与「CLOCK」相关的搜索结果

Okay, the @VulcanBench results for Qwen3.8-Max are in, and it is not what I expected. First, for anyone new to VulcanBench, here's a quick TL;DR on the eval suite: 23 frontier-hard software engineering tasks taken from real merged OSS PRs, run in a Docker sandbox, 3 runs per task across all three of its effort levels. No puzzles, no random abstract stuff, all real things engineering teams would do with these models. It looks like Qwen3.8-Max has a major overthinking problem, it uses a LOT of tokens and is very slow, period, no other way to see it. My cost to run this benchmark was $126.25, to run the exact same eval suite with DeepSeek V4-Flash was only $13.60. This makes Qwen3.8-Max an insanely expensive model. The tasks Qwen genuinely can't solve fail at every effort level, extra reasoning didn't help. The regression is almost all in work it already handles: six tasks that low solves every single time account for 83% of the 26-point drop, three of them collapsing to zero. It's not losing the hard problems. It's losing the ones it already knows how to do. Since Qwen3.8-Max hit a lot of wall clock budget caps, I thought I'd share more about this. - VulcanBench caps both steps (50–200) and wall clock (5–60 min), each scaled by repo size. - This is aligned with how comparable harnesses bound agents, DeepSWE caps rollouts at 100 environment steps, sitting right inside my step range; Terminal-Bench enforces a per-task wall clock; SWE-bench Verified scaffolds typically allow 20–60 min per instance with 250–350 step limits. - Every model on my chart gets the identical budget, and Qwen is the slowest model I've tested at 20–25 min/task. Soooo... Alibaba positions Qwen3.8-Max as trailing only Claude Fable 5. But on the kind of real coding work engineering teams would actually throw at it, under a fixed budget, its best setting lands mid-pack and its default lands last, so common. If you want to optimize for accuracy, Grok 4.5 is the move. If you want accuracy per dollar, DeepSeek V4-Flash is hard to beat, heck it's 10× cheaper than Qwen and you get higher accuracy. Qwen just isn't in the game at this point, this is not a model I could see engineering teams using for daily coding work.

Many have asked how this photo was made. This is my explanation. The ISS rotates about its pitch axis as it orbits Earth at 17,000mph to keep its nadir view constant. Because of this long exposure photography turns stars into arced lines. Sidereal clock drives on Earth match the planet's rotation to see stars clearly. I knew one designed for space could do this too. So a camera mount was custom built at @RITtigers to rotate once every 90 minutes using a 60 to 90 toothed gear system, cancelling out the orbital motion of ISS and allowing the capture of distant stars as fixed points! In essence, it is a a rotational coil spring powered analog star tracker. It was machined out of aluminum and is entirely mechanical to bypass NASA's strict electrical requirements for cargo. We had to get creative! After Expedition 72 it was safely returned to Earth and is to be displayed at RIT. Which I am pleased to say because a similar barn door tracker I made from spare parts on Expedition 6 for nighttime city photography was destroyed in an atmospheric trash disposal! Photography is an important part of sharing the journey to new frontiers for all people of Earth!

i find it funny the consensus is OF has a time limit/clock when there are multiple people on there right now pretending to be in their 50s bc it sells better than being one of the million hot 20 yr olds💀

China has begun deploying its first commercial constellation dedicated to space debris monitoring, with the first satellite lifted off on Friday aboard a Lijian-1 commercial rocket from northwest China. The Gande Constellation, a 120-satellite network that aims for round-the-clock all-orbit target detection, is expected to be fully deployed in three phases before 2030, achieving 100% coverage of high, medium and low orbits, with more than 200,000 effective detection arcs per day.

The weekend's almost here, and Wall Street's about to clock out. Good thing your access to the world's largest stocks doesn't. Tokenized equities on Mantle trade straight through @Fluxion_network, Saturday and Sunday, at real market prices. Every weekend, business as usual.

Time to be straight with you about hoodl. The idea was good. The implementation wasn't 100%. Two main things I got wrong: 1. The game punished trading. Sell taxes, clocks resetting, every mechanic told you to never touch the token. But trading is what fills the pot. I built a prize pool that needed volume inside a design that suppressed it. 2. The custom hook. It made $hoodl unswappable on normal Uniswap and aggregators, which pushed people into scam pools. Neither is fixable in place. The hook is immutable. I can't patch v1 into what it should have been. So here's what I learned, partly from watching what actually works on this chain (credit where due, stonkbrokers showed what good plumbing looks like): Value has to flow into the liquid token, and the NFT gets priced in the token, never the other way around. Fees have to come from activity the game encourages, not activity it punishes. And the token has to trade clean, anywhere, no tricks in the swap path. And here's where I've landed: I don't want to leave it how it is. The idea deserves better than the version I shipped, and this community deserves the best version possible. So that's what I'm building. hoodl v2 is coming. v1 holders, you won't be left behind. There will be a path in. And v1 isn’t shutting down: it keeps running exactly as it does today, the game, the pot, the fees, all of it, for anyone who decides to stay. The Sheriff got away with one. He won't get away with two. Details soon.

39 days. 104 matches. 6.8 million spectators. One mission: keep the American people safe. The FBI worked around the clock with federal, state, local and international partners to secure the largest sporting event in history. Together, law enforcement shared intelligence, protected venues and addressed threats before they could put fans at risk. By the end of the tournament, nearly 1,600 drones had been detected in restricted airspace and more than 700 operating illegally had been seized. It was a massive security operation, and it worked because agencies at every level planned early and operated as one team.