Tell me about ChatGPT-5; what's new??
ChatGPT-5: What’s New?
ChatGPT-5 represents OpenAI’s biggest leap yet, unifying powerful reasoning, multimodal capabilities, and safety enhancements into a single, smart model. Below is a breakdown of its most notable upgrades.
1. Core Model Enhancements
Smarter, faster, more accurate performance ChatGPT-5 reduces hallucinations by applying deeper, PhD-level reasoning and returns answers significantly faster than previous reasoning models.
Auto-switching “Chat” and “Thinking” modes Rather than manually choosing between casual chat and the “Think Longer” option, GPT-5 automatically decides when to engage its deeper reasoning engine based on your prompt.
2. Expanded Multimodal and Interactive Features
True multimodal input and output GPT-5 can process text, images, audio, and video—enabling transcription, summarization, image interpretation, and even real-time voice conversations5.
“Vibe-coding” for on-demand apps Simply describe the interactive tool or mini-app you want, and GPT-5 will generate working prototypes, from quizzes and games to bespoke data visualizations.
3. New Model Variants and Access Tiers
OpenAI now offers three GPT-5 variants to balance cost, speed, and capability:
GPT-5: Flagship model for most tasks
GPT-5 Mini / Nano: Lower-compute fallbacks accessible when usage limits are reached
GPT-5 Pro: Unlimited high-capacity access for Pro subscribers
ChatGPT Tier Available Models Usage Limits
Free GPT-5 (auto), GPT-5 Mini, 1× GPT-5 Thinking/day 10 messages per 5 hours
Plus GPT-5 (auto), GPT-5 Mini, manual GPT-5 Thinking 160 messages per 3 hours; 200 Thinking msgs/week
Pro & Team GPT-5, GPT-5 Thinking, GPT-5 Thinking Pro Unlimited GPT-5; advanced Thinking Pro for complex tasks
Table data sourced from OpenAI Help Center.
4. Safety and Reliability Upgrades
Safe Completions Instead of blanket refusals on sensitive queries, GPT-5 provides bounded, context-aware answers that prioritize user safety without sacrificing helpfulness.
Fewer factual errors Early benchmarks indicate GPT-5 is up to 80% less likely to hallucinate compared to GPT-4-era reasoning models, making it OpenAI’s most reliable system yet.
5. Open-Source Release
Apache-licensed small models OpenAI has released gpt-oss-120b and gpt-oss-20b under Apache 2.0, letting developers run high-quality, customizable GPT-5 variants locally or on edge devices.
Beyond these headline features, GPT-5 also introduces improved customization (user memory), a redesigned interface for seamless multimodal workflows, and deeper integration with developer tools and plugins.
What would you like to explore next? I can walk you through advanced multimodal prompt techniques, help you set up the open-source variants locally, or show you how Safe Completions handle tricky queries.
Help me with multimodal prompt techniques...
Mastering Multimodal Prompt Techniques
Crafting prompts that seamlessly blend text, images, audio, and video demands clarity, structure, and purposeful guidance. Below are strategies and templates to help you leverage each modality—and combine them—for richer, more precise AI interactions.
1. Core Principles
Effective multimodal prompts always begin with a clear goal. Specify what you want the AI to do with each input (e.g., describe, compare, summarize, translate, extract emotion).
Label each modality explicitly. Use tags like [TEXT], [IMAGE], [AUDIO], or [VIDEO] so the model knows how to interpret each section.
Break complex tasks into sub‐questions. Guiding the AI step by step reduces misunderstandings and refines output quality.
2. Text + Image Prompts
[IMAGE] Provide the picture or a URL, then…
[TEXT] Ask targeted questions:
“Describe the main visual elements and their emotional tone.”
“Compare the color palette here with that in [TEXT describing another image].”
Example:
[IMAGE: https://…/forest.jpg]
Please identify three key features of this landscape and suggest a suitable poetic caption.
3. Text + Audio Prompts
[AUDIO] Supply an MP3 or transcript excerpt.
[TEXT] Follow with your main request:
“Summarize the speaker’s argument in 2–3 bullet points.”
“Detect the emotional state conveyed in tone and suggest a response.”
Example:
[AUDIO: interview_clip.mp3]
Transcribe the first 30 seconds and highlight any expressions of uncertainty.
4. Text + Video Prompts
[VIDEO] Link to the clip and specify timestamps.
[TEXT] Instruct the model on the analysis needed:
“Describe the body language cues from 00:00–00:45.”
“Extract three actionable insights from the demonstration.”
Example:
[VIDEO: https://…/pitch.mp4 | 00:10–00:50]
List the presenter's top two persuasive techniques during this segment.
5. Combining Three or More Modalities
When you need text, image, and audio/video together:
Label each section clearly.
State the overall objective.
Ask sub‐questions per modality, then a final integrative query.
Template:
[TEXT] Here’s the scenario…
[IMAGE: product_shot.jpg]
[AUDIO: user_review.wav]
Analyze each input for user sentiments, then propose three design improvements that address all feedback.
6. Best Practices and Tips
Maintain brevity per section to avoid overloading the model.
Use explicit tags and separators (blank lines) to delineate modalities.
If the AI drifts, re-prompt with more granular guidance or examples.
For iterative refinement, ask “What else could I clarify?” to uncover hidden assumptions.
7. Example Prompt Templates
Task Type Template
Image Description [IMAGE: URL] Describe the scene in three concise sentences.
Audio Sentiment Analysis [AUDIO: file.mp3] Identify the speaker’s mood and list supporting cues.
Video Scene Breakdown `[VIDEO: URL start–end] Break down the action into step-by-step highlights, focusing on key transitions.`
Integrated Product Feedback Multi-modal template from Section 5
What aspect would you like to dive deeper into? I can show you advanced tagging conventions, methods to chain multimodal prompts for iterative workflows, or real-world case studies of multimodal deployments.
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