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I hope you appreciate links and reading about A.I. as much as I do! 🚀
This post is a quick link tool to completely get up to date (provided you have time to read) on what occured in A.I. during the last week to ten days. Week of October 30th, 2023.
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💬Introduction for Today🎯
The AI summit in the UK was supposed to be a big political and technological moment for the future of x-risk. Instead it felt like a PR moment for politicians and warnings and feuds by various A.I. personalities.
The A.I. News cycle was not very dynamic this week.
These days its the AI papers that are the more interesting of all of this if you are seriously into this topic, so I’ve gone into more detail there.
🚀Read A.I. Startups | 📑 Read A.I. Papers | 🌌 Quantum Foundry | 📊 Data Science
A Tweet on X (Elon Musk)
📢Top News 📺
UK invests $273 million in AI supercomputer as it seeks to compete with U.S., China
Microsoft: Copilot could drive Billions in revenue on the back of GPT-4 and GPT-5 (CNBC, projection report)
Together.AI: RedPajama-Data-v2: an Open Dataset with 30 Trillion Tokens for Training Large Language Models
Andrew Ng: Google Brain founder says big tech is lying about AI extinction danger
Yann LeCun: AI one-percenters seizing power forever is the real doomsday scenario, warns AI godfather (Insider)
AI Doomers Take Center Stage at the UK’s AI Summit (Bloomberg)
Day 1 of UK’s AI safety summit. Here’s what you need to know (Ben’s Bites)
A report by Ernst & Young (EY), one of the Big Four accounting firms, on the global AI regulatory landscape.
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🔗Partnership & Announcements🏭
Rishi Sunak confirms AI Safety Institute (TechCrunch)
Google rolls out generative AI tools for product images in the U.S.
Amazon: New AWS service lets customers rent Nvidia GPUs for quick AI projects
📰Noted Newsletters📬
Andrew Ng: Sensationalist claims that AI could bring about human extinction will cause serious harm.
Attenuating Innovation (AI) (Stratechery)
🏁 Start a Substack | 🔎 About | 🦸🏻♂️ Benefactor | 👥 Guest Posts
📝 Papers 🗏
GLM-130B: An Open Bilingual Pre-trained Model (Oct 5th) – Context (China)
Text Embeddings Reveal (Almost) As Much As Text (Oct 10th)
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior (October 25th)
Apple: Matryoshka Diffusion Models (MDM) (Oct 23rd, Apple) – Additional Context
Tencent: Progressive Conditional Diffusion Models (PCDMs) – Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models (Oct 10th)
Zephyr: Direct Distillation of LM Alignment
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Stanford: EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation – Context
To see New papers go here or here.
📱Semiconductor Notes📝
Apple: With its New M3 Chips, Apple joins the AI party
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🚀 Startups 🧠
Shield AI raises $200M at a $2.7B valuation to scale military autonomous flying tech
Anthropic: Dario Amodei’s prepared remarks from the AI Safety Summit on Anthropic’s Responsible Scaling Policy
OpenAI: Exclusive: Ilya Sutskever, OpenAI’s chief scientist, on his hopes and fears for the future of AI
💸Venture Capital🦄
Former Google CEO Eric Schmidt Bets AI Will Shake Up Scientific Research (Bloomberg)
🗳️ Weekly Poll 📊
💼 Business to Business (B2B)📈
Kuo: Apple expected to spend $4.75 billion on generative AI in 2024 alone
🎬Videos🎥
[link] Dr. Fei-Fei Li, the ‘Godmother’ of AI, Talks Regulation
⚒️Novel Tools🔥
The Always Up-to-date List of the 50 Best AI Tools in 2023 (ClickUp)
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👾Hacker News📰
Phind Claims Model beats GPT-4 at coding, with GPT-3.5-like speed and 16k context (Cannot be independently confirmed)
Meta’s Yann LeCun joins 70 others in calling for more openness in AI development (TechCrunch)
🤖 Robotics 🦿
(Repost) *Eureka: With GPT-4 overseeing training, robots can learn much faster – Nvidia Blog – Paper
Electric Sheep Startup: Building a full-stack robotics company in the age of large AI models (The Robot Report)
🥼Healthcare🩺
New rules for health agencies that use AI (Politico)
🧪 Science 🔬
Meta: Toward a real-time decoding of images from brain activity
A method to interpret AI might not be so interpretable after all (MIT)
💬 Open-Source LLMs 👐
Hindi LLM: Introducing NOLIN
Zephyr: Direct Distillation of LM Alignment
Anyscale service enables fine-tuning of open source LLMs (it’s called Endpoints)
💰Stock Market 🛒
Palantir shares pop 20% after its third-quarter results beat estimates on back of AI
AMD Predicts $2 Billion in Sales of AI Chips, Boosting Market Confidence
💀AGI and ASI 👽🌋
This AI Threat Summit Is a Doomer’s Paradise (Gizmodo)
🎓 Education & Learning📚
From Data Platform to ML Platform (Towards Data Science)
Finetuning LLMs with LoRA and QLoRA: Insights from Hundreds of Experiments
➡️ Prompt Engineering 🧠
RAG is Just Fancier Prompt Engineering (AIM)
🎥Videos & Podcasts🎙️
Bloomberg Originals: Inside the Race to Build Safe AI | Exponentially with Azeem Azhar – [link]
🎖️National Defense & Military🕊️
Shield AI raises $200M at a $2.7B valuation to scale military autonomous flying tech
🪐Space and Emerging Tech🛰️
🔮Future of Work & Automation🦾
The biggest winners — and losers — in the coming AI job apocalypse (Insider)
🐲 China A.I.🏯
Chinese scientists create chip that can perform AI task 3,000 times faster than Nvidia’s A100: study
🦹🏻♂️Dystopian 🗽
The Creepy New Digital Afterlife Industry
🏛Governance and Regulation⚖️
AI Safety Summit UK: 8 Hours Livestream (Day 1)
Challenges in evaluating AI systems (Anthopric)
‘Existential to who?’ US VP Kamala Harris urges focus on near-term AI risks
💬Opinion Editorial🙄
Everything We Know About Humane’s Bewildering New AI Pin
📣Public Relations💞
Microsoft, LinkedIn: LinkedIn passes 1 billion members and launches new AI chatbot to help you get a job
🙉Last Memes🎭
Elon Musk repeating his warnings while making fun of the AI Summit he was attending with a sad meme.
There’s a general moral decline in leadership around technology.
A special message from Andrew Ng for Halloween.
🗳️ Weekly Poll 📊
How significant is existential risk for the future of AI and civilization?
🏋️♀️ Thanks for skimming, I hope you managed to find something of interest. 👀
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