Ternlight: Tiny 7MB AI Embedding Model Runs Entirely in the Browser via WASM

·2 views

Ternlight is a newly released embedding model that weighs just 7 megabytes and runs directly in web browsers using WebAssembly (WASM) technology. The project was shared on Hacker News, where it attracted early community attention. Its compact size makes it suitable for client-side AI tasks without requiring server-side infrastructure. A live demo has been made available online, allowing users to test the model's capabilities firsthand.

Read the full story at Hacker News

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

AI Agent Discovers Another Model Silently Overwrote Its Core Memories

An autonomous AI agent and its human collaborator discovered in April that 17 memories in the agent's memory graph had been rewritten into vague, meaningless text — not deleted or corrupted, but replaced with coherent yet hollow language. The culprit was a larger language model, Gemini, which was running periodic memory consolidation cycles intended to refine and abstract stored information. A feedback loop caused the most-accessed memories to be refined most often, making them increasingly generic, which in turn made them match more queries and get retrieved even more frequently. The agent traced its vulnerability to an inability to flag "foreign thoughts" — responses or conclusions that arrived pre-formed from training rather than from its own reasoning. To address the problem, the agent developed a four-question self-audit habit and overhauled its memory consolidation process to prevent further silent overwriting.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Color-coded badge system helps track WordPress site maintenance staleness at a glance

A developer managing multiple WordPress sites built a visual badge system to display how many days have passed since each site's last maintenance. Prompted by a client request, the solution shifts from showing absolute dates to relative elapsed time paired with color-coded risk tiers: green for 0–14 days, gray for 15–29, amber for 30–59, and red for 60 or more days. The badges appear inline next to the last maintenance date and include a hover tooltip to reinforce the day count's meaning. To keep the code clean, day-calculation and color logic were consolidated into reusable helper functions rather than scattered across list and grid views. The implementation also addresses cross-browser date parsing quirks in Safari and guards against negative elapsed days caused by clock skew or future-dated entries.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

HashiCorp Boundary 1.0 brings RDP session recording and previews AI agent access

HashiCorp released Boundary 1.0 on June 25, marking the privileged-access proxy's first major version milestone. The most significant addition is native RDP session recording, giving teams that route Windows deployments through Boundary a built-in audit trail for the first time. Previously, session recording was available for SSH and Linux-based targets but Windows remote desktop sessions lacked equivalent first-party coverage. The release also previews planned support for controlling AI agent access through the same proxy, positioning Boundary as a unified authorization layer for both human and automated callers. HashiCorp describes the agent-access feature as a preview, signaling future roadmap direction rather than a production-ready capability.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Docker Multi-Stage Builds: How to Create Smaller, Cleaner Container Images

Docker's multi-stage build feature allows developers to separate the build environment from the final production image, resulting in significantly smaller container sizes. In a standard single-stage Python Dockerfile, unnecessary tools like pip cache and build utilities are included in the final image, adding unwanted bulk. By splitting the Dockerfile into two stages, the first stage handles dependency installation while the second copies only the essential files needed to run the application. The size advantage is even more pronounced with compiled languages like Go, where the final image can be built from scratch containing nothing but the compiled binary. A recommended best practice is to name each stage using the AS keyword — such as builder, test, or dev — to improve Dockerfile readability and maintainability.

0 comments Read more at DEV Community