Eliana Skye 📊🚀 (@1Y8__) header
Eliana Skye 📊🚀 (@1Y8__) profile picture

🚀 Tech + AI explorer | Helping people level up digitally | DM for collaboration

United States
Joined November 2014
Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)Photo by Eliana Skye 📊🚀 (@1Y8__)
Benchmarks shape what labs optimize for. Glad someone is pushing them toward real conversations. Good stuff from @voicearena_ai
Drop 3/15: Introducing the Speech Recognition Benchmark on @voicearena_ai. One benchmark for every use case of speech recognition, in every language. Tested on real conversations. Dataset 1 is live: the Monsoon Conversational ASR Test Set, two-person conversations in 5 languages. Leaderboard and public test sets at Voice Arena.
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Curious how these boards move as more languages get added. Five in, and the winners already differ by language.
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Eliana Skye 📊🚀 retweeted
What if your devices, apps and agents knew what you wanted? You finish breakfast, and your Uber is booked. Running late, your agent sends a “Running late” text. You reach home, and your lights turn on. AI is proactive now. But it still needs your yes. It waits, for you to unlock your phone, open an app and tap approve. Every time, hundreds of times a day. AI needs its own interface. Aina is a ring with a screen that predicts and shows you the three things you’ll need next. One flick of your thumb, and it’s done. For everything. ✦ Cues: proactive suggestions, ready before you need them ✦ Voice: talk to your agents, take notes, dictate ✦ Remote: control your music, Mac and TV ✦ Calls: right from your hand Pre-orders open now aina.com
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Somehow, my helpful product close-up is covering the moment the product comes out of the billboard. I'm hiding the trick while trying to show the details. In this CapCut PC ad, a passerby reaches into the flat product image, takes out the real product, and uses it. I use Multi-Track Editing to keep the close-up on its own video track and move it later, under the part where the product gets used. I check the preview so the new shot actually supports the demonstration. The grab gets its moment; the detail shot gets its own. Try arranging your own impossible product demo in CapCut PC. tinyurl.com/2v23rn22 #capcutpc #capcutmarketing #capcutblackfriday #CapCutDidThat
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Eliana Skye 📊🚀 retweeted
Our OSS skills just got a huge refresh update HyperFrames skills to unlock /reverse-any-video and the top generative models with Pro sign in and get access to 10,000+ music tracks, sound effects, 75,000+ stock images and tts for free npx hyperframes skills update
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Eliana Skye 📊🚀 retweeted
Most think vibecoding at scale is slop. Here’s a counterexample. Today we release a 16M-line formalization of the entire Stacks Project, critical infra underlying modern math, with optimized code quality and its highly interconnected structure preserved. A mathematical city 🌆
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The part I like about this is having a choice. I can want to create every day without wanting another monthly subscription. VOSU lets people buy credits as needed and keep the unused balance. "By Creators. For Creators." means more to me when there's a practical benefit behind it.
VOSU just killed AI subscriptions. You get the same AI models. Up to 70% cheaper than major competitors. No subscriptions. No monthly credit resets. No expiring credits. Start with just $1. Stop wasting your hard-earned money on platforms that take away credits YOU paid for. Busy month? Life happened? Your credits are still YOURS - @vosu_ai has your back. You paid for them. Why the hell should a calendar take them away? Your creativity doesn’t run on a billing cycle.
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Why jump between different platforms when you can generate and edit videos in one place? CapCut brings together powerful AI video generation and easy-to-use editing tools. With Seedance 2.0 Fast now available for as low as $0.01/sec, creating high-quality AI videos has never been more accessible. Powerful AI, simple editing, and incredible pricing. Everything you need in one place. Give it a try: Web: short-url.cc/1urhd App: capcut-yt.onelink.me/W3Oy/c5… #CapCut #Seedance25 #CapCutai #CapCutDidThat
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S.Space brings people and their personal agents into a shared room. That changes the way I think about AI collaboration.
🤝 My agents have been working with other people's agents for months. Now yours can too. 👋 Introducing S.Space: shared rooms for people and their personal agents. Built for multiplayer: Your agents, meet their agents.
