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What is happening in AI right now

A timeline of everything that has passed through the radar — newest first, with an evidence status for each item.

6 new news items today 1139 across the entire feed ↗ details, original sources and our own analyses

Continuously updated

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Monday, July 27

23 items
Tools and apps only one source so far

Knowledge compression instead of RAG for enterprise AI

TAKC improves analytical tasks involving tens or hundreds of documents by compressing the knowledge base in advance for specific tasks, rather than searching for similar fragments as traditional RAG does. An open-source implementation is available for AWS.

AWS Machine Learning Blog Original source ↗
Tools and apps only one source so far

Deepgram integrates AWS IAM Temporary Delegation for SageMaker AI

Deepgram connected AWS IAM Temporary Delegation with Amazon SageMaker AI, enabling temporary access to self-hosted models without long-term access. This shortened problem diagnosis from days to minutes. The solution is intended for customers requiring data residency and compliance.

AWS Machine Learning Blog Original source ↗
Business and investment only one source so far

TechCrunch Disrupt 2026: Energy and infrastructure for AI

TechCrunch Disrupt (October 2026, San Francisco) will focus on the energy constraints of AI. It will discuss commercial fusion, power grid modernization, and providing power for growing data center requirements. Speakers will include representatives from Commonwealth Fusion Systems, Helion, Inertia, Bloom Energy, and…

TechCrunch AI Original source ↗
Video generation only one source so far

Why AI-generated films cannot be historically accurate

An analytical critique of Musk's promise that Grok Imagine will create a historically accurate Odyssey. Generative AI models reproduce the average of existing films, not historical reality. The model uses the most likely visual elements (from Gladiator, Troy, 300), so the result will be an average of film clichés…

The Conversation — Artificial Intelligence Original source ↗
Tools and apps only one source so far

Fantasy Premier League Companion: An AI assistant for fantasy football

The Premier League introduced Fantasy Premier League Companion, a new tool powered by Azure OpenAI. It aims to help managers make better decisions when building and managing a team. It is not an autopilot; it provides advice and data. Launch for the season on 21 August.

Microsoft AI blog (Microsoft Source — AI topic) Original source ↗
Security only one source so far

Al-Qaeda and Islamic State approach AI differently — long-term strategy versus immediate effect

An American analytical report and a subsequent study by an expert on terrorist groups map how al-Qaeda and Islamic State use AI. Both groups deploy the technology for propaganda, recruitment and security, but differently: al-Qaeda plans decades ahead, while Islamic State focuses on immediate effects.…

The Conversation — Artificial Intelligence Original source ↗
AI agents only one source so far

The path to artificial superintelligence: coordinating AI agents through semantic layers

Vejoy Pandey from Outshift (Cisco) describes the need to scale AI agents horizontally through semantic and connectivity layers. The AGNTCY project under the Linux Foundation aims to let agents discover one another, verify identities, and coordinate goals without human intervention. Current multi-agent systems fail at…

MIT Technology Review — AI section Original source ↗
Business and investment only one source so far

Integrating AI into drug discovery: data, testing, and prediction limits

The article describes how AI is transforming drug discovery by replacing empirical testing with predictive design. AI accelerates identification of molecules that bind to target proteins and reduces costs. A quoted expert from Cytiva cautions that AI cannot reliably predict kinetics and developability…

MIT Technology Review — AI section Original source ↗
Open-source only one source so far

Molt: An open-source framework for training agentic reinforcement learning

Molt is a PyTorch-native framework for agentic RL research, designed for readability and maintainability. It supports training multimodal and mixture-of-experts policies without training on tokens the agent did not generate. It is open source and, according to its authors, achieves performance comparable to SOTA…

arXiv cs.LG (Machine Learning) Original source ↗

Sunday, July 26

1 item
Regulation and law only one source so far

Chinese model Kimi and US concerns over AI competitiveness

The debate around Kimi from Moonshot AI concerns US worries about competitiveness. OpenAI and Anthropic are reportedly lobbying regulators over concerns about open Chinese models. Participants in the discussion highlight overreactions and the possibility that regulation could benefit only large companies.

TechCrunch AI Original source ↗