Issue 67

Highlights

Apple Intelligence is coming. Here’s what it means for your iPhone

Apple is about to launch a ChatGPT-powered version of Siri as part of a suite of AI features in iOS 18. Will this change the way you use your phone – and how does it affect your privacy?

Toward a code-breaking quantum computer

Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.

This Week in AI: Gen Z has mixed feelings on AI

This week, surveys suggest that Gen Z — regularly the subject of mainstream media fascination — has very mixed opinions on AI.

How Newtons method for estimating π shows it doesn't really matter if LLMs are Stochastic Parrots

The phrase "stochastic parrot" has emerged as a misguided but oft repeated pejorative for Large Language Models, suggesting that these models mimic human language without true understanding, much like…

Paper of the week

Exploring mixture of experts models

As foundational models get bigger it becomes harder to train them. We simply don't have enough compute power to train models in a reasonable time and budget. To fix this, people have turned to mixture of experts models. But how do they work? This paper explains one approach to use mixture of experts. It's advanced, but cool to see how much power you can push out of a deep learning model!

Video

Microsoft's Phi 3.5 - The latest SLMs

In this video I look at yesterday's releases of Phi 3.5 models which include the mini, a new Mixture of Experts model as well as the new 3.5 Vision model.

Designing High-Quality Synthetic Data for Training & Fine-tuning LLMs

At this critical juncture in AI development, we face a scarcity of novel, high-quality data for training and fine-tuning large language models (LLMs). This shortage poses significant challenges for organizations aiming to enhance model performance or adapt them to specialized domains. In this hour-long livestream, Yev Meyer, Ph.D., Chief Scientist at Gretel, will showcase the company's innovative solution to this bottleneck.

Copilot L33t Sp34k | Strategic considerations for AI security

Sarah and Mark Simos, Lead Cybersecurity Architect at Microsoft, chat about the strategic considerations for implementing Copilot for Security and AI more generally across an organisation. We also cover the AI shared responsibility model and how data protection is a key security control in the age of AI.

OpenAI's ChatGPT Does Research… And Breaks Itself!

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/paper

Articles

GENEVA uses large language models for interactive game narrative design

Designed for interactive storytelling in games, GENEVA lets users explore narrative paths and adapt stories to diverse contexts. It uses LLMs to generate and visualize branching narratives from high-level descriptions, representing them as graphs.

What Nobody Tells You About RAGs

A deep dive into why RAG doesn’t always work as expected: an overview of the business value, the data, and the technology behind it.

‘Never summon a power you can’t control’: Yuval Noah Harari on how AI could threaten democracy and divide the world

Forget Hollywood depictions of gun-toting robots running wild in the streets – the reality of artificial intelligence is far more dangerous, warns the historian and author in an exclusive extract from his new book.

Anthropic publishes the ‘system prompt’ that makes Claude tick

Generative AI models aren’t actually human-like. They have no intelligence or personality — they’re simply statistical systems predicting the likeliest next words in a sentence. But like interns at a tyrannical workplace, they do follow instructions without complaint — including initial “system prompts” that prime the models with their basic qualities, and what they should […]