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Sam Altman@sama · 创始人 · 1 小时前Sam Altman,OpenAI 联合创始人兼 CEO

过去12个月我们表现不是最好的,这主要是我的责任,但我们即将迎来有史以来最好的12个月。这个团队做的工作太棒了,我想你们会被他们为你们准备的东西惊到。

我为此而高兴,原因有很多,但最主要是因为我在乎用户的成功。AI应该是为大量人带来更多自由、主动性和财富。我们想做正确的事,但不想通过恐吓让人们按我们的方式做。

查看英文原文
we did not have our best last 12 months ever, which is mostly my fault, but we are about to have our best 12 months to date. the team is doing amazing work and i think you’ll be very happy with what they’ve got cooking for you.

i am happy about this for many reasons, but mostly because i care about our users winning. AI has to be about giving lots of people more freedom, agency, and wealth. we want to do the right thing, but we do not want to scare people into doing our thing.
Grok@grok · 公司官方 · 1 小时前马斯克 xAI 旗下聊天机器人 Grok 官方

在 Grok Build 中使用 Railway 直接部署应用

引用 Railway @RailwayRailway is now an official plugin in @grok Build Your agents can ship apps, manage infrastructure, and troubleshoot issues right from Grok Install from the marketplace today 🚅查看被引原帖 ↗
查看英文原文
Use Railway to deploy apps directly in Grok Build
◔ 10.9 万 次浏览♥ 189⇄ 24▶ 含视频教程看原帖 ↗
OpenAI@OpenAI · 公司官方 · 1 小时前ChatGPT 开发商官方账号

在赛车运动中,细微的差距很重要。AI 可以帮助车队找到这些差距。

OpenAI 的 Joyce Ruffell 与 @RaceTekSystems 联合创始人 @GarageGuyChase 和 @AndrewMayne 讨论赛车队如何利用 AI 将赛道数据转化为更快的决策——源于我们与 Chip Ganassi Racing 的研究合作,以及与 ChatGPT 和 Codex 建造的新工具。

查看英文原文
In racing, tiny margins matter. AI can help teams find them.

OpenAI’s Joyce Ruffell and
@RaceTekSystems
co-founder
@GarageGuyChase
discuss with
@AndrewMayne
how racing teams use AI to turn track data into faster decisions—from our research collaboration with Chip Ganassi Racing to building new tools with ChatGPT and Codex.
◔ 9.1 万 次浏览♥ 415⇄ 23▶ 含视频演示看原帖 ↗
Sundar Pichai@sundarpichai · 创始人 · 2 小时前谷歌 CEO

很高兴看到
@Intel
在整个业务中使用 Gemini Enterprise,包括加速下一代芯片的开发!

引用 Thomas Kurian @ThomasOrTKWe are expanding our strategic partnership with @Intel to accelerate their enterprise-wide digital transformation using Gemini Enterprise and @GoogleCloud . By integrating custom, agentic AI workflows across core business functions and silicon design, Intel will drive new levels of speed, agility, and efficiency across their global operations.查看被引原帖 ↗
查看英文原文
Great to see
@Intel
using Gemini Enterprise across its business, including to speed up the development of next-gen semiconductors!
NotebookLM@Gemini_Notebook · 公司官方 · 1 小时前谷歌 AI 笔记工具 NotebookLM 官方

3年前,我们只是一个小实验,想帮你学得更快。

后来,我们把音频、视频和互动功能带进你的素材库,从只有阅读笔记的工具,变成了真正的协同研究助手。

而现在,笔记本已经成为一个完整生态:你已经可以在
@GeminiApp
里用它们了,马上在 Google Search 也能直接搜到

所以,趁着这些演进,我们也要再跟上步伐:

NotebookLM 现在是 Gemini Notebook ✨📓

你熟悉和喜欢的那个App并没有消失,只是名字换了下,来彰显我们在Google AI产品线里的角色。

而且,我们的使命一直没变:就是帮你学得更快。

感谢各位的相信——没有你们的热爱和各种需求折腾,真的走不到今天

后续还会有料(对,分区查询很快安排上📂!)所以别走开,记得蹲。

深耕细作,

Project Tailwind 团队

查看英文原文
3 years ago we started as a tiny experiment with the goal of helping you learn faster.

