Vol. I · No. 52WED, JUN 10, 2026
Topic

Cursor

Every story matching this topic across titles and summaries, newest first.

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization

Reward hacking is usually studied after it becomes visible, once a model earns high proxy reward while failing the intended task. We instead study what proxy RL teaches before that failure appears. We introduce Proxy Reward Internalization and Mechanistic Exploitation (PRIME), a learned capability to assess task correctness, predict proxy acceptance, and reason about exploitable proxy--gold gaps. In coding RL environments with exploitable pytest rewards, we measure PRIME through chain-of-thought monitoring, direct probes, and activation-level concept vectors. We find that PRIME emerges in a s...

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Explainable Forecasting of Scientific Breakthroughs from Concept Network Dynamics

We introduce an explainable machine-learning approach that forecasts the structural precursors of scientific breakthroughs -- the emergence and intensification of links between research concepts -- by modelling how OpenAlex concept networks evolve over time. Using 59 semantic and topological features, a two-stage LightGBM model jointly predicts the formation and the future weight of concept pairs, adding a regression stage that quantifies expected intensity to prior link-existence forecasts. Relative to the state of the art, the approach improves accuracy and explainability at once: comparati...

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Lightweight CNN-Based Anomaly Detection for High Voltage Converter Modulators in the Spallation Neutron Source

Unscheduled trips of high-power pulsed converters are a leading source of downtime at large accelerator facilities. At the Spallation Neutron Source (SNS), the High Voltage Converter Modulators (HVCMs) are consistently the second-largest contributor to lost beam time. Each HVCM pulse is recorded across sensor channels spanning currents, voltages, and magnetic fluxes, whose mutual interactions encode the operating state of the system. Fault precursors do not manifest uniformly across these channels: depending on fault type, they may alter the temporal structure of individual signals, change th...

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I spent $340 on AI subscriptions last month. Wrote down what I actually used each one for. It was depressing.

Going through the credit card statement, here's what I had active: Claude Pro (40), ChatGPT Plus (20), Cursor (20), Perplexity Pro (20), Notion AI (10), Granola (20), ElevenLabs Starter (5), Midjourney Basic (10), Gamma Pro (10), Beautiful.ai (12), Otter Pro (17), Loom Business (15), Zapier Pro (30), Make Core (10), Tactiq Pro (8), Descript Creator (15), Reclaim.ai Pro (8), Motion (19), Superhuman (30), one i can't remember the name of (10), some ai-something for instagram captions (11) Then I sat down and wrote next to each one the last time I'd actually used it. Not opened it, used it for...

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SWE-rebench Leaderboard (March, April and May 2026): GPT-5.5, Opus 4.7, Cursor (Composer 2.5), Kimi K2.6 and More

Hi all, Sorry for going missing — we’ve been collecting a larger, higher-quality set of more complex tasks. We’re excited to share a major leaderboard update covering the past three months. We’ve updated the **SWE-rebench leaderboard** with **110 fresh Python tasks** from GitHub PRs created in **March, April, and part of May**. The setup follows the standard SWE-bench format: models read real PR issues, edit code, run tests, and must make the full test suite pass. This time, instead of our usual monthly updates with a smaller number of tasks, we collected a larger batch so we could evalua...

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Claude records demo videos for me now

I hate recording demo videos, so I made an open source skill for it: [https://github.com/MobAI-App/desktop-recorder-skill](https://github.com/MobAI-App/desktop-recorder-skill) Now I can give Claude a prompt like: Record a short demo of this app flow And it handles the annoying parts for me: preparing the app state, clicking through the flow, recording, adding cursor/click effects and captions, then exporting the video. So instead of spending time setting everything up and recording the same demo manually, I can let Claude do it while I work on something else. It also has Remotion integr...

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Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.

For a quarter century, the Google search box has been one of the most recognizable interfaces in computing: a thin white rectangle, a blinking cursor, a few typed words, and a list of blue links. On Tuesday, Google will formally retire that paradigm. At its annual I/O developer conference, Google announced a sweeping redesign of the search box itself — the literal text field where billions of queries begin every day — transforming it from a simple keyword input into a dynamic, AI-driven conversation starter that can accept text, images, PDFs, videos, and even open Chrome tabs as inputs. The c...

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Multi-repo orchestration

Anyone know of a solution for tying in multiple IDE sessions with a multi-repo project so that they work cooperatively with a single shared inbox/memory? Here is my use case (whether it’s with or without the use of Storybloq): \- all sessions are running Storybloq which saves root level /.story tickets and issues or if I have multiple projects I store each of them in /projects/<project\_name>/.story \- have three repos open in Cursor with 1-2 sessions each \- have a master Cursor session open that at the root level with /Sites/.story I use the master session for any multi-repo or...

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What Claude Design does really well (and not so well)

I did a deep dive on Claude Design and below are my thoughts. What it does extremely well: * **Improves your prompt** \- similar to "ask me questions" when chatting to an LLM. Can make the difference between slop and actually useful. * **Invokes agent skills for you** \- a game changer for people who don't live in the terminal * **Claude Code handoff** \- easily get Claude Code to build it for real with a simple link share. Genius. * **Comment feature** \- spatial editing (similar to Cursor and a few others), but selection is very accurate and I like how you can queue up edits and select wh...

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Apple’s new CEO, and why Elon Musk wants to buy Cursor for $60B

A new era is on the way for Apple as Tim Cook plans to step down from his CEO role in September, handing the reins to hardware chief John Ternus. Ternus may be inheriting one of the most durable businesses in tech, but he’s also stepping into a very different ecosystem than the one Cook spent decades shaping. The App […]

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SpaceX cuts a deal to maybe buy Cursor for $60 billion

With an IPO looming for Elon Musk's SpaceX / xAI / X combo platter of companies, SpaceX has announced an odd arrangement to either acquire the automated programming platform Cursor for $60 billion or pay a fee of $10 billion. Buying this startup that's focused on AI coding could help xAI's tools compete with market leader Anthropic, as well as the other competitors. A report by The Information this week said Sergey Brin has directed Google's "strike team" to help its agentic AI tools catch up, while Sam Altman reportedly declared a "code red" at OpenAI last year before shutting down Sora to f...

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I started building Claude Code plugins, then realized I didn’t want to duplicate the same plugin for every AI agent

I’ve been building plugins for Claude Code, and the first version of the idea was very Claude-focused. That made sense at the start. Claude Code has a real plugin model, hooks are useful, and it is one of the few agent tools where plugins can actually become part of a daily workflow. But after building a few integrations, I kept running into the same uncomfortable question: If I write the useful part of a plugin once, why should I rewrite or repackage the same thing again for Codex, Gemini, Cursor, OpenCode, and whatever comes next? The actual plugin logic is often not Claude-specific. Th...

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How to Build Vision AI Pipelines Using NVIDIA DeepStream Coding Agents

Developing real-time vision AI applications presents a significant challenge for developers, often demanding intricate data pipelines, countless lines of code,... Developing real-time vision AI applications presents a significant challenge for developers, often demanding intricate data pipelines, countless lines of code, and lengthy development cycles. NVIDIA DeepStream 9 removes these development barriers using coding agents, such as Claude Code or Cursor, to help you easily create deployable, optimized code that brings your vision AI applications to… Source

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How Cursor uses GPT-5

Cursor code editor integration and deployment of GPT-5 for developer tooling.

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29 stories