AI agents typically fail because the architecture is unclear, not because the model is weak.
In this handbook, Tiago teaches you how to build agents with reliable planning, memory, tool use, and bounded execution loops.
Along the way you’ll learn practical patterns for creating agents that stay stable in production.
https://t.co/SuaZbTnMrR
New Uncensored Qwen-Image-2.1 SoTA image model & you can run locally at home (Q4_K_M is 4.29 GB)
- Open weights yesterday, Uncensored overnight
- refusal layer removed
- edit with up to 10 reference images
- native transparency (stickers, cutouts, no extra mask step)
- ComfyUI + city96 GGUF loader.
PCB: 135 parts, 514 pads, 4 layers. I designed almost none of it.
An AI harness in VS Code calculated every part, read every datasheet, drew the schematic, checked its own work.
What would you build if the next board cost an afternoon?
Why has Frequency Modulation (FM) remained a cornerstone of radio technology for nearly a century?
While Amplitude Modulation (AM) varies the signal's strength, Frequency Modulation (FM) varies the instantaneous frequency of the carrier signal in line with the modulating audio/data signal.
Engineers favour FM across broadcasting, two-way radio, and wireless communication for several distinct advantages:
🔹 High Noise Resilience: Signal interference and atmospheric static typically manifest as amplitude variations. Because FM receivers process frequency shifts—ignoring amplitude fluctuations—they deliver significantly clearer, high-fidelity audio.
🔹 Transmitter Efficiency: FM modulation can be applied at a low-power stage. RF power amplifiers don't require high linearity to amplify FM signals, enabling the use of high-efficiency non-linear amplifiers that extend battery life in portable transceivers.
🔹 Dynamic Range Flexibility:
• Wideband FM (WBFM): Uses larger frequency deviations (e.g., ±75 kHz) for pristine sound in broadcasting.
• Narrowband FM (NBFM): Uses smaller deviations (e.g., ±3 kHz) to conserve spectrum in two-way mobile communications.
Historical Fun Fact: When pioneer Edwin Armstrong first proposed FM in the late 1920s to combat static, he went against the popular trend of narrowing bandwidth—instead choosing to expand it. His breakthrough paved the way for modern VHF broadcasting!
Check out more information in the comments.
#RFEngineering #Electronics #WirelessCommunications #RadioFrequency #Engineering #Telecommunications #RF
MachiKania type PU miniのプリント基板の増産をJLCPCBに発注完了。特別割引はデスクトップアプリが必須になったようなのでインストール実施。クーポンがあったのでずいぶんと安く上がった。10/3-10/4の #NT東京 2026で販売す���のでよかったらおいでください。
(写真は組み立て完成したものです。)
Lyapunov proved in 1892 that you never need to solve a differential equation to know if a system will stabilize. Find one function that behaves like energy — positive everywhere, zero at equilibrium — and if it's always decreasing, the system is guaranteed to converge. No solution required.
The trick is that real energy often fails the test. A pendulum's kinetic energy hits zero at every moment of stillness, not just at rest — so it can't prove asymptotic stability alone. You need a generalized artificial energy with cross terms mixing position and velocity. The same Lyapunov stability analysis is what ML engineers run on neural network training dynamics to prove gradient descent actually converges instead of oscillating forever on GPU clusters.
16 minutes. Bookmark & watch today.