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- 🥟 Chao-Down #155 Microsoft brings Python to Excel, OpenAI opens GPT-3.5 Turbo to fine-tuning, NVIDIA plans to triple H100 production, New speech to text models from Meta and ElevenLabs
🥟 Chao-Down #155 Microsoft brings Python to Excel, OpenAI opens GPT-3.5 Turbo to fine-tuning, NVIDIA plans to triple H100 production, New speech to text models from Meta and ElevenLabs
Plus, China keeps buying hobbled NVIDIA GPUs in the face of no other alternatives.
Some of the world's biggest advertisers, including Nestle and Unilever, are experimenting with generative AI to cut costs and increase productivity. Investment is already increasing as AI could alter the way advertisers bring products to market.
Marketing teams believe that generative AI technology will result in cheaper, faster, and virtually limitless ways to advertise products. The technology can create seemingly original text, images, and even computer code, based on training, instead of simply categorizing or identifying data like older generations of AI.
However, many companies remain wary of security and copyright risks, as well as unintended biases baked into the raw information feeding the software, meaning humans will remain part of the process for the foreseeable future.
One thing’s for sure, be prepare to see more AI-generated ads.
-Alex, your resident Chaos Coordinator.
What happened in AI? 📰
Nvidia Plans to Triple Production of Its $40,000 Chips As AI Boom Drives Demand (Business Insider)
OpenAI opens GPT-3.5 Turbo up for custom tuning (The Verge)
Introducing Python in Excel: The Best of Both Worlds for Data Analysis and Visualization (Microsoft Community Hub)
New IBM study reveals how AI is changing work and what HR leaders should do about it (IBM Blog)
From Mad Men to machines? Big advertisers shift to AI (Reuters)
China keeps buying hobbled Nvidia cards to train its AI models (Ars Technica)
Microsoft's Satya Nadella is winning big tech's AI war. Here's how (fastcompany.com)
Always be Learnin’ 📕 📖
Early days of AI — Rather then view LLMs, Transformers, and diffusion models as part of a continuum with past "AI", it is worth thinking of this as an entirely new era and discontinuity from the past (Elad Gil’s Blog)
I Made Stable Diffusion XL Smarter by Finetuning it on Bad AI-Generated Images (minimaxir.com)
Don't Fire Your Illustrator - Understanding (and Art Directing) AI image generators (Sam Bleckley)
Projects to Keep an Eye On 🛠
Introducing SeamlessM4T, a Multimodal AI Model for Speech and Text Translations (Meta)
ElevenLabs Comes Out of Beta and Releases Eleven Multilingual v2 - a Foundational AI Speech Model for Nearly 30 Languages (EleventLabs)
OpenPipe/OpenPipe: Test and deploy your LLM prompts in a data-driven way on an open-source and self-hostable platform (Github)
The Latest in AI Research 💡
Sigmoid Loss for Language Image Pre-Training (arxiv)
Likelihood-Based Text-to-Image Evaluation with Patch-Level Perceptual and Semantic Credit Assignment (arxiv)
GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds (arxiv)
The World Outside of AI 🌎
Some Amazon workers quit after being told to relocate to a new state (CNBC)
Elon Musk to remove headlines from news articles shared on X (Fortune)
Japan’s labor crunch drives companies to hire 70-year-olds (Quartz)
Thousands of scientists are cutting back on Twitter, seeding angst and uncertainty (nature.com)
Pig Kidney Transplanted Into Human Shows Way to Wider Use (Bloomberg)
Rising Alcohol Deaths Among Women Should Spur Public Health Campaign - (Bloomberg)
Emergency room doctors beg for help treating children with mental health illnesses (nbcnews.com)
One Last Bite 😋
Just to double click on how cool having Python in Excel is!