Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent’s weaknesses without modifying the agent, environment, or evaluation system. According […]
Tag: ML & Data Engineering
What 25 Trillion Tokens Reveal About How Developers Actually Adopt AI Agents
Transcript Brendan O’Leary: My name is Brendan O’Leary. I’m a founding developer relations engineer at Kilo Code. How many people have heard of Kilo Code? […]
Google Antigravity SDK Adds Local Model Support for Greater Token Efficiency and Code Privacy
Google has introduced support for local models in the Antigravity SDK, enabling developers to build and execute agentic workflows directly on their own machines, while […]
Meta Extends Confidential Computer to AI Glasses with Private Processing
Meta has prolonged Exclusive Processing to AI glasses , making use of confidential online devices (CVMs) for delicate AI workloads and relentless customer context in […]
You Can’t Trust Your AI Bill. And Neither Can I
Transcript Erik Peterson: I’m going to talk a little bit about the bill. There was a lot of conversation about all the great things that […]
Spotify Greater Than Increased Month-to-month Code Changes as AI Accelerated Growth
Spotify has increased its use of AI-assisted advancement , greater than doubling month-to-month merged adjustments from roughly 8, 100 to 17, 000 year over year […]
Cloudflare Traces Turns the Proxy Layer right into OpenTelemetry Spans, with New Volume-Based Rates
Cloudflare has just recently made Traces offered in open beta , expanding automated mapping from Workers to the remainder of the request path. Security rules, […]
Android Bench 2 Adds Support for Long-Horizon Tasks, Agentic Evaluation, and Continuous Scoring
Google has released Android Bench 2.0, a major update to its benchmark framework for evaluating AI models and agents on Android development tasks. The update […]