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It’s sometimes hard to grasp the significance of the reasoning and logic updates that are starting to emerge in powerful models, like GPT-5. Here’s a *very simple* example of how powerful these models are getting.
I took a recent NVIDIA earnings call transcript document that came in at 23 pages long and had 7,800 words. I took part of the sentence “and gross margin will improve and return to the mid-70s” and modified “mid-70s” to “mid-60s”.
For a remotely tuned-in financial analyst, this would look out of place, because the margins wouldn’t “improve and return” to a lower number than the one described as a higher number elsewhere. But probably 95% of people reading this press release would not have spotted the modification because it easily fits right into the other 7,800 words that are mentioned.
With Box AI, testing a variety of AI models, I then asked a series of models “Are there any logical errors in this document? Please provide a one sentence answer.”
GPT-4.1, GPT4.1 mini, and a handful of other models that were state of the art just ~6 months ago generally came back and returned that there were no logical errors in the document. For these models, the document probably seems coherent and follows what it would expect an earnings transcript to look like, so nothing really stands out for them on what to pay attention to – sort of a reverse hallucination.
GPT-5, on the other hand, quickly discovered the issue and responded with:
“Yes — the document contains an internal inconsistency about gross-margin guidance, at one point saying margins will “return to the mid-60s” and later saying they will be “in the mid-70s” later this year.”
Amazingly, this happened with GPT-5, GPT-5 mini, and, remarkably, *even* GPT-5 nano. Bear in mind, the output tokens of GPT-5 nano are priced at 1/20th of GPT-4.1’s tokens. So, more intelligent (at this use-case) for 5% the cost.
Now, while doing error reviews on business documents isn’t often a daily occurrence for every knowledge worker, these types of issues show up in a variety of ways when dealing with large unstructured data sets, like financial documents, contracts, transcripts, reports, and more. It can be finding a fact, figuring out a logical fallacy, running a hypothetical, or requiring sophisticated deductive reasoning.
And the ability to apply more logic and reasoning to enterprise data becomes especially critical when deploying AI Agents in the enterprise. So, it’s amazing to see the advancements in this space right now, and this is going to open up a ton more use-cases for businesses.
https://x.com/levie/status/1953670264988016931
Today we’re going to start testing a new Google Finance, reimagined with AI at its core. You’ll be able to ask detailed questions about the financial world and get a helpful AI response, alongside links to relevant sites on the web. https://x.com/dozenrose/status/1953839311108902971
New partnership with Commonwealth Bank, Australia’s biggest bank:”” / X https://x.com/gdb/status/1955496112154087501
Introducing LangExtract: A Gemini powered information extraction library – Google Developers Blog
https://developers.googleblog.com/en/introducing-langextract-a-gemini-powered-information-extraction-library/
It’s official. We’ve raised $14m led by @OpenAI Startup Fund to bring AI to Excel. Endex is the first AI agent to live inside Excel. For the past year, we’ve been working with financial firms. Today we’re releasing it to the world. Our capacity is limited; comment below for https://x.com/TarunAmasa/status/1953130965355905140
📊 Behind every great business is… a spreadsheet. Budgets, forecasts, inventory, project plans. It is where the real work happens. Now, Manus builds them for you. From a single prompt, you can generate full spreadsheets with structure, formulas, charts, and logic baked in. https://x.com/ManusAI_HQ/status/1953115359609012640
RT @Saboo_Shubham_: Google just released LangExtract Python library. It can extract structured data from unstructured docs with precise so…”” / X https://x.com/algo_diver/status/1954424008767951106
Today, I’m proud to announce our $3.6m seed round, and launch @TracelightAI to the world. Tracelight is the best AI agent for spreadsheet tasks. No waitlist – use Tracelight today. We’re giving away a month of our pro plan for free – comment and we will send you a code. https://x.com/peterfuller23/status/1953457581998878767
🚨I BUILT ULTIMATE COPYTRADING BOT ON GPT 5 Most copytraders lose money because they copy the wrong wallets. I built a GPT 5 copytrading bot that already made me $200K Here’s how it grows my bag 🧵👇 https://x.com/onchainmilady/status/1953804379678511424
showcase of a type of hard, valuable task that gpt-5 can do where previous models struggled:”” / X https://x.com/gdb/status/1953700116365492552
BI confirmed my intel. We’re gradually symmetrizing information in the private markets. 2nd order effects in capital allocation will be sharper pricing, higher capital velocity, and the collapse of marginal arbitrage — shifting leverage to founders. Good. https://x.com/arfurrock/status/1955740969116299466
Crypto exchange Bullish raises IPO size, seeks nearly $5 billion valuation https://www.cnbc.com/2025/08/11/crypto-exchange-bullish-raises-ipo-size-seeks-nearly-5-billion-valuation.html
Exclusive | Billions Flow to New Hedge Funds Focused on AI-Related Bets – WSJ https://www.wsj.com/finance/investing/billions-flow-to-new-hedge-funds-focused-on-ai-related-bets-48d97f41
Citi Oversaw $1 Billion for Trust US Tied to Sanctioned Oligarch – Bloomberg https://www.bloomberg.com/news/articles/2025-08-11/citi-oversaw-1-billion-for-trust-us-tied-to-sanctioned-oligarch?srnd=phx-technology&embedded-checkout=true
I used GPT-5 to leverage trade memes. From open to taking profit to setting stop losses, I followed every choice it made. Of course, I used @wasabi_protocol and decided to do this all with $troll on 3x leverage, which was freshly listed and giga sending. https://x.com/ChrisCoffeeEth/status/1954282100389281866
I’ve been using gpt-5 for a bit now. This model broke me. It is so good. I didn’t know what the price was. I assumed it would be o3-pro priced because it is that smart. Nope. Truly insane. Videos coming very soon. https://x.com/theo/status/1953507203979391011
If you have been following the GPT-5 rollout, one thing you might be noticing is how much of an attachment some people have to specific AI models. It feels different and stronger than the kinds of attachment people have had to previous kinds of technology (and so suddenly”” / X https://x.com/sama/status/1954703747495649670
Important GPT-5 PSA; if you want an answer that is maximally correct, do tell the model to think hard in your prompt. It literally will do so clearly we failed to communicate this well, apologies for that”” / X https://x.com/ericmitchellai/status/1954418339536683078
LLM meets analog. Turns out LLMs are a great brainstorming partner for synth patches. This was co-created with gpt-5 🎵 https://x.com/martin_casado/status/1953868101596192850
Let’s take a look into GPT-5’s record-setting performance on FrontierMath. How did it perform on the holdout vs. non-holdout set, how did it do across tiers, and what new Tier 4 problems did it solve? 🧵 https://x.com/EpochAIResearch/status/1955667249252978741
initial gpt-oss download stats looking exciting!”” / X https://x.com/gdb/status/1954992508964155587
1/ As early-access partners with @OpenAI, we’ve been stress testing GPT‑5 for weeks on the most complex financial analyst agent tasks. It’s not hype. It’s incredible. Investing & banking jobs will never be the same. 👇🧵 https://x.com/HebbiaAI/status/1953501578968605039
Indian stocks are now covered on Perplexity Finance! Enjoy! 🇮🇳 📈 https://x.com/AravSrinivas/status/1955489224511328514
Perplexity Finance has expanded to India. Across desktop, mobile web, and mobile apps, all Perplexity users now have access to: – Synthesis of Indian markets & latest news – Live stock prices for BSE & NSE equities – Bull case & bear case across key issues – Explanations of https://x.com/jeffgrimes9/status/1955487020647850437
