Best Autonomous Systems AI Tools & Models - Premium Autonomous Systems News

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Rivian's In-House AI Chip Will Replace NVIDIA, Enabling Autonomous Driving for New Models

Rivian introduces its self-developed AI chip RAP1 and new onboard computer to replace NVIDIA systems, enhancing autonomous driving. The new R2 SUV will feature this chip and lidar, optimizing self-driving through hardware-software synergy.....

8.6k 1 days ago

NVIDIA Jetson AGX Thor Officially Launches, Reshaping the Robot Computing Platform Landscape

NVIDIA launches Jetson AGX Thor for robots & edge AI, starting at $3499, featuring advanced GPU/CPU for autonomous systems.....

9.6k 3 hours ago

Wayve Unveils GAIA-2, a Full-World Model Generating 5-View Videos and Simulating High-Risk Scenarios

Wayve recently launched GAIA-2, its latest video-generating world model. A significant upgrade from its predecessor, GAIA-1, this groundbreaking technology generates highly diverse and controllable driving scenario videos to greatly enhance the safety of assisted and autonomous driving systems. The release of GAIA-2 marks a significant step forward for Wayve in leveraging generative AI to enable safer and smarter transportation. GAIA-2 offers a substantial improvement in scene diversity compared to GAIA-1.

9.7k 1 days ago

Wayve Unveils GAIA-2, a Full-World Model Generating 5-View Videos and Simulating High-Risk Scenarios

Pentagon Official Reveals: Investment in 'Autonomous Killer Robots'

In a shocking statement, a senior defense official revealed to Defense One that the Pentagon's interest in autonomous killer robots is accelerating. The official, speaking on condition of anonymity, stated that the Pentagon plans to reduce funding for artificial intelligence research in favor of actual AI weapon systems. He noted, 'We will no longer invest in 'artificial intelligence' because I don't know what that means. We will invest in autonomous killer robots.' The official added that the current government is more focused on weapon systems.

10.8k 1 days ago

Pentagon Official Reveals: Investment in 'Autonomous Killer Robots'

Models

GPT-4.1 mini

Openai

$2.8

Input tokens/M

$11.2

Output tokens/M

Context Length

GPT-5 Codex

Openai

Input tokens/M

Output tokens/M

Context Length

Claude 3 Sonnet

Anthropic

$21

Input tokens/M

$105

Output tokens/M

200

Context Length

qwen-vl-max

Alibaba

$1.6

Input tokens/M

Output tokens/M

128

Context Length

GPT-5 mini

Openai

$1.75

Input tokens/M

$14

Output tokens/M

400

Context Length

GLM-4.5-X

Chatglm

Input tokens/M

$16

Output tokens/M

128

Context Length

Spark X1

Iflytek

Input tokens/M

Output tokens/M

Context Length

Qwen3-14B

Alibaba

Input tokens/M

Output tokens/M

Context Length

Hunyuan-Translation-Lite

Tencent

Input tokens/M

Output tokens/M

Context Length

Doubao-embedding

Bytedance

$0.5

Input tokens/M

Output tokens/M

Context Length

o4-mini

Openai

$7.7

Input tokens/M

$30.8

Output tokens/M

200

Context Length

DeepSeek-R1-Distill-Llama-8B

Deepseek

Input tokens/M

Output tokens/M

Context Length

Baichuan-M2-32B

Baichuan

Input tokens/M

Output tokens/M

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o1

Openai

$105

Input tokens/M

$420

Output tokens/M

200

Context Length

Baichuan2-53B

Baichuan

$15

Input tokens/M

$15

Output tokens/M

Context Length

SenseNova V6.5 Miaohua Advanced Edition

Sensetime

Input tokens/M

Output tokens/M

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SenseNova V6.5 Miaohua Basic Version

Sensetime

Input tokens/M

Output tokens/M

Context Length

Qwen_v2.5_0.5b_Instruct

Alibaba

Input tokens/M

Output tokens/M

128

Context Length

Spark Mini Instruct

Iflytek

Input tokens/M

Output tokens/M

Context Length

Spark Mini

Iflytek

Input tokens/M

Output tokens/M

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MCP

Whoiser

This project is an MCP server that provides WHOIS query services, allowing AI agents to directly query the registration information of domain names, IPs, top-level domains, and autonomous systems without manually operating a browser.

typescript

6.1k

2.5points

Systemctl

Overview: MCP is a standard protocol, similar to the Type C protocol of electronic devices (which can both charge and transmit data), enabling AI models to interact with different APIs and data sources. It aims to replace fragmented Agent code integration and improve the reliability and efficiency of AI systems. By establishing a common standard, service providers can offer their own AI capabilities according to the protocol, supporting developers to build more powerful AI applications more quickly. MCP maintains the context between different applications and services, enhancing the overall ability of autonomous task execution.

python

6.4k

2.0points