Image created with Flux Pro v1.1 Ultra. Image prompt: CU Boulder brand style — CU Gold & Black, Helvetica Neue, Flatirons, Tuscan-vernacular sandstone + red-tile roofs; Leeds Business School exterior, overcast diffused light, 50mm human view, Flatirons contour motif; integrate the category “Business” via Glass Door Decal: upward-trending line chart with the word “BUSINESS”; natural light, clean professional inspiring tone, crisp focus, subtle grain, editorial composition
Clodo (@ClodoAI) is the AI Assistant for Real Estate Agents. It helps agents remember and follow up with all their leads. Dominate your follow-up, dominate your market. https://x.com/ycombinator/status/1953546689278804034
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
Comet for Enterprise is here. Comet is an AI-powered browser agent that thinks with you, linking tools for streamlined workflows and trusted answers. Enterprise Pro users maintain the security, privacy, and compliance standards that come with an Enterprise subscription. https://x.com/perplexity_ai/status/1956046685509210183
GitHub just got less independent at Microsoft after CEO resignation | The Verge https://www.theverge.com/news/757461/microsoft-github-thomas-dohmke-resignation-coreai-team-transition
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
Gemini 2.5 Pro has a 67% winrate against GPT-5 Thinking https://x.com/scaling01/status/1954546677185970271
Introducing LangExtract: A Gemini powered information extraction library – Google Developers Blog
https://developers.googleblog.com/en/introducing-langextract-a-gemini-powered-information-extraction-library/
Agents will become a common way people shop. So today we are releasing 3 tools to make adding commerce to those agents trivial: – Checkout Kit: embed commerce widgets and checkout(!) directly into your agent and chat. This is already being used by Microsoft’s @Copilot. – Shopify https://x.com/tobi/status/1952800271257706676
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
The future of package delivery is self-driving vehicles paired with humanoids that can perceive, reason and navigate within spaces designed for human interaction. Also, drones. https://x.com/TheHumanoidHub/status/1955760383018590459
Ex-OpenAI, DeepMind staffers set for $1 billion value in Andreessen-led round – Los Angeles Times SAY THE NAME OF THE COMPANY LATIMES – Periodic Labs… it’s not that hard. https://www.latimes.com/business/story/2025-08-08/ex-openai-deepmind-staffers-set-for-1-billion-value-in-andreessen-led-round
File under nonsense sounding headlings… LOL
Rumble Offers $1.2 Billion to Buy Northern Data. What a Deal Means for Tether. – Barron’s https://www.barrons.com/articles/rumble-stock-northern-data-tether-a474fc16
📊 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
Are you ready for OpenAI to unleash the monetization slop upon the masses? The real release of GPT-5 was the router and how they can reduce cost / compute for most users by routing to cheaper models. Open has a big strategic shift in the works, and consumer purchasing will shift.”” / X https://x.com/dylan522p/status/1955433082397589900
Palletizing in the real world! 📦🤖 How do you stack 65 unique SKUs on a pallet when they arrive in random order? Here’s how an on-the-fly algorithm solved it in a real logistics use case with only a single-digit buffer. Every placement was checked for stability, not just for https://x.com/IlirAliu_/status/1955323367059575263
There’s a window right now where AI agents will get built for every vertical and domain. The playbook is to go deep on the context engineering required for the vertical or particular space, figure out the right UX that ties into the existing workflows naturally, and connect to”” / X https://x.com/levie/status/1952110754276200929
To test reasoning, I got GPT-5 to create a complete launch plan for an AI app from a single idea It did competitor research, product specs, logo, pricing, GTM strategy, roadmap, and more for me If I were starting with zero business knowledge, this is an insane resource https://x.com/rowancheung/status/1953505326206013820
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
Your AI Agents can only analyze 1GB of data Enterprises have 1,000,000x as much data We fixed that… It took 3 years and building an entirely new execution environment to pull this off. TextQL lets AI agents analyze your ENTIRE enterprise data – not just the 0.0001% they can https://x.com/TheEthanDing/status/1953139460406665457
Is it possible to reinvent Resumés? We attempted that yesterday during a 6-hour stream. (Built via @lovable_dev ) https://x.com/steve_fau/status/1951993836802093137
showcase of a type of hard, valuable task that gpt-5 can do where previous models struggled:”” / X https://x.com/gdb/status/1953700116365492552
When you chat with Rufus on Amazon app, it is powered by vLLM! https://x.com/vllm_project/status/1956116150259212619
RT @scaling01: Anthropic is the only company where LLMs get more expensive over time https://x.com/scaling01/status/1955313676665151704
So pleased to announce the Humanloop team is joining @AnthropicAI! I couldn’t imagine a better home for the team. Everyone I’ve interacted with at Anthropic has been incredibly talented, high-trust and conscious of the stakes at play. Enormous gratitude to our customers and”” / X https://x.com/RazRazcle/status/1955488872235929712
We’re thrilled to announce that the Humanloop team is joining @AnthropicAI! Our mission has always been to enable the rapid and safe adoption of AI. Now, as AI progress accelerates, we think Anthropic is the ideal home to continue this work. https://x.com/humanloop/status/1955487624728318072
Firefly Aerospace hits $9.8 billion valuation in Nasdaq debut as shares takeoff | Reuters https://www.reuters.com/business/aerospace-defense/firefly-aerospace-hits-98-billion-valuation-nasdaq-debut-shares-takeoff-2025-08-07/
Humanloop joins Anthropic https://humanloop.com/
Meta acquires AI audio startup WaveForms | TechCrunch https://techcrunch.com/2025/08/08/meta-acquires-ai-audio-startup-waveforms/
iRobot Reports Second-Quarter 2025 Financial Results https://www.prnewswire.com/news-releases/irobot-reports-second-quarter-2025-financial-results-302523929.html
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
This guy runs a $100M laundromat business and he’s scared. He should be The only limiter now is pretraining data. Once we feed more data into Helix, the robot will handle more tasks The hardware needs no changes – it’s already built to do most tasks humans can”” / X https://x.com/adcock_brett/status/1954363628389609775
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
Microsoft Is Trying to Poach Meta AI Talent, Documents Show – Business Insider https://www.businessinsider.com/microsoft-trying-poach-meta-ai-talent-big-pay-packages2025-8
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
