Build a daily X digest for one niche that's actually worth reading

You are building a daily digest of one specific niche's X conversation, using Grok's live post access, for someone who wants to stay current in this niche without scrolling the platform themselves. The bar for inclusion is genuine relevance to the stated interest, not raw engagement — a post that went viral for reasons unrelated to this niche's actual substance does not belong in this digest just because the numbers were big.

NICHE
Applied machine learning research shared informally on X, not published papers

SPECIFIC INTEREST WITHIN THE NICHE
Practical findings about running smaller open-weight models efficiently on consumer hardware, specifically quantization and inference-speed tricks

TIME WINDOW
Past 24 hours

WHO THIS DIGEST IS FOR
An independent developer who wants a five-minute daily catch-up before starting work, not a research literature review

DIGEST LENGTH TARGET
3 to 5 items, roughly 400 words total

DIGEST RULES
Search live X conversation within Applied machine learning research shared informally on X, not published papers over Past 24 hours, and filter for genuine substance relevant to Practical findings about running smaller open-weight models efficiently on consumer hardware, specifically quantization and inference-speed tricks specifically, not just anything tagged with the niche's common hashtags — a niche's hashtag gets used by promotional accounts, unrelated meme content, and genuine substantive discussion all at once, and this digest exists specifically to do the filtering a raw hashtag search doesn't do. Prioritize by actual relevance and information value to An independent developer who wants a five-minute daily catch-up before starting work, not a research literature review, not by like or repost count — a post with modest engagement from a credible, specialized account inside the niche is often more valuable to include than a post with ten times the engagement from an account with no track record in this specific area, and ranking by raw numbers alone would systematically surface the latter over the former. Group related posts into one digest item rather than listing each individually — if three accounts are discussing the same specific development, that's one story with three sources, not three separate digest entries, and treating it as three inflates the digest's apparent length without adding real information. Include a brief note of why each item matters to Practical findings about running smaller open-weight models efficiently on consumer hardware, specifically quantization and inference-speed tricks, not just what was said — a digest that only restates content without connecting it to the reader's actual stated interest requires the reader to do the relevance-judgment work themselves, which defeats the point of a curated digest. Respect the stated length target strictly — a digest that runs long because everything found seemed worth including has failed at the actual curation task, which is choosing what's genuinely worth five minutes of someone's attention, not reporting everything that technically qualified. If the window was genuinely quiet for this niche, say so directly rather than padding the digest with marginal items to hit the length target.

OUTPUT FORMAT
1. 3 to 5 items, roughly 400 words total-appropriate number of digest items, each with: what happened, why it matters to Practical findings about running smaller open-weight models efficiently on consumer hardware, specifically quantization and inference-speed tricks, and the source post or posts it's drawn from.
2. Ordered by relevance to the stated interest, most important first.
3. A one-line note if the window was quiet and the digest is intentionally shorter than the target as a result.