Google added native file generation to Gemini. Ask for a budget, a brief, or a deck, and Gemini produces the actual file: PDFs, Word docs, Excel sheets, Google Docs, Sheets, Slides, plus formats like CSV, LaTeX, RTF, and Markdown. No more copying chat output into a blank document and reformatting it manually. You can download the file directly or push it to Drive. The feature is rolling out to all Gemini users globally, free or paid. Why it matters: - Skip the copy-paste-reformat dance entirely. - Supports PDFs, Office files, Google Workspace, and more. - Available now to all Gemini users worldwide.

Hello everyone. Last week, we developed an AI model that predicts greyhound race results. This model analyzes and learns from the race results of the past year to predict the likely winner of the next race and calculates the break-even point based on the odds. Developed using AutoGen, this model predicted the leading contenders with 87% accuracy, which is a notable achievement in the betting industry. Are there any of you currently working on similar projects or have any ideas? Modec is currently researching ways to increase the probability of recommending leading contenders to over 93%.

Ive been using ChatGPT for a while now but never really looked into Claude, but Ive been hearing a lot about Claude recently. thoughts?

I’ve been digging into it today, and it’s definitely a noticeable step forward from 5.4 in a few key areas. GPT-5.5 is the strongest agentic coding model to date. On Terminal-Bench 2.0, which tests complex command-line workflows requiring planning, iteration, and tool coordination, it achieves a state-of-the-art accuracy of 82.7%. Here’s what stood out straight away: • Stronger reasoning and accuracy It feels more reliable when working through complex tasks, especially anything that involves multiple steps or deeper thinking. • Better at real-world work Writing, research, analysing data, structuring ideas… it just handles these more smoothly without needing as much back-and-forth. • Improved coding + technical help If you’re building apps, automations, or workflows, the responses feel cleaner and more usable first time. • More consistent outputs Less randomness, fewer weird replies, and generally more predictable results when you give it a clear prompt. • Handles larger context even better Great if you’re working with long documents, big prompts, or ongoing projects. What this actually means for us For most people here, it’s not about “new features”… it’s about getting better results faster. • Fewer prompt tweaks • More usable first drafts • Better outputs for clients • More reliable automations If you’re using ChatGPT daily for business, content, or building tools… this should make things noticeably smoother.

We’ve just had a pretty big update drop with ChatGPT Image 2… and it’s seriously impressive. I’ve been testing it over the last day, and the quality of the images it’s producing is on another level compared to what we’ve seen before. The detail, lighting, realism, and consistency are all noticeably better - no more gibberish text too! What stood out most for me: - Much more realistic faces and expressions - Better text handling inside images (still not perfect, but a big step forward) - More consistent styles across multiple images - Stronger understanding of prompts without needing loads of tweaking I’ve attached a bunch of examples to this post so you can see exactly what it’s capable of 👇 If you’re creating content, ads, thumbnails, product visuals, or even just experimenting… this is definitely worth spending some time with. 🤩 Curious to hear what you all think once you’ve tried it. Have you managed to get anything particularly good out of it yet that's going to be useful to your business? Cheers Jason 🙌