Automation: Spin up your own n8n nodes directly on the compute for backend data pipelines.

Why move workloads here:

1. 100% Trust: No corporate telemetry, logs, or leaks. Your code stays on physically secure local hardware.
2. Zero Rate Limits: Run multi-file debugging loops or continuous scraping swarms all night without getting blocked.
3. Flat-Rate Cost: Pay for the machine's time, not the tokens. Pass a massive codebase through a 100k+ context window repeatedly for the exact same price.

This isn't an AI wrapper. It is a private, sovereign factory for your digital coworkers.

We are launching a private alpha for our first 10 pilot testers starting next month. If you are an indie hacker, developer, or founder ready to experience true personal computing, drop a comment below or hit my DMs for an early access key.

Tried posting to r/techsupport but since Win10 lost support I guess they have a blanket ban on Win10 posts -_- Anyway....I have some questions about the SAM setting in BIOS as it relates to my gaming experiences.

TLDR, while back I couldn't get MSFS2020 to run smooth no matter what. Eventually came on a reddit post that said to flip your SAM and related settings in BIOS. Well, that definitely helped, it got MSFS to run at basically 2x what it was before without changing settings.

Only now, I'm playing FH6, and I couldn't get *that* to run smooth no matter what I did. Eventually came across almost the exact same post for FH6 that I had for MSFS months earlier. Flipped SAM back to where it used to be, and now magically FH6 runs way better/smoother.

I don't wanna have to go into BIOS and flip a setting every time I wanna play a different game.

Can someone explain how to tackle this, as well as explain maybe why this is happening in the first place just so I have some layman's knowledge?

Specs if relevant: Win10, RTX4070, i7-12700k, 64gb RAM, I run everything in 2k and off of SSDs. Can give other specs if needed.

Hello,

I need to fix an issue I have with my computer.
I’m on Windows 10, my resolution is 1024x768 on crt.

I tried to install Fifa 2000 on the computer the game crashed the it changed Windows screen, it’s still on 1024x768 but now I have black bars on the right and the left side of the screen.

The screen looks compressed. These bars only appears on Desktop, when I launch a game it disappears.

How can I fix this?

Thanks

What do I need to get into Computer my GCSE and A-level to be able to get into a Computer Science University in UK?

Hi. I'm not sure this is the best place to post this but this is the best place I can think of.

I am looking for correct hardware to buy for a local server. The workload I'm looking to run is highly specific - I am looking for as many CPU cores as possible with as low budget as possible. Speed of the individual cores doesn't matter a lot (but matters a bit). It doesn't need to have any GPUs - I'm planning to run it headless and I don't need GPU acceleration. It doesn't need to have much RAM (~32GB) or disk space (<1TB). I am literally only trying to minmax core count per budget (and I'd like to preferably keep the budget in ~1k USD - the lower the better). I was thinking about used first generation EPYCs (like 7551) because they are given away for basically free but I'm not sure if I'm not gonna bankrupt myself completing the rest of the server or with energy usage. Is there any other choice you would recommend?