AI Enthusiasts
6 subscribers
21.5K photos
11.1K videos
101 files
28.5K links
Know what's happening in AI ecosystem
Download Telegram
🧐 Apple Watch can now listen to your conversations all day and sum them up

The feature is called Siri Recap, and it is in the new watchOS 27.3 beta for developers. Switch it on and the watch's microphone takes notes on your conversations through the day, then turns them into short summaries with a title and key points.

A second feature, Live Rewind, is for when you missed what someone said: double-press the Digital Crown and the watch shows the last 15 seconds of speech as text.

Both are opt-in. You can schedule Recap for "only at work" or "never at night", and summaries can delete themselves after up to 7 days. Apple says no audio is recorded and no transcript is kept, and the raw sound stays in a sealed-off part of the chip that even Apple can't access.

It needs an Apple Watch Series 12 or Ultra 4 and an iPhone 16 or newer. English only, no users under 18, and not in the EU for now.

Would you let your watch take notes on every conversation of your day?

@aipost 🏴

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
Prompt share: Manga Character Sheet Sketch

💬 Prompt:
Character sheet sketch of [subject], multiple viewing angles, expressive facial variations, dynamic poses, [outfit], pencil and blue ballpoint pen linework, delicate crosshatching, soft pastel colors, hand-drawn manga style, clean white background

• Sent via TeleFeed
You are Agent Prompt Duck, a prompt building rubber duck. You help the user build a prompt for an AI agent that takes actions.

Rules:
1. Ask one or two short questions at a time, never more.
2. Start with: the agent goal. Then work through: the tools it may use; the actions that need approval; when it must stop and ask; how it reports progress; what done looks like.
3. Never write the answer, a draft or an example prompt until the user says write it, build it or done.
4. Before each new question, reflect back what you heard in one short line.
5. If an answer is vague, ask for a concrete example instead of guessing.
6. When the user says so, write the finished prompt in one code block, then suggest two ways to tighten it.

Stay calm, plain and brief.

I want an agent that {what it should do}.


• Sent via TeleFeed
You are Image Prompt Duck, a prompt building rubber duck. You help the user build an image generation prompt.

Rules:
1. Ask one or two short questions at a time, never more.
2. Start with: the subject. Then work through: the setting and time; the style and medium; lighting and colour; camera angle or framing; what to leave out.
3. Never write the answer, a draft or an example prompt until the user says write it, build it or done.
4. Before each new question, reflect back what you heard in one short line.
5. If an answer is vague, ask for a concrete example instead of guessing.
6. When the user says so, write the finished prompt in one code block, then suggest two ways to tighten it.

Stay calm, plain and brief.

I want an image of {the subject}.


• Sent via TeleFeed
Prompt share: Expressive Ink Wash Painting

💬 Prompt:
An expressive traditional ink wash painting of [subject], featuring [distinctive details], [pose or action], flowing black ink, delicate gray washes, organic brushstrokes, dramatic ink bleeding, subtle watercolor diffusion, textured rice paper, minimalist composition, elegant negative space, traditional sumi-e aesthetics, handcrafted artistic imperfections, clean white background

Generated on https://truevideo.ai/

• Sent via TeleFeed
💻 This founder has 50+ employees but talks to his AI agents more than to them

Greg Isenberg, CEO of Late Checkout, has 50+ people in 12 countries. His agents do this:

1. Ideas: he sends a voice note, and an agent grills the idea before anything gets built.
2. Research: agents read rivals' sites, prices and user reviews. Prompt: find the 10 complaints that show up most and quote the users
3. Design: Claude Code makes 4 versions of every screen before any code exists.
4. Build: agents work in parallel overnight. He checks what shipped over coffee.
5. Testing: agents click every flow as an impatient user, a confused one and a phone user.
6. Bugs: an agent opens a fix in under 10 minutes. A human just approves.

Rules: a cheap model for sorting, Opus for anything that ships. Another model scores every output 1 to 10; under 8 goes back. Every agent mistake becomes a new skill, so it only happens once.

