marwa kiani@marwa_kiani17

AI Crossover Point speeds up large language model text generation without changing a single word of the output. Normally, a big accurate model writes one word at a time, which is slow. Here, a small 0.5B "draft" model quickly guesses the next few words, and the big 7B model checks all the guesses in one single pass, keeping whichever ones it agrees with. Because the big model always has the final say, the output stays mathematically identical to plain generation — we proved this across 2,520 test runs, with 96.7% byte-identical and zero decoder bugs found. How well this works depends almost entirely on what kind of text is being written — highly structured output (JSON, code, math) is very guessable, free-form prose barely at all — and the best number of words to guess ahead changes constantly, even within one answer. So we built a controller that measures the hit rate live and tunes itself, and we measured the whole effect across six content types on consumer hardware (one RTX 3060), which is exactly the hardware where this trick matters most. We also report an honest negative result: the live auto-tuner didn't beat a simple fixed setting, and we explain why. The project includes a full interactive website with a live demo, an animated explainer, and a results dashboard, all reading real measured data — not typed-in numbers.

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🌎 Hybrid Hackathon | 💻 Online Build: 3–8 November 2026 | On-site Phase: 8 November 2026 📍 On-site Venue: Pierpont Place 163 W Pierpont Ave, Salt Lake City, UT 84101, USA ✨ Please note that travel and accommodation are not covered.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.