The Daily Index — Wednesday, March 6, 2024 · TLDR Index

Across today’s newsletters

Today’s Index

TLDR

OPENAI AND ELON MUSK

OpenAI has released a statement detailing its mission and facts about the company's relationship with Elon Musk. The company plans to dismiss all of the claims from Musk's recent lawsuit. OpenAI partnered with Microsoft as it realized that it needed a lot more capital to succeed at its mission of achieving Artificial General Intelligence. It continues to advance its mission by building widely-available beneficial tools. OpenAI's statement includes an email exchange between Musk and OpenAI regarding funding.

openai.com · 10 min

TLDR AI

* ARCHITECTING GEN AI SUCCESS: WINNING PATTERNS FOR GOOGLE WORKSPACE & CLOUD

Secure your spot now with the special rate of $1,299 USD by using the code LEARNATNEXT by 11:59 PM PT by March 10, 2024.

cloud.withgoogle.com

TLDR Web Dev

REACT 19: EVERYTHING YOU NEED TO KNOW IN ONE PLACE

React 19 introduces several significant improvements designed to streamline development and boost application performance. Key features include a performance-enhancing compiler, simplified form handling with Actions, server-side rendering optimizations with Server Components, and better integration with Web Components. The update promises faster rendering, smoother user experiences, and easier development workflows.

daily.dev · 6 min

TLDR InfoSec

REPORT UNCOVERS MASSIVE SALE OF COMPROMISED CHATGPT CREDENTIALS

New research shows that over 225,000 logs containing compromised OpenAI ChatGPT credentials were sold on underground markets between January and October 2023. The data came from devices infected with information stealer malware like LummaC2 and RedLine. Over 130,000 unique hosts with ChatGPT access were infiltrated during June-October alone, a 36% rise from earlier 2023.

hackread.com · 4 min

TLDR Crypto

BITCOIN TUMBLES 10% AFTER HITTING RECORD HIGH; TRIGGERS $1B CRYPTO LIQUIDATIONS

Bitcoin broke its all-time high yesterday, eclipsing $69,000 before swiftly dropping to $59,700 after a sharp sell-off. This sharp drop led to over $1 billion in liquidations, one of the largest liquidation events since the last cycle. In the hours after this liquidation cascade, Bitcoin recovered to $62-$63k with overall leverage at a much lower level.

finance.yahoo.com · 3 min

TLDR

DELL EXEC REVEALS NVIDIA HAS A 1,000-WATT GPU IN THE WORKS

Nvidia's B200 AI accelerator will consume 1,000 watts without requiring liquid cooling. The chip isn't expected to launch until late 2024. Nvidia plans to launch its H200 GPUs in the next few months. The company claims the H200 can double the performance of large language models thanks to its HBM3e memory stacks, which provide 4.8TB/second of bandwidth.

theregister.com · 3 min

TLDR

I WORKED EXCLUSIVELY IN VISION PRO FOR A WEEK — HERE’S HOW IT WENT

The Apple Vision Pro's $3,500 price tag would be much easier to justify if it managed to replace multiple devices at once, just like the iPhone did when it first arrived. It is possible to get serious work done while wearing the Vision Pro - if you can work on an iPad, you can work on a Vision Pro. However, it can't replace a Mac for everyone due to lacking some heavy-duty applications. One big downside is the lack of a practical way to use the Vision Pro in meetings.

arstechnica.com · 22 min

TLDR

NERDY INTERNALS OF AN APPLE TEXT EDITOR 👨🏻🔧

This article discusses engineering details behind Paper, a text editor for Apple platforms. While Paper is built on the older TextKit 1 framework, all of the concepts, abstractions, and principles discussed in the article still apply to TextKit 2, either unchanged or under a better API. The article covers the TextView class, syntax highlighting, styling, typing, performance, sharing, and much more.

papereditor.app · 19 min

TLDR

TRAINING GREAT LLMS ENTIRELY FROM GROUND ZERO IN THE WILDERNESS AS A STARTUP

Training AI models requires compute, but there's a large amount of instability and huge variance in the quality of clusters, accelerators, and connectivity in compute providers. This article discusses the differences between training models at Google and training models 'in the wild' - outside of Google, where data scientists have to use GPUs instead of Google's TPUs. It makes comparisons between Google's infrastructure and tools to their equivalents in the outside world. With the right amount of brute technical strength, it is possible to train models from scratch that match Gemini Pro/GPT 3.5.

yitay.net · 15 min