Where #AI #context really shines is brevity. Its as if you are hand in glove with a co-worker who is totally in sync with you.E.g: Today, mids session all I had to type as a prompt was "Ports? NginX?" just two words instead of typing long prompts or precise Google search. The #LLM knew exactly where we were in context space and gave me exactly what I wanted.Two.Words.

#nvidia announced Space-1 vera rubin configurations for space based inference engines.While the wood folk are cackling at the impossibility of orbital data centres, NVIDIA is built racks....and there are already 6 companies wanting the product.https://www.datacenterdynamics.com/en/news/nvidia-announces-space-compute-modules-including-vera-rubin/#llm #spaceai #ai

The very, uh, special find of the day. Looking at the bright side: This is going to advance jurisdiction if real and employed enough https://malus.sh/However, something tells me that this is clearly the equivalent hoax grade of klausprogrammieren...#llm #ai #foss #compliance #hoax #notsureiftrolling

I would like to thank the nascent "AI" industry for their significant contributions to all manner of artistic and creative endeavours in today's society: writing, coding, art, music, and everything else. [1]Because they have single-handedly created entire new markets for all of these things - new categories such as "writing with guaranteed no AI", "coding with guaranteed no AI", "art with guaranteed no AI", "music with guaranteed no AI", etc. Without them, these whole classes of creative output would simply not exist.[1] They are also innovating in the world of financial and investor fraud, but I'm not considering those areas in this post.#AI #LLM #GenerativeAI #slop #NoAI #artistic #creative #GTFO #fraud #InvestorFraud #CoPilot #ChatGPT #ClaudeCode

----------------️ Tool: Backgammon Teacher===================Backgammon Teacher is a teaching-focused web application built with SvelteKit that integrates GNU Backgammon (gnubg) as the authoritative analysis engine and an LLM layer (Claude or GPT-4) for human-readable explanations. The project exposes position review and full-game play modes, a configurable blunder detection mechanism based on equity thresholds, and a structured feature-extraction subsystem that reports pip counts, blots, primes, anchors and other interpretable position characteristics.Architecture and components• Board and rules: The app maintains a board representation, move generation and rule enforcement in a dedicated backgammon module.• Analysis adapter: GNU Backgammon is invoked as the analysis authority; its output is parsed and normalized by an analysis adapter for downstream use.• Feature extraction: A features layer derives structured descriptors (pip counts, primes, anchors, blots, and similar metrics) intended to feed the explanation layer and to provide interpretable signals for blunder classification.• LLM explanation layer: An abstraction supports multiple LLM providers (Anthropic/Claude, company OpenAI/GPT-4, or a mock provider) to generate natural-language coaching tied to extracted features rather than inventing facts.• Game and API surfaces: Game state management, computer move generation, blunder classification and several API endpoints (position analysis, explain, computer-move, game management) are defined to separate UI from server-side logic.Functional modes• Teaching Review mode focuses on loading positions, running gnubg analysis, extracting structured features and producing LLM explanations when user-defined equity thresholds classify moves as blunders.• Play vs Computer mode enables full games where every move is analyzed post-play and flagged/explained if it crosses the configured blunder threshold.Technical notes and limitationsThe design treats GNU Backgammon as the single source of move strength and relies on deterministic feature extraction to keep LLM outputs grounded. The system depends on an external engine (gnubg) and LLM provider availability; the explanation quality is constrained by the fidelity of extracted features and the chosen LLM provider. #BackgammonTeacher #gnubg #SvelteKit #LLM #analysis Source: https://github.com/yairwein/backgammon-teacher