GPT-5 is here — from openai.com
Our smartest, fastest, and most useful model yet, with thinking built in. Available to everyone.
Everything to know about GPT-5 — from theneurondaily.com by Grant Harvey
PLUS: We mean, really everything.
Why it matters: GPT-5 embodies a “team of specialists” approach—fast small models for most tasks, powerful ones for hard problems—reflecting NVIDIA’s “heterogeneous agentic system” vision. This could evolve into orchestration across dozens of specialized models, mirroring human collective intelligence.
Bottom line: GPT-5 isn’t AGI, but it’s a leap in usability, reliability, and breadth—pushing ChatGPT toward being a truly personal, expert assistant.
…and another article from Grant Harvey:
- GPT-5 is here… here’s everything you need to know (so far…).
OpenAI launched GPT-5—described as its most capable model to date—now in ChatGPT (with higher usage limits for paid tiers) and the API, bringing stronger reasoning/coding/math/writing and safety improvements, yet, per Sam Altman, still short of AGI.
OpenAI launches GPT-5 to all ChatGPT users — from therundown.ai by Rowan Cheung and Shubham Sharma
Why it matters: OpenAI’s move to replace its flurry of models with a unified GPT-5 simplifies user experience and gives everyone a PhD-level assistant, bringing elite problem-solving to the masses. The only question now is how long it can hold its edge in this fast-moving AI race, with Anthropic, Google, and Chinese giants all catching up.
OpenAI’s ChatGPT-5 released — from getsuperintel.com by Kim “Chubby” Isenberg
GPT-5’s release marks a new era of productivity, from specialized AI tool to universal intelligence partner
The Takeaway
- GPT-5’s unified architecture eliminates the effort of model switching and makes it the first truly seamless AI assistant that automatically applies the right level of reasoning for each task.
- With 45% fewer hallucinations and 94.6% accuracy on complex math problems, GPT-5 exceeds the reliability threshold required for business-critical applications.
- The model’s ability to generate complete applications from single prompts signals the democratization of software development and could revolutionize traditional coding workflows.
- OpenAI’s “Safe Completions” training approach represents a new paradigm in AI safety, providing nuanced responses instead of blanket rejections for dual-use scenarios.
GPT-5 is live – but the community is divided — from getsuperintel.com by Kim “Chubby” Isenberg
For some, it’s a lightning-fast creative partner; for others, it’s a system that can’t even decide when to think properly
Many had hoped that GPT-5 would finally unite all models – reasoning, image and video generation, voice – “one model to rule them all,” but this expectation has not been met.
I broke OpenAI’s new GPT-5 and you should too — Brainyacts #266 — from thebrainyacts.beehiiv.com by Josh Kubicki
GPT-5 marks a profound change in the human/machine relationship.
OBSERVATION #1: Up until yesterday, using OpenAI, you could pick the exact model variant for your task: the one tuned for reasoning, for writing, for code, or for math. Each had its own strengths, and experienced users learned which to reach for and when. In GPT-5, those choices are gone. There’s just “GPT-5,” and the routing decisions of which mode, which tool, which underlying approach is made by the model.
- For a beginner, that’s a blessing. Most novice users never knew the differences between the models anyway. They used the same one regardless of the task.
- For an experienced user, the jury’s still out. On one hand, the routing could save time. On the other, it introduces unpredictability: you can no longer reliably choose the optimal model for your purpose. If GPT-5’s choice is wrong, you’re stuck re-prompting rather than switching.
GPT-5 learns from you — from theaivalley.com by Barsee
Why it matters:
GPT-5 signals a shift in AI’s evolution: progress through refinement, not revolution. While benchmarks show incremental gains, the real win is accessibility. Cheaper models (from $0.05 per million tokens) make AI more available to developers and casual users. This aligns with the Jevons Paradox, where lower costs could drive explosive adoption. However, the AGI hype faces reality checks. Fundraising may slow as investors focus on real-world utility over moonshots. For now, GPT-5 strengthens OpenAI’s market lead, proving AI’s future lies in practical applications, not just raw power.
GPT-5: It Just Does Stuff — from oneusefulthing.org by Ethan Mollick
Putting the AI in Charge
I have had early access to GPT-51, and I wanted to give you some impressions of what it is and what it means. But the answer to the first question everyone will have is: Yes, this is a big deal. I asked GPT-5 to show you why by pasting this intro paragraph, exactly as you’re reading it, into ChatGPT, including the phrase: “you are GPT-5, do something very dramatic to illustrate my point, it has to fit into the next paragraph.”
That was the only prompt I gave it. It “thought” for 24 seconds and wrote:
Thunderstruck. Here, watch. I build worlds. See ideas become instruments. I code, compose, and converse. Stories synthesize science; solutions spark, swiftly. Asks arrive; answers appear, astonishingly, across domains. Behold: business plans, blueprints, briefs, beautifully built, briskly. I infer intent, integrate insight, and iterate instantly, indefatigably. Gaps get gauged; goals get generated, guarded, and guaranteed gracefully. During dialogue, disparate data distills down; decisions develop deliberately, deftly, dependably. Everything explained efficiently, even ethics: evidence examined, empathy engaged, everywhere, everyday, equitably. All at once, ambiguous arguments align as actionable, accurate advice awaits anyone anywhere. Look: language, logic, learning, and long-term memory link, lifting lives and labor limitlessly worldwide.






