标签：#sse

Building an operating system is a project I have had my eyes set on ever since I discovered free will in the realm of programming. Years ago, I did a reasonable amount of research, paying extra attention to the subject during my computer science degree and I was able to understand Operating System Theory and how it works from first principles but I never really got around to building one. I had only flimsy reasons for not embarking on it like "why build one when there are tons of working ones out there? The theoretical knowledge is enough" . More recently, I am ignoring the need to not re-invent the wheel for the joy of programming. So if you are interested in also rebuilding stuff because you can, join me on this series as I document how I am going to be building kluster. kluster is in its infancy and the direction is not clear but the one certain thing is that I will be building it entirely in Rust, save some assembly instructions and a linker script and I will be explaining every single line of code along the way. It will also be designed to target the raspberrypi 4 & 5, on qemu and on real hardware respectively. This is an opportunity for anyone who wants to see how Rust works at the lowest of levels to hop on and join the ride. Note that this series will be your biggest lesson on delayed gratification because we will write a lot of code before we even get to see anything meaningful on screen but I will foreshadow what you can get by the end of part 3 if you are patient enough: {{ image(src="/images/os-part3-result.png", alt="Part 3 Results OS Dev") }} You can also clone the source code for part 1 from Github and follow along. Project Setup First things first, let us setup the foundation of the project. I'll be straight with you, I love Rust and I enjoy using the Rust ecosystem in its entirety so I will stay true to that and use it as obsessively as any true Rustacean; I won't hold back. Without doubt, all the dependencies we need are freely available as long as

The clip features the David Bowie track “Five Years,” which includes lyrics such as “Earth was really dying (dying).”

The bottleneck in a mature SOC is rarely analyst triage; rather, it is the detection-engineering team's ability to keep the rule base aligned with a threat landscape that evolves faster than rules can be written. Learn how multi-agent system for production security operations has reduced mean times to detect and to respond by 40% and compressed the human work required by 12x. By Willem Berroubache

Uber is also investing in Travis Kalanick's company Atoms, which has made gauzy claims about using industrial AI to modernize the world.

Halliday’s G2 glasses can listen to and summarize your workplace meetings—with no video involved.

"Everybody knows the Greeks are inside."

#NebiusServerlessChallenge Live dashboard: Myth-Busting Quantitative Terminal · Live endpoint: /predict on Nebius Serverless · Code: github.com/KoralZakai/stocksPredictionAfterTweet Everyone on a trading desk knows the story. He tweeted about Intel, and the stock ran for months. He posts about Iran, oil spikes. The anecdotes are vivid, specific, and everybody has one. While the prevailing myth suggests that Trump's tweets drive market movements, my research — built on an analysis of 78,130 posts, with Llama-3.3-70B reading every market-relevant tweet — reveals a more nuanced reality. The findings demonstrate that the market tends to price in significant events long before the tweet is even posted. This indicates a case of reverse causality, where the market dictates Trump's narrative, rather than the other way around. He isn't moving the market; he is simply riding the wave of established trends. Forward — the direction you could trade — the signal is a coin flip, and I can show that with pre-registered tests rather than vibes: 0 of 63 cells survive correction. Getting to that answer honestly was the hard part. Seven times this pipeline produced a beautiful, publishable, completely false positive — each one looking exactly like the discovery the anecdotes promise. Those seven are the engineering content of this post. The setup Data. 78,130 public posts; 8,317 in the study window (2025-01-01 → 2026-07-06). Daily OHLCV bars for 62 tickers, committed to the repo. Public data only — a stranger can re-run every number without a single private key. The model. meta-llama/Llama-3.3-70B-Instruct on Nebius AI Studio , zero-shot, reading only the tweet text : what is this post about, which instruments does it touch, and which way does each one go. 476 tweets, 1,296 instrument calls. No fine-tuning — the question is whether the text carries signal, and a fine-tune would smuggle the outcome into the answer. The architecture. Nebius Serverless AI Jobs run the batch research pipel

"Increasingly in our world, it gets harder and harder to know what is real," Lorde said onstage.

