Siddharth Jain

Created the Mario theme melody using nothing but sine waves and a frequency equation. Here's how i did it. • Took the Mario melody’s notes and rhythm. • Converted each note into a frequency: f(n) = 440 × 2^((n−69)/12). • Added sine waves at odd harmonics to create the chiptune tone. • Gave each note a short fade-in and fade-out to reduce clicks. • Scheduled the notes and rests to recreate the melody. • Generated 48,000 audio samples per second ie. the audio was sampled at fs = 48KHz. • Slowed the rhythm without changing pitch just for fun. The equations synthesized the sound. and viola! we have Super Mario bros. theme music

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GPT 6.1 sol extra high vs 6.1 Terra Extra HIgh Sol got one iteration. Terra got five. Same V8 engine task. Same Codex harness. Both on Extra High reasoning. MODEL TIME · EST. COST · TOTAL TOKENS • GPT-6.1 Sol: 18m 51s · $1.21 · 5.66M • GPT-6.1 Terra: 13m 05s · $1.01 · 10.13M Terra used: ↓ 17% less estimated cost ↓ 31% less model time ↑ 79% more processed tokens CHECKS ✓ All five Terra versions preserved ✓ Rod-length checks: both passed ✓ Matched front, top and side views ✓ Dismantling and reassembly shown ✓ JavaScript exceptions during capture: 0 VISUAL DETAIL — my assessment Sol: detailed original build Terra: schematic → substantially more detailed Top: Terra. Bottom: Sol. Final result first, then every iteration. Tokens include cached context. Costs are model-only API estimates; reviewer effort, waiting and video production are excluded. Did the feedback close the gap?

Unslopping my brain day 02😆 Getting close to my next star. With Ai doing 90 percent of your office work ig its important to remove the webs out. I have started to like codechef interface more than codeforces.

Same V8 engine prompt. Three AI models same harness. GPT-6.1 Sol vs GPT-6 Astra vs GPT-6.1 Terra. All on High reasoning. BUILD TIME · EST. COST · BUILD SIZE • Sol: 18m 51s · $1.21 · 0.59 MB • Astra: 29m 23s · $5.51 · 0.57 MB • Terra: 4m 47s · $0.28 · 2.06 MB FUNCTIONAL CHECKS ✓ Full 30-second sequence: 3/3 completed ✓ Rod-length checks: 3/3 passed ✓ Pause/resume: 3/3 passed ✓ Follow-up prompts needed: 0 ✓ JavaScript exceptions during capture: 0 VISUAL DETAIL — my assessment Sol: detailed Astra: detailed Terra: schematic Top: Sol. Middle: Astra. Bottom: Terra. Costs are API-equivalent estimates. Build sizes are uncompressed. Which one would you ship?

I prompted GPT-6.1 Sol, GPT-6 Astra and GPT-6.1 Terra to build a 3D rocket launch and landing in the browser. Model Comparison: All three used High reasoning. All three reached touchdown. • Sol: 11m 10s · $1.32 • Astra: 12m 05s · $5.83 • Terra: 9m 30s · $0.28 Terra finished fastest and cheapest, but delivered simpler visuals and less extensive testing. Costs are API equivalent estimates as i used codex and not my Codex bill. Top: Sol. Middle: Astra. Bottom: Terra. Which one actually looks worth the extra time and money?

If you're in tech, let's connect! 🤝 I'm mostly interested in: 🤖 AI & Machine Learning 🎙️ Audio AI & Speech Tech 💻 Software Engineering & Backend Systems 🧠 DSA & Competitive Programming 🚀 Building projects & sharing what I learn By day, I work as an Audio ML Engineer at a startup. Outside work, I love building side projects, exploring new technologies, and sharing my learning journey. Let's connect with like minded builders, engineers, and curious minds! 🚀

was x down for everyone ? or is it just me?

Since this post a lot has changed. I have made a lot of friends in a very less time, people highly active in AI Engineering learning and developing harnesses and its engineering, Devops and systems side of things. Machine Learning Audio Engineering Inference Engineering Lot of cool spaces to be in right now. Would want to connect with loads of more people. Haha , enough yap lets larp together :)

Hedwig's Theme from Harry Potter. Created using Sine wave and notes being played at diff frequencies. Motion graphs using 6.1 sol High , used mere 10 percent of my 5hr quota.