Cursor Launches Web and Mobile Apps (2 minute read) Cursor can now run coding tasks in the background while users are away and works across any browser or mobile device. Teams can review agent-generated diffs and create pull requests directly from the web interface, with Slack integration for notifications and triggering agents. | | How Oracle Is Winning the AI Compute Market (15 minute read) Oracle has quietly become a key player in the AI compute race, largely due to the success of its partnership with ByteDance. The two companies poured billions into data centers in Singapore and Malaysia, which is now the world's second-largest AI hub. The company was the single largest lessor of datacenter capacity in the US from late 2023 to early 2025, securing over $130 billion in contracts expected over the next 12 months, including Stargate deals. | Machines of Faithful Obedience (16 minute read) AI, including AGI and ASI, can significantly benefit humanity if the technical alignment problem is solved, enabling AIs to follow human instructions accurately and faithfully. However, rapid AI progress poses risks, such as reaching alignment "uncanny valleys," potential arms races, surveillance states, societal upheaval, and misuse in offensive applications. Ensuring dominance in inference-time compute with responsible deployment and maintaining human oversight are critical to mitigating these risks and harnessing AI's potential for positive global impact. | | The New Skill in AI is Not Prompting, It's Context Engineering (4 minute read) Building powerful and reliable AI agents is about the engineering of context and providing the right information and tools in the right format at the right time. The quality of information loaded into an agent's limited working memory determines whether it succeeds or fails. Most agent failures are context failures. Building effective AI agents is less about complexity and everything to do with the quality of context provided. | There Are No New Ideas in AI… Only New Datasets (7 minute read) The next paradigm shift isn't going to come from an improvement to RL or a fancy new type of neural net. It will come when a new source of data that hasn't been accessed before is unlocked. One obvious source of information that a lot of people are working towards harnessing is video. Another source of information may be unlocked when scientists figure out how to gather and process information from cameras and sensors in a way that's amenable to training large models on GPUs. | | Airtable's Launches Omni, an agentic app building assistant (6 minute read) Airtable reintroduced itself as an AI-native company, unveiling Omni, an AI assistant that can build new and edit existing apps, update datasets, or analyze data with plain language. The company also launched a suite of agents – web and legal research, document analysis, and market eval – that can be embedded within business apps to streamline workflows and operations. | Microsoft's Custom AI Chip Hits Delays (4 minute read) The Braga chip won't hit mass production until 2026 after OpenAI requested last-minute design changes. When it ships, it will likely lag behind Nvidia's Blackwell, cementing Azure's sole reliance on Nvidia hardware for another 1 to 2 years. | | Love TLDR? Tell your friends and get rewards! | Share your referral link below with friends to get free TLDR swag! | | Track your referrals here. | | | |
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