Databricks’ former AI chief thinks he can cut AI’s power bill by 1,000x
Un-0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional AI systems.
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Un-0 is an image-generation system tool that shows for the first time how the company's technology can replicate conventional AI systems.
Market research company Klue told customers that it believes the hacking group that stole their data is now deleting it. The company, however, warned about a second group of hackers wanting ransom.
We talk a lot about what AI can build. Code generation. Faster prototypes. Automated debugging. One-shot apps. Entire products created in hours. And yes, AI is powerful. But there is a quieter cost we are not talking about enough: AI hype is starting to weaken the motivation to learn core engineering deeply. That should worry us. 1. The "Why Bother?" Mindset When the dominant narrative says AI can generate code instantly, many engineers start asking: Why should I spend months mastering frameworks, architecture, databases, networking, or system design? At first, that sounds practical. If a tool can help, why not use it? But there is a difference between using AI to move faster and using AI to avoid understanding. Core engineering is not just about writing code. It is about knowing why something works, where it breaks, how it scales, and how to fix it when the generated answer is wrong. If we skip that learning, we create engineers who can prompt systems but cannot reason deeply about systems. That is a dangerous tradeoff. 2. The Funding and Praise Monopoly Right now, AI gets most of the attention. Budgets move toward AI. Leadership praises AI initiatives. Teams are pushed to add AI features even when the fundamentals are still weak. Meanwhile, excellent core engineering often goes unnoticed. The people improving reliability, performance, developer experience, infrastructure, security, and maintainability are still doing high-impact work. But in many places, that work is being treated as less exciting simply because it is not branded as AI. This creates pressure. Engineers feel they must pivot to AI, not always out of interest, but out of fear. Fear of being left behind. Fear of being replaced. Fear that their existing expertise is no longer valued. That is not innovation. That is anxiety disguised as progress. 3. The "AI-First" Discount There is another subtle problem. When someone builds something impressive today, the reaction is often: AI probably generated that.
The Department of Transportation wants to remove the brake-pedal requirement for vehicles "designed to be driven exclusively by automated driving systems."
GitHub热门项目 | An efficient AI coding agent | Stars: 607 | 137 stars this week | 语言: Rust
GitHub热门项目 | Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale. | Stars: 9,104 | 5 stars today | 语言: Rust
GitHub热门项目 | A Flash Player emulator written in Rust | Stars: 18,229 | 9 stars today | 语言: Rust
GitHub热门项目 | Kata Containers is an open source project and community working to build a standard implementation of lightweight Virtual Machines (VMs) that feel and perform like containers, but provide the workload isolation and security advantages of VMs. https://katacontainers.io/ | Stars: 8,166 | 12 stars today | 语言: Rust
Introduction I'm Ahmer. I'm 19, I'm doing a 4-year Software Engineering degree at a fairly...
Everything is expensive. Treat yourself to one of these WIRED-tested and -approved Prime Day picks under $30.
This year, FIFA is providing an AI agent that any team can use. Is it enough to level the playing field or will future winners be determined by which team can afford the best tools?
Spencer Judge discusses the architectural pattern of building a shared core in Rust with language-specific layers on top. Drawing from his work on Temporal's SDKs, he shares lessons on navigating FFI boundaries, bridging async concepts, and managing memory safely. He explains the limitations of native extensions and how emerging tech like WebAssembly can streamline cross-language architecture. By Spencer Judge
Security researchers found evidence that Russian authorities hacked the iPhone of a political opponent using a phone-unlocking device made by Cellebrite, even after the company said it would stop selling to Putin’s government.
kreuzcrawl began as a Rust core with bindings for ten languages. v0.3.0 ships fourteen, adds a tiered WAF-aware dispatch engine, cuts peak streaming memory from ~2.5 GB to ~20 MB, and enables SSRF defense across every outbound call path by default. It is the first release we consider API-stable. This post covers what changed, why each decision was made, and what the harder engineering problems looked like from the inside. At a glance Area v0.2.0 v0.3.0 Language bindings 10 14 (+Dart, Kotlin/Android, Swift, Zig) Peak streaming memory ~2.5 GB ~20 MB SSRF protection opt-in on by default Dispatch model static HTTP / bypass / browser tiered, signal-driven escalation WAF fingerprints — 35 across 8 vendors Fingerprint hot-reload — lock-free ( ArcSwap ), 500 ms debounce MCP tools partial 1:1 with CLI, safety-annotated CLI subcommands scrape, crawl + batch-scrape, batch-crawl, download, citations Robots / sitemap parsers engine-internal public modules API stability preview stable Four new language bindings v0.2.0 shipped Rust, Python, Node.js, Ruby, Go, Java, C#, PHP, Elixir, and WebAssembly. v0.3.0 adds Dart , Kotlin/Android , Swift , and Zig — bringing the total to fourteen. None of the per-language glue is written by hand. Every binding is generated from the Rust core by alef , our polyglot binding generator. The Dart and Kotlin/Android packages bind through the C FFI layer ( kreuzcrawl-ffi ) via dart:ffi and JNI respectively. Swift binds through clang. Zig uses @cImport against the same C header. The generation pipeline also hardened in this release: the Docker publish matrix now builds each architecture natively rather than via QEMU emulation, the Dart build no longer requires the Flutter SDK for pub.dev publishes, Swift artifactbundle checksums are injected automatically, and the Elixir/PHP/Ruby releases preserve their lock files through the source-publish step. === "Python" ```sh pip install kreuzcrawl ``` === "Node.js" ```sh npm install @xberg/kreuzcrawl ``` === "Rus
Right now he's merely a several-hundred-billionaire, according to Bloomberg's Billionaires Index.
We still don't know why RFK Jr. overruled CDC expert to order strict quarantines.
The AI arms race between China and the US has researchers on both sides worried about a “Chernobyl moment.”
While the court still hasn't signed off on the massive settlement resolving Epic's antitrust lawsuit against Google for having a monopoly over Android's app store with Google Play, the tech giant says it will start rolling out changes to the way it handles billing for developers worldwide. As announced in March, the flat 30 percent […]
You can save hundreds of dollars on Breville appliances during Amazon Prime Day.
Global music streaming service Deezer is taking a contrarian approach to AI, even as it adds a feature that lets fans remix songs.