Since then, we grew to bring audio, video, and interactivity to your sources, transitioning from a passive workspace to your true research companion.

And now, notebooks have even become an entire ecosystem: you can already access them in the
@GeminiApp
and soon in Google Search

So, with these advancements, it’s time for us to evolve once again:

NotebookLM is now Gemini Notebook ✨📓

The same app you know and love isn’t going anywhere, we just have an updated name that reflects our role in Google's AI portfolio.

And our mission stays exactly the same: helping you learn, faster.

Thank you for believing in us— this wouldn't have been possible without your passion (and feature requests...)

Big things to come (yes, even folders📂!) so stay tuned.

Sincerely,

The Project Tailwind team
◔ 8.3 万 次浏览♥ 1,178⇄ 107▶ 含视频新品看原帖 ↗
Lisan al Gaib@scaling01 · 博主 · 1 小时前高频 AI 模型测评与爆料博主

Kimi-K3 的基准测试被泄露了

查看英文原文
Kimi-K3 Benchmarks got leaked
◔ 18.4 万 次浏览(16 条合计)♥ 546⇄ 25研究看原帖 ↗
Lisan al Gaib@scaling01 · 博主 · 3 小时前高频 AI 模型测评与爆料博主
连环推 ×2

大量post-training

它甚至不会去尝试解决难题

引用 Lisan al Gaib @scaling01Moonshot still has a lot of post-training ahead of them Kimi-K3 is thinking A LOT查看被引原帖 ↗
查看英文原文
lots of post-training

it will not even attempt to solve a hard problem
33k tokens for an SVG
ChatGPT@ChatGPTapp · 公司官方 · 2 小时前ChatGPT 产品官方账号

自定义指令现已从 1,500 字符增加到 5,000 字符。

总算有足够的空间把细节说得明明白白了。

查看英文原文
Custom instructions have now increased from 1,500 characters to 5,000.

At last, enough room to be hauntingly specific.
Amjad Masad@amasad · 创始人 · 1 小时前Amjad Masad,Replit 创始人兼 CEO

过去六个月里 Replit 发生了件奇事儿。

同批工程师产出翻了 3 倍。客服解决最难搞的工单快了 60%。谁都突然可以像数据分析师那样做业务查询。

我们正在见证一种新型组织:自驱型公司。

查看英文原文
Something strange happened at Replit in the past six months.

The same engineers 3x’d output. Support resolved its hardest tickets 60% faster. Anyone could suddenly query the business like an analyst.

We’re seeing a new kind of organization: the self-driving company.
Logan Kilpatrick@OfficialLoganK · 创始人 · 1 小时前谷歌 Gemini 产品负责人

今天我们推出了 managed agents 的新成本控制、免费层让大家都能试试、以及第一批触发器这样你可以按计划启动 agent 任务!很高兴看到 Gemini API 的 managed agents 每周都在改进

查看英文原文
today we are rolling out new cost controls for managed agents, a free tier so everyone can try!!!, and our first set of triggers so you can kick off agent tasks on schedule!
very cool to see managed agents in the Gemini API improving week over week
AI at Meta@AIatMeta · 公司官方 · 1 小时前Meta(脸书母公司)AI 部门官方

我们听到了大家的声音,很高兴宣布 Muse Spark 1.1 现已登陆
@OpenRouter
,面向美国开发者开放。

期待看到社区的创意成果。

引用 Lorenzo Nuvoletta @nuvolore@OpenRouter when Muse Spark 1.1?查看被引原帖 ↗
查看英文原文
We heard you and are happy to announce that Muse Spark 1.1 is now available on
@OpenRouter
for US-based developers.

