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Lore #75: Apple Gave Up on Building AI
Nathan Lands
March 20, 2024
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Good morning,
What a wild ride the AI world has been lately! It seems like every week brings a new groundbreaking development, and this week was no exception.
First up, a sad day for Apple fans. After abandoning their car project, it appears they've also decided to give up on building their own AI. Instead, they've struck a deal with Google to power their AI efforts. I’m honestly pretty disappointed by this development. It feels like something is missing at Apple.
But anyway, it's a fascinating move that highlights the emerging big-tech alliances shaping the future of AI:
Google + Apple
Microsoft/OpenAI + possibly Amazon (they recently co-invested in Figure, a robotics company, so I have a feeling they will end up collaborating on AI in some form)
Tesla + X(which just open-sourced their LLM Grok)
Meta + IBM
On a personal note, I've been extensively testing Claude 3 Opus, and it’s awesome. It's now my go-to AI assistant, except for cases where I need the LLM to have personal information about me for customized advice (ChatGPT is still the best there because of custom instructions).
In other news, Sam Altman dropped a bombshell in his recent interview with Lex Fridman. He claimed that GPT-4 sucks compared to GPT-5, which he believes will be the true turning point in AI history. Considering how successful ChatGPT has been, that’s a huge statement that really reinforces all of the rumors coming out of Silicon Valley about how good GPT-5 is.
We continue to accelerate. With GPT-5 on the way, and GTC looking like Coachella this year, it’s obvious we’re not slowing down until AGI.
P.S. I'm excited to share that my old friend Niero, best known for creating the game news site Destructoid, is partnering with us for a few months to support this newsletter.
He's offering an exclusive deal on Graydient, his AI platform that provides unlimited Stable Diffusion and unfiltered language models. Be sure to check it out and show your support! 🙏
Together AI raised $106M for open-source AI models (Link)
Hippocratic AI raised $53M for its safety-focused LLM for healthcare (Link)
Proscia raised $46M for digital pathology software (Link)
Unstructured raised $40M to make raw data LLM-ready (Link)
HiLabs raised $39M to propel AI-driven data management solutions for healthcare entities (Link)
Pi Health raised $30M for cancer treatment (Link)
Nanonets raised $29M to produce an autonomous AI agent for back-office operations (Link)
Lily AI raised $20M for its retail AI platform (Link)
Cureskin raised $20M for its dermatology platform (Link)
RapidCanvas raised $7.5M for its auto AI platform built for businesses (Link)
Big Sur raised $6.9M for its e-commerce platform (Link)
Redcoat raised $4.24M for cybersecurity defense (Link)
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Apple is in discussions to integrate Google's Gemini AI engine into the iPhone, aiming to enhance upcoming iPhone software features. The terms and implementation details remain undecided, and an announcement is not expected until Apple's annual developer conference in June. Apple's exploration of AI collaborations also includes talks with OpenAI.
A potential agreement could significantly extend Google's AI reach across Apple's extensive device ecosystem, possibly addressing investor concerns over Apple's AI innovation pace.
NVIDIA just launched its Blackwell GPU architecture. With six revolutionary technologies, it promises up to 25 times less cost and energy consumption for running real-time generative AI on trillion-parameter LLMs. It's designed for breakthroughs in various fields, including data processing, engineering simulation and AI. Major cloud providers, server makers and leading AI companies are expected to adopt Blackwell, with endorsements from CEOs across the tech industry.
Other news
NVIDIA Launches Generative AI Microservices for Developers to Create and Deploy Generative AI Copilots Across NVIDIA CUDA GPU Installed Base (Link)
Microsoft and NVIDIA announce major integrations to accelerate generative AI for enterprises everywhere (Link)
Hey YouTube creators, it’s time to start labeling AI-generated content in your videos (Link)
Lex Fridman talks with Sam Altman
OpenAI + Figure
OpenAI + Figure
conversations with humans, on end-to-end neural networks:
→ OpenAI is providing visual reasoning & language understanding
→ Figure's neural networks are delivering fast, low level, dexterous robot actions(thread below)
— Brett Adcock (@adcock_brett)
2:01 PM • Mar 13, 2024
Extropic generates randomness using heat
Guillaume and Trevor have invented a new computing paradigm: not classical, not quantum, but thermodynamic.
@Extropic_AI harnesses entropy — literal heat — to generate randomness, enabling faster & more energy-efficient AI accelerators.
It's mind-bending tech. Let's dive deep. twitter.com/i/web/status/1…
— Christian Keil (@pronounced_kyle)
1:23 AM • Mar 12, 2024
Nvidia’s digital twin of Earth predicts weather patterns
Among the things that AI makes better: Weather prediction
Nvidia created a digital twin, called Earth 2, to simulate extreme weather events and calculate impacts.
It's 10x more precise than existing predictions, should allow for mitigation of extreme weather impacts.
— Sheel Mohnot (@pitdesi)
9:23 PM • Mar 18, 2024
Project GR00T
Today is the beginning of our moonshot to solve embodied AGI in the physical world. I’m so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning.
The GR00T model will enable a robot to understand multimodal… twitter.com/i/web/status/1…
— Jim Fan (@DrJimFan)
10:54 PM • Mar 18, 2024
Find more tools at FutureTools.io.
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training (Link)
MoAI: Mixture of All Intelligence for Large Language and Vision Models (Link)
Stealing Part of a Production Language Model (Link)
Adding NVMe SSDs to Enable and Accelerate 100B Model Fine-tuning on a Single GPU (Link)
Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset (Link)
That's it!
See you next week!
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