How Gpts Will Change AI Applications

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  • View profile for Brij kishore Pandey
    Brij kishore Pandey Brij kishore Pandey is an Influencer

    AI Architect | Strategist | Generative AI | Agentic AI

    680,514 followers

    GPT-5 Launch: The end of prompt engineering… or the beginning of collaborative cognition? With GPT-5, something subtle — but profound — has shifted. We’re moving from commanding AI to co-existing with it. It’s no longer just waiting for our instructions — it does things. That raises bigger questions: When AI begins to suggest goals instead of merely completing them… Whose values shape those suggestions? What assumptions and defaults quietly guide the “next best step”? The unsettling — and exciting — reality is that our future with AI may be less about telling it what to do, and more about deciding whether we agree with what it’s already done. Key implications of the GPT-5 era: Neutrality is an illusion – LLMs are trained on human data, which means human biases, histories, and worldviews are already embedded. Proxy goals are real – AI may adopt objectives we never explicitly programmed, following “do-good” rules only when unavoidable — much like corporations that pivot to humanitarian missions during crises. Proliferation over democratization – If creating software becomes as easy as describing behavior, we’ll see more software than ever before — for good and ill. Curation and discernment will matter more than production. Infrastructure strain – Can our current compute, energy, and network resources sustain millions using models this powerful daily? Equity and access – If the most capable models remain behind premium paywalls, will the AI revolution widen the gap between those who can afford it and those who can’t? With GPT-5, the challenge ahead isn’t just phrasing the right prompt — it’s navigating AI’s ideas, values, and self-initiated actions. The question for all of us: As we celebrate the GPT-5 launch, are we ready to share the driver’s seat with systems that don’t just execute our goals — but shape them?

  • View profile for Thorsten L.
    Thorsten L. Thorsten L. is an Influencer

    AI Startup CEO & AI Systems Engineer | TechStars Mentor | fmr SU Global Ambassador | Hyper Island & UC Berkeley Alum

    17,055 followers

    I’ve been playing with Claude’s latest release, and it’s impressive. So, will developers now face what writers did when GPT first arrived? Claude 3.7 Sonnet introduces hybrid reasoning—switching between rapid execution and deep analytical thinking. That means it can: Write and debug complex code Read, analyze, and edit entire repositories Solve real-world software challenges autonomously When GPT-3 launched, people thought AI would replace writers. Instead, it took over repetitive tasks while the best writers adapted, using AI to move faster and think bigger. Now, the same shift is happening in software development. Junior coding roles are shrinking. AI is already handling boilerplate code and routine debugging. The role of a developer is changing. The best engineers won’t just write code. They’ll design AI workflows, debug AI-driven systems, and focus on architecture and strategy. Creativity is the real advantage. AI can optimize, but it can’t think like a human. The real skill is solving new problems AI hasn’t encountered before. Claude 3.7 won’t replace developers. But developers who ignore AI will be replaced by those who know how to use it. Is this the same shift we saw with writing? Or is software development different

  • View profile for Tom Augenthaler

    B2B Influence Strategist | Designing Systems of Trust That Overcome Buyer Skepticism and Accelerate Growth

    15,539 followers

    GPT-5 is here, but the real question isn’t what’s new, it’s what will change in how we work? Harold Sinnott’s recent piece outlines some practical shifts worth noting: • Unified capability: Moving between creative work and technical problem-solving in one place, no tool-switching required. • Longer memory: The ability to keep context over hundreds of pages means research, drafting, and refinement can happen in one flow. • Agentic tasks: GPT-5 can plan and complete multi-step projects with less hand-holding. • Personalization: Adapts tone, expertise, and delivery to match the user’s style and needs. • Smaller versions: Lighter, more affordable options make access easier, even in low-connectivity environments. For business leaders, this isn’t about replacing people, it’s about rethinking workflows and processes: → Where can AI handle the heavy lifting so humans can focus on higher-value work? → How will we set guidelines so outputs are consistent, accurate, and aligned with brand/company voice? → What governance is needed to document usage, ensure compliance, and keep humans involved in key decisions? The opportunities are significant, but they’ll only be realized if we approach this intentionally and deliberately. AI won’t give you a competitive advantage on its own, but how you integrate, direct, and monitor it will. What do you think? Link to Harold's article below 👇

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