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Tencent new AI model mimics human thinking

PLUS: Meta begins testing its first in-house AI training chip

Together with

Howdy. It’s Barsee again.

Happy Tuesday, AI family, and welcome back to AI Valley.

In today’s edition:

  • Tencent new AI model mimics human thinking

  • Viral AI Agent ‘Manus’ leverages Claude Sonnet

  • Meta begins testing its first in-house AI training chip

  • Plus trending AI tools, posts, and resources

Ready, set, go…

TENCENT

Tencent new AI model mimics human thinking

Image Source: Tencent

Tencent has introduced Hunyuan-TurboS, an advanced AI model inspired by human cognitive processes—fast thinking and slow thinking—to optimize response efficiency and reasoning depth.

Here's what you need to know:

  • Fast Thinking: Similar to human intuition, fast thinking enables instant responses to simple or common queries without deep analysis. Turbo S enhances this by doubling word speed and cutting first-word latency by 44%, making it highly efficient for quick conversations and general interactions.

  • Slow Thinking: For complex problem-solving in areas like math, logic, and science, slow thinking is essential. Turbo S integrates knowledge from Hunyuan T1, Tencent’s advanced slow-thinking model, trained using long-thinking chain synthesis. This allows Turbo S to break down multi-step problems while maintaining its speed edge.

  • Result: By combining both approaches, TurboS matches or exceeds models like GPT-4o and Claude 3.5 in reasoning-heavy tasks (all while maintaining superior speed.)

  • It responds to queries in under one second, reducing first-word latency by 44%, making it faster than models like DeepSeek’s R1 and suitable for general conversations or real-time interactions.

  • While Tencent has yet to announce open-source plans or a full commercial rollout, an API is available through Tencent Cloud, with a free trial offered to initial users.

Why it matters: 

Hunyuan-TurboS raises the bar in AI with its blend of speed, accuracy, and cost-efficiency. Its fast and versatile capabilities open new possibilities in areas like real-time interactions, creative work, coding, and education.

TOGETHER WITH RYSE

Kevin O’Leary lost out on $400 million—but this smart home tech could be next

Image Source: Ryse

Imagine passing on Ring before it got bought for $1.2 billion by Amazon.

That’s exactly what happened to the Sharks—a 67,765% return gone.

Now, there’s another smart home startup making waves, and investors have a chance to get in before the next potential buyout.

🏠 Meet RYSE—the company revolutionizing smart shades with patented retrofit technology that installs in minutes, controllable via your smartphone or voice.

Here’s everything you need to know:

  • $10M+ in revenue and 200% year-over-year growth

  • In 127 Best Buy locations, with Home Depot expansion coming in 2025

  • 10+ patents protecting its industry-leading technology

  • The smart home market is booming, growing at 23% annually

RYSE’s public offering is now live at just $1.90/share. If you missed out on Ring, this could be your second chance.

*Read the disclaimer at the bottom

SIDE UPDATES

Chinese AI agent Manus, developed by Monica, uses Claude 3.5 Sonnet and open-source tools like Browser Use. X user "Jian" uncovered this by retrieving its sandbox runtime code. The company’s chief researcher confirmed that Manus operates as a multi-agent system, with an executor agent handling user requests. The team is now testing Sonnet 3.7 and plans to release open-source versions soon.

Meta, the parent company of Facebook, has begun testing its first in-house chip designed for training artificial intelligence systems. This move signifies Meta's efforts to design more of its own hardware to enhance AI capabilities and reduce reliance on external suppliers.

Sony is developing an AI-powered version of a PlayStation character, with a prototype of Aloy from Horizon Forbidden West showcased in a leaked internal video. The AI uses GPT-4, Llama 3, and Sony’s own voice synthesis tech. While the demo ran on PC, Sony tested it on PS5 with minimal overhead. This raises questions about AI’s impact on game development.

OpenAI has signed a five-year, $11.9 billion deal with CoreWeave to expand its AI computing infrastructure. As part of the agreement, OpenAI is also investing $350 million for an ownership stake in CoreWeave. This move helps OpenAI reduce its dependence on Microsoft, which has been its primary cloud provider. With Microsoft now developing its own AI models, the partnership dynamic could shift toward competition.

Outsourcing cognition to AI changes how our brains function. While tools help us process information faster, over-reliance can weaken critical thinking. Studies suggest AI dependence atrophies cognitive skills, much like GPS dulls navigation abilities. The challenge isn’t avoiding AI but deciding which mental faculties to preserve. As technology evolves, so does the mind.

Foxconn has introduced FoxBrain, an AI model designed to optimize manufacturing and supply chain processes using advanced reasoning. Built on Meta's Llama 3.1, the model was trained in just four weeks using 120 Nvidia H100 GPUs. FoxBrain can handle data analysis, decision-making, document collaboration, math, reasoning, and code generation. Initially developed for internal use, Foxconn plans to open-source it to drive industry-wide collaboration and adoption.

TRENDING TOOLS

  • Flowest > Get website issues alerts from AI Agent that continuously browse & monitor your website like a real user.

  • Duck.ai > A privacy-focused AI model by DuckDuckGo that offers anonymous access to leading chat models. (link)

  • Luminance > Helps you generate, negotiate, and analyze legal contracts directly in Microsoft Word.

THINK PIECES / RESOURCES

CONTENT CORNER

1/ AI won’t plateau if we give it time to think.

2/ AI models are stacking up with so many new releases.

THAT’S ALL FOR TODAY

That’s all for today’s issue, folks.

💡 Help me get better and suggest new ideas at [email protected] or @heyBarsee

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