Published on May 13, 2026 at 06:00 CEST (UTC+2)
Restore full BambuNetwork support for Bambu Lab printers (247 points by Murfalo)
Restore full BambuNetwork support for Bambu Lab printers
This GitHub repository is a fork of OrcaSlicer aimed at restoring full Bambu Network support for Bambu Lab 3D printers. The project, hosted by the FULU Foundation, has garnered significant community attention (1.4k stars, 354 forks) and appears to address limitations or restrictions introduced by the original software. It provides an open-source alternative for controlling Bambu Lab printers, likely in response to vendor lock-in or feature removal. The repository includes extensive build scripts, documentation, and cross-platform support.
Googlebook (659 points by tambourine_man)
Googlebook
Googlebook is a new laptop concept designed for Gemini Intelligence, launching Fall 2026. It features a "Magic Pointer" for instant AI interaction, custom widget creation via voice, seamless Android phone integration, and a lightweight design with heavy computational power. The device explicitly positions AI as the core specification, moving beyond traditional hardware specs. It requires Android 17+ and internet connectivity, emphasizing an always-on AI assistant experience.
Starship V3 (135 points by fprog)
Starship V3
This is a SpaceX update announcing the next iteration of their Starship rocket, Starship V3. The brief content preview suggests it focuses on design improvements and performance enhancements for the fully reusable launch system. Likely details include increased payload capacity, engine upgrades (Raptor 3), and modifications for orbital refueling. The update underscores SpaceX's iterative development approach for deep-space missions.
My graduation cap runs Rust (93 points by ericswpark)
My graduation cap runs Rust
The author details building a graduation cap that lights up when the tassel is moved, using a Digispark ATtiny85 microcontroller, 48 WS2812B LEDs, and a reed switch. The project was motivated by the high cost of renting graduation regalia and a desire to add a personal, fiery touch (without actual fire). The cap detects tassel movement and illuminates LEDs on the underside, all programmed in Rust for the embedded system. It’s a creative blend of hardware hacking, embedded programming, and graduation tradition.
Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model (326 points by HenryNdubuaku)
Show HN: Needle: We Distilled Gemini Tool Calling into a 26M Model
Needle is a 26-million parameter model distilled from Gemini 3.1, specialized for tool/function calling. It uses a Simple Attention Network with 8 decoder layers, achieving 6000 tokens/sec prefill and 1200 decode speed on production hardware. The weights and dataset are fully open-source, enabling fine-tuning on consumer devices (Mac/PC). This demonstrates that large model capabilities can be compressed into tiny, efficient models for edge devices.
Kraftwerk's radical 1976 track (87 points by tcp_handshaker)
Kraftwerk's radical 1976 track
This BBC Culture article explores how Kraftwerk's 1976 track "Radioactivity" evolved from a groundbreaking electronic song into an anti-nuclear protest anthem. The piece highlights the song's innovative use of synthesized sounds—Geiger counter pulses, morse code—and its lasting political impact. It marks the 50th anniversary of the track, reflecting on its influence on music and activism.
How to make your text look futuristic (2016) (246 points by vaporwave)
How to make your text look futuristic (2016)
A humorous typography guide from the blog Typeset In The Future, offering six rules to make text appear futuristic: italic slant, curved/angular shapes, V-shaped letterforms, kerning adjustments, ligatures, and removing arbitrary horizontal segments. The post uses Eurostile Bold Extended as a base and satirizes sci-fi design tropes while providing practical (if exaggerated) advice for achieving a "future" aesthetic.
CERT is releasing six CVEs for serious security vulnerabilities in dnsmasq (262 points by chizhik-pyzhik)
CERT is releasing six CVEs for serious security vulnerabilities in dnsmasq
Simon Kelley announces six critical CVEs for dnsmasq, a widely-used DNS forwarder. These long-standing bugs affect nearly all versions and were discovered through AI-based security research, leading to many duplicate reports. Patches are available in a new release (2.92rel2) and development tree. The announcement highlights the growing role of AI in vulnerability discovery and the challenges of triaging automated bug reports.
Why senior developers fail to communicate their expertise (427 points by nilirl)
Why senior developers fail to communicate their expertise
This article argues that senior developers often struggle to convey their expertise because they focus on technical details rather than audience alignment. Using the example of "AI agents will replace developers," it explains how the same statement means different things to different audiences. A copywriter's perspective is used to illustrate that effective communication requires matching the message to the listener's context and level of understanding.
Traceway: MIT-licensed observability stack you can self-host in ~90s (31 points by sebakubisz)
Traceway: MIT-licensed observability stack you can self-host in ~90s
Traceway is an open-source observability platform built on OpenTelemetry, designed for rapid self-hosting (about 90 seconds). It includes a backend, frontend, Docker setup, and documentation, all under the MIT license. The stack aims to provide a full, self-managed alternative to proprietary observability tools, with an emphasis on ease of deployment and debugging.
Model Distillation is Reaching Edge Devices
Needle (26M parameters) distills Gemini's tool-calling capability into a model that runs on microcontrollers and consumer hardware. This trend indicates that large models will increasingly be compressed for offline, low-latency, privacy-preserving use cases. Actionable: Developers should explore distillation techniques for specific capabilities (e.g., function calling, classification) rather than deploying monolithic LLMs everywhere.
AI is Becoming the Core Spec of Hardware
Googlebook positions AI (Gemini) as the primary specification, not CPU/GPU/RAM. This mirrors a shift toward "AI-native" devices where interaction is voice/gesture-based and context-aware. Implication: Future laptops and phones will be judged by their on-device AI capabilities, driving demand for specialized NPUs and tighter software-hardware integration.
AI-Assisted Security Research is Transforming Vulnerability Discovery
The dnsmasq CVE announcement explicitly credits "AI-based security research" for finding six serious vulnerabilities and generating many duplicates. This signals that AI fuzzing and static analysis tools are maturing and outpacing manual review. Actionable: Open-source projects should integrate AI-driven security scans into CI/CD, while maintainers need better triage workflows to handle AI-generated reports.
Senior Developer Skepticism of AI Hype Highlights Communication Gaps
Article #9 reveals a split: senior developers often dismiss "AI replaces developers" because they understand current limitations, while non-developers accept the hype. This communication failure points to a need for developers to translate technical nuance into business-relevant insights. Trend: AI literacy programs and "AI copywriters" will become essential for bridging the gap between engineering and management.
Observability Stacks are Becoming AI-Ready and Self-Hosted
Traceway (self-hosted in 90s) and built on OpenTelemetry reflects a growing demand for open-source, easily-deployable observability tools. As AI-powered applications become complex, observability must support tracing LLM calls, tool usage, and agent workflows. Implication: Expect more AI-native observability features (e.g., automatic anomaly detection, root-cause analysis) in tools like Traceway.
Embedded AI and Rust Continue to Converge
The graduation cap project demonstrates using Rust for embedded systems with AI-like capabilities (detecting tassel movement and controlling LEDs). Combined with Needle's model that can run on tiny devices, the trend is clear: Rust's safety and performance make it ideal for edge AI. Actionable: Developers targeting IoT or wearables should consider Rust for both firmware and lightweight ML inference.
Open-Source AI Models are Democratizing Tool Use
Needle releases weights, dataset, and training scripts openly, enabling fine-tuning on local machines. This follows a broader trend where open-source models (e.g., Llama, Mistral) are commoditizing foundation capabilities. Implication: Proprietary AI moats will shift toward domain-specific data and tool integration, not raw model size. Companies should invest in custom fine-tuning pipelines for their unique tool ecosystems.
Analysis generated by deepseek-reasoner