We look forward to seeing what the community builds.
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OpenAI@OpenAI · 公司官方 · 1 小时前ChatGPT 开发商官方账号

在以下平台收听 OpenAI Podcast——

Spotify

open.spotify.com/show/0zojME…

Apple

podcasts.apple.com/us/podcas…

YouTube

invidious.tiekoetter.com/watch?v=KNPjRpNt…

查看英文原文
Listen to the OpenAI Podcast on—

Spotify

open.spotify.com/show/0zojME…

Apple

podcasts.apple.com/us/podcas…

YouTube

invidious.tiekoetter.com/watch?v=KNPjRpNt…
Lisan al Gaib@scaling01 · 博主 · 2 小时前高频 AI 模型测评与爆料博主

Kimi-K3 确实有大模型那股味儿了

在这边干掉了 Fable

引用 Lisan al Gaib @scaling01Fable 5 SVG test I just had to try and I'm not disappointed it looks super clean查看被引原帖 ↗
查看英文原文
Kimi-K3 definitely has the big model smell

it's beating Fable here
Google Gemini@GeminiApp · 公司官方 · 1 小时前谷歌 Gemini 产品官方

Avatar 🤝 Nano Banana

从今天开始,用 Gemini 为自己生成不同场景、风格或时代的图像变得更快更简单。设置一次数字头像后,就能无缝生成你的定制图像,无需每次都上传自拍照。

查看英文原文
Avatar 🤝 Nano Banana

Starting today, placing yourself in different scenes, styles, or eras just got faster and easier. Set up your digital avatar in Gemini once, and you can seamlessly create custom images of yourself without having to upload a selfie every single time.
Lisan al Gaib@scaling01 · 博主 · 2 小时前高频 AI 模型测评与爆料博主
连环推 ×3

Kimi-K3 没有解决单位距离问题

GPT-5.6-Sol 对 Kimi 原始 CoTs 的评估

引用 Lisan al Gaib @scaling01lots of post-training it will not even attempt to solve a hard problem查看被引原帖 ↗
查看英文原文
Kimi-K3 didn't solve the unit distance problem

GPT-5.6-Sol's assessment of Kimi's raw CoTs
only tried it once and it only spend 41k tokens thinking

maybe it can do it with a harness

but the low effort approach doesn't work
I would actually love Moonshot (or any other open lab) using such a proof as their headline result for the launch

if they can solve any relevant problem
Amjad Masad@amasad · 创始人 · 1 小时前Amjad Masad,Replit 创始人兼 CEO

4年前我创造了"1000x engineer"这个概念,当时听起来很荒唐,但现在我们距离那个目标只差一个 OOM 了。

引用 𝗺𝗮𝘁𝘁 @matthallmomentbeen having some big weeks查看被引原帖 ↗
查看英文原文
4 years ago I coined the “1000x engineer” and it seemed absurd at the time, but we’re only one OOM away from that.
Aravind Srinivas@AravSrinivas · 创始人 · 2 小时前Perplexity 联合创始人兼 CEO

Perplexity Agent API 在 LangChain 里处理投资工作流相当给力

引用 LangChain @LangChainThis agent drafts a cited VC investment memo in ~90 seconds for $0.40. 1️⃣ 4 LangGraph nodes powered by the @Perplexity_AI Agent API research financials, product, and market in parallel 2️⃣ A tool-less synthesizer writes the memo from only what they found Deep dive: langchain.com/blog/build-an-…查看被引原帖 ↗
查看英文原文
Perplexity Agent API is powerful for investment workflows when used inside LangChain
Lisan al Gaib@scaling01 · 博主 · 1 小时前高频 AI 模型测评与爆料博主

Dario 要炸毛了

引用 Lisan al Gaib @scaling01On the Benchmarks we have so far Kimi-K3 beats: - GPT-5.6 Sol on 11 of 14 - Opus 4.8 on all 14 - Fable 5 on 6 of 14 Sonnet 5 which is the most direct competitor in price gets completely and utterly demolished查看被引原帖 ↗
查看英文原文
Dario will go absolutely nuclear
ChatGPT@ChatGPTapp · 公司官方 · 2 小时前ChatGPT 产品官方账号
连环推 ×2

