zealoct

This guy is too lazy to write anything

[zealoct @zealoct]

@manateelazycat 这个故事去年ktransformer已经讲过一遍了，只是去年是dsv3，内存需求更高，需要至强+差不多800G内存，没想到今年能再火一遍

[zealoct @zealoct]

@zcnfdyl @WY_mask @donghaifeixia 问题出在「如果昨天是明天」这句，如果理解为 想象中的昨天=实际中的明天=周四，那么今天是周三，如果理解为 想象中的明天=实际的昨天=周六，那么今天是周日

[zealoct @zealoct]

@passluo 要是有个自来水agent每天消耗2吨水，怕是也闹不住

[zealoct @zealoct]

@manateelazycat 老板，请问这个云端微信支持扫码支付、语音通话和使用小程序吗

[zealoct @zealoct]

@lidangzzz 鸿蒙NEXT不是安卓，否则生态也不会那么难做了

[zealoct @zealoct]

同时拥有黄浦江、现代都市与自然风光，前滩确实厉害呀

[zealoct @zealoct]

2T LLM，太卷了

[AI at Meta @AIatMeta]

Today is the start of a new era of natively multimodal AI innovation.

Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality.

Llama 4 Scout
• 17B-active-parameter model with 16 experts.
• Industry-leading context window of 10M tokens.
• Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks.

Llama 4 Maverick
• 17B-active-parameter model with 128 experts.
• Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image.
• Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks.
• Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters.
• Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena.

These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight.

Read more about the first Llama 4 models, including training and benchmarks ➡️ https://t.co/9G3QgVdCkB
Download Llama 4 ➡️ https://t.co/eVomRvEr0w

[zealoct @zealoct]

@JAVE1_ 一开始就找她要违约金，最后她就会觉得能退14天房租了结是占了大便宜

[zealoct @zealoct]

@leo1989514 @JZhen72937 CameraMen

[zealoct @zealoct]

之后用〔驾驶执照〕更换了回扣，这一时期钱靠黄金牌+双倍哑剧就够了，大量黄金牌+钢铁牌也触发了执照的x3倍率。玩法上基本是大量弃牌积攒钢铁+黄金，根据钢铁牌数量决定复制〔执照〕或〔哑剧〕之一，靠着1.5^(2n)或者x3^2的倍率拿分。这也是胜利牌组。

[zealoct @zealoct]

在人头牌全黄金后，开始用〔DNA〕和塔罗牌等各种手段，积攒钢铁牌，很长一段时期手牌是〔斐波那契〕〔蓝图〕〔哑剧演员〕〔邮件回扣〕〔城堡〕。由于蓝图+哑剧双倍结算的效果，手牌中要剩余黄金牌+钢铁牌，出牌主要是单张高牌和对子，因为有斐波，可以保障A/2/3/5都有不错收益。

[zealoct @zealoct]

Windows还是挺牛逼的，用llama.cpp在一台笔记本上跑Q3 70B，一共16G的内存，加一张4090，跑的时候系统居然没有啥卡顿感。同样在16G内存的MBA上，系统UI已经基本hang住了

[Max Jaderberg @maxjaderberg]

Super excited to be releasing AlphaFold 3 today, developed by @IsomorphicLabs and @GoogleDeepMind: our next generation AI model for predicting the biomolecular structures and interactions of proteins, DNA, RNA, small molecules, and more: https://t.co/F4qSUELVLA
1/

[zealoct @zealoct]

开年第一天，喜提加班一个月的预期

[zealoct @zealoct]

熟练掌握壁挂炉更换三通阀的技能，节省了大几百，买游戏的腰板更硬了一些

[zealoct @zealoct]

@llennchan2003 想到某次闲聊动森的时候，突然有个同事说他最希望培养孩子的是对大自然的爱

[zealoct @zealoct]

@imwsl90 董事会谁的投票权超过了50%，就要为公司所有的问题负责

[zealoct @zealoct]

@RFAChinese @get_this_v

[zealoct @zealoct]

@RFAChinese @get_this_v