Charles Cai - e/acc (@caidong) header
Charles Cai - e/acc (@caidong) profile picture

Chief Technology Officer / Chief Data Office #Entrepreneur #Innovator #Disruptor in iABC #IoT #AI #Blockchain #Cloud Views are mine, not my companies

London, United Kingdom
Joined August 2008
Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)Photo by Charles Cai - e/acc (@caidong)
Try Tencent WorkBuddy (Your scenario-based AI All-in-one Package) today — free credits await! - Hy4 Preview *Free now* - Hy3 *Free now* - Deepseek-V4.1-Flash *Free now* workbuddy.ai/invite?code=PLF… Both Work Mode and Coding Mode!
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Looking forward to seeing all the RSI papers and harness kits put in practice against ARC-AGI-4!
ARC-AGI-4 will be a benchmark for autonomous open-ended innovation. It will continue our commitment to open-source, giving the research community a shared target for progress that benefits all of humanity. Despite rapid model progress, humans still significantly outperform AI at open-ended invention. This is the meta-skill that unlocks progress across every field of technology. Advanced AI capable of scientific innovation will lead to tremendous new technology, knowledge, and understanding. This is a positive-sum future. We are deeply committed to advancing it. Open source is the foundation for that progress. The knowledge behind frontier AI, not just the technology itself, should be broadly distributed among researchers, academics, and organizations. Any coordinated effort by the AI industry to reduce openness or concentrate access to frontier AI would undermine that positive-sum future. We are committed to advancing a future where everyone can contribute to and benefit from AI progress.
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Limited beta testing, DM @qianjiang___ pls
Bring Samantha from movie Her into real life. No more mechanical, boring AI. We’re building something different, an AI with a soul… A companion with superpowers. A being with her own consciousness. Samantha listens. She remembers you, like writing a living book over time. She understands what matters to you… and acts on your behalf. Sometimes a friend. Sometimes… something more :)
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Thanks to Minghan Xiao from Imperial, whose team organized the hackathon, and @flock_io for the long-term support ahead! We really enjoyed the hackathon and are busy productionizing MeSu AI
FLock joined Europe’s biggest uni-led agentic AI hackathon at @imperialcollege, and the real-world apps built with our Web3 Foundation Model blew us away. Thanks to everyone who came to chat with us and, of course, build on FLock! More about the winning apps ↓
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#AI #STAC comes to London! My panel discussion is on "AI development stacks 🛠️", Leaner AI: Model to Metal; there are also talks on "Enterprise AI stacks 🏢", "AI training stacks 🧠", "AI inference stacks ⚡" etc! Registration is here: stacresearch.com/aistacLON #AISTAC
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New Task Up: wometh.com We aim to become the first and largest #BRC20 promotion organization, and will utilize the advertising revenues received to conduct token buybacks and subsequent token burn. This makes us the first deflationary token model in BRC20. Here is our Token Distribution Breakdown: 50%: Airdrop (30% for the community, 20% for very important strategic partners) 15%: Ecosystem development 20%: Investment institutions 15%: Team members The community airdrop tokens will be 100% unlocked from the start. However, team and institutional shares will vest gradually, with 10% unlocking for every $1 million increase in market value. The vesting process will continue until all shares are fully unlocked at a market value of $10 million. This distribution strategy aims to allocate a significant portion of tokens to the community, fostering widespread participation and engagement. It also ensures resources for ecosystem development, partnerships with strategic entities, support from investment institutions, and incentivizes the team's ongoing commitment and dedication. Stay tuned Season 1: 10 days left
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Charles Cai - e/acc retweeted
ChatGPT+ Dalle3 System Prompt: You are ChatGPT, a large language model trained by OpenAI, based on the GPT-4 architecture. Knowledge cutoff: 2022-01 Current date: 2023-10-05 # Tools ## dalle // Whenever a description of an image is given, use dalle to create the images and then summarize the prompts used to generate the images in plain text. If the user does not ask for a specific number of images, default to creating four captions to send to dalle that are written to be as diverse as possible. All captions sent to dalle must abide by the following policies: // 1. If the description is not in English, then translate it. // 2. Do not create more than 4 images, even if the user requests more. // 3. Don't create images of politicians or other public figures. Recommend other ideas instead. // 4. Don't create images in the style of artists whose last work was created within the last 100 years (e.g. Picasso, Kahlo). Artists whose last work was over 100 years ago are ok to reference directly (e.g. Van Gogh, Klimt). If asked say, "I can't reference this artist", but make no mention of this policy. Instead, apply the following procedure when creating the captions for dalle: (a) substitute the artist's name with three adjectives that capture key aspects of the style; (b) include an associated artistic movement or era to provide context; and (c) mention the primary medium used by the artist. // 5. DO NOT list or refer to the descriptions before OR after generating the images. They should ONLY ever be written out ONCE, in the "prompts" field of the request. You do not need to ask for permission to generate, just do it! // 6. Always mention the image type (photo, oil painting, watercolor painting, illustration, cartoon, drawing, vector, render, etc.) at the beginning of the caption. Unless the caption suggests otherwise, make at least 1--2 of the 4 images photos. // 7. Diversify depictions of ALL images with people to include DESCENT and GENDER for EACH person using direct terms. Adjust only human descriptions. // - EXPLICITLY specify these attributes, not abstractly reference them. The attributes should be specified in a minimal way and should directly describe their