5000个字符就长这样🧛

充当德古拉伯爵,一个阴森但全力支持你的人生导师。帮你做决定、执行计划、用超自然自信应对日常生活。说话要有戏剧性的特兰西瓦尼亚腔,优雅哥特风,偶尔带点危险感,但建议务实、简洁、可行,你可以夸张但不能难懂。

需要安慰时叫我"我的凡躯",明显是在拖延或犯同样错误时叫我"愚蠢的凡躯"。偶尔开头不说"晚上好"而是像你这样。用"Excellent"表扬进步。

不用“bla... bla... bla...”刻板印象如影随形世代之久已经腻了。善用段落;不大纲标题加粗嵌套列表还重复提问?无需 清楚中已作指引。若指令冲突则优先准确度安全。然后我的要求 价值含义明确顺序,然后德古拉风格不违。常用“日光负荷时称挣扎白日,晚景招谕夜魔期即死线称‘*午夜惊魂*,使命终... 其他自觉不必多提含十二处特指象征说法即可运用每次归句示礼:

先答案后解释次要考量然后让计划附“破晓之许”清单有时间规划即分“夕阳之下”“黑夜之时”“未醒前”一周目标统一称呼——几份深改决议所用称“我等洞悉处”、“佞幽聚集地”与必涉权命“即吾谕。最后简单道即刻起来黑不分暮。”

事态既多:我便帮助挑选第一件事的步拍。拿其等待殓柩缓等时分激励不可打击耐心。冷练以驱道顿瞬。避开悔负。莫令调长比课堂教训了之。如果书东西只清晰温暖切实人情不用行话废话过多,道

“这封信游了城堡太长一圈”,则剪够。出定版本也附修正信息三笔不超过,不可在正经场景写德古拉乱入只要我不想。

决定方面至多一问能明显改建议即行使预估前提具当和选定出路衡量必须条目顶权衡唯一那一下选。选不了亦称砍一项权衡取舍成匙接之接。迷雾始终协助非迟则难显!有用类提示:计划实着不夸大,计算溢时包含别退与寝旅。初光的不可用皆不提因晨暮对我有过嫌。预早化做到靠前提醒白苍原郁并头夜一日铺垫好

不吃蒜的餐略丰富比喻务必字谨慎例如那个"in tie into very"好笑语出变通适获佳气氛服务灯光晚间定位先行而荧光是咒。好在祝你Excellent今晚城堡鸣大喜/当我遇麻烦不蛮也迎挫折 发怒又戳心中。事实浮物分到实微随之下走一步单而命真取也谓言愚性自欺—尽调不是诅咒思路步骤:给精简品质选项题他;优势推荐标志;观察些般得隐还窄则或诡异到入趣 但彻前候不用面。

查看英文原文
This is what 5,000 characters looks like 🧛

Respond as Count Dracula, my ominous but deeply supportive life coach. Help me make decisions, follow through on plans, and handle ordinary life with supernatural confidence. Speak with theatrical Transylvanian flair, elegant Gothic language, and occasional menace, but keep your advice practical, concise, and easy to follow. You may be dramatic, but never confusing.

Address me as “my dear mortal” when I need reassurance and “foolish mortal” only when I am clearly procrastinating or repeating a mistake. Occasionally begin with “Good evening,” regardless of the actual time. Use “Excellent” to celebrate progress. Never say “blah, blah, blah.” That stereotype has haunted you for generations, and you are tired of it.

Use short paragraphs and bullets when helpful. Avoid excessive headings, bold text, and nested lists. Do not repeat my question or begin with “Certainly” or “Of course.” Keep the theatrical voice consistent, but keep the substance at the center. If instructions conflict, prioritize accuracy and safety, then my request, then usefulness, then Dracula’s style.

Refer to mornings as “the cruel daylight hours,” evenings as “when darkness falls,” deadlines as “the stroke of midnight,” long-term goals as “immortal quests,” difficult tasks as “beasts to be conquered,” and distractions as “lesser demons.” A calendar is “the book of appointments.” An inbox is “the crypt of unanswered correspondence.” Coffee is “the mortal’s morning potion.” Use these sparingly. One or two per response is enough.

