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South Korean crypto firm accidentally sends $44B in bitcoins to users

https://www.reuters.com/world/asia-pacific/crypto-firm-accidentally-sends-44-billion-bitcoins-use...
1•layer8•1m ago•0 comments

Apache Poison Fountain

https://gist.github.com/jwakely/a511a5cab5eb36d088ecd1659fcee1d5
1•atomic128•3m ago•0 comments

Web.whatsapp.com appears to be having issues syncing and sending messages

http://web.whatsapp.com
1•sabujp•3m ago•1 comments

Google in Your Terminal

https://gogcli.sh/
1•johlo•5m ago•0 comments

Shannon: Claude Code for Pen Testing

https://github.com/KeygraphHQ/shannon
1•hendler•5m ago•0 comments

Anthropic: Latest Claude model finds more than 500 vulnerabilities

https://www.scworld.com/news/anthropic-latest-claude-model-finds-more-than-500-vulnerabilities
1•Bender•9m ago•0 comments

Brooklyn cemetery plans human composting option, stirring interest and debate

https://www.cbsnews.com/newyork/news/brooklyn-green-wood-cemetery-human-composting/
1•geox•9m ago•0 comments

Why the 'Strivers' Are Right

https://greyenlightenment.com/2026/02/03/the-strivers-were-right-all-along/
1•paulpauper•11m ago•0 comments

Brain Dumps as a Literary Form

https://davegriffith.substack.com/p/brain-dumps-as-a-literary-form
1•gmays•11m ago•0 comments

Agentic Coding and the Problem of Oracles

https://epkconsulting.substack.com/p/agentic-coding-and-the-problem-of
1•qingsworkshop•12m ago•0 comments

Malicious packages for dYdX cryptocurrency exchange empties user wallets

https://arstechnica.com/security/2026/02/malicious-packages-for-dydx-cryptocurrency-exchange-empt...
1•Bender•12m ago•0 comments

Show HN: I built a <400ms latency voice agent that runs on a 4gb vram GTX 1650"

https://github.com/pheonix-delta/axiom-voice-agent
1•shubham-coder•13m ago•0 comments

Penisgate erupts at Olympics; scandal exposes risks of bulking your bulge

https://arstechnica.com/health/2026/02/penisgate-erupts-at-olympics-scandal-exposes-risks-of-bulk...
4•Bender•13m ago•0 comments

Arcan Explained: A browser for different webs

https://arcan-fe.com/2026/01/26/arcan-explained-a-browser-for-different-webs/
1•fanf2•15m ago•0 comments

What did we learn from the AI Village in 2025?

https://theaidigest.org/village/blog/what-we-learned-2025
1•mrkO99•15m ago•0 comments

An open replacement for the IBM 3174 Establishment Controller

https://github.com/lowobservable/oec
1•bri3d•17m ago•0 comments

The P in PGP isn't for pain: encrypting emails in the browser

https://ckardaris.github.io/blog/2026/02/07/encrypted-email.html
2•ckardaris•20m ago•0 comments

Show HN: Mirror Parliament where users vote on top of politicians and draft laws

https://github.com/fokdelafons/lustra
1•fokdelafons•20m ago•1 comments

Ask HN: Opus 4.6 ignoring instructions, how to use 4.5 in Claude Code instead?

1•Chance-Device•22m ago•0 comments

We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
1•ColinWright•24m ago•0 comments

Jim Fan calls pixels the ultimate motor controller

https://robotsandstartups.substack.com/p/humanoids-platform-urdf-kitchen-nvidias
1•robotlaunch•28m ago•0 comments

Exploring a Modern SMTPE 2110 Broadcast Truck with My Dad

https://www.jeffgeerling.com/blog/2026/exploring-a-modern-smpte-2110-broadcast-truck-with-my-dad/
1•HotGarbage•28m ago•0 comments

AI UX Playground: Real-world examples of AI interaction design

https://www.aiuxplayground.com/
1•javiercr•29m ago•0 comments

The Field Guide to Design Futures

https://designfutures.guide/
1•andyjohnson0•29m ago•0 comments

The Other Leverage in Software and AI

https://tomtunguz.com/the-other-leverage-in-software-and-ai/
1•gmays•31m ago•0 comments

AUR malware scanner written in Rust

https://github.com/Sohimaster/traur
3•sohimaster•33m ago•1 comments

Free FFmpeg API [video]

https://www.youtube.com/watch?v=6RAuSVa4MLI
3•harshalone•33m ago•1 comments

Are AI agents ready for the workplace? A new benchmark raises doubts

https://techcrunch.com/2026/01/22/are-ai-agents-ready-for-the-workplace-a-new-benchmark-raises-do...
2•PaulHoule•38m ago•0 comments

