TLDR AI 2024-08-16

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Intel failed to produce AI processors for SoftBank's Project Izanagi, leading SoftBank to explore a partnership with TSMC. Despite setbacks, SoftBank remains committed to challenging major AI players with its own hardware and data center ecosystem, potentially backed by significant investment from global partners. The move could strain SoftBank's relationship with Arm clients as it risks direct competition.

Nous Research has released its flagship model. Trained on top of Llama 3, the model has strong performance and a great personality like many of the company's original models.

California's SB 1047, designed to prevent "critical harms" from large AI models, faces pushback from Silicon Valley, with stakeholders divided over its potential impact on innovation. Major industry figures and companies debate the bill's merits and consequences on AI development and safety. The bill, which requires AI model safety protocols and third-party audits, with enforcement and hefty fines outlined for non-compliance, is heading to a final Senate vote.

Tree search is an extremely active area of research for inference time computation for language models. This paper from Microsoft shows a particularly compelling case that enables small models to improve dramatically on mathematics problems.

Tuning models to align with human preferences usually requires some post training. However, when training these models it is not clear why one example is better than another. APO is a way for models to degrade existing examples and then use that degraded example to anchor the difference in preference.

MetaSeg is a powerful semantic segmentation network built on the MetaFormer architecture that enhances both the backbone and decoder of the network.

Iterative's new open-source tool lets you simplify AI projects and scale unstructured data management. With DataChain, you can source, curate, and version cloud data at scale; easily integrate metadata from various formats; parallelize local and API-based AI model inferences for 3x-10x speedup; and store AI model outputs as Python data objects.

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As Model Merging (MM) becomes a popular method for combining fine-tuned models without additional training, new security risks emerge. This paper introduces BadMerging, the first backdoor attack specifically targeting MM.

This post explores how long context models perform on various RAG tasks. Improving the number of examples can help. These models often fail in strange but predictable ways.

PeriodWave is a new model for universal waveform generation that excels in capturing the natural periodic features of high-resolution waveform signals.

A recent study found that labeling products as "AI-powered" can decrease consumer intent to purchase due to trust issues and fears of the unknown. The research suggests that both cognitive and emotional trust are factors, with people wary of AI's inner workings and risks, especially regarding personal data privacy. Companies are advised to focus on clear messaging about AI benefits rather than using "AI" as a buzzword.

Beautiful visualization of the inner workings of a Transformer.

This survey provides an in-depth review of model merging techniques, an increasingly popular method in machine learning that doesn't require raw training data or expensive computation.

With CVI, developers can build live video conversations with digital twins that feel real.

There was a significant increase in AI-capable PC shipments in Q2 2024 with 8.8 million units, representing 14% of total PCs shipped.

Apple's newly granted patent details a smart ring capable of health monitoring and controlling other Apple devices, hinting at possible integration with AR/VR headsets and smart glasses.