#GPT 5.4
90 related articles
GPT-5.4 Powers a Drug Chemistry Projec…
·3 分钟
GPT-5.4 Powers a Drug Chemistry Project: A Complete Closed Loop from Literature Review to Experimental Validation
GPT-5.4 teams with Maria AI and automated labs to complete a full drug chemistry closed loop—from literature review and hypothesis generation to experimental validation.
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产品体验·2 分钟
GPT 5.4 vs Opus 4.7 vs Kimi K2.6 Code: Real-World Programming Comparison
Real-world comparison of GPT 5.4, Claude Opus 4.7, and Kimi K2.6 Code across backend, frontend, cost-effectiveness, and tooling to help developers choose the best AI coding assistant.
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科技前沿·1 分钟
GPT-5.4 In-Depth Review: Native Computer Use, Unified Reasoning & Coding — OpenAI Reclaims the Throne
GPT-5.4 full review: Surpasses Claude Opus 4.6 on OSWorld, native computer use, 50% better token efficiency in reasoning+coding, 33% fewer hallucinations, and record-breaking search. OpenAI's first all-in-one model.
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产品体验·1 分钟
GPT 5.4 vs Claude 4.6: How to Choose Your AI Coding Tool? In-Depth Comparison & Best Setup
In-depth comparison of Codex (GPT 5.4) vs Claude Code (Opus 4.6) across coding ability, frontend development, ecosystem integration, and cost-effectiveness, with the best AI coding tool combo for a $200 budget.
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产品体验·1 分钟
GPT-5.4 In-Depth Review: A Quantum Leap in Coding Ability, But One Flaw Is a Dealbreaker
GPT-5.4 hands-on review: Codex coding excels, tool calling efficiency jumps, computer use surpasses humans. But info leakage seriously hurts usability. Pricing, multimodal OCR, Agent capabilities & real coding examples.
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·4 分钟
Automatic Tibetan-Chinese Bilingual Subtitle Generation: A Complete Technical Breakdown
A complete technical guide to automatic Tibetan-Chinese bilingual subtitle generation, covering Tibetan ASR (Whisper/wav2vec), machine translation (NLLB), timeline alignment, and subtitle export for low-resource language creators.
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·2 分钟
MiniMax M3 Local Deployment: 23B Active Parameters ≠ 23GB VRAM — A Complete Guide to MoE Architecture
MiniMax M3 is a 428B MoE model. Its 23B active parameters reflect per-token compute, not VRAM needs. Learn the MoE trade-offs, quantization options, and deployment paths to avoid the most common misconception.
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·3 分钟
GPT-5.6 Prompt Engineering in Practice: A Systematic Approach to Eliminating AI Verbosity
A deep dive into GPT-5.6's official eight-dimension prompt framework — tracing AI verbosity back to RLHF and training data, with practical constraint techniques to fix it.
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·2 分钟
Farewell Perplexity: Why a Free User Left and What It Reveals About AI Search Monetization
A Reddit user's Perplexity farewell exposes AI search's core tension: free trials hook users, then reasoning model quotas drive them away. Here's what it means for the industry.
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·2 分钟
GPT-5.6 Deep Dive: A Qualitative Leap in Coding and Frontend Capabilities
A 1-billion-token deep dive into GPT-5.6 Solar Max reveals qualitative leaps in coding stability, Skills compliance, and frontend design. Includes version selection guide.
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·3 分钟
AI Agent Home Server Selection Guide: Low-Cost OpenClaw Deployment in Practice
Discover why AI Agents burn through API budgets fast, and how to deploy OpenClaw on a home server using Ollama, DeepSeek, and Gemini in a cost-effective hybrid setup.
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·4 分钟
GPT-5.6 Deep Dive: AI Training AI Opens a New Paradigm in the Model Race
OpenAI's GPT-5.6 launches as three models: SO, TERA, and LUNA. The flagship SO autonomously completed LUNA's post-training, marking a new era of AI-trained AI. Deep dive into pricing, Programmatic Tool Calling, METR safety findings, and government oversight.
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·3 分钟
Tencent Hunyuan HY3 In-Depth Review: How a Small Open-Source Model Punches Above Its Weight
In-depth analysis of Tencent's open-source reasoning model Hunyuan HY3: MoE architecture, 295B total params, Apache 2.0 license, coding & front-end rivaling DeepSeek V4 Pro at 1/35 the cost.
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·3 分钟
In-Depth Testing of GPT-5.6's Three Models: A Full Analysis of Soul/Terra/Luna Capabilities and Experience
GPT-5.6 launched three models at once—Soul, Terra, and Luna. Flagship Soul dazzled with a Vision Pro drum kit and reviving an old tablet, but the new Work app's frequent errors and export failures dragged down the experience.
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·5 分钟
In-Depth Analysis of the GPT-5.6 EQ Test: Progress and Limitations in Emotional Intelligence
A Reddit user ran EQ tests on ChatGPT 5.5 and 5.6, covering meeting emotion ranking, chess-behavior judgment, and facial attractiveness. Version 5.6 shows clear gains in multimodal emotional understanding, but social common sense remains a core weakness.
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·4 分钟
AMD Ryzen AI Halo Hands-On: Can x86 Architecture Challenge NVIDIA's DGX Spark?
In-depth review of the AMD Ryzen AI Halo mini AI box: powered by the Ryzen AI Max Plus 395 (Strix Halo) chip with 128GB unified memory, priced at $4,000. Compared against NVIDIA's DGX Spark across token generation, prefill speed, and x86 advantages.
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·4 分钟
The Death of Codex: How OpenAI Buried Developers' Favorite Coding Brand With Its Own Hands
OpenAI merged Codex into ChatGPT, killing a developer-beloved AI coding brand. A deep dive into the gains and losses of this brand consolidation.
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·2 分钟
Deep Dive into Tencent Hunyuan Hy3: How a 295B MoE Model Cracks the Agent Deployment Challenge
Tencent Hunyuan Hy3 launches with a 295B MoE architecture activating just 21B params and 256K context. Hallucination cut from 12.5% to 5.4%, MRCR nearly doubled, with MTP and EAGLE decoding and Day-0 SGLang support.
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·4 分钟
DeepSeek-V4 Deep Dive: Million-Token Context Architecture Breakthrough and Core Innovations
Deep dive into DeepSeek-V4: 1.6T-parameter MoE, CSA+HCA hybrid attention, MHC & MUON optimizer. Inference FLOPs drop to 27% of V3.2, redefining open-source LLM SOTA.
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·3 分钟
GPT-5.6 Three-Model Architecture Explained: Sol/Terra/Luna Pricing and Performance Overview
GPT-5.6 introduces a Sol/Terra/Luna three-model architecture. Terra delivers near-flagship performance at half the price, with new Max and Ultra reasoning tiers.
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