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Two modes: • LC-350M-light — stutters, fillers, light grammar. Keeps your wording. • LC-350M-smart — course-correction (&quot;bag no not bag, my phone&quot; → &quot;my phone&quot;) Base: LiquidAI LFM2.5-350M · Apple Silicon / MLX 4-bit Built for MacWispr-style dictation polish (not a general chat model). light → https://huggingface.co/vasant","created_at":"2026-07-12T02:35:01Z","url":"https://x.com/vasanth_sreeram/status/2076133197025624197","is_retweet":false},{"id":"2076133028368458062","text":"How LC-350M was trained (short version): Goal: raw ASR mess → clean typed text. No summary. No &quot;as an AI&quot; refusals. 1) Data mix • Synthetic spoken mess (stutters, ums, false starts, ASR-ish typos) • Course-correction pairs (&quot;X no not X, Y&quot;) • Teacher-cleaned real dictation history for domain match 2) Train on Apple Silicon • Base: LiquidAI LFM2.5-350M (MLX 4-bit) • Method: LoRA (fast iterate, fits unified memory) • Fuse adapter → full MLX weights for HF 3) Two adapters on pur","created_at":"2026-07-12T02:34:21Z","url":"https://x.com/vasanth_sreeram/status/2076133028368458062","is_retweet":false},{"id":"2076130827218661530","text":"I&apos;m building MacWispr in public. Free, local voice dictation for Mac — on-device, not another cloud queue. Why: I got tired of paying monthly rent for something that should feel instant on Apple Silicon. Not a polished &quot;launch day&quot; yet (notarization still in progress). This week I&apos;m sharing the path: models → transcription → UI/UX → what&apos;s next. 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Every new set of model releases enables more people to do more difficult things with more levels of success. CompressionBench is in order.","created_at":"2026-07-10T16:01:35Z","url":"https://x.com/vasanth_sreeram/status/2075611398755786993","is_retweet":true},{"id":"2075775316933701875","text":"Wow this actually not bad the mem bandwidth is around same as dgx spark, the compute isn’t mentioned here but for the price of spark u can get 192GB ram pretty solid","created_at":"2026-07-11T02:52:56Z","url":"https://x.com/vasanth_sreeram/status/2075775316933701875","is_retweet":false},{"id":"2075753054280831365","text":"RT by @vasanth_sreeram: If solar power in space is harnessed for useful work at scale, the value of that will far exceed the Earth economy, because all of Earth civilization uses much less than a trillionth of our Sun’s power","created_at":"2026-07-11T01:24:28Z","url":"https://x.com/vasanth_sreeram/status/2075753054280831365","is_retweet":true},{"id":"2075771571722149984","text":"RT by @vasanth_sreeram: Everybody, I did it.","created_at":"2026-07-11T02:38:03Z","url":"https://x.com/vasanth_sreeram/status/2075771571722149984","is_retweet":true},{"id":"2075218444056707458","text":"RT by @vasanth_sreeram: (1) Today we&apos;re releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It&apos;s available through our new Meta Model API and in Meta AI.","created_at":"2026-07-09T14:00:07Z","url":"https://x.com/vasanth_sreeram/status/2075218444056707458","is_retweet":true},{"id":"2075772487414231303","text":"You guys should really have your own inference cloud, free models can’t be used for production due to reliability and speed. 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