Wednesday, June 19, 2024

Musk drops OpenAI case - Martin Crowley, AI Tool Report

Musk gave no indication that he was planning to withdraw his lawsuit (in fact, it was only a month ago that his lawyers filed a challenge to force the original case judge to remove himself from the trial) and didn’t give any explanation about his sudden decision. But it comes just one day before the scheduled hearing in San Francisco, where a judge was set to review OpenAI’s request for a case dismissal, and one day after he wildly threatened to ban all Apple devices from his businesses after the Apple and OpenAI partnership was announced at Apple’s developer conference.  

How calls for AI safety could wind up helping heavyweights like OpenAI - Mark Sullivan, Fast Company

Ultimately, companies such as OpenAI aren’t harmed by any of this hand-wringing over safety worries. In fact, they’re helped by it. This news cycle feeds the hype that AI models are on the cusp of achieving “artificial general intelligence,” which would mean models are generally better than human beings at thinking tasks (still aspirational today). And besides, if governments are moved to put tight regulations on AI development, it’ll only entrench the well-monied tech companies that have already built them.

Tuesday, June 18, 2024

Apple Integrates ChatGPT Across Platforms, Unveils Apple Intelligence - Liz Hughes, AI Business

Apple is integrating ChatGPT across its platforms with its new AI software, Apple Intelligence, bringing generative AI to the iPhone, iPad and Mac. The much-anticipated announcement was made during Monday’s keynote at Apple’s Worldwide Developer Conference where Apple CEO Tim Cook said Apple Intelligence will transform what users can do with Apple’s products and what the products can do for their users in this new chapter in Apple innovation.

Apple staged the AI comeback we've been hoping for - but here's where it still needs work - Jason Perlow, ZDnet

During WWDC 2024, Apple introduced the Apple Intelligence platform, which brings generative artificial intelligence (AI) and machine learning to the forefront. This platform utilizes large language and generative models to handle text, images, and in-app actions. This initiative integrates advanced AI capabilities across the Apple ecosystem to transform device interaction. However, current iPhone and iPad users might need to upgrade their devices to take full advantage of these benefits. 

Monday, June 17, 2024

Navigating the generative AI disruption in software - Jeremy Schneider and Tejas Shah with Joshan Cherian Abraham, McKinsey

For all the impressive revelations and technical feats unleashed by the sudden emergence of generative AI (gen AI), one of the most astounding aspects has been the accelerated pace of its adoption, particularly by businesses. Consider that large global enterprises spent around $15 billion on gen AI solutions in 2023, representing about 2 percent of the global enterprise software market. To put that level of growth in perspective, it took four years for enterprise spending on the industry’s last major transformation—software-as-a-service (SaaS)—to reach that same market share milestone (Exhibit 1).

Apple announces Apple Intelligence, its multi-modal generative AI service for Mac, iPhone, iPad - Carl Franzen, Venture Beat

Apple Intelligence, a much-rumored new service combining multiple AI models that aims to provide personalized, private, and secure capabilities across Mac, iPhone, and iPad devices. “It’s aware of your personal data without collecting your personal data,” said Craig Federighi, Apple’s senior vice president of Software Engineering, during the company’s keynote address, pitching the service as more private and secure than rivals by running on-device and on private clouds, depending on the AI models that are used.

Sunday, June 16, 2024

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value - McKinsey

Interest in generative AI has also brightened the spotlight on a broader set of AI capabilities. For the past six years, AI adoption by respondents’ organizations has hovered at about 50 percent. This year, the survey finds that adoption has jumped to 72 percent (Exhibit 1). And the interest is truly global in scope. Our 2023 survey found that AI adoption did not reach 66 percent in any region; however, this year more than two-thirds of respondents in nearly every region say their organizations are using AI.1 Looking by industry, the biggest increase in adoption can be found in professional services.2

Make ChatGPT 10x better - OpenAI, Taft Notion

OpenAI has a prompting guide. And it's really good! 

