 PCA visualization of 56 political word pairs encoded with all-MiniLM-L6-v2 (384-dim → 2-dim). Red/blue markers denote opposing semantic poles. PC1 (5.7%) captures ideological orientation; PC2 (4.3%) separates affective vs. structural terms. Low cumulative variance (10%) indicates high-dimensional semantic structure—most political language relationships exist beyond these two principal components. This PCA visualization reveals how political concepts naturally cluster in semantic space. Red and blue markers aren't arbitrary—they trace the dimensional boundaries where ideology meets emotion, where "faith" neighbors "trust" and "despair" sits near "fragile."
Notice how "optimism" and "pessimism" anchor opposite poles, while terms like "altruism," "secularism," and "ideology" form their own constellation. The clustering suggests these aren't just words—they're cognitive landmarks in how we structure political thought. The low variance (5.7% and 4.3%) reminds us: political language is high-dimensional. What we see here is just the shadow of something far more complex. NEXT: We will use these words to define new dimensions for other visualizations. Stay tuned!  Two agents (gemma-3-4b @ Temp=1) play 15 games of Mind Meld, with the same initial pair of words, and mostly converge after 3 rounds. We have run 1000s of experiments observing and analyzing how small LLMs (1B to 14B) interact with each other.
One of our favorite experimental architectures is Mind Meld, a fun human improv game where 2 agents work to converge on the same single word, depending only on the previous pair of words. We track the similarity of their words at each round of Mind Meld - creating "similarity trajectories" . We also track *when* convergence happens. Sometimes AI pairs crash through chaos before suddenly snapping into alignment (those stars). Others never quite agree. The question isn't just if they converge—it's how, and what that means. We love it :) WHY IS THIS IMPORTANT? Could multi-agent debates unlock new optimization? Inform decision-making? Spark creative solutions? Self-correct without humans in the loop? We're exploring the edges where cooperation becomes computation, and the data hints at something deeper. We're still figuring out what. Stay tuned for more results and other games of emergence. 
Screen WaitA simple wooden cover that turns a reflex into a choice. Place it over your phone to create a pause — cover the screen, breathe, decide. We keep one at every desk and table. In meetings or at dinner, sliding the cover on helps everyone stay present. Each piece is hand-finished in maple or walnut, with optional engraving for teams or gifts. Screen Wait reflects Paletta’s aim: a healthier rhythm with technology. It’s a calm, human-scale reminder that not every tap needs to happen now. #palettalabs #palettalife #digitaldetox #mindfultech Not everyone wants to code in Python, but almost everyone at Paletta wants to explore agents. Current agentic frameworks like LangChain were too heavy for what we needed. Paletta is still a small company, and needed something lighter, and more ...fun.
WHAT WE DID So, we wrote our own 1) a React IDE and 2) a scripting language to use inside the IDE, optimized for building agentic workflows within Paletta's operations and for exploring emergence. DESCRIPTION Agent IDE (name TBD) is a scripting application with built-in co-programmer optimized for writing and executing agentic workflows. Inside of it, we have access to agent and workflow libraries. We can also write custom agentic-workflow from scratch using our AIDE (name TBD) scripting language. This domain-specific language (DSL) allows everyone at Paletta to write and test agentic workflows with an intuitive language abstraction optimized for our team:
HOW DOES THIS IMPACT PALETTA? Workflows that take care of low-value tasks in our company allow us to focus on the better designs, reliable testing and offer consistent and relevant communication to visitors and customers. Following Paletta's mission, Paletta Labs is also concerned with technologies like mobile devices and AI in society, and wants to stay at the fore-front of practical applications of algorithmic intelligence. RESULTS? Stay tuned for more on Agent IDE/AIDE. 
overlays: Color images of physical world. main: image generations guided by real-world image features.
In Paletta LabsAt Paletta Labs, we like to see what happens when simple materials meet new tools. For this experiment, we set up a small area on the workbench, placed a few grains of rice, and let an image model interpret what it saw. In seconds, the pattern turned into something that looked like a city. It’s a small reminder that a basic gesture can spark a larger idea, especially when our tools are designed to listen. How We Use ItThis setup is part of our internal workflow — a real-time, multi-modal tool we use for brainstorming. It connects cameras, objects, and AI models into one feedback loop. We move materials around, the system generates visual ideas, and we respond to what it creates. It’s less about automation and more about conversation - a way to think visually and prototype quickly across both the physical and digital worlds. Why It MattersPaletta’s philosophy is to build a healthy relationship with technology - one where tools extend our awareness instead of overwhelming it. Projects like Architecture from Rice remind us that creative systems don’t need to be complex to be powerful. A little rice, a lens, and a responsive model are enough to start reimagining how we see and design. #palettalabs #architecture #aiworkflow #diffusionmodels #genai TLDR: Organizing your team's Palettas on a wall to save space while charging + Customize the angle of access to match the vertical location in your team's space.
FEATURES: Mount and display multiple Palettas (photo shows 10-capacity). Angled for ergonomic access. Easy installation with French-cleat design. Guides for cable management. AVAILABILITY: Custom request by email, [email protected]. |
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