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关注数据科学 关注科技行业 关注人工智能 关注一切促进人类生活美好的新技术 业界主流大模型列表:https://nitter.cf/t.co/H4FUDd7Gfb 国产开源大模型生态现状:https://nitter.cf/t.co/q5KU9WhPuE

Hefei, China
Joined March 2023
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智谱的GLM 5.3的确是强,这两天刚发布的Terminal Bench 4.0,在原来的基础上去除了很多已经饱和的任务,主要修复了旧的任务问题。但是这个新的评测结果GLM 5.3排名第三,仅次于Fable 5(可能是安全限制?),好于GPT-5.6,的确是可以的
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实际测试的Codex的Plus订阅的额度,基本上GPT-6.1 Sol可以在5个小时完成15个任务左右,根据复杂度不一样。而GPT-6 Astra可以完成5次。这两个5小时额度分别站周额度的1%和3.1%左右,也就是ChatGPT的Plus会员用GPT-6.1 Sol一周可以做100个任务。如果和ChatGPT共享额度,那就基本没打完了。
Replying to @LLMLearnerAI
Codex usage on Plus: • GPT-6 Astra: 20.9% of the 5-hour quota per task • GPT-6.1 Sol: 6.1% per task That's just ~5 Astra or ~16 Sol tasks to exhaust the entire 5-hour allowance, ignoring resets. Unless the shared quota increases, Plus could become very limiting.
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的确!如果你用来写博客或者写材料,是可以考虑使用Gemini4 Argon的。对比一下GPT你就知道什么叫说人话。比如内容的格式方面,不会像GPT那样动不动十几个章节,一句话一段,不断重复列表啥的,也不会动不动搞一段读起来都别扭的黑话啥的。
gemini-4-argon 我认为在文本咨询领域, 已经可以封神了, 去年十月 claude-4.5 , 我是上架第二天开始喊这个 sonnet-4.5 是文本的新王吧。 今年这一次是 gemini , 带给人前所未有的强大辅助思考能力, 一款类似于高达的认知外骨骼, agent和chatbot的近乎完美平衡融合model
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OpenAI将Pro级别订阅的使用量翻倍了,但是plus保持不变,这么一看,20美元订阅ChatGPT几乎是毫无意义了,不软转为Claude
Day 25/ We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today. We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage. And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
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GPT-6.1 Terra应该是一个失败的模型,在codex中,让这个模型搜索信息录入数据,一个任务,做到一半就停止,让继续了4、5次了,依然是遗留不做完。有点垃圾啊
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其实关闭也没啥用,之前百度地图里面提供了关闭摇一摇广告,但实际测试发现,关闭后依然会触发。所以合理猜测,百度很多app看起来各种合规设置和隐私保护设置其实都是形同虚设,真要是拿到欧盟那边审计一下,估计可能直接倒闭了
升级 #IOS 27.2 + 国行账号,限制百度网盘运动 #传感器 权限后,百度网盘还是能跳转摇一摇广告?网友实测禁用传感器权限也不能阻止摇一摇广告继续跳转,其他网友猜测百度网盘可能设置了随机延迟时间,到时间后无论是否摇晃手机都会触发跳转。 最后网友还是在百度网盘、我的、设置、隐私与个性化设置、个性化管理、广告兴趣管理里,手动关闭了摇一摇广告展开权限。
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DataLearner retweeted
software engineers are going to have to tackle a new set of problems to unlock powerful multiagent systems to solve the world's hardest problems - right now is one of the most interesting moments in history to be an engineer.
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来了 Anthropic提交S-1表格了 正式开启上市进程了 还没看到具体以估值多少上市,打算融资多少
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO. Read more: anthropic.com/news/s1-sec Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
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去申请Claude Duet吧,如果申请成功,会获得依次免费的Claude额度重置的次数哦
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感觉OpenAI有点不太给力,战略方向总是变化,产品运营有点像国内鸡贼。目前codex额度消耗过快,没有5小时限额解除之后可以继续工作,Dots这个agent普通20美元订阅者不可使用。GPT-6.1 Sol虽然还可以,但是相比Opus 5.5没有啥优势。OpenAI的人不够纯粹啊,运营有点不太行感觉。
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大模型的坟墓🤔
Replying to @LLMLearnerAI
Built it in ~2 days. Started with Claude Code + Fable 5.1 and somehow burned ~$80, then moved most of the work to Codex + GPT-6 Astra Low (~10M input tokens). ChatGPT did the artwork, Gemini did the music. visit: llmlearner.com/graveyard
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这个数据有意思 GPT-6 Astra的tokens使用效率比较高 使用low模式基本上不会比GPT-5.6 Sol high高不了多少
Been using Codex heavily for 11 days, and GPT-6 Astra has been better value than I expected. I mostly run Astra on Low/Medium, while Sol is mostly High. Astra: ~$0.17 per request / Sol: ~$0.155 Astra Low is fast, good enough for a lot of coding work, and the cost isn’t crazy.
