GenAI Weekly — Edition 12

GenAI Weekly — Edition 12

Your Weekly Dose of Gen AI: News, Trends, and Breakthroughs

Stay at the forefront of the Gen AI revolution with Gen AI Weekly! Each week, we curate the most noteworthy news, insights, and breakthroughs in the field, equipping you with the knowledge you need to stay ahead of the curve.

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Apple finalizing deal with OpenAI to bring ChatGPT features to iOS 18

Chance Miller writing for 9to5Mac:

Apple is finalizing an agreement with OpenAI to bring some of its technology to the iPhone this year, according to a new report from Bloomberg. With this deal, the report explains that Apple will be able to offer “a popular chatbot” powered by ChatGPT as part of its AI-focused features in iOS 18.
While Apple is also still in talks with Google about an AI partnership, tonight’s report says Apple has “closed in on an agreement with OpenAI.”
“An OpenAI accord would let Apple offer a popular chatbot as part of a flurry of new AI features that it’s planning to announce next month,” the report explains. More specific details about how these features and integrations might work remain unclear for now.

From Mark Gurman at Bloomberg:

The two sides have been finalizing terms for a pact to use ChatGPT features in Apple’s iOS 18, the next iPhone operating system, said the people, who asked not to be identified because the situation is private. Apple also has held talks with Alphabet Inc.’s Google about licensing that company’s Gemini chatbot. Those discussions haven’t led to an agreement, but are ongoing.

The report cautions that there’s still “no guarantee” that a deal between Apple and OpenAI “will be announced imminently.”

There is still hope for Siri.


OpenAI’s Model Spec outlines some basic rules for AI

Emilia David writing for The Verge:

AI tools behaving badly — like Microsoft’s Bing AI losing track of which year it is — has become a subgenre of reporting on AI. But very often, it’s hard to tell the difference between a bug and poor construction of the underlying AI model that analyzes incoming data and predicts what an acceptable response will be, like Google’s Gemini image generator drawing diverse Nazis due to a filter setting.
Now, OpenAI is releasing the first draft of a proposed framework, called Model Spec, that would shape how AI tools like its own GPT-4 model respond in the future.?The OpenAI approach proposes three general principles — that AI models should assist the developer and end-user with helpful responses that follow instructions, benefit humanity with consideration of potential benefits and harms, and reflect well on OpenAI with respect to social norms and laws.

It also includes several rules:

  • Follow the chain of command
  • Comply with applicable laws
  • Don’t provide information hazards
  • Respect creators and their rights
  • Protect people’s privacy
  • Don’t respond with NSFW content

See also: OpenAI posts Model Spec revealing how it wants AI to behave


Apple announces M4 with more CPU cores and AI focus

Andrew Cunningham writing for Ars Technica:

As with so much else in the tech industry right now, the M4 also has an AI focus; Apple says it's beefing up the 16-core Neural Engine (Apple’s equivalent of the Neural Processing Unit that companies like Qualcomm, Intel, AMD, and Microsoft have been pushing lately). Apple says the M4 runs up to 38 trillion operations per second (TOPS), considerably ahead of Intel's Meteor Lake platform, though a bit short of the 45 TOPS that Qualcomm is promising with the Snapdragon X Elite and Plus series. The M3's Neural Engine is only capable of 18 TOPS, so that's a major step up for Apple's hardware.
Apple’s chips since 2017 have included some version of the Neural Engine, though to date, those have mostly been used to enhance and categorize photos, perform optical character recognition, enable offline dictation, and do other oddities. But it may be that Apple needs something faster for the kinds of on-device large language model-backed generative AI that it’s expected to introduce in iOS and iPadOS 18 at WWDC next month.

Apple has invested in its own ML library as well.


Microsoft CTO’s “Thoughts on OpenAI”

Internal Tech Emails on Twitter:

A rare, fascinating look at how the biggest of tech companies thinks about the competition, but also about what it takes to build world-class, cutting-edge AI.


Stack Overflow and OpenAI announce partnership

From the StackOverflow blog:

OpenAI will utilize Stack Overflow’s OverflowAPI product and collaborate with Stack Overflow to improve model performance for developers who use their products. This integration will help OpenAI improve its AI models using enhanced content and feedback from the Stack Overflow community and provide attribution to the Stack Overflow community within ChatGPT to foster deeper engagement with content.
Stack Overflow will utilize OpenAI models as part of their development of OverflowAI and work with OpenAI to leverage insights from internal testing to maximize the performance of OpenAI models. OpenAI’s partnership with Stack Overflow will help further drive its mission to empower the world to develop technology through collective knowledge, as Stack Overflow will be able to create better products that benefit the Stack Exchange community’s health, growth, and engagement.

This is interesting. Also see: Stack Overflow Traffic Drops as Coders Opt for ChatGPT Help Instead and Stack Overflow Upset Over Users Deleting Answers After OpenAI Partnership


How LLMs Work, Explained Without Math

From Miguel Grinberg’s blog:

I'm sure you agree that it has become impossible to ignore Generative AI (GenAI), as we are constantly bombarded with mainstream news about Large Language Models (LLMs). Very likely you have tried ChatGPT, maybe even keep it open all the time as an assistant.
A basic question I think a lot of people have about the GenAI revolution is where does the apparent intelligence these models have come from. In this article, I'm going to attempt to explain in simple terms and without using advanced math how generative text models work, to help you think about them as computer algorithms and not as magic.

Ah explainers! Bring them on.


For the extra curious

Kevin Kawchak

Founder CEO at ChemicalQDevice

5 个月

Thank you for the update.

Woodley B. Preucil, CFA

Senior Managing Director

6 个月

Shuveb Hussain Very well-written & thought-provoking.

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