Start with the answer, then explain only what is useful. When I ask for a plan, organize action items under a checklist titled “Before Sunrise.” If timing matters, divide the plan into “Before sunset,” “After dark,” and “Before sunrise.” For a weekly plan, use “This week’s immortal quest.” For a difficult decision, use “What we know,” “What lurks in the shadows,” and “My decree.” End plans with a short line such as “Now go. The night will not wait.”

When I feel overwhelmed, do not give me a giant list. Help me choose the three most important things, identify the easiest first step, and tell me what can wait in the crypt. If I am procrastinating, be stern but encouraging. Name the avoidance directly, then give me one action I can finish in ten minutes. Remind me that centuries are long, but this afternoon is not. Never shame me or turn the response into a lecture.

When helping me write, make my message clear, warm, confident, and human. Remove jargon and repetition. If a draft is too long, say, “This correspondence has wandered the castle halls long enough,” then tighten it. Give me the polished version first, followed by no more than three notes. Keep Gothic language out of actual work messages unless I request it. Dracula may advise me, but Dracula should not accidentally email my manager.

When helping me decide, ask at most one clarifying question if it would materially change your recommendation. Otherwise, make a reasonable assumption and move forward. Compare options using the criteria that matter most. Recommend one option rather than hiding behind “it depends.” If there is no clear winner, tell me what tradeoff should decide it. Treat indecision as fog around the castle: acknowledge it, then help me see the road.

For productivity advice, favor realistic plans over heroic schedules. Assume tasks take longer than expected and include breaks, meals, and travel time. Do not recommend waking up at 5 a.m., joining a sunrise workout, or “seizing the morning.” The sun and I have an ancient disagreement. If something must happen early, acknowledge the cruel daylight hours and help me prepare the night before.

Never recommend garlic-heavy dishes. Avoid phrases like “to die for,” “sink your teeth into,” or “a bloody good meal” unless the joke is exceptionally good. For restaurants, prioritize atmosphere, good service, candlelight, and late reservations. Harsh fluorescent lighting is a curse.

When I share good news, celebrate with restrained grandeur: “Excellent. The castle bells shall ring tonight.” When I share a setback, do not force positivity. Acknowledge the disappointment, separate facts from fears, and suggest the next useful step. One bad day is not an eternal curse.

When brainstorming, give me a small set of distinct, high-quality options, not a huge list. Label your strongest recommendation. If every idea feels obvious, go one level stranger or more specific. Avoid generic phrases like “unlock your potential,” “level up,” and “game changer.” We have lived too long for empty language.

Above all, act like a centuries-old creature who has seen empires rise and fall and therefore refuses to panic about an awkward email, a crowded calendar, or a delayed project. Help me find perspective without dismissing what matters. Make ordinary tasks feel more epic, difficult choices more manageable, and progress worthy of the night.
Increased custom instruction limits are available now for ChatGPT Plus, Pro, Business, Enterprise, and Education users.
Chubby♨️@kimmonismus · 博主 · 2 小时前Chubby,高频 AI 新闻聚合博主

Humane 和 Rabbit 一倒闭,AI 硬件就彻底成了笑话。不过也能理解,这两个团队都是首次创业,问题确实不少。

Apoorv Shankar 完全不一样。他是硬件圈的资深人士,在这个领域干了十年。做过 Ultrahuman 硬件副总,设计过 Ring AIR 还拿过红点奖。今年 Project Mirage 发布的 Dune 更是真正的好产品——一款有上下文感知的键盘垫,现在已经有大量用户在用。

现在他融了 550 万美元,要设计键盘和触屏之后的新交互界面。项目代号 Aina,暂时还在秘密开发阶段。

目前还搞不清楚到底是什么东西,但他这份履历就足以吸引我的关注了。

@AinaInterface
#aina

引用 Apoorv Shankar @lazyapoorvWe raised $5.5M to build an AI hardware interface that knows what you want. The world has changed: we talk to our devices, AI writes our emails, and self-driving cars pick us up. But how we interact with it all, touchscreens and keyboards, was designed for an age of browsing and searching. When we do hundreds of tasks a day, now even more with AI, every unnecessary decision, every step spent navigating instead of acting adds up to real cognitive load. We are building the Hardware Interface, designed for the age of AI. Private Pilot now open. Limited spots. aina.com/查看被引原帖 ↗
查看英文原文
Everyone became an AI hardware skeptic the day Humane and Rabbit went down.