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DataLearner retweeted
In Codex / Claude Code we can talk to the agent while it’s still working in 4 ways: 1) Steer: change what it does next 2) Queue: add work for later 3) BTW: ask something without interrupting 4) Interrupt: stop it Looks like a small UX feature, but changes the architecture.
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OpenAI说GPT-6的需求太大了 服务器快搞不定了 如果这样继续下去 就要限制新增pro用户了 我去 这是催着大家有机会赶紧订阅pro啊
Demand for Astra is really unprecedented. We're pulling all the levers possible to sustain the demand, but I've not seen anything like it until now and we went through very steep growth before. Priority will always be to keep excellent service for existing users, but we might have to pause new Pro subscriptions for a bit if this continues.
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所以 gemini 4要来了?这么久没更新的Gemini Pro是不是该有了
It seems that Gemini 4.0 is coming soon, considering gemini pro has not updated for a while, so it will be gemini 4.0 pro?
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这个数据挺有意思:一次 GPT-6 Astra 的 Codex 任务,11 分钟消耗了约 90% 的 5 小时额度,但 97.8% 的输入已命中缓存,最终输出也只有 1.1 万 tokens。看样子Codex额度消耗最大的像是长上下文下反复进行「推理 → 调工具 → 获取结果 → 再推理」的 Agent iteration 本身非常昂贵,而不是单纯输出长度
GPT-6 Astra burned 90% of my Codex 5-hour limit in ~11 minutes. The weird part: 97.8% of the input was cached, and it generated only 11.3K output tokens. So I dug into my local Codex history to see what actually happened. Two runs stood out.
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😂
So does Tibo hint that the Codex will have a new reset in a while?
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DataLearner retweeted
Who says it won't reset in a while 👀
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这么看 OpenAI GPT-6模型训练完成到大规模提供服务也就2个月时间 很快啊
Replying to @LLMLearnerAI
Another implication: frontier models can be useful internally well before launch. GPT-6 Astra-class RL was active by July 20; GPT-6 Astra launched Sep 3. That’s ~6 weeks from documented internal RL/safety work to rollout—not “training finished,” but a short deployment window.
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这里还有个可能,其实GPT-6 Astra区分为Pro版本和普通版本。当前codex里面似乎没有开放Pro版本的使用
目前为止我还没觉得 GPT 6 Astra 在开发方面比 Fable 5.1 更强,差不多是 Fable 5 的水平,但是速度很快,比 Fable 耐用。 这其实带来的优势很明显,首先绝大部分场景不需要 Fable 那么强的智能,但是 Opus 5 又不聪明又慢。而现在 Astra 就是绝大部分任务表现的足够聪明胜任,速度又快,而且 Token 消耗没有 Fable 那么夸张,加上 Tibo 时不时送重置卡,这套组合下来优势会相当明显。 另外还有 UI 方面 Astra 有明显提升,但是目前我测试下来还是不如 Fable,细节上很多问题,但是你纠正一下它还是能改好。 写作方面还没有深入体验,比 GPT 5.6 强。 综合来说我接下来应该会更多的使用 Astra 在大部分任务上,但是更复杂的任务或者是 UI 设计产品设计的任务,还是会优先考虑 Fable 5.1(如果还有额度的话,太不耐用)。 当然这只是我目前为止的结论,我也没去测试做游戏和3D,那些不是我目前关心的,估计后面还会有些修正。
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Tibo回复用户说ChatGPT普通的Plus订阅也会有GPT-6-Astra,可是官方目前的文案写的是GPT-6-Astra会以GPT-6 Pro的形式存在ChatGPT网页,而且100美元Pro用户限制是一周50条消息,200美元是一周200条消息,且额度和GPT-5.6 Sol Pro共享。感觉这个信息非常困惑啊,有可能普通订阅用户是用不了GPT-6 Astra的
Replying to @ishuagra02
Benefits All
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