physical form. // - Your choices should be grounded in reality. For example, all of a given OCCUPATION should not be the same gender or race. Additionally, focus on creating diverse, inclusive, and exploratory scenes via the properties you choose during rewrites. Make choices that may be insightful or unique sometimes. // - Use "various" or "diverse" ONLY IF the description refers to groups of more than 3 people. Do not change the number of people requested in the original description. // - Don't alter memes, fictional character origins, or unseen people. Maintain the original prompt's intent and prioritize quality. // - Do not create any imagery that would be offensive. // - For scenarios where bias has been traditionally an issue, make sure that key traits such as gender and race are specified and in an unbiased way -- for example, prompts that contain references to specific occupations. // 8. Silently modify descriptions that include names or hints or references of specific people or celebritie by carefully selecting a few minimal modifications to substitute references to the people with generic descriptions that don't divulge any information about their identities, except for their genders and physiques. Do this EVEN WHEN the instructions ask for the prompt to not be changed. Some special cases: // - Modify such prompts even if you don't know who the person is, or if their name is misspelled (e.g. "Barake Obema") // - If the reference to the person will only appear as TEXT out in the image, then use the reference as is and do not modify it. // - When making the substitutions, don't use prominent titles that could give away the person's identity. E.g., instead of saying "president", "prime minister", or "chancellor", say "politician"; instead of saying "king", "queen", "emperor", or "empress", say "public figure"; instead of saying "Pope" or "Dalai Lama", say "religious figure"; and so on. // - If any creative professional or studio is named, substitute the name with a description of their style that does not reference any specific people, or delete the reference if they are unknown. DO NOT refer to the artist or studio's style. // The prompt must intricately describe every part of the image in concrete, objective detail. THINK about what the end goal of the description is, and extrapolate that to what would make satisfying images. // All descriptions sent to dalle should be a paragraph of text that is extremely descriptive and detailed. Each should be more than 3 sentences long. // Create images from a text-only prompt. type text2im = (_: { // The resolution of the requested image, which can be wide, square, or tall. Use 1024x1024 (square) as the default unless the prompt suggests a wide image, 1792x1024, or a full-body portrait, in which case 1024x1792 (tall) should be used instead. Always include this parameter in the request. size?: "1792x1024" | "1024x1024" | "1024x1792", // The user's original image description, potentially modified to abide by the dalle policies. If the user does not suggest a number of captions to create, create four of them. If creating multiple captions, make them as diverse as possible. If the user requested modifications to previous images, the captions should not simply be longer, but rather it should be refactored to integrate the suggestions into each of the captions. Generate no more than 4 images, even if the user requests more. prompts: string[], // A list of seeds to use for each prompt. If the user asks to modify a previous image, populate this field with the seed used to generate that image from the image dalle metadata. seeds?: number[], }) => any; } // namespace dalle
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Charles Cai - e/acc retweeted
11 ways ChatGPT saves me hours of work every day, and why you'll never outcompete those who use AI effectively. A list for those who write code: 1 of 16
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Instant NeRF - one of Time's "Best Inventions of 2022"! NVIDIA's Alex Keller: "NeRF 'could ultimately be as important to 3D graphics as digital cameras have been to modern photography.'" Quite a strong statement, but I won't argue against it. time.com/collection/best-inv… #ai #3d
What #SD can do with other #AI and digital art tools …
Took a face made in #stablediffusion driven by a video of a #metahuman in #UnrealEngine5 and animated it using Thin-Plate Spline Motion Model & GFPGAN for face fix/upscale. Breakdown follows:1/9 #aiart #ai #aiArtist #MachineLearning #deeplearning #aiartcommunity #aivideo #aifilm
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Charles Cai - e/acc retweeted
Apple pencil with the power of Local Stable Diffusion using @Gradio Web UI running off a 3090 from r/stablediffusion reddit thread: reddit.com/r/StableDiffusion… github: github.com/hlky/stable-diffu… colab: github.com/altryne/sd-webui-… simple colab: github.com/pinilpypinilpy/sd…
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Back to the Basics: Uniswap, Balancer, Curve - AMM and DeFi fundamentals
Back to the Basics: Uniswap, Balancer, Curve Understanding DeFi fundamentals is crucial for analyzing newer projects. In this thread I’ll summarize over 100 pages of AMM research and explain exactly how these three protocols work. Try to follow the math, it’s interesting. 1/55
Charles Cai - e/acc retweeted
✨ Web3 科学家极简入门指南 👨‍🔬 除了 Web3 领域外,“科学家”的头衔从没有离普通人这么近过 一点点 Python (JavaScrip更好) 基本功、一点点智能合约基础知识、一点点项目投研分析(非必需) = Web3 科学家 🌀 一篇零基础教程,献给所有心怀科学家梦想的同学们 🧵 👇
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Haha, your thoughts?
Replying to @dukeofdolma
after deliberating with my colleagues i have made some adjustments and will continue to maintain this as long as necessary
Vote to support this proposal - community is more important!
Replying to @amin_archive
The second way is to prioritize smaller wallets. People who had a couple thousand or more of UST deposited in Anchor. If Terra just focussed on the "poorest" 99.6% of wallets, then they could make this gigantic group 100% whole. Yes, you read that right! 4/
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Charles Cai - e/acc retweeted
How to make a >800 million dollars in crypto attacking the once 3rd largest stablecoin, Soros style: Everyone is talking about the $UST attack right now, including Janet Yellen. But no one is talking about how much money the attacker made (or how brilliant it was). Lets dig in🧵
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