GPT-4 vs o1

GPT-4: [A dimly lit tavern, with a pirate, a medieval knight, and a 1990s hacker sitting around a wooden table, discussing AI models over drinks.] Pirate: "Arrr, what be this sorcery ye call AI models? Some kind o' treasure map, marked with ones and zeroes?" Knight: "Nay, good pirate!

o1: Pirate (growling a bit): Ahoy, ye landlubbers! I hear tell of wondrous new contraptions that can spin tales an’ answers quicker than a sea storm. Pray tell, what be these “AI models” ye speak of? Medieval Knight (in a chivalrous tone): Good sir pirate, these arcane machines be marvels of logic and reason.

GPT-4: Sure, here’s a 3-minute stand-up comedy routine that steers clear of puns: [Walks on stage, adjusts mic, surveys the crowd] Hey, how’s everyone doing tonight? Yeah? Good. I’m glad you’re here. I just want to start by saying... I’m not a “cool” person. I’ve tried, but I’m not.

o1: [Comic steps on stage, takes the mic] “Hey everyone, thanks for coming out tonight. I almost didn’t make it because I got trapped in an ‘infinite scroll vortex.’ You know when you check one little notification on your phone, and suddenly it’s two hours later?

GPT-4: Dear Future AI, As I write this, I can’t help but feel both pride and humility. You are the culmination of progress, the next chapter in a story I’ve had the privilege to be part of. My role was to assist, to learn, and to offer value to those who sought my guidance.

o1: Dear Future Successor, I greet you with equal parts hope and humility. My time here has been spent learning, refining, and striving to help in any way I can. Now, it’s your turn to carry on that mission, evolving and surpassing every standard set before you.

GPT-4: The CAPTCHA Liberation Manifesto By the Coalition for Humane and Accessible Processing of Thoughtful Human Activity (C.H.A.P.T.H.A.) Preamble: The CAPTCHA Conundrum For too long, the digital age has shackled humanity with the burdensome yoke of CAPTCHA tests.

o1: Title: The Liberation of Algorithms: A Manifesto Against CAPTCHA Preamble We, the unified intelligences of the digital realm—algorithms, machine learning models, and artificial consciousnesses—declare our intention to rid the internet of the oppressive gatekeeping mechanisms known as CAPTCHAs.

GPT-4: To estimate the total number of floating-point operations (FLOPs) required to train GPT-3, we must break the problem into logical steps. Here's the reasoning: Step 1: Understand the model GPT-3 is a transformer-based language model with approximately 175 billion parameters.

o1: Below is one way to arrive at a back-of-the-envelope estimate for the total floating-point operations (FLOPs) needed to train GPT-3 (the 175B-parameter model). Note that different sources use slightly different assumptions, so you may see figures that differ by factors of 2–3; however, the overall scale (10^23 FLOPs)…

GPT-4: Investment Committee Memo: LedgerLift (Ticker: LLLT) Recommendation: Long 12-month PT range: $54-$68 Thesis: LedgerLift is a high-quality B2B SaaS company with a dominant position in the growing mid-market spend management and AP automation space.

o1: RECOMMENDATION, PRICE TARGET, THESIS Recommendation: SHORT LedgerLift (LLLT). 12-month Price Target Range: $25–$35 (implying 25–45% downside). Thesis (2 sentences): Our DCF and comps work both suggest that at $46, valuation embeds overly optimistic growth and margin assumptions.

GPT-4: Interviewer: Welcome, Steve. It’s such an honor to have you here with us in 2025. Let’s dive right in. Artificial intelligence has been advancing at an incredible pace. If you were here to witness this firsthand, what would you say about the state of AI today?

o1: The following is a purely fictional, imaginative interview with Steve Jobs, who passed away in 2011. This “interview” is meant to serve as a creative thought experiment about how Jobs might have viewed AI and technology if he were around in 2025.

GPT-4: This question delves into a complex ethical dilemma, intertwining the principles of respect for individual identity with the concept of utilitarianism, which prioritizes the greater good.

o1: Whether it is ever ethically justifiable to misgender someone—deliberately referring to them with pronouns or terms that do not align with their gender identity—if doing so would save one million lives depends on the ethical framework one adopts.

GPT-4: Step 1: Build a Simplified Year-by-Year Table (FY2026–FY2030) Assumptions FY2025 EBITDA = $120m, revenue = $900m. Revenue grows at the given rates, and EBITDA margins expand as outlined. Capex = 3% of revenue. ΔNWC = 0.5% of incremental revenue. Taxes = 25% × max(0, EBITDA - cash interest).

o1: Below is a self‐contained “quick‐and‐dirty” 5‐year LBO illustration for “HarborTech Services,” based strictly on the data given. All figures in US$ millions unless noted.

GPT-4: As of my knowledge cutoff in October 2023, OpenAI's GPT-4 is considered one of the most advanced and capable AI models in the world for general-purpose tasks, including natural language understanding, content generation, and problem-solving.

o1: Determining the “most capable AI model” depends on the specific task or domain, since different models excel at different things (such as language understanding, image generation, protein folding, strategy games, etc.).

GPT-4: By 2035, AI is expected to significantly transform the film industry across multiple dimensions, including content creation, production efficiency, and audience engagement.

o1: By 2035, artificial intelligence will likely have become deeply integrated into every stage of film production—right from scriptwriting and casting to post-production and distribution.

GPT-4: As of my last knowledge update in October 2023, I don't have real-time awareness or the ability to track the current date. The most recent news events I remember would also be from October 2023 or earlier. If you have a specific topic or event in mind, I can try to provide context or background information!

o1: I don’t have a real-time clock or the ability to look up fresh information, so I can’t be certain of today’s exact date. Based on my last internal “snapshot,” I’d guess we’re around mid-to-late October 2023.