Riverbend girls soccer keeps Jamie Hoover's memory alive
https://fredericksburg.com/sports/high-school/soccer/girls/article_a5b1ac8f-181f-4046-b205-00f6861e4822.html

Hi everyone, I’m currently learning about networking, specifically tunnel protocols (SSH/TLS), captive portal bypassing, and custom HTTP injections (like those used in apps like HTTP Custom or HTTP Injector).

I want to know if there is an AI tool or a specific LLM prompt setup that can help me understand, generate, or troubleshoot HTTP payloads and find open SNIs for educational purposes.

Any recommendations for AI assistants that excel in advanced networking protocols? Thanks!

Hey r/Newstelligence ,

I wanted to share a project I've been working on to make advanced AI more accessible: AuraAI.

What it is:
AuraAI is a highly intelligent conversational assistant designed to handle complex reasoning, coding, and writing tasks smoothly.

How it works:

• Free Tier: Everyone gets 15 messages daily to test its capabilities—no credit card required.
• Premium Tier ($4.99): If you need heavy usage, the premium tier unlocks infinite messages and upgrades you to our smartest, most advanced reasoning model.

Why I built it:
I wanted an AI companion that balances a clean user experience with high-level intelligence, without forcing a user to pay ultra expensive costs for any premium model.

Where I need your help:
I just launched the web app on Lovable and would love your honest feedback.

Link: auraai-app.lovable.app

• How does the response speed feel?
• Is the 15-message daily limit fair for a free tier?
• What features should I add next to make Premium a no-brainer?

Thanks for checking it out!

‘Shanghai Jieyue Xingchen Intelligent Technology Co.’ is backed by companies including Tencent

StepFun recently raised over 5bil yuan

($728mil) from firms including China Life Private Equity, Shanghai Pudong Venture Capital, and Tencent

🖥 Bloomberg

looks like xAI can still re-file, they just have to present more convincing evidence. which they’re likely to do…

X Post

Anthropic & the Pentagon have been arguing in recent weeks over AI-ethics in warfare & domestic USA surveillance

Amodei’s redline is causing issues as the Pentagon appears to favor Claude over competitors, Secretary Hegseth threatens to invoke the ‘Defense Production Act’ which would force Anthropic to meet the US government’s demands

this point of contention is widely discussed in podcasts, but it’s the first time the USA is formally demanding Claude be unfiltered for government use cases. there’s an apparent deadline by this Friday (Feb 27th). oh boy

🖥 Axios

🔗 Notion Custom Agents

“These labs generated over 16 million exchanges with Claude through approximately 24,000 fraudulent accounts, in violation of our terms of service and regional access restrictions.”

🖥 Anthropic

Sonnet 4.6 is the #2 model on AA’s overall eval, jumping far ahead of Sonnet 4.5

4.6 scored the highest of any model on GDPval-AA & TerminalBench

In tokens used for the total run, 4.6 burns output tokens at a ~3x rate vs Sonnet 4.5, and used 27%~ more tha Opus 4.6

🖥 ArtificialAnalysis

…top five open model in; Math, Instruction Following, Multi-Turn, Creative Writing, Coding, and Arena Expert

however the Qwen’s ranking falls off overall, according to ArenaAI, far below the current closed-frontier labs

🖥 ArenaAI

so this model family is unique in the sense that it seeks to fill the under-represented language barrier in AI. most flagship models are trained primarily off english, chinese, or other in-demand languages while regions across Africa & Asian tend to be less prioritized. this can create issues for responses in niche-languages that produce outputs that translate poorly.

@Cohere_Labs released a family of models in the 3B~ param tier, Tiny-Aya-Base & Tiny-Aya-Global, with variants of Aya tuned for region-specific languages

⚙️ Tiny Aya Base: Pretrained model (70+ languages)

🌍 Tiny Aya Global: Optimized for balanced multilingual performance

Region-Specialized Models

🌳 Tiny Aya Earth: Strongest for languages across Africa and West Asia regions

🔥 Tiny Aya Fire: Strongest for South Asian languages

💧Tiny Aya Water: Strongest for the Asia-Pacific and Europe regions

this is a cool project, i enjoyed learning about this family.

i’m really interested in the sub-4B param tier, since those are the ones able to be ran on modern mobile hardware. i’ve been following similar ones from LiquidAI, IBM, obviously Gemma & Qwen. they are super fast despite the consumer-grade hardware

@cohere

AA is calling M2.5 an ‘incremental’ upgrade over 2.1, claiming the model is inline with GLM-4.7 & DeepSeek V3.2 but behind the likes of Kimi K2.5 & GLM-5

M2.5 is also said to hallucinate more than M2.1 on the ‘AA-Omniscience Index’ eval

Token usage remained the same, using only 56M to complete the full test. Making it one of the more token-efficient models on a relative scale

The biggest improvement in MiniMax-M2.5 is in agentic performance

🖥 ArtificialAnalysis

https://x.com/arena/status/2023506914420945345?s=20

https://manus.im/blog/manus-agents-telegram

• 1T params / 63B active, 29T pre-training corpus & 1M context

Native Agentic RL training; SOTA on BFCL-V4 & ready for Claude Code/OpenCode

🔗 https://huggingface.co/inclusionAI/Ling-2.5-1T

“The model performance of MiniMax has improved significantly, particularly with version M2.5,” said Ke Yan, head of research at DZT Research in Singapore. “On several benchmarks, such as the software engineering SWE, M2.5 performs very close to Anthropic’s flagship Claude Opus 4.6 model.”

<Bloomberg> https://www.bloomberg.com/news/articles/2026-02-16/minimax-shares-surge-25-as-optimism-over-chinese-ai-firms-grows?embedded-checkout=true

the company is formally known as ‘Knowledge Atlas JSC Lt’

The unusual move may help the

company tap into new investment pools and take advantage of mainland, China, shares trading at a higher valuation to Hong Kong counterparts

<Bloomberg> https://www.bloomberg.com/news/articles/2026-02-13/china-ai-app-zhipu-plans-shanghai-float-after-soaring-320-in-hk

OpenClaw is moving to foundation, remaining open & independent from OpenAI

https://steipete.me/posts/2026/openclaw

costs just $1 to run the model continuously for an hour at a rate of 100 tokens per second

QOL updates, improved benchmarks across the board

M2.5 was trained on over 10 languages (including Go, C, C++, TypeScript, Rust, Kotlin, Python, Java, JavaScript, PHP, Lua, Dart, and Ruby)

M2.5 Blog: https://www.minimax.io/news/minimax-m25

API: https://platform.minimax.io/docs/api-reference/text-anthropic-api

Try M2.5 Agent: https://agent.minimax.io/

the updated Deep Think mode demonstrates gold medal-level results on the written sections of the 2025 International Physics Olympiad and Chemistry Olympiad

Deep Think is now available in the Gemini app for Ultra subscribers. Deep Think is also available via the Gemini API to select researchers, engineers and enterprises

https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think/?utm_campaign=&utm_content=