Plutonic Rainbows

For more complex editing, I have switched over to Claude Code, an agentic coding tool developed by Anthropic that integrates directly into your terminal, offering AI-powered assistance to enhance development workflows. Currently in beta as a research preview. At present, Claude Code uses claude-3-7-sonnet-20250219 by default.

• Claude Code can edit files, fix bugs, and refactor code across your entire codebase, providing explanations of architecture and logic in natural language.

• It handles routine tasks such as testing, linting, and interacting with version control systems like Git, including searching, merging, committing, and reviewing pull requests.

• The tool is capable of generating structured, multi-file code solutions, managing large codebases, and utilizing tools within intricate programming workflows.

So far, I have been impressed but the API is quite expensive.

Second album from Richie Culver due on Friday. This follow-up release builds on the limited-edition debut by offering a diverse mix of soundscapes. The record shifts seamlessly from the raw, intense noise assault of Army Crawl to the sparkling techno energy of Dream Pills, and it also delivers a robust warehouse vibe in Docker, reflecting the artist’s expertise as a DJ. The album’s most captivating moments are found in its central tracks, where Death Happens Here creates a sublime ambient tension that hints at transformative euphoria, while At Your Worst presents a rich, gothic ambient atmosphere. Overall, the album takes the listener on a compelling journey through varied electronic landscapes, blending intense energy with refined, immersive textures.

Recorded in the coastal town of Hvisten in southeastern Norway, Espen Friberg and Jenny Berger's debut collaborative full-length is a duet on Serge modular and pipe organ that lands somewhere between Kali Malone and BoC.

There's a familiarity to this one, and that's not a bad thing by any means. As soon as the first tones of Below A Layer Bend Aside emerge, there's a feeling of comfort from hearing a well-worn synth alongside the hum of an old church organ. Friberg and Berger think of the instruments as siblings and they're not wrong; they met when Berger contributed to Friberg's debut solo album Sun Soon and enjoyed the process so much that they decided to take it a step further, retreating to the Norwegian coast to take advantage of Hvisten's pipe organ. And although there are plenty of organ-electronic fusions out there right now, there's an undeniable warmth to this one that makes it attention worthy.

Harnessing the relationship between air and electricity, Friberg and Berger often obscure the instruments by blending them so thoroughly. On The Sun The Fog, the fluttering Serge tones follow the organ's breathy whine before the two instruments split apart majestically, the pipe organ scattering into dramatic folk phrases and the synth splintering to remind you what you're hearing. Even on Bright Colored Armor, where the Serge takes more of a traditional role, circling the kosmische canon with skipping, resonant sequences, the organ replies with majestic Jarre-esque compliments. And they reverse the roles on Sibling Horses Heart, with the organ playing synth-like sequences and the Serge accompanying it with quivering drones.

I have added new endpoints to the Flux templates to fully leverage Juggernaut Base Flux LoRA by RunDiffusion. This serves as a drop-in replacement for Flux [Dev], providing sharper details, richer colours, enhanced realism, and complete compatibility with all LoRAs.

I improved font optimisation on my blog by adding a pre-connect link to my fonts, which sped up font loading. I also preloaded the critical font subset to ensure quicker rendering of important content. Additionally, I simplified the @font-face declarations by removing unnecessary unicode ranges, which reduced HTTP requests. I considered using variable fonts or custom subsetting to further reduce file size.

I've added a function that displays the number of tokens used per query, separated clearly from the text output. Additionally, I compressed the CSS on the blog for improved performance.

Currently testing Tom Ford's Fucking Fabulous Parfum. This is a revitalised edition of the original which launched quite a few years back. Honestly, I really dislike the fragrance's name — I find it controversial simply for controversy's sake.

This long-awaited model is now rolling out to Plus users. I gained access about two hours after the announcement, which I’m quite pleased about. However, I’m concerned about the rate limit, which is reportedly set at 50 requests per week. I assume this restriction is due to the model’s extremely high operational costs.

I was having trouble with the suggestions list persisting on my screen even after I selected a suggested prompt, and my cursor kept losing focus on the text area. To solve this, I switched from using onClick to onMouseDown with e.preventDefault(), which prevents the text area from losing focus when I interact with the suggestions. Then, by using a small setTimeout to refocus on the text area, I ensured that the suggestions list disappears as soon as I choose an option, and my cursor remains in the right place to continue typing.

I’ve now built a solid framework for reinforcement learning from human feedback.

• Feedback Collection: I set up a FastAPI backend with endpoints for submitting feedback, refining prompts, and generating insights. This lets users provide valuable feedback that’s stored in a SQLite database.

• Data Management: I integrated SQLAlchemy to handle my SQLite database. The system automatically creates a new feedback.db if one doesn’t exist, giving me a clean slate when needed.

• Training Simulation: I created a script (rlhf_training.py) that retrieves the feedback data, processes it in a dummy training loop, and saves a model checkpoint. This simulates how I could fine-tune my model using the collected human feedback.

• Model Setup: I ensured my model is loaded with the correct number of labels (to match my feedback ratings) and can seamlessly integrate with both the feedback collection and training processes.

This framework sets the stage for continuous improvement. Now, as I gather more feedback, I can use this data to progressively refine and retrain my model.

Some other things happening today:

• A sample of Rosendo Mateu No 5 Elixir arrived. It's very unique.

• Made some small adjustments to Flux.1 [Dev] templates.

• Began reading The King In Yellow by Robert W. Chambers.

• Listened to the new MPU101 album.

I updated all my templates that support image generation to include a high-definition option, while retaining the legacy option because it is likely more cost-effective. The new high-resolution setting now outputs images at 1088×1920 pixels, regardless of whether the orientation is portrait or landscape.

For my Prompt Refiner application, I also added an SQL database to log user feedback ratings on prompts. My plan is to eventually incorporate Reinforcement Learning from Human Feedback (RLHF).