Energy is getting the real moat in AI infrastructure... - You can order more GPUs. - You can't build cheap electricity capacity fast. Lots of companies sitting on long-term power contracts are quietly in a strong position for the next 5 to 10 years — and most of them are currently priced as something else entirely. Which ones are you watching? submitted by /u/InvestmentBiker [link] [Kommentare]

Interesting how even the smallest sale broke the narrative, but the bigger signal is they’re still buying dips and finding new ways to fund it submitted by /u/JAYCAZ1 [link] [Kommentare]

Here is mine: I bought 1000$ worth of PNUT (solana memecoin) back in early november 2024. Sold for 4x or so few days later. Then on november 11th 2024 Binance listed PNUT on spot trading out of nowhere like a week after I sold my entire bag. Had I just waited 1 more week I could have sold for 700-800k... Now I am a broke 23yo, living paycheck to paycheck with a 85k/year job and a lot of debt... submitted by /u/duc_one [link] [Kommentare]

The Problem My self-hosted Jellyfin was slow whenever I connected to it from abroad over Tailscale. My ISP upload is about 500 Mbit/s, but streams stuttered and iperf3 over the tunnel only managed ~10 Mbit/s: $ iperf3 -c jellyfin-host [ 5] 0.00-10.00 sec 11.9 MBytes 10.0 Mbit/s It wasn’t a relay or routing issue — tailscale status showed a direct connection (not a DERP relay): $ tailscale status 100.xx.xx.xx jellyfin-host linux active; direct xx.xx.xx.xx:41641 So: direct, low-latency, half a gigabit of upload available — and still only 10 Mbit/s for a single stream.

When you press the power button on the SpacemiT K3 Pico-ITX, Ubuntu 26.04 appears on the serial console about 30 seconds later. Between those two events, five distinct software layers run in sequence, each one handing off to the next. Understanding what each layer does - and why it exists - matters the moment something goes wrong, or the moment you want to put a different OS on the board.

Personal webpage of Alexandre Dulaunoy - from information security to open source and art

A continuity system for LLM–harness collaboration. Builds technical specifications through structured persona conversations — and carries session state across compactions, sessions, and time. Describe a problem. Storytime surveys your codebase, assembles a team of domain-expert personas, and runs a structured conversation that produces a plan — grounded in your actual code, with citations, decisions, and visual aids. Underneath the spec workflow is a consolidation loop that preserves continuity across compactions and sessions. Phases collapse when empty. Not every run uses every gear. See a full walkthrough → Storytime v1.0.1 — github.com/1ps0/storytime