Ruji @Rujinopy

NVIDIA just dropped an open source Apache-2.0 licensed CAD kernel HAHAHAHAHAHAHAHAHAHAHA i honestly feel bad for the prop CAD bros. this week has been nonstop L's and it isn't getting better from here github.com/NVIDIA-Omniver…

ไลค์เดียวเปลี่ยนมู้ด 🦁❤️

A beautiful surprise

i want one!

thijs @cdngdev

2 months ago

i gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life! it figured out how to control the robot, and progressively got better throughout its attempts. the timelapse is sick

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I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.

400円のプリン頼むだけで毎回全力パフォーマンスしてくれるタイの寿司屋さんに行く方が正解な気がしてきた

GPT-6 Astra doing PCB layout in KiCad 🤯🤯

Chinese researchers published a paper with a devastating title: "The End of Software Engineering” it argues software engineering is finished. In traditional software, code is the carrier of pre-written human logic. In agentic software, the AI agent is the software. Code is no longer a permanent monument built by human hands. It is completely ephemeral, dynamically generated, executed, and discarded on the fly by an LLM-driven reasoning loop. Think about how software delivery has evolved: • Era 1: On-premise licensed software (you installed it locally) • Era 2: SaaS (hosted in the cloud, managed by vendors) • Era 3: Agent-as-a-Service (AaaS) Each historical shift transferred complexity away from the user. But this latest shift transfers something entirely different. It transfers decision-making complexity itself. The paper argues that traditional engineering is hitting a hard complexity wall. Human brains can only hold so much state, manage so many dependencies, and debug so many lines at once. LLM-based agents scale non-linearly. They don't just write functions faster. They navigate architectural complexity by outsourcing reasoning to models that improve every single month. Which means the role of the developer is permanently changing. You are no longer a code author typing syntax line by line. You are an intent architect. Your job is no longer writing the implementation. It is specifying goals, designing multi-agent coordination loops, and auditing outcomes.

เออ ใช้ความรักนำทาง บางทีแม่งเวิร์คว่ะ งานเดินจัดๆ

优必选机器人人脸太真实了 #优必选 $9880.HK

Totality seen from 36,000 feet.

THIS Is What a Solar Eclipse Looks Like From Space 🌑

x.com/i/article/2010…

Are we deadass

Shipper @shipper_now

3 months ago

Introducing epstein.md A 826,500+ Character .MD File that's specifically trained to skip every vibe coded AI Slop design principle. - no box shadows - no emojis - no '🟢 LIVE ' badges - 0 blue/purple gradients & religiously ignores 350 most common AI words (delve, vibe,

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Introducing Kimi K3: Open Frontier Intelligence 🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal 🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts 🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional cost 🔹 Built for long-horizon agentic coding and self-evolving workflows Kimi K3 is now live on on Kimi.com, Kimi Work, Kimi Code, and the Kimi API. Open Weights by July 27, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.com/blog/kimi-k3

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As an Embedded System Engineer, Please learn: • C & Modern C++ or Rust • Data Structures & Algorithms • Computer Architecture • Digital Logic & Boolean Algebra • Microcontrollers (STM32, ESP32, AVR, RP2040) • ARM Cortex-M/A & RISC-V • Embedded Linux • Linux Kernel & Device Drivers • RTOS (FreeRTOS, Zephyr) • Bootloaders (U-Boot) • Build Systems (CMake, Yocto, Buildroot) • Memory-Mapped I/O • Interrupts, DMA & Timers • UART, SPI, I²C, CAN, USB & Ethernet • TCP/IP, BLE, Wi-Fi & MQTT • Sensors & Actuators • ADC, DAC & PWM • Power Management & Low-Power Design • Firmware Architecture • Linker Scripts & Memory Layout • Debugging (GDB, JTAG, SWD) • Oscilloscopes, Logic Analyzers & Multimeters • PCB Basics & Hardware Bring-up • FPGA Fundamentals & HLS • Embedded AI & TinyML • CUDA & Edge AI (for embedded AI systems) • Python & Bash for Automation • Git, CI/CD & Testing • Secure Boot & Firmware Security • Functional Safety Basics (IEC 61508, ISO 26262) • Robotics & ROS 2 (optional but valuable)

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Robotics is getting its Raspberry Pi moment. This solves one of the biggest frictions in Physical AI: Everything has been fragmented. Different tools for control. Sensors. Calibration. Learning. Now it’s one unified stack: • motor control to VLA models in one system • built for real hardware, not just simulation -> norma_core_dev just entered PUBLIC ALPHA. The real unlock is ElRobot: • 7+1 DOF arm • fully 3D printable • ~220$ cost • ships with CAD, URDF, full build guide Not a demo… Infrastructure. And the part most people will underestimate: auto-calibration for any robot No manual tuning. No trial and error. Just: code → hardware → working system That removes one of the biggest hidden bottlenecks in robotics. Which unlocks: • faster iteration • cheaper experiments • real-world data loops Exactly what Physical AI needs. We’re moving from: “Can we make it work?” to “How fast can we improve it?” Thank you so much for sharing, @ErickSky! 📍Repro: github.com/norma-core/nor… Credit: normacore.dev

Codexで強化学習 生き物つくってもうた。。

โอโห อห อค ยม

• • novemberท์ • • 💫❄️🫧🌫️ @bopomnovemb

5 months ago

ประกันสังคมก้าวหน้าต้องการให้ตัดงบทำปฏิทินปีละ 50-70 ล้านเอาไปเพิ่มสิทธิประโยชน์ด้านอื่นเช่นการทำฟันเป็นต้น พนัส ทุยล้วน : ลูกน้องผม 4 แสนคนไม่มีใครคิดแบบนั้น เขาอยากได้หมวก-ปฏิทิน ทุกวันนี้เขาก็ด่าแม่คนตัดว่าตัดทำไม

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