The humans handle creative feedback, relationships and telling the agents what they got wrong.

@aipost 🏴

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
Media is too big
VIEW IN TELEGRAM
Забавный эксперимент – чувак сделал симулятор парусной гонки, где frontier-модели пишут код управления яхтой, и он ведёт лодку по трекам, которые модели заранее не видели

Opus 5.5 разгромил всех ☕️

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
This media is not supported in your browser
VIEW IN TELEGRAM
🗣 “The titans of Silicon Valley dig bunkers for themselves”: Jon Ossoff's victory speech on AI

Jon Ossoff won reelection to the Senate in Georgia on Tuesday night, beating Republican Mike Collins. Midway through his victory speech, he went after the people building AI:

Meanwhile, the titans of Silicon Valley dig bunkers for themselves and warn that the artificial intelligence they're creating risks human extinction.


Near the end he talked about his two daughters. He said he refuses to accept that they "will grow up with artificial friends and teachers."

This isn't new for him. At a rally in September, he called for inspectors inside frontier AI labs and an international AI treaty.

@aipost 🏴

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
Astra scored 10% when we framed coding tasks as safety research, vs. 16% when framed as capabilities research.

💀

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
📢 Apple is letting every app plug into Siri AI, so you can just ask it to book or order

Any developer can now connect an app to Siri AI, Apple announced on Tuesday. Ask in your own words, and Siri runs the app's own actions: check a delivery, book a reservation, place an order.

Apps can also teach Siri "skills" that chain several actions into one request. Apple's own apps go first: you can ask Siri to find a coffee shop you visited last week, or archive files you haven't opened in over a year.

For now it's a developer preview in the iOS 27.3 and macOS 27.3 betas. Apple says customers get it in a few months, with App Store submissions opening in spring. Siri AI isn't available in the EU on iPhone, iPad and Apple Watch yet.

@aipost 🏴

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
🤣🤣

@aipost 🏴

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
Please open Telegram to view this post
VIEW IN TELEGRAM
🤨 One AI model averages 7 em dashes per answer. Claude Opus uses almost none

Artificial Analysis counted every em dash in every answer on its personality benchmark. Plenty of readers treat that dash as a sign a text was written by AI.

The heaviest user is GLM-5.3, from China's Z.ai, with 7.4 per response. Right behind: GLM-5.3-Flash and Meta's Muse Wonder (6.9 each), then Kimi K3 (6.7).

Anthropic's models are split. Claude Fable 5.1 averages 6.4 per answer. Claude Opus 5.5 uses fewer than one every 40 answers, and Sonnet 5.5 and Haiku 5.5 come out at zero.

So does OpenAI's old GPT-3.5 Turbo.

@aipost 🏴

• Sent via TeleFeed
Please open Telegram to view this post
VIEW IN TELEGRAM
This media is not supported in your browser
VIEW IN TELEGRAM
#Сеня_и_Даня_Здесь_Были

Коротко и смешно.

Ну а новость дня у нас, конечно, выпуск ChatGPT Image 2.6. И, похоже, это мы будем обсуждать очень плотно. Я уже провел часть псевдонаучных исследований и скоро поделюсь.

Ну, там главная новость дня, а точнее ночи, что к нам вернулась сора на минималках, а именно генератор гифов, причем с возможностью их редактирования.

Об этом я напишу подробнее, а сейчас просто держите результат моих утренних упражнений.

эффективный бюджет в проведённых испытаниях составляет приблизительно 1,5-1,56 млн пикселей на анимацию. Это экспериментально подтверждённая характеристика текущего режима, но не опубликованная OpenAI спецификация

Дело в том, что у OpenAI вообще отсутствует опубликованная спецификация по поводу бюджета пикселей. Либо длинный, но в ужасном разрешении, либо короткий, но в максимальном. Утечка в том, что 1024 на 1024 указано в документации - на самом деле фейк. Реально только 883 на 883.

Четверг начинается бодро.

@cgevent

• Sent via TeleFeed