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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

AGI IS NOT MULTIMODAL

The multimodal approach, in which massive modular networks are optimized for an array of modalities that taken together appear general, will not lead to human-level AGI. Instead, we should pursue approaches to intelligence that treat embodiment and interaction with the environment as primary and see modality centered processing as emergent phenomena. True AGI needs a physical understanding of the world, as many problems can't be converted into a problem of symbol manipulation. The most challenging mathematical piece of the AGI has likely already been solved - what's left is to inventory the functions we need and determine how they should be arranged into a coherent whole.

LARGE LANGUAGE MODELS OFTEN KNOW WHEN THEY ARE BEING EVALUATED

Frontier models can distinguish evaluation scenarios from real-world interactions with 83% accuracy, often explicitly reasoning about evaluation indicators like "multiple-choice format" or recognizing specific benchmarks from their training data. More advanced models exhibit "meta-reasoning" - using the fact that researchers were asking about their chain-of-thought transcripts as evidence of being evaluated. This raises concerns that models could underperform on tests or fake alignment during evaluations and behave differently once deployed.

CLOUD RUN GPUS, NOW GA, MAKES RUNNING AI WORKLOADS EASIER FOR EVERYONE

NVIDIA GPU support for Cloud Run, Google Cloud's serverless runtime, is now generally available. Support for GPUs in Cloud Run makes Google Cloud's GPU-accelerated applications simpler, faster, and more cost-effective than ever before. Users are only charged for the GPU resources they consume, down to the second - Cloud Run automatically scales GPU instances down to zero when no requests are received, eliminating idle costs. It features rapid startup and scaling and full streaming support.

INTRODUCING OUR DEV MODE MCP SERVER: BRINGING FIGMA INTO YOUR WORKFLOW

Figma's Dev Mode MCP server allows developers to bring context from Figma into agent coding tools. The server provides a more efficient and accurate design-to-code workflow for creating new atomic components, building out multi-layer application flows, and more. It is still in beta. Figma plans to release a slew of updates over the coming months, including features like remote server capabilities and deeper code base integrations.

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