OpenAI's largest model GPT 4.5 brings emotional intelligence to AI

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Welcome Humans🤖,

Here is what we have Today:

• 🤖 Smarter, But Not Cheaper: The Truth About GPT-4.5

• 🧠 Tencent’s AI Thinks Twice as Fast—But at What Cost?

• 💻 Phi-4 models pack multimodal power into small packages.

• 🎨 Ideogram 2a slashes generation time and cost.

• 💼 New Job Opportunities

OpenAI

🧠 OpenAI’s GPT-4.5: The AI That Feels You

OpenAI just dropped its biggest model yet—GPT-4.5 (code-named Orion). But this time, it’s not about logic. It’s about understanding you. Instead of strict reasoning, it uses unsupervised learning to develop deeper world knowledge and emotional intelligence.

The Breakdown:

✅ More Human Conversations – It gets intent, emotions, and nuance better than before.
✅ Fewer Hallucinations – Answers are sharper, with better accuracy in pro, creative, and everyday tasks.
✅ Not a Math Genius – No big gains in science or numbers, but it outperforms o3-mini and o1 in OpenAI’s new SWE-Lancer coding benchmark.
✅ Limited Access – Pro users and devs get it now. Plus and Team users? Next week.
✅ Sky-High Pricing – At $75/$150 per million tokens, it’s leagues above GPT-4o’s $2.50/$10.

The Big Question: Is It Worth It?

GPT-4.5 feels less like a revolution and more like a vibe update. It nails conversations, but the hefty price and modest improvements could make this the last big leap for non-reasoning models.

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Tencent

⚡ Tencent’s AI Turbocharges Thinking Speed

China’s AI race just got a new speed demon. Tencent’s Hunyuan Turbo S is built for instant responses—trading deep reasoning for pure speed. And it’s fast. Twice as fast as before, while matching top AI models in performance.

🔍 The Details:

• Turbo S vs. the Giants: Holds its own against DeepSeek V3, GPT-4o, and Claude Sonnet 3.5 in knowledge, math, and reasoning.

• Budget-Friendly AI: Tencent slashed prices, making Turbo S a fraction of its predecessor’s cost.

• A Two-Model Strategy: Tencent is also gearing up to launch T1, a "deep-thinking" AI, setting the stage for a fast vs. slow AI battle.

• China’s AI Arms Race: The release fuels growing competition, as DeepSeek teases a new launch and Alibaba rolls out QwQ-Max for reasoning.

🚀 Why It Matters:
The AI game is shifting fast—literally. Once, deep reasoning was the gold standard. Now, AI models are splitting into ‘fast-thinking’ vs. ‘slow-thinking’ categories. And despite U.S. chip bans, China’s AI race isn’t slowing down. Tencent just made its move. Who’s next?

Trending Today

• The University of Tokyo has carried out a research that experiences real human skin for robots. The skin tissues are able to bind to varied surfaces of a machine making the robots have facial reactions. The possibility of 3D facial mold and 2D skin for a robot covered with living skin can be created.

• Microsoft has announced the release of Phi-4-multimodal and Phi-4-mini, the latest additions to their Phi family of small language models (SLMs). These models are designed to empower developers with advanced AI capabilities across various modalities, including speech, vision, and text.

• Ideogram launched its 2a model, a major update to the text-to-image platform that significantly reduces generation time and cost while maintaining high-quality outputs—with optimizations for graphic design and photorealistic generations.

• Figure is pushing up its timeline to bring its humanoid robots into the home, beginning Alpha testing this year thanks to improvements from its recently revealed Helix AI.

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