Chess.Mojo, Sunfish.py based

this could be fast! but it is not... 2 years no updates

 GitHub - vietanhdev/chess.mojo: Chess.Mojo 🔥 - The first UCI chess engine in Mojo

• The current engine is not optimized for speed. It is just a proof of concept.
• The source code was based on sunfish.

Amazon AI: $100B, 1M robots

 Amazon’s $100 Billion Bet, Meta’s Sensor-Packed Glasses, Anthropic’s Reason-Free Reasoning, Google’s Extreme Weather Prediction

Amazon revealed new details of its plan to build a constellation of massive data centers and connect them into an “ultracluster.” Customer Number One: Anthropic.

Dubbed Project Rainier, the plan calls for Amazon to build seven next-generation data centers — with up to 30 on the drawing board — near New Carlisle, Indiana, The New York Times reported. Still other data centers will be located in Mississippi, and possibly in North Carolina and Pennsylvania, contributing to an expected $100 billion in capital expenditures this year alone

Amazon deploys its 1 millionth robot, releases generative AI model | TechCrunch

Apparently Amazon is using its own "chips" and related software for more efficient AI training in those gigantic data centers. "Unfair advantage", exactly that market and customer like.

Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant | The TWIML AI Podcast

AI AGNTCY: IoA (Internet of Agents) with ACP (Agent Connect Protocol)

predictably, after IoT ("Internet of Things") now there is IoA (Internet of AI Agents)

for "enterprise/cloud grade" AI on internet

AGNTCY.org

The AGNTCY is where we are building the Internet of Agents to be: A diverse, collaborative space to innovate, develop, and maintain software components and services for agentic workflows and multi-agent software.

AGNTCY · GitHub

The AGNTCY (pronounced “agency”), aka Internet of Agents Collective, or the Collective, is the collective of contributors and maintainers building the Internet of Agents (IoA): an open, interoperable, internet for agent-to-agent collaboration.

While very elaborate, and potentially useful, it is also "enterprise-complex": unlikely for mass-adoption.

Reminds me of HP e-speak from 25 years ago: good technology, no adoption.
HP talks up E-speak technology - CNET
Lessons from E-speak (HP Labs) PDF
Rajiv Gupta (technocrat) - Wikipedia

Building the Internet of Agents with Vijoy Pandey | The TWIML AI Podcast

VP and general manager at Outshift by Cisco 

foundational challenge for the enterprise: how do we make specialized agents from different vendors collaborate effectively? 

As companies like Salesforce, Workday, and Microsoft all develop their own agentic systems, integrating them creates a complex, probabilistic, and noisy environment, a stark contrast to the deterministic APIs of the past. 

Cisco's vision for an "Internet of Agents," a platform to manage this new reality, and its open-source implementation, AGNTCY. 

four phases of agent collaboration—discovery, composition, deployment, and evaluation

dive deep into the communication stack, from syntactic protocols like A2A, ACP, and MCP 

to the deeper semantic challenges of creating a shared understanding between agents. 

SLIM (Secure Low-Latency Interactive Messaging), a novel transport layer designed to make agent-to-agent communication quantum-safe, real-time, and efficient for multi-modal workloads.

Outshift | Integrate and evaluate: New MCP support and observability framework from AGNTCY

AGNTCY’s Agent Connect Protocol (ACP) and MCP are complementary protocols: 

ACP enables autonomous agents to collaborate and share resources in a distributed system while 

MCP enriches individual AI models with external context to enhance their decision-making and response generation

Outshift | From concept to code: AGNTCY’S Internet of Agents is now on GitHub