u/Jazzlike_Process_202 — reddlx

THORChain won't censor Lazarus but paused the whole network when they got hacked

THORChain got exploited May 15th, $10.8M drained across BTC, ETH, BSC, Base. Emergency shutdown, everything halted. RUNE dropped 14%, shorts piling in, funding rate on bydfi went deep negative.

But before this, Lazarus moved ~$1.75B through THORChain. Stolen from KelpDAO, an ETH restaking protocol, our ecosystem. Community flagged it, TRM Labs called them out, everyone asked them to pause. They answered: "We don't censor transactions, we're decentralized."

Then they lose their own money and suddenly the pause button works just fine.

So they can't play the decentralization card when other people's funds get stolen and then act centralized the second it's their bag on the line. That's not principles, that's just being selfish. So who's still buying the "decentralization" argument from protocols that only enforce rules when it's their own money at risk?

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u/Jazzlike_Process_202 — 9 hours ago

▲ 7 r/openrouter

$18 to $2 on the same agent run by not using opus for every step

Ran a 180 tool call browse and summarize agent on a long paper last weekend. Opus 4.7 for everything: about $18. After I routed the routine steps like search loops, summarization, and basic parsing to deepseek v4 and hunyuan hy3 preview while keeping opus only for the final synthesis pass, the total dropped to roughly $2. I was expecting noticeable quality loss on the routine parts but honestly could not tell the difference. OpenRouter rankings had the latter at #1 by tool call volume after its launch and in my mcp setup it handled every call cleanly. The hybrid reasoning modes helped too since I could keep most steps in no_think mode to save tokens.

Still reach for opus when debugging across unfamiliar codebases or anything that needs deep architectural reasoning, the cheaper models noticeably stumble there. But for the 80% of steps that are just calling a tool and parsing a result, paying frontier rates is hard to justify. For context the tencent cloud pricing on the model is about $0.18 per million input tokens.

reddit.com

u/Jazzlike_Process_202 — 2 days ago

▲ 1 r/coolgithubprojects

Same double-pendulum prompt, 6 models, one host renderer. Every panel diverges within seconds.

Sent the exact same system prompt and initial conditions to six models on OpenRouter, each one asked to write a JavaScript double pendulum simulator by implementing step, getInfo, and reset. The host drawer in public/workers/simulator-host.js reads info.theta1 and info.theta2 from every model's output and renders all six panels identically. The models never touch draw. So any visual difference between panels is a real physics difference.

Within about three seconds you can already see two of the panels swinging in opposite directions from the others. Turns out some models measure θ from the vertical pointing up and others measure it from the vertical pointing down, so the initial angle means different things to different simulators even though the number is the same. A couple panels start drifting energy upward after ten seconds or so, which you can spot because the pendulum gradually swings higher than it started. One model hit NaN propagation inside the worker almost immediately.

The generation contract in lib/prompt.ts is strict: output must be exactly one fenced code block, the first line inside must start with function createSimulator(, no imports, no exports, no DOM access, no draw. When a model truncates at SIMULATOR_MAX_TOKENS or the output fails to parse, the app feeds the error back into the same conversation as a user correction and the model patches its own code. The full transcript lands in generated-simulators/<slug>.trace.json alongside the cached .js file.

Built with Verdent over a weekend. The rendering runs in Web Workers with OffscreenCanvas, so all six panels stay smooth on the main thread. Hot code swap works through a setCode message to the worker since transferControlToOffscreen is a one shot call per canvas element. The whole thing is Physics Bench, MIT licensed, Next.js 16 and React 19 under the hood.

u/Jazzlike_Process_202 — 5 days ago

▲ 1 r/SunoAI

Turned 60 unreleased Suno songs into visual content after I learned to make AI music video clips in about 15 minutes

I have maybe 60 Suno songs I genuinely love. Synthwave, lo fi hip hop, a couple of weird ambient pieces. For months I've been posting them to YouTube with a still image and almost nobody clicks. The few who do leave within seconds.

In January I started messing with video. Grabbed stock footage, opened DaVinci Resolve, and immediately remembered why I dropped out of a film class in college. I have zero instinct for visual pacing. I'd spend an entire evening trying to get a scene transition to land on a beat drop and it would still feel slightly off. Made one passable 45 second clip for TikTok and didn't touch the project for weeks.

A few things pulled me back in. Tried a couple of text to video generators but the outputs never felt connected to the music, visuals just floating along while the track played underneath. Then I tried pasting a Suno link into Freebeat, picked a visual direction, tweaked two scenes in the storyboard it generated, and let it run. The whole thing took maybe 12 minutes for a 3 minute song.

Output wasn't perfect. One scene had a weird morphing thing with a character's hand, color palette shifted in a spot where I would have preferred consistency. But the rhythm sync was solid. Transitions hit on section changes, the energy of the visuals tracked the dynamics of the song.

Cut a vertical version for TikTok and it did better than anything I've posted before. Someone actually asked about the chord progression in the bridge. Has never happened on my audio only posts.

Worked through five more songs since. Synthwave looks great. Ambient is hit or miss, slower atmospheric pieces don't give the AI as many rhythmic cues. Five down, 55 to go.

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u/Jazzlike_Process_202 — 11 days ago