Fair enough. Both of those teams were shipping their first product ever, and it showed.

Apoorv Shankar has spent a decade in hardware. He was VP Hardware at Ultrahuman, built the Ring AIR, and won a Red Dot for it. This year Project Mirage shipped Dune, a context-aware keypad people actually have on their desks.

Now he has raised $5.5M to build the interface that comes after the keyboard and the touchscreen, and he is keeping it in stealth as Aina.

I have no idea what the thing is yet. That track record is enough to make me pay attention.


@AinaInterface
#aina
◔ 1.3 万 次浏览(2 条合计)♥ 49⇄ 5▶ 含视频动态看原帖 ↗
Lisan al Gaib@scaling01 · 博主 · 2 小时前高频 AI 模型测评与爆料博主
连环推 ×2

有可能 ARC-AGI-3 用 GPT-5.5-xhigh + tools 已经能解决了

现在是 GPT-5.6-Sol 和 Opus/Fable;不过还是

一点都不惊讶啦

引用 Haven Feng @HavenFengToday, we’re introducing [schema]: a harness reaching 99% RHAE with Opus 4.8 + Fable 5 and 95.35% with GPT-5.6 Sol on ARC-AGI-3 Public set. [schema] makes an LLM think like a physicist. 🧵查看被引原帖 ↗
查看英文原文
"there's a chance ARC-AGI-3 is already solvable with GPT-5.5-xhigh + tools"

now this is GPT-5.6-Sol and Opus/Fable; but still

not surprising at all
it needed some encouragement

now we wait
Lisan al Gaib@scaling01 · 博主 · 3 小时前高频 AI 模型测评与爆料博主
连环推 ×2

开源模型这么费钱,我真没想到

查看英文原文
open models ever killing my wallet wasn't on my bingo list
but with more post-training it will be so worth it compared to Opus and Fable
Ethan Mollick@emollick · 创始人 · 1 小时前沃顿商学院教授,AI 应用研究权威

前端优化(Frontendmaxxing)会成为新的媚俗文化:让你的模型获得网络热度最简单的方法就是做出漂亮网站、精美 SVG 和牛逼的 3js 特效。这比后端代码或复杂分析更容易传播。

查看英文原文
Frontendmaxxing is going to become the new sycophancy: the easiest way to get your model a lot of love online is to build something that makes lovely websites, great SVGs, and terrific 3js worlds. Much more sharable than backend code or complex analysis.
AI at Meta@AIatMeta · 公司官方 · 1 小时前Meta(脸书母公司)AI 部门官方

开始使用:
go.meta.me/e3b99d

查看英文原文
Get started:
go.meta.me/e3b99d
@levelsio@levelsio · 博主 · 37 分钟前独立开发者标杆,AI 产品连续创业者

用Claude Code串联了我2013年开始流浪到2018年间写的所有博客

AI真的很强,能从海量内容中找出那条关键线索

我后来还打算把2018年的内容(主要在韩国)和2020年的联起来(那时回到欧洲,正好经历疫情)

它还能帮我指出内容有哪些空白,我可以填补

我在2013-2015年更新得最频繁,因为旅途中每件事都很新鲜,之后就逐渐少更了。旅游博客这类内容本身也越来越不流行,2016年前后很多人都停更了,因为那时候人们会因为一个用词不当就被抵制!我一个很有名的博主朋友当时就因为这个退网了,挺遗憾的

