LO0

865 posts

LO0

LO0

@loopPoly

Cryptography researcher | SageMath Enhanced developer | Kimi CLI co-author | CTF Wiki contributor | Founder of 正规子群 | ex @Sider_AI @Kimi_Moonshot

Random Katılım Temmuz 2023
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LO0
LO0@loopPoly·
正规子群 aka Normal Subgroup Won the tenth place in CryptoCTF 2025 #CryptoCTF
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Josh
Josh@jjpcodes·
even codex doesn't like its own compaction and thinks it violates OpenAI's own prompting guidelines gg. (image 1) codex harness is still shitting up all the threads with a ton of conflicting language and harness-slop (image 2) back to pi we go. computer use + chrome + the UI + codex remote are not worth this horrible model performance. (okay maybe codex remote is worth it but still). OpenAI i am begging you: 1) PLEASE make the harness lean and mean. Don't vibe it so hard (we can tell). Get humans to read the actual prompts. 2) make the models less RL-fried 3) dogfood more like us plebs with real limits, non-internal models, and no magic skills etc that are off limits to everyone else
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Josh@jjpcodes

i'm kinda sick of 5.6 sol now honestly. yes it's a good model, no it doesn't help me ship as much software as it should. it feels too RL-fried and ends up in all these local minima where it just spins its wheels doing nothing, invents bullshit overly cautious procedures you didn't ask for, doesn't solve your problems, hyperfocuses on tiny details, adds theatrical bullshit like tests/ledgers/hashing/proofs/review loops to "ensure stuff works" (none of it works) and degrades context over long-running threads. 1/3rd of the time it can distil your intent kinda okay and keep it up for a few hours but it will eventually collapse into total slop cannon, no matter how much you steer it. the other 2/3rd of the time it will just misunderstand you and slop cannon. oh yeah and the limits are cooked and it burns 5x the tokens of 5.5 whilst you don't ship. bring on GPT 6.....

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Omar Sanseviero
Omar Sanseviero@osanseviero·
Feedback requested! What do you want for our next Gemma models? Which capabilities should we add and why?
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Andrew Ng
Andrew Ng@AndrewYNg·
@Mononofu @JensenHuang This is a false equivalence. Everyone has the right to keep their code private. The problem is when someone tries to stop OTHERS from open sourcing.
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LO0
LO0@loopPoly·
Lets me Emm Interesting
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LO0@loopPoly·
不习惯关窗口,也用不习惯平铺式桌面,于是我想在公司也搞一台 LG C
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LO0@loopPoly·
@tcdwww 来双清路由
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免师傅今天攻克鼻炎了吗
有人问我不羡慕吗?说实话,我羡慕,但我羡慕的不是那个奖,我羡慕他们能在一件事上保持二十年的纯粹。但转念一想,我在自己的路上,也保持了二十年的纯粹。 最后想对屏幕前的你说一句,不管你在做什么、走哪条路,找到属于你自己的那条,然后坚定走下去。人生每一步,都算数。 晚上看书的时候,突然又联系到另外一句话:风光无限是你,跌落尘埃是你,重点是你,而不是怎样的你
免师傅今天攻克鼻炎了吗@mianmoe

柳智宇学长讲话太治愈了,看哭了

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General Reasoning
General Reasoning@GenReasoning·
🔍 Introducing BackSearch. LLMs are increasingly asked to predict the future, but a good backtest requires a snapshot of the internet at a point in time. BackSearch allows LLMs to search the web as it was on a particular date. It’s great for: 🔮 Forecasting and prediction markets. 📈 Quantitative finance. 🌍 RL environments that simulate the world. 🥶 Freezing websearch for benchmark reproducibility We’re releasing a narrow slice of our index to begin with, focused on the news domain for 2026. Based on feedback we’ll open up more of our index in subsequent releases. 👇 Try BackSearch out with the link below.
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LO0
LO0@loopPoly·
.95 Kernel CTF 在放出 30min 内就被解出了...
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Young
Young@Young_AGI·
Tips:如何配置suagent🤝model,看看这里 👀 #secondary-model" target="_blank" rel="nofollow noopener">moonshotai.github.io/kimi-code/zh/c…
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Young
Young@Young_AGI·
Kimi Code CLI 0.29.1 划重点: 新增实验性的子 Agent (subagent)辅助模型绑定,支持按 Agent 设置模型偏好及仅对子 Agent 生效的模型覆盖。 目前仅支持在Kimi Code Web(KimiCode CLI中/web即刻使用)中实现,TUI版会在后续版本中上线~
Kimi Developers@KimiDevs

Kimi Code CLI 0.29.1 Features 🌟Add global default MCP server timeouts in config.toml and env vars. 🌟Add environment variables to configure the web search and web fetch services without OAuth login. 🌟Add experimental secondary-model bindings for newly spawned subagents, including per-agent model preferences and subagent-only model overrides.

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LO0
LO0@loopPoly·
@TooooooBug 现在应该可以私信了,在这里回复也完全OK,我逐条看一下,非常感谢,交互上确实有问题
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toobug
toobug@_toobug·
@loopPoly 你好,似乎我不能私信你,因此我就简单回复在这里哈。个人意见,仅供参考。
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Zion Leonahenahe Basque
We are approaching perfect binary decompilation, and, crazier still, LLMs may soon be the best decompilers on the planet. I'd like to introduce DecBench, an evaluation site to determine how close we are to completing the field of perfect decompilation. Links and more in 🧵
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Chaofan Shou
Chaofan Shou@Fried_rice·
We built a massive causal video model, using a mix of Ascend NPUs and NVIDIA GPUs on @yetalabs. Demo 👇 Waitlist @ world.yeta.ai
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