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@faun shared a link, 1 month, 2 weeks ago

Cursor looks into selling your data for AI training

Anysphere—the team behind Cursor, the AI coding sidekick—is looking to license user behavior data to the big model labs: OpenAI, Anthropic, and the usual suspects. Why? Training costs are brutal, and this could ease the burn. Strategic Implication:Selling real developer telemetry to model competito..

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@faun shared a link, 1 month, 2 weeks ago

Writing effective tools for AI agents—using AI agents

Anthropic’s sharpening the blueprint for building tools that play nice withLLM agents. TheirModel Context Protocol (MCP)leans hard into three pillars: test in loops, design for humans, format like context matters—because it does. They co-develop tools with agents like Claude Code. That means protot..

Writing effective tools for AI agents—using AI agents
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@faun shared a link, 1 month, 2 weeks ago

Zero-Click Remote Code Execution: Exploiting MCP & Agentic IDEs

A zero-click exploit is making the rounds—nasty stuff targeting agentic IDEs likeCursor. The trick? Slip a malicious Google Doc into the system. If MCP integration and allow-listedPython executionare on, the document gets auto-pulled, parsed, and runs code. No clicks. No prompts. Justremote code exe..

Zero-Click Remote Code Execution: Exploiting MCP & Agentic IDEs
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@faun shared a link, 1 month, 2 weeks ago

AI Models Need a Virtual Machine

Microsoft and academic researchers want to give AI models a new kind of home: theAI Model Virtual Machine (MVM). Think of it like theJVM, but for LLMs—an interface layer that standardizes how models plug into host software. The MVM enforcessecurity,isolation, andtool-calling rules, while also unloc..

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@faun shared a link, 1 month, 2 weeks ago

In a first, Google has released data on how much energy an AI prompt uses

Google dropped detailed stats on energy, water, and carbon use per query for its Gemini models. Median energy:0.24 Wh, with TPUs eating58%of that. They’re claiming a33× efficiency boostin the last year—credit goes to model and software tuning. System shift:A public hyperscaler posting this means th..

In a first, Google has released data on how much energy an AI prompt uses
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@faun shared a link, 1 month, 2 weeks ago

Building Etsy Buyer Profiles with LLMs

Every day, nearly 90M buyers look for unique items out of over 100 million listings on the Etsy. The platform uses large language models to create detailed buyer profiles anonymously capturing their interests. Adjustments in data retrieval and processing have reduced the time and cost of generating ..

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@faun shared a link, 1 month, 2 weeks ago

OpenAI reorganizes research team behind ChatGPT's personality

OpenAI just folded itsModel Behavior team—the crew behind AI personality design and anti-sycophant training—into thePost Training group. Behavior tuning now lives inside the same house as model refinement. Joanne Jang, who led Model Behavior, now runsOAI Labs, a fresh research unit digging intopost..

OpenAI reorganizes research team behind ChatGPT's personality
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@faun shared a link, 1 month, 2 weeks ago

Paused Kubernetes project finds path forward

TheExternal Secrets Operator (ESO)is moving again. After hitting pause from maintainer burnout, it’s back under CNCF incubation—with a rebooted structure in place. New governance, clear contributor paths, and support tracks for CI, core dev, and testing are all in. But don’t expect fresh releases ju..

Paused Kubernetes project finds path forward
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@faun shared a link, 1 month, 2 weeks ago

Pooling Connections with RDS Proxy at Klaviyo

Klaviyo replaced ProxySQL on EC2 and moved toAWS RDS Proxy. Why? Less overhead. Simpler failovers. Smarter pooling. RDS Proxy handlesmultiplexing, packing thousands of client queries into way fewer DB connections. IAM access and built-in failover routing sweeten the deal...

Pooling Connections with RDS Proxy at Klaviyo
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Why "What Happened First?" Is One of the Hardest Questions in Large-Scale Systems

Logical clocks trackevent orderin distributed systems—no need for synced wall clocks. Each node keeps a counter. On every event: tick it. On every message: tack on your counter. When you receive one? Merge and bump. This flips the script. Instead of chasing global time, distributed systems lean int..

Why "What Happened First?" Is One of the Hardest Questions in Large-Scale Systems
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