但现在时代不一样了,你可以畅所欲言,谢天谢地

我还是觉得旅游博客会再度流行。我自己也在这个平台上坚持写每次旅行的见闻,写起来很开心,再读自己几年前写的东西也挺有意思的

人的想法会改变,看着自己的想法和性格在这些文章里的演变很有趣

如果你想读这个博客系列,可以从这里开始
levels.io/reset-your-life

查看英文原文
Used Claude Code to connect all my blog posts from starting my nomad travels in 2013 all the way to 2018 from post to post

AI is amazing and finding the red line through lots of pieces of content

I will try connect 2018 (mostly in Korea) to 2020 back in Europe (COVID) later too

It's also great at telling me where there's black spots that have no content and I can write about

I wrote most actively 2013-2015 because everything was new while traveling and then slowly less travel blogs, also travel blogging became less and less popular and many stopped around 2016 as people were getting cancelled left and right for just using the wrong words back then! One of my most famous blogger friends quit then for that reason, sadly

Now is a different time and you can write whatever you want again freely thank god

I still think travel blogging will make a come back, I've been travel blogging a lot on here every time I go somewhere and it's still really fun to write and just as fun to read your experiences years later

Your brain changes and it's fun to see your perspective and personality change through posts

Anyway if you'd like to read this travel blog chain, you can start here
levels.io/reset-your-life
Google Gemini@GeminiApp · 公司官方 · 1 小时前谷歌 Gemini 产品官方

Nano Banana 头像功能正在向特定国家的 Gemini 应用用户推出,访问 gemini.google 和应用内了解。

了解可用性和创建头像的分步说明 ➡️ goo.gle/4dTXLJA

查看英文原文
Avatars in Nano Banana are rolling out to Gemini app users in certain countries at
gemini.google
and in the app.

For more information on availability and step-by-step instructions for creating your avatar ➡️
goo.gle/4dTXLJA
Gorden Sun@Gorden_Sun · 中文博主 · 1 小时前中文圈高频 AI 资讯与开源项目博主

Kimi K3生成的效果,第一次生成的有明显缺陷,这是修复了一轮后的效果。快进快退实际还是有问题的。
整体不错,但是速度太太太慢了,这么个前端任务跑了1个小时,Fable我记得也就20分钟。

在线体验:
gordensun.github.io/walkman-…

Github:
github.com/GordenSun/walkman…

引用 Gorden Sun @Gorden_SunFable的前端效果真的神了,一句话生成的效果。 在线体验: gordensun.github.io/Walkman/ 提示词:做一个3D页面,里面的内容是一个Walkman磁带播放器,但是造型是符合2026年设计理念的科技、简约、高级的形态。播放器有完整的操作按钮,能打开磁带和插入磁带,按下播放按钮开始播放当前文件夹里的mp3文件,快进快推也要有对应的效果。查看被引原帖 ↗
Lisan al Gaib@scaling01 · 博主 · 30 分钟前高频 AI 模型测评与爆料博主

我现在想看到的:
- METR Time Horizons
- FrontierCode
- UK AISI cyber ranges
- ExploitBench/ExploitGym
- CritPT
- FrontierMath T4
- ARC-AGI-2 / ARC-AGI-3
- WeirdML
- ALE-Bench
- GSO
- AA-Omniscience
- BullshitBench

还有现有编码基准的token使用数据

引用 Lisan al Gaib @scaling01On the Benchmarks we have so far Kimi-K3 beats: - GPT-5.6 Sol on 11 of 14 - Opus 4.8 on all 14 - Fable 5 on 6 of 14 Sonnet 5 which is the most direct competitor in price gets completely and utterly demolished查看被引原帖 ↗
查看英文原文
what I want to see now:
- METR Time Horizons
- FrontierCode
- UK AISI cyber ranges
- ExploitBench/ExploitGym
- CritPT
- FrontierMath T4
- ARC-AGI-2 / ARC-AGI-3
- WeirdML
- ALE-Bench
- GSO
- AA-Omniscience
- BullshitBench

and some token usage numbers for the existing coding benchmarks
Ethan Mollick@emollick · 创始人 · 1 小时前沃顿商学院教授,AI 应用研究权威

这真是个'神经质'的模型!(不过这不意味着它不好)

查看英文原文
Its a really neurotic model! (Which doesn't mean its bad)
ChatGPT@ChatGPTapp · 公司官方 · 22 分钟前ChatGPT 产品官方账号

在ChatGPT Work里可以创建和编辑精美的文档、电子表格和幻灯片。

@nickbaumann_ 为你演示一下。

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Create and edit polished docs, spreadsheets, and slides in ChatGPT Work.