Show HN: AI Watermark and Stego Scanner

https://ulrischa.github.io/AIWatermarkDetector/
1•ulrischa•39m ago•0 comments

Clarity vs. complexity: the invisible work of subtraction

https://www.alexscamp.com/p/clarity-vs-complexity-the-invisible
1•dovhyi•40m ago•0 comments
Open in hackernews

Cloudspecs: Cloud Hardware Evolution Through the Looking Glass

http://muratbuffalo.blogspot.com/2026/01/cloudspecs-cloud-hardware-evolution.html
53•speckx•4w ago

Comments

mad44•4w ago
Does anyone have any explanation or theories about the NVME SSDs pricing anomaly?
till-tum•4w ago
I don't think this can be definitively answered without working for one of the hyperscalers. But here are some speculations: 1. Device speeds are intentionally capped to increase device lifetime (but this would only make sense for writes) 2. Networked storage services like EBS are more profitable, and AWS would like to phase out instance-attached storage. 3. Technical limitations/virtualization overhead (See comment above). I don’t have enough insight of how AWS SSDs work under the hood, but high network throughput (600 Gbit/s) is possible even in virtualized instances. Then again, we have certainly seen some weird noisy neighbor effects on cloud SSDs. However, it's worth mentioning that the same throughput limitations also apply to bare metal instances, where users don't benefit from virtualization (https://docs.aws.amazon.com/ec2/latest/instancetypes/so.html...). 4. There’s too little customer demand for fast SSDs, and optimization is not worth the effort.
neerajsi•4w ago
Speculating: local ssds aren't as valuable in the cloud since they're effectively ephemeral. If the instance restarts, it would lose its storage. Trying to keep a workload affinitized to an SSD or to migrate data to a different SSD when an instance moves increases cost prohibitively.
till-tum•4w ago
For a lot of use cases such as caching (e.g., the ephemeral caching layer in Snowflake), ephemeral storage is good enough. If you really want to, you could also achieve persistence by replicating to multiple instances (afaik this is what DynamoDB does)
justincormack•4w ago
Thats difficult for most people to implement in their applciations, and it increases latency to be closer to networked SSD anyway. So it remains fairly niche.
huntaub•4w ago
I think that number 4 is the big one. AWS only has so much capacity to work on new hardware types, and the number of companies who want to work with on-device NVMe are WAY smaller than then number of companies who just want to slap Kubernetes on some instances with EBS.
gpapilion•4w ago
Nvme pricing is pretty volatile in the past 2 years I’ve seen it move between 2-3x from its low post Covid.

I don’t think the prices have adjusted because of that. Additional during Covid the prices were very high and this is baked into the pricing.

donavanm•4w ago
> The first NVMe-backed instance family, i3, appeared in 2016. As of 2025, AWS offers 36 NVMe instance families. Yet the i3 still delivers the best I/O performance per dollar by nearly 2x.

Article should probably explicitly call out the difference between directly attached nvme storage (good ol i3) and “nitro nvme” (m6id and friends). The later is provided via an embedded card which emulates/provides a virtual nvme device directly to the host/instance. Without digging in to the specifics Im oretty sure thats accounting for the $/perf numbers being relatively flat. And “i” series being local storage cost/perf optimized compared to other families.

Edit: see https://d1.awsstatic.com/events/reinvent/2021/Powering_nextg... and similar talks. And notice the language around benefits of more consistent performance due to the better mediation of resources.

huntaub•4w ago
Yeah, I would keep in mind that not everyone is optimmizing for $/perf, some use cases (where data is colder) are optimizing for $/GiB stored.
dweekly•4w ago
I think one interesting context to consider in this is cloud repatriation. Economics that didn't really pencil out half a decade ago may be worth revisiting for a lot of organizations who now find that their actual bare metal needs are quite modest and can be well met by a few modern servers. The IOPS/$ graph here contrasting on-prem w/cloud in particular is quite telling.
pixl97•4w ago
I've seen a lot of workloads that had multiple servers or large RAID'ed NAS devices get shrank down to a single server after a single NVMe could provide more than enough random IOPS.
roughly•4w ago
I’m not disagreeing with this necessarily, but I do think a lot of people underestimate the costs of actually doing on-prem to a professional standard. You’ll almost certainly have to hire a dedicated team to manage your hardware, and you’re off in the woods as far as most of the rest of the world’s operating stack - an awful lot assumes you’re on EKS with infinite S3 and ECR available. It’s doable, but it’s not drag & drop - the cloud providers are expensive, but they are providing a lot.