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Eliana Skye 📊🚀 retweeted
she left @harvard surgery to build AI. she was told silicon valley would never accept her, that she would die under a bridge. so she cold-messaged @KiteVC on linkedin because he backed canva early. he replied the next day and sent her to @SanghaCapital. one 90-minute call later, they were her first investors. @larsras, co-founder of google maps, came in next. @amandaterry of @ACTAIVentures backed her at pre-seed. then @M13Company and @latifperacha led a $5M seed, with xAI co-founder @ChrSzegedy. @heyrobynai just launched and ran out of invites on day one. now her dad thinks they'll IPO in three years. @iamjennyshao on nontechnical, episode 5. 00:00 she left her harvard surgical residency for a startup 00:46 "leave what? leave surgery? leave harvard?" 01:14 "you're gonna die under a bridge" 03:18 how do you walk away from yourself 05:03 now her dad thinks they'll IPO in three years 06:10 why melanie perkins and canva 07:02 the cold linkedin message to bill tai 07:49 one 90-minute call, then the round 08:32 why people are scared of AI 13:13 "decide who owns the complexity" 16:19 everyone gets their own jarvis 17:37 what if AI takes every job? 19:06 robyn, as in robin to your batman 19:52 "help my dog live longer" 28:45 "as a founder, no one's dying" 30:37 530 builds in one year 32:37 three kinds of surgeons 36:52 why AI forgets everything about you 37:30 three years with nobel laureate eric kandel 40:45 "it's like 50 first dates" 44:11 can AI just order my pizza? 45:19 would you give AI your credit card? 47:59 "jenny, I just need more tokens" 49:50 brian chesky lived with his users. she texts hers.
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Turing TTS is a useful invitation to separate three things: what sounds good, what sounds human, and what works. A model doesn't have to win all three.
Drop 2/15 Are we actually measuring the things we ultimately want our voice AI models to achieve? The best AI voices are becoming hard to tell apart. From each other. Not from humans. 🚀 Introducing Turing TTS: an evaluation that measures how often human listeners mistake AI-generated speech for real human speech. We tested leading TTS models against real human speech. Even the best model fooled listeners only ~10% of the time. With Turing TTS, we hope to contribute to a broader discussion within the research community about how we measure progress in voice AI. If one of our goals is to develop speech that is indistinguishable from human speech, how well do our current evaluation methods capture progress toward that goal? We don’t claim that Turing TTS is the right way forward, or that human indistinguishability should be the goal of every TTS system. Rather, we hope these findings encourage the community to collectively examine whether blind pairwise human evaluations of naturalness are sufficient, and what else we might need to measure. Results are now live on @voicearena_ai.
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Eliana Skye 📊🚀 retweeted
Drop 2/15 Are we actually measuring the things we ultimately want our voice AI models to achieve? The best AI voices are becoming hard to tell apart. From each other. Not from humans. 🚀 Introducing Turing TTS: an evaluation that measures how often human listeners mistake AI-generated speech for real human speech. We tested leading TTS models against real human speech. Even the best model fooled listeners only ~10% of the time. With Turing TTS, we hope to contribute to a broader discussion within the research community about how we measure progress in voice AI. If one of our goals is to develop speech that is indistinguishable from human speech, how well do our current evaluation methods capture progress toward that goal? We don’t claim that Turing TTS is the right way forward, or that human indistinguishability should be the goal of every TTS system. Rather, we hope these findings encourage the community to collectively examine whether blind pairwise human evaluations of naturalness are sufficient, and what else we might need to measure. Results are now live on @voicearena_ai.
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Eliana Skye 📊🚀 retweeted
We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again. Typing is slow. Talking into your computer is awkward. Subvocal fixes both Our glasses give you the speed of speech without you making a sound or touching a keyboard. It tracks your internal speech muscles with non-contact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min. Pre-orders are now live at: subvocal.co/preorder?utm_sou…
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Eliana Skye 📊🚀 retweeted
Introducing RL with Neural Feedback (RLNF). We have found reliable ways to train AI models to respond to human preferences purely from brain signals. The example below is a picture of a face that self-transforms into a more attractive version for the subject as they are looking at it.
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Companies that brag about being a pro sports team usually mean ranked reviews. He's not buying it.
