Join us

ContentUpdates and recent posts about Gemini 3..
News FAUN.dev() Team
varbear
@varbear shared an update, 4 weeks ago
FAUN.dev()

New MCP Release v0.10.0 Supercharges AI-Assisted Web Development

#AI codi...  #Model C...  #perform...  #Debuggi...  #Chrome ... 
chrome-devtools-mcp

Chrome DevTools MCP v0.10.0 unlocks deeper AI-powered debugging with new tools for DOM access, network request detection, page reload automation, performance insights, and snapshot saving.

Google Launches Chrome DevTools MCP Server Preview for AI-Driven Web Debugging
488 views  
Share: Twitter

|

Linkedin

|

Facebook

|

Pocket

|

Reddit

|

Hacker News

|

Email
 Activity
varbear
@varbear added a new tool chrome-devtools-mcp , 4 weeks ago.
News FAUN.dev() Team Trending
varbear
@varbear shared an update, 4 weeks ago
FAUN.dev()

AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly

#aws  #Python ...  #Lambda@...  #AWS Lam... 
AWS Lambda

Python 3.14 is now available in AWS Lambda, enabling developers to leverage new Python features for serverless applications.

AWS Lambda Gets Python 3.14: Faster, Smarter, and More Serverless-Friendly
652 views  
Share: Twitter

|

Linkedin

|

Facebook

|

Pocket

|

Reddit

|

Hacker News

|

Email
News FAUN.dev() Team
kaptain
@kaptain shared an update, 4 weeks ago
FAUN.dev()

The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025

#kubecon  #PETAFLO...  #LattePa...  #nvidia  #kuberne... 
Kubernetes Talos Linux

Engineer Justin Garrison showcased a backpack-sized PETAFLOP Kubernetes cluster at KubeCon 2025, demonstrating localized AI capabilities without cloud reliance.

The Most Absurd (and Brilliant) Kubernetes Cluster at KubeCon 2025
448 views  
Share: Twitter

|

Linkedin

|

Facebook

|

Pocket

|

Reddit

|

Hacker News

|

Email
 Activity
kaptain
@kaptain added a new tool Talos Linux , 4 weeks ago.
News FAUN.dev() Team Trending
kaptain
@kaptain shared an update, 4 weeks ago
FAUN.dev()

Google Breaks Kubernetes Limits Again: Inside the 130,000-Node GKE Cluster

#GKE  #Google ...  #Google  #AI  #kuberne... 
Google Kubernetes Engine (GKE) kueue

Google successfully operates a 130,000-node Kubernetes cluster to enhance GKE's scalability for AI workloads.

Control plane throughput: Sustaining up to 1,000 operations per second for both Pod creation and Pod binding during intense scheduling phases.
952 views  
Share: Twitter

|

Linkedin

|

Facebook

|

Pocket

|

Reddit

|

Hacker News

|

Email
 Activity
kaptain
@kaptain added a new tool kueue , 4 weeks ago.
News FAUN.dev() Team
devopslinks
@devopslinks shared an update, 4 weeks ago
FAUN.dev()

Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet

#Feature...  #DDoS  #Postmor...  #cloudfl...  #outage 
Cloudflare Cloudflare Workers

A database permissions change led to a Cloudflare outage by creating an oversized feature file, causing network failures initially mistaken for a DDoS attack.

Inside Cloudflare's Worst Outage Since 2019: How a Single Config File Broke the Internet
501 views  
Share: Twitter

|

Linkedin

|

Facebook

|

Pocket

|

Reddit

|

Hacker News

|

Email
News FAUN.dev() Team
devopslinks
@devopslinks shared an update, 4 weeks ago
FAUN.dev()

Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains

#scalabi...  #Valkey  #Valkey ...  #Redis  #open so... 
Valkey

Valkey 9.0 debuts with atomic slot migrations, hash field expiration, and improved cluster mode support, enhancing data management and scalability.

Valkey 9.0 Released: Faster Clusters, New TTL Controls, and Big Networking Gains
482 views  
Share: Twitter

|

Linkedin

|

Facebook

|

Pocket

|

Reddit

|

Hacker News

|

Email
 Activity
devopslinks
@devopslinks added a new tool Valkey , 4 weeks ago.
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.