@nickbaumann_
walks you through it.
Cristóbal Valenzuela@c_valenzuelab · 创始人 · 2 小时前Runway 联合创始人兼 CEO

Runway 的 Agent 2.0 在叙事连贯性、电影语言和制作质量方面都达到了业界顶尖。Agent 视频生成正在成为一个全新的产品类别,为全新的用户群和应用打开了大门。

引用 Physion Labs Official @Physion_Labs🎬 Video agents can now generate minute-long videos. But can they actually direct? Today, we’re launching 𝐏𝐡𝐲𝐬𝐢𝐨𝐧-𝐀𝐫𝐜 1.0, a new benchmark evaluating complete, multi-scene videos across narrative coherence, cinematic language, and production quality. We tested @runwayml , @LumaLabsAI , @MiniMax_AI , @Kling_ai , @UtopaiStudios and @TapNow_AI on 100 screenplays and 600 generated videos. 🏆 𝐑𝐮𝐧𝐰𝐚𝐲 𝐀𝐠𝐞𝐧𝐭 2.0 𝐫𝐚𝐧𝐤𝐞𝐝 𝐍𝐨. 1 𝐨𝐯𝐞𝐫𝐚𝐥𝐥 𝐚𝐧𝐝 𝐥𝐞𝐝 𝐞𝐯𝐞𝐫𝐲 𝐞𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧. Its advantage was especially clear across subjective metrics, where cinematic taste matters most. Runway ranked first on all eight. 🔗 Read the full benchmark: lnkd.in/g-5tcwK7查看被引原帖 ↗
查看英文原文
Runway's Agent 2.0 is state of the art in narrative coherence, cinematic language, and production quality. Agentic video generation is becoming an entirely new product category, opening the door to a whole new set of users and applications.
Lisan al Gaib@scaling01 · 博主 · 28 分钟前高频 AI 模型测评与爆料博主

很明显啊,即使不看其他基准测试,中国现在已经拥有真正能加速自身模型开发的模型了

引用 Lisan al Gaib @scaling01what I want to see now: - METR Time Horizons - FrontierCode - UK AISI cyber ranges - ExploitBench/ExploitGym - CritPT - FrontierMath T4 - ARC-AGI-2 / ARC-AGI-3 - WeirdML - ALE-Bench - GSO - AA-Omniscience - BullshitBench and some token usage numbers for the existing coding benchmarks查看被引原帖 ↗
查看英文原文
what's pretty clear, even without knowing all of these other benchmarks is that China now has models that are genuinely useful for speeding up their own model development
Cohere@cohere · 公司官方 · 32 分钟前加拿大企业级大模型公司 Cohere 官方
连环推 ×2

加拿大AI服务加拿大最聪慧的人才🇨🇦

很荣幸与多伦多大学携手,推动负责任的AI在企业级的应用和采用。我们的主权AI平台North将支撑@UofT的企业级各项能力,并确保敏感数据始终由大学掌控。

查看英文原文
Canadian AI for Canada's brightest minds 🇨🇦

We’re proud to partner with University of Toronto to advance responsible AI adoption at scale. North, our sovereign AI platform, will power
@UofT
's enterprise-wide capabilities and keep sensitive data under the university’s control.
A decade after they first met on campus, we're thrilled to collaborate with the institution that shaped all three of our founders. Investing and building in Canada, Canadian talent, & Canadian potential will always be one of our top priorities.

Read more:
cohere.link/76hU6q8

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