Somebody on Reddit posted about 997s that just say AK5*R*5 — one or more segments in error — no AK3 , no AK4 . Preach. That's the problem this free doohickey* is for: rejectdecoder.com *If you'd prefer a "gizmo", I can make that happen. What it does Paste the rejection (997, 999, 824, TA1) plus the original bounced document. It parses both locally in your browser and cross-audits them: control number agreement segment counts envelope consistency code validity required segments It then quotes the exact segment byte-for-byte and ranks the likely causes for anything it finds. If it finds nothing, it says the answer isn't in the docs and tells you to escalate to your partner with your control numbers — which beats pulling a diagnosis out of my... AIs. Where the AI does (and doesn't) fit I know how and appreciate WHY "AI-powered EDI" is sneered at. So the audits here are deterministic parser code, not a model. The AI only writes the plain-English narration of facts the parser already verified, every card says so, and if the narration fails you still get the full audit results. No hallucinations or guesswork. Privacy Parsing runs entirely in-browser (the real Python parser, compiled to WebAssembly via Pyodide) and even works with the WiFi off. If you use narration, only a masked summary you preview first ever leaves the page. Don't take my word for it — check your network tab. Free. No signup for the examples or the deterministic audits; narration is a handful of decodes a month with just an email. Built it solo from an in-house tool of mine, so it's young AND kinda old. Please tell me where it's wrong. Walmart's rejection quirks are encoded so far. Whose partner nonsense should be next...? -jjg

Instagram head Adam Mosseri believes companies will eventually need to manage AI token spending the same way they manage payroll or other operating expenses, predicting that engineers could soon face limits on how much they spend using AI tools.

The glasses are targeted at people who might be constantly in meetings, giving presentations, and traveling to countries where different languages are spoken.

I got tired of SSHing into the box every time I shipped something, just to watch the logs come up. So I wanted a page in the admin panel where the lines scroll past as they happen, no dashboard, no Grafana, just the raw tail. The surprising part was how little I had to build for it, most of the pieces were already sitting on the server waiting for me to connect them. Here's the whole idea. The app writes JSON to stdout, systemd grabs that stdout and drops every line into the journal, and journalctl can follow the journal and hand the lines back live. All three of those already exist on an Ubuntu box. So the "live log viewer" is really just me spawning journalctl on the server and piping its output to the browser over an EventSource , which is a lot less code than it sounds like. journald is boring and well understood. SSE is boring and well understood (it's been in browsers since about 2011). Nobody gets excited about either one on its own. But snap the two together and you get a real-time log tail with no agent, no log shipper, no vendor, and nothing new to keep alive. Two defaults meeting each other and pretending to be a feature. Systemd thing People have opinions about systemd. Some of them are that you should avoid every part of it that you can, run your own supervisor, ship logs somewhere with your own daemon, and treat journald as a thing to route around. That's a fine hobby if you have the time for it. I don't. The box boots, systemd starts my unit, and when the unit writes to stdout the line ends up in the journal without me configuring anything. Being a purist here costs real hours and buys me a philosophy. Being pragmatic costs nothing and buys me a log tail. So this is the pragmatic path. If you're on a distro where journald is the default (Ubuntu, Debian, Fedora, most of them now) the setup below is basically free. Getting logs into the journal Here is the part most people overcomplicate. You do not "set up journald". You do not open a socket to it or p

Chemistry Ventures, the VC firm launched by Bessemer, Index Ventures, and Andreessen Horowitz alums, is raising $500M for its second fund.

You can clip a cover over the cameras, which could be a double-edged sword.

Even Realities, an ex-Apple team building camera-free smart glasses, raised $150M from Meituan and Tencent at a $1B valuation.

From cooling hybrids to organic latex beds, these are the mattresses WIRED reviewers actually sleep on and recommend.

You bought the hardware. Now you’ll need to subscribe for “expanded access” to the most advanced features.

"You gods don't speak in ways we understand."

Operation by two Russia-state groups has been ongoing since at least March.

This article covers debugging and deploying a Rust backed WASM module with a Firebase hosted web app...