Here are their 6 strategies to making ChatGPT 10x better: 
1. Write clear instructions
2. Provide reference text
3. Split complex tasks into simpler subtasks
4. Give the model time to "think"
5. Use external tools
6. Test changes systematically

Saturday, June 15, 2024

How to lose your job to AI. - Julia McCoy, YouTube

As an eternal optimist and opportunist, I like to remain one step ahead. Stay to the end – there’s real hope and a call to action that could save your career, life, and legacy. Truth is, we need to be ready for when AI automates 100% of human labor. This video will help your mindset go in the right direction. Maybe one that's uncomfortable and feels entirely new to you. But very, very much needed.

Doing Stuff with AI: Opinionated Midyear Edition - Ethan Mollick, One Useful Thing

The core of serious work with generative AI is the Large Language Model, the technology enabled by the paper celebrated in the song above. I won’t spend a lot of time on LLMs and how they work, but there are now some excellent explanations out there. My favorites are the Jargon-Free Guide and this more technical (but remarkably clear) video, but the classic work by Wolfram is also good. You don’t need to know any of these details, since LLMs don’t require technical knowledge to use, but they can serve as useful background. To learn to do serious stuff with AI, choose a Large Language Model and just use it to do serious stuff - get advice, summarize meetings, generate ideas, write, produce reports, fill out forms, discuss strategy - whatever you do at work, ask the AI to help.

Friday, June 14, 2024

The Reversal Curse Returns - JURGEN GRAVESTEIN, Substack

The ‘Reversal Curse’ refers to a 2023 study that showed that large language models that learn “A is B” don’t automatically generalize “B is A”. A recent pre-print paper that focuses on medical Visual Question Answering (MedVQA) suggest this phenomenon also transfers to multimodal models. Uh-oh! While these models continue to shatter records on industry benchmarks, the researchers call into question the robustness of these evals: what are they even measuring?

OpenAI's new financial milestone - Martin Crowley, AI Tool Report

During an internal all-hands meeting on Wednesday, OpenAI CEO, Sam Altman, announced that the company is set to hit $3.4B in annual revenue this year, which is double what it made last year. OpenAI’s revenue has grown rapidly since it launched ChatGPT—making $1.3B in 2023—thanks to its strategic initiatives, including enterprise partnerships and advancing its AI models. OpenAI clearly plans to maintain this rapid growth trajectory, as it recently hired a new CFO (ex-Nextdoor CEO, Sarah Friar) who will manage OpenAI’s finances and support global growth.This comes after Apple confirmed its partnership with OpenAI during its developer conference this week, which will see ChatGPT integrated into its devices and voice assistant, Siri, but this partnership might not contribute to OpenAI’s annualized revenue.

Thursday, June 13, 2024

AI used to predict potential new antibiotics in groundbreaking study - Eric Berger, the Guardian

A new study used machine learning to predict potential new antibiotics in the global microbiome, which study authors say marks a significant advance in the use of artificial intelligence in antibiotic resistance research. The report, published Wednesday in the journal Cell, details the findings of scientists who used an algorithm to mine the “entirety of the microbial diversity that we have on earth – or a huge representation of that – and find almost 1m new molecules encoded or hidden within all that microbial dark matter”, said C├ęsar de la Fuente, an author of the study and professor at the University of Pennsylvania. De la Fuente directs the Machine Biology Group, which aims to use computers to accelerate discoveries in biology and medicine.

Introducing Stable Audio Open - An Open Source Model for Audio Samples and Sound Design -

Stable Audio Open is an open source text-to-audio model for generating up to 47 seconds of samples and sound effects. Users can create drum beats, instrument riffs, ambient sounds, foley and production elements. The model enables audio variations and style transfer of audio samples. Stable Audio Open, on the other hand, specialises in audio samples, sound effects and production elements. While it can generate short musical clips, it is not optimised for full songs, melodies or vocals. This open model provides a glimpse into generative AI for sound design while prioritising responsible development alongside creative communities. The new model was trained on audio data from FreeSound and the Free Music Archive. This allowed us to create an open audio model while respecting creator rights.