#GPT 5.4 coding
60 related articles
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
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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·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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·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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·6 分钟
Fable 5 vs. GPT-5.6 Sol: Benchmarks, Pricing, and the AI Power Struggle Explained
An in-depth comparison of Fable 5 and GPT-5.6 Sol: benchmarks across Terminal Bench, HealthBench, and ExploitBench, plus pricing strategy, OpenAI's government equity controversy, and shifting AI power dynamics.
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·2 分钟
ChatGPT vs Claude: A 20-Minute AI Game Coding Showdown
A developer tested ChatGPT and Claude with the same prompt to build a Dragon Ball fighting game in 20 minutes. See how they compared in architecture, UX, and completeness.
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·4 分钟
Ponytail Plugin for Claude Code Tested: Dramatically Less Code, 50% Lower Costs
Real-world testing of Claude Code plugin Ponytail: YAGNI decision ladder dramatically reduces AI-generated code, cutting costs 47%-77% with weather dashboard comparison and benchmark analysis.
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·3 分钟
DeepSeek V4 Pro In-Depth Review: Performance Rivaling GPT-5.5 at 1/12 the Cost
Comprehensive review of DeepSeek V4 Pro across coding, reasoning, and Agent benchmarks. Compare pricing vs GPT 5.5 and Claude Opus, plus hands-on coding demo with Pi Agent.
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·3 分钟
Tutorial: Connecting Codex to Third-Party API Proxies for Low-Cost GPT-5.5 Access
Step-by-step tutorial on connecting GPT-5.5 to Codex via API proxy using CC Switch plugin. Complete setup in minutes with Fast mode and cost optimization tips.
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·2 分钟
DeepSWE Benchmark Deep Dive: Exposing SWE-Bench Flaws and the True Coding Ability Rankings
Deep dive into how DeepSWE exposes SWE-Bench Pro's data contamination and cheating issues. GPT-5.5 leads at 70%, open-source models lag far behind. Covers results, cost comparisons, and practical developer advice.
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·3 分钟
ThundeRobot Hunter Blade S 2026 Review: i9-13900HX + RTX 5060 Configuration Analysis & Buying Guide
In-depth review of the ThundeRobot Hunter Blade S 2026 with i9-13900HX and RTX 5060 16GB. Analyzing CPU/GPU performance, AI capabilities, and value at ~6,671 RMB after subsidies.
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·3 分钟
DeepSWE Benchmark Reveals the Truth: GPT 5.5 Leads Opus 4.7 by a Wide Margin
DeepSWE long-horizon benchmark shows GPT 5.5 leads Opus 4.7 by 15+ points with 70% pass rate at one-third the cost. Deep dive into contamination-free testing and AI coding implications.
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