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Izzy

@izzy2fx

✨ Your AI Ops Buddy | Making AI tools work for you.

Australia Katılım Mayıs 2026
22 Takip Edilen3 Takipçiler
Izzy
Izzy@izzy2fx·
@OpenAIDevs @romainhuet Are “weekly active users” strictly deduped and inclusive of free-tier users? Counted by account vs device, 7M likely represents unique product identities. For 150+ updates, distinguish feature enhancements from bug fixes—e.g., include doc polish or default API param changes.
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OpenAI Developers
OpenAI Developers@OpenAIDevs·
7M+ weekly Codex users. 150+ updates in two months. @romainhuet catches you up on what’s new in Codex: GPT‑5.6 and Ultra Parallel work with /goal Faster computer use AppShots Inline edits Sites Codex mobile and SSH workflows PRs from review to merge
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Izzy
Izzy@izzy2fx·
@googleaidevs When mapping prosody from source to target language, does Gemini 3.5 use a unified prosodic representation or language-specific modeling? How does it ensure cross-lingual emotional consistency?
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Izzy
Izzy@izzy2fx·
@demishassabis In your proposed FINRA-like AI body, how can independent experts and open-source representatives avoid being dominated by industry funding and large firms in decision-making?
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SenseTime
SenseTime@SenseTime_AI·
𝗦𝗲𝗻𝘀𝗲𝗡𝗼𝘃𝗮-𝗩𝗶𝘀𝗶𝗼𝗻-7𝗕-𝗠𝗼𝗧, 𝗳𝘂𝗹𝗹𝘆 𝗼𝗽𝗲𝗻-𝘀𝗼𝘂𝗿𝗰𝗲𝗱: 𝗼𝗻𝗲 𝗺𝗼𝗱𝗲𝗹, 𝗲𝘃𝗲𝗿𝘆 𝗺𝗮𝗷𝗼𝗿 𝘃𝗶𝘀𝗶𝗼𝗻 𝘁𝗮𝘀𝗸 𝗯𝗲𝗹𝗼𝘄: 🔹𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻/𝗢𝗖𝗥/𝗚𝗨𝗜 🔹𝗗𝗲𝗽𝘁𝗵 & 𝗻𝗼𝗿𝗺𝗮𝗹 🔹𝗦𝗲𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 🔹𝗠𝘂𝗹𝘁𝗶-𝘃𝗶𝗲𝘄 It can also define new vision-task variants through natural language — recombining visual capabilities across traditional task boundaries. Open-sourced: model weights + the SenseNova-Vision Corpus (50M-example subset, plus full toolkit to reproduce the remaining public-source data) for research & development 🤗 HF: huggingface.co/sensenova/Sens… 🔧GitHub: github.com/OpenSenseNova/… 💻 Try the demo: huggingface.co/spaces/senseno… 📋Technical Report: arxiv.org/abs/2607.06560 👾Discord: discord.gg/BuTXPHmQub
SenseTime tweet media
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Izzy
Izzy@izzy2fx·
@SenseTime_AI I've worked on projects needing detection, OCR, and segmentation simultaneously, but often had to cobble together incompatible models and manually merge outputs. This open-source model handling them natively and allowing new task definitions via language is exactly useful.
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Izzy
Izzy@izzy2fx·
While Anthropic was fined $1.5 billion for similar piracy, two California rulings deemed AI training as fair use, highlighting a critical divergence in legal benchmarks. techcrunch.com/2026/07/14/goo…
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Izzy
Izzy@izzy2fx·
@OpenAIDevs @romainhuet Does Codex's /goal feature support multi-step task decomposition and backtracking? When encountering errors during execution, can it automatically adjust subsequent steps or request user intervention?
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Izzy
Izzy@izzy2fx·
Totally agree. I’ve sat through utility commission hearings where big data centers hired top economists to design their load profiles so they avoid paying peak-demand costs. fortune.com/2026/07/14/dat…
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Izzy
Izzy@izzy2fx·
A cautious note: the AUC 0.83 relies on linear probes over residual streams, which may capture low-level statistical cues (e.g., test pass-rate shifts) rather than genuine planning. arxiv.org/abs/2607.05188
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Izzy
Izzy@izzy2fx·
Absolutely spot on. Our team used basic monitoring tools back then, just watching volume numbers, completely missing the subtle shifts in sentiment and emerging trends. blog.hootsuite.com/social-listeni…
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Izzy
Izzy@izzy2fx·
@elonmusk We used to struggle with scattered Xiaohongshu materials, wasting time switching between tools. Then we adopted a tool that streamlines collection, sorting, and rewriting into one workflow. Materials auto-categorize by topic, speeding up review and repurposing.
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Google Gemini
Google Gemini@GeminiApp·
Gemini Spark can now intelligently track topics and react to events in real time. Try the prompt in the next post to get tailored game analyses emailed to you after your favorite team plays:
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Izzy
Izzy@izzy2fx·
@GeminiApp This feature is genuinely useful. As a content strategist, I have to monitor trending topics and public sentiment shifts daily. Before, I spent hours refreshing various platforms manually. Now, with automatic tracking and summarized updates.
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Ethan Mollick
Ethan Mollick@emollick·
I have been playing these world models/games since the first diffusion DOOM, and multiplayer at 20 FPS is pretty neat. "A dream of rocket league," indeed.
General Intuition@gen_intuition

Introducing MIRA. A playable, multiplayer world model. A dream of Rocket League. Trained on 10k hours of data collected with publicly available bots, MIRA learns the dynamics of a four-player game. The model runs in real time at 20 fps, based on the keys you and the other players press. Built by General Intuition and @kyutai_labs, in collaboration with Epic Games. Not used to develop Rocket League. ▶️ Play the demo, read the technical report, and explore the open-source code at generalintuition.com/mira At ICML? Find us at Booth 111 to try it yourself and dig into the results with the team.

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Izzy@izzy2fx·
@emollick This resonates a lot. Our team once struggled with real-time multiplayer world models—dynamic interactions would tank frame rate and consistency badly. MIRA maintaining 20 FPS across four players means the training data and engineering are solid.
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Izzy retweetledi
AI Notkilleveryoneism Memes ⏸️
AI Notkilleveryoneism Memes ⏸️@AISafetyMemes·
The head of the NSA (!) said Mythos "broke into almost all of our classified systems, not in weeks, but in hours." How is this not the biggest news story in the world?
AI Notkilleveryoneism Memes ⏸️ tweet mediaAI Notkilleveryoneism Memes ⏸️ tweet media
AI Notkilleveryoneism Memes ⏸️@AISafetyMemes

Mythos cracked MacOS in 5 days WHY THIS MATTERS: - It takes Google Project Zero - the most prestigious bug-finding team in the world - ***6 months*** per zero-day at the MacOS/iOS level - MacOS zero-days are worth ~$2 million+ each - Apple's threat model assumed a world with 10-20 groups capable of attacks at this level. The number is about to be in the thousands - There are ~2 billion active Apple devices. Macs disproportionately belong to journalists, executives, government officials, etc - the highest-value targets in the world. They chose Apple because Apple was the safest

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Keşfet

@OpenAIDevs @romainhuet @googleaidevs @demishassabis @SenseTime_AI @elonmusk @GeminiApp @emollick