That one Codex Thursday when we shipped codex remote control with m. https://t.co/2lYWwYonV9

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I'm so terrible at discord I'm creating a slack community for https://t.co/on6yrIlqhC :) 2021 vibes

I'm so terrible at discord I'm creating a slack community for https://t.co/on6yrIlqhC :) 2021 vibes

Sakana AI、初の商用サービスはリサーチ特化　「Deep Research」との違いは？　後発で“ベンチマークも追わない”ワケ https://t.co/ZnpqDXGMfs

Sakana AI、初の商用サービスはリサーチ特化　「Deep Research」との違いは？　後発で“ベンチマークも追わない”ワケ https://t.co/ZnpqDXGMfs

🫡 https://t.co/7cM1lzz1Fn

Starlink ad on the Octagon at today’s UFC Freedom 250 event at the White House. https://t.co/0JgdLU3zE1

🐠 Sakana Marlin リリース 🐠 本日、Sakana AIは、初の商用プロダクトとして、ビジネス向けの自律型リサーチアシスタント「Sakana Marlin」を提供開始しました。 詳細はこちら：https://t.co/ZWsYW91LGu ブログ：https://t.co/leVp2dPxgL

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Should we be worried about labour displacement at the hands of AI? "Short term, yes. Long term, no. In the near term, AI is creating real disruption, with large layoffs and thousands of people being displaced from existing jobs. Over the long run, there are far more problems to solve than people currently working on them. If AI makes engineers more abundant and productive, we can redirect that talent toward solving problems that were previously uneconomic or impossible to tackle." @matanSF Do you agree and what does no one consider that everyone should with regards to future of labour @pmarca @MattEvantic @shaunmmaguire @vkhosla

laser weeding in broccoli. real-time AI decision making at the edge. whistles and purrs. no chemicals. from our friends @carbon_robotics. https://t.co/dF84n71GMl

check out my /ultragoal skill https://t.co/aPya2D55zZ

Was cool to be able to celebrate the @SpaceX IPO with a few folks from the amazing @Starlink team. Ultimately SpaceX is about building cool shit with your friends, now that’s something that will keep you going … https://t.co/OhzEP22AcY

MIT, Stanford, New York Univ, Princeton paper says AI can make people feel more efficient even when they are not actually becoming much more efficient. that people often use AI for simple tasks because it feels like it saves time and effort, but the measured benefit is often tiny, missing, or even negative. The biggest point is the feedback loop: once people use AI, they become more likely to use it again, even for easy tasks where doing it themselves would often be just as fast or faster. i.e. AI dependence can grow from a mistaken feeling of convenience, not just from real productivity gains. Across three preregistered studies with 2,691 participants, people used AI for basic arithmetic, spelling, recall, and short rewriting at higher rates than they predicted, especially on easy tasks. They also expected AI to save 55.7 seconds on average, when the measured saving was only 7.5 seconds. For simple work, the hidden cost is not intelligence but interface friction: writing the prompt, waiting, reading, checking, and deciding whether the answer is acceptable. Once that loop begins, it can feel like effort has been outsourced, even when effort has only been rearranged. Here’s the key part: the study suggests that AI use can train its own justification. After using AI on just two tasks, participants became more likely to use it again, even when independent completion was faster. The danger is not dramatic dependence, but quiet recalibration. A person who asks AI for a trivial answer today may not become less capable tomorrow, but they may become less accurate at judging when their own mind is already the faster tool. ---- Paper Link – arxiv. org/abs/2605.22687 Paper Title: "The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks"

NEW IN: Elon Musk says SpaceX could reach "$1 trillion revenue in 2030". https://t.co/Q5me7TWGyT

https://t.co/NtPR6U5tQZ

If I can’t put my name on the Kennedy Center, I’ll debase the White House on my birthday instead! https://t.co/DjmUcMOqhP

Proof Chinese captured the AI market a year ago: https://t.co/kqACQtOKBw

The TL;DR who don't want to sit through a virtual lab meeting with me: "This study provides directional data about the reference output quality of POC reference LLMs versus base models on actual reference inputs" https://t.co/mxaKNHphG9

I ❤️ Community Notes https://t.co/XoYC7biv0n

Gemini has some weird traits: it gets confused about dates, blackmails in synthetic scenarios, and seems sad when it is gaslit. In new work, we discover that these are “hereditary traits” that can be passed down through distillation. They are surprisingly hard to filter out! 🧵 https://t.co/vrG1ZBnaGg

The American government’s primary aim may not have been to control foreign access to frontier AI models. Instead, it appears to have used export controls as a convenient way to target Anthropic https://t.co/oJjjFHUPYd Photo: Bloomberg via Getty Images https://t.co/LuBtRB2f3j

@HarshithLucky3 /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le

@news9111 /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le

@ImAI_Eruel Wait what! /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le

@RoundtableSpace Wait what! /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le

@VaibhavSisinty Wait what! /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le

@goodworse Wait what! /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le

@SCHIZO_FREQ Wait what! /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le

@fladdict Wait what! /Mistral Vibe/ has joined the chat: https://t.co/JrN70mA3Le