What is Apple Intelligence, when is it coming and who will get it? (6 minute read)
Apple introduced Apple Intelligence at WWDC 2024, focusing on integrating AI features into existing apps like Mail, Messages, and Siri. The platform uses large language models for tasks such as text summarization and image generation, aiming for a seamless user experience. A beta version will roll out in the U.S. this October, with broader international support planned for 2025.
|
Here's how 7 news audience directors are thinking about Google's AI Overviews (12 minute read)
Google's AI Overviews, powered by the Gemini language model, faced heavy criticism for inaccuracies and dangerous suggestions after its U.S. launch. Despite the backlash, Google expanded the feature to six more countries, raising concerns among publishers about reduced traffic and misrepresented content. AI strategists and SEO experts emphasize the need for transparency and better citation practices to maintain trust and traffic.
|
New open source AI leader Reflection 70B's performance questioned (5 minute read)
HyperWrite's Reflection 70B, a variant of Meta's Llama 3.1 LLM, is facing scrutiny after third-party evaluators couldn't replicate its claimed performance. Issues were attributed to model weights being corrupted during the upload to Hugging Face, which led to discrepancies. The AI community awaits further responses and updates to clarify the model's actual capabilities.
|
|
Imitating Language via Scalable Inverse Reinforcement Learning (28 minute read)
Much of modern language modeling is a specific case of imitation learning. Fortunately, there is a depth of study in the field broadly. This paper explores how to use inverse reinforcement learning to imitate entire sequences instead of just tokens. The results are promising and point in the direction of continued RL in language model training pipelines.
|
|
3D Scene Understanding (2 minute read)
Researchers conducted a study comparing seven different visual encoding models for 3D scene understanding and found that the best model depends on the task. DINOv2 performed the best overall. Video models excelled in object-level tasks and diffusion models were best for geometric tasks. Language-pretrained models had surprising limitations.
|
|
Diffusion is spectral autoregression (27 minute read)
Diffusion models and autoregressive models are fundamentally similar, both using iterative refinement processes. Using Fourier transform techniques, this author shows how diffusion models operate like approximate autoregression in the frequency domain, particularly for visual data. This insight highlights potential directions for unifying generative modeling approaches across different data types.
|
Why We Fear Diverse Intelligence Like AI (18 minute read)
The rise of AI and diverse intelligences challenges outdated distinctions between "real beings" and machines. Instead of focusing solely on AI, people should understand and ethically engage with diverse cognitive systems, including bioengineered, robotic, and hybrid entities. Expanding our definitions of intelligence and compassion will help navigate the ethical landscape of emerging technologies.
|
|
|
Love TLDR? Tell your friends and get rewards!
|
|
Share your referral link below with friends to get free TLDR swag!
|
|
|
|
| Track your referrals here. |
|
Want to advertise in TLDR? 📰
|
If your company is interested in reaching an audience of AI professionals and decision makers, you may want to advertise with us.
If you have any comments or feedback, just respond to this email!
Thanks for reading,
Andrew Tan & Andrew Carr
|
|
|
|