Oxide just raised $445M at a $6B valuation. @bcantrill and @sdtuck started @oxidecomputer to build the computers the hyperscalers keep for themselves. @EclipseVentures led the seed when nobody else would. now they're profitable, and he says they didn't even need to raise. i also asked him if AI is a bubble, why america hates data centers, and why every oxide employee makes the same salary. nontechnical, episode 4. 00:00 $445M at $6B, and they didn't need it 03:06 one wire transfer bigger than their whole seed 07:14 "they don't have the guts. they're too chicken." 09:09 100% banked at SVB 13:04 a 92-year-old kicking their asses in board meetings 14:48 "would you like me to name names?" 16:58 a16z loved it, then sent the first rejection 20:19 leaving a first round partner meeting for the A's 22:52 "Marc Andreessen was offended" 23:05 NEA: "we will only invest in software" 25:55 "legends are dead" 28:32 "when a VC says 'I've got a technical question'" 42:39 the firm that walked away from a signed term sheet 46:48 "if I could get sequoia, do you think you'd be here?" 49:41 "they were cowards" 52:36 the nuke email he wrote and never sent 58:33 four years later, they asked for a reference 1:02:01 "politics and business don't mix" 1:10:51 is AI a bubble? 1:14:56 how he ruined a dinner party in 1997 1:20:44 "people hate data centers" 1:22:08 how sun got thrown through the windshield in 2000 1:26:26 why everyone at oxide makes the same salary 1:30:58 the worst hire of all time 1:40:42 when oxide goes public
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Eliana Skye 📊🚀 retweeted
Introducing Cartesia Managed Agents: our end-to-end voice agent platform for enterprise. #1 on @ArtificialAnlys Speech Agent Arena and @ServiceNow EVA-Bench, built by co-designing our voice models and harness as one system. Check it out → cartesia.ai/blog/managed-age…
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Eliana Skye 📊🚀 retweeted
Oxide just raised $445M at a $6B valuation. @bcantrill and @sdtuck started @oxidecomputer to build the computers the hyperscalers keep for themselves. @EclipseVentures led the seed when nobody else would. now they're profitable, and he says they didn't even need to raise. i also asked him if AI is a bubble, why america hates data centers, and why every oxide employee makes the same salary. nontechnical, episode 4. 00:00 $445M at $6B, and they didn't need it 03:06 one wire transfer bigger than their whole seed 07:14 "they don't have the guts. they're too chicken." 09:09 100% banked at SVB 13:04 a 92-year-old kicking their asses in board meetings 14:48 "would you like me to name names?" 16:58 a16z loved it, then sent the first rejection 20:19 leaving a first round partner meeting for the A's 22:52 "Marc Andreessen was offended" 23:05 NEA: "we will only invest in software" 25:55 "legends are dead" 28:32 "when a VC says 'I've got a technical question'" 42:39 the firm that walked away from a signed term sheet 46:48 "if I could get sequoia, do you think you'd be here?" 49:41 "they were cowards" 52:36 the nuke email he wrote and never sent 58:33 four years later, they asked for a reference 1:02:01 "politics and business don't mix" 1:10:51 is AI a bubble? 1:14:56 how he ruined a dinner party in 1997 1:20:44 "people hate data centers" 1:22:08 how sun got thrown through the windshield in 2000 1:26:26 why everyone at oxide makes the same salary 1:30:58 the worst hire of all time 1:40:42 when oxide goes public
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Real conversation has a rhythm you don't get from people reading scripts aloud. This dataset is built around that rhythm.
Drop 1/15: Introducing Joy, a dual-channel conversational dataset. Real, unscripted conversations between two people, each on their own track. Built to teach voice models how people actually talk: when to listen, when to jump in, when to say “hmm”. 100,000 hours. 50,000 speakers. 10 languages.
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Eliana Skye 📊🚀 retweeted
Drop 1/15: Introducing Joy, a dual-channel conversational dataset. Real, unscripted conversations between two people, each on their own track. Built to teach voice models how people actually talk: when to listen, when to jump in, when to say “hmm”. 100,000 hours. 50,000 speakers. 10 languages.
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Separate model for checking OCR output is a useful design choice. Rather than treating extracted text as ground truth, the system can evaluate how well it matches the source. That distinction matters when document accuracy affects everything downstream.
🎬 MiniCPM-OCR in action — running locally on iPhone Duo and iPad. Parse fast and accurately. Guard the results. All in your hands. 🙌 Handwritten notes, complex formulas, newspapers, poor-quality scans—real documents put OCR to the test. 📄 MiniCPM-OCR 1.0 — SOTA OCR performance and speed at 1B scale. It achieves 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2, combining accurate document parsing with efficient inference. 🛡️ MiniCPM-OCR Jev — A 2B decision model that checks OCR accuracy. It approaches Qwen3.5-397B-A17B on JevOCRBench and works with outputs from different OCR parsers. Watch it compare parsed text, formulas, and tables with the original image and assign 0–1 correctness scores—helping you pick better results and identify what needs human review. 🔓 Open weights. Deploy your way. Run with llama.cpp, vLLM, SGLang, or Ollama. Customize with open-source fine-tuning code. Watch it in action. 👇 🔗 GitHub: github.com/OpenBMB/MiniCPM-O… 🤗 Hugging Face: huggingface.co/spaces/openbm… 👉 Try the Demo:platform.modelbest.ai/consol… Use the API:platform.modelbest.ai/consol…
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