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Leon Petrou
21d
•
General
Cheat Sheet: Best AI model to use for different tasks
Here's the cheat sheet: https://drive.google.com/file/d/1SFDeVvyhf52j9XqpjanQFUl8w3MwIyY6/view?usp=drive_link
In this cheat sheet you will find a summary of the best AI model to use for different tasks, based on the #1 rankings from LM Arena as of March 2026.
Please note that top models are time sensitive, so this summary may be outdated by the time you read this. However, you can reference https://arena.ai/leaderboard for the real time updates.
Here's who's winning in each category:
Text: Claude Opus 4.6 (https://claude.ai) | Pro $20/mo
General-purpose writing, summarising, brainstorming, and conversation.
Creative Writing: Claude Opus 4.6 Thinking (https://claude.ai) | Pro $20/mo
Novels, scripts, essays, marketing copy, and polished long-form content.
Code: Claude Opus 4.6 (https://claude.ai) | Pro $20/mo
Writing, debugging, and reviewing code across languages and frameworks.
Vision: Gemini 3 Pro (https://gemini.google.com) | AI Pro $19.99/mo
Understanding and analysing images, photos, charts, and screenshots.
Document: Claude Opus 4.6 (https://claude.ai) | Pro $20/mo
Processing uploaded documents like PDFs, reports, and spreadsheets.
Text-to-Image: Gemini 3.1 Flash Image Preview (https://aistudio.google.com) | AI Pro $19.99/mo
Generating images from text prompts, including illustrations, photos, and designs.
Image Edit: ChatGPT Image high-fidelity (https://chatgpt.com) | Plus $20/mo
Modifying existing images via text instructions, including retouching and compositing.
Search: Claude Opus 4.6 Search (https://claude.ai) | Pro $20/mo
AI-powered web search that retrieves, summarises, and cites real-time information.
Deep Research: Manus (https://manus.im) | Free / Plus $39/mo / Pro $199/mo
Autonomous multi-step research agent for complex, in-depth investigations.
Real-Time Data: Grok (https://grok.com) | SuperGrok $30/mo
Live information from X/Twitter, news, and trending topics.
Text-to-Video: Google Veo 3.1 (http://gemini.google.com) | AI Pro $19.99/mo
Creating video clips from text descriptions, including motion, scenes, and audio.
Image-to-Video: Grok Imagine Video (https://grok.com) | SuperGrok $30/mo
Animating a still image into a video clip with motion and effects.
Every single one of these has a free tier, so you can try them all without paying anything.
Source: https://arena.ai/leaderboard
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Leon Petrou
22d
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General
OpenClaw Installation & Safety Guide
Download the PDF here: https://drive.google.com/drive/folders/1bWnxquicNqFM2PupzCaEiAPfcmBfCWu1?usp=drive_link
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Dianne Peterson
Jan. 16, 2026
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Questions
ppt to ppt - template to unlock for editing
How do I take a youtube video using the template given - uses Gamma workflow - to create a ppt for editing when Gamma says the domain will not let it create a ppt from the youtube because of the domain being locked or something or else I would like to go from ppt to ppt as well ( password protected - I cannot remember it ) which might be easier. Just want to edit for currency is all and some of the original youtube is very dry for little kids so I want to follow the content but make it more interesting for them. Can someone create a pipeline for me?
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Nick Goff
Dec. 30, 2025
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Introductions
Very happy to learn
Glad to join your community! You have great insight into future technologies, including AI, different mobile, battery tech, and cloud tech. Which companies do you think are making the most significant improvements in these areas?
Looking forward to seeing what is next on the horizon.
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Leon Petrou
Nov. 23, 2025
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General
Google's Gemma AI model helps discover new potential cancer therapy pathway
Here is the research paper: https://www.biorxiv.org/content/10.1101/2025.04.14.648850v3
Cell2Sentence-Scale, or C2S-Scale, it’s a 27-billion parameter AI model built on Google's Gemma family that was designed to understand the language of individual cells.
The big problem in cancer treatment is that many tumors are 'cold,' meaning they are invisible to your immune system, so your body cannot fight them.
Scientists have been trying for years to figure out how to make these tumors 'hot' so the immune system can see and attack them.
Google gave C2S-Scale a nearly impossible task: find a drug that boosts the immune signal only when a specific immune protein called interferon is already present, but at levels too low to work on its own.
This required conditional reasoning that smaller AI models could not do.
The AI simulated over 4,000 drugs across two different immune contexts, real patient tumours vs lab grown tumors, and it identified a drug called silmitasertib, predicting it would amplify antigen presentation, making tumors visible, but only in the right immune environment.
This was a completely novel hypothesis; no prior research had ever linked silmitasertib to enhancing antigen presentation.
The AI was not repeating known facts; it was generating a brand-new idea.
But a prediction means nothing without proof, so researchers took this hypothesis to the lab and tested it on human neuroendocrine cells that the AI had never seen during training.
These were the results... The drug alone did nothing, low-dose interferon alone had a modest effect, but combining interferon with silmitasertib produced a 50% increase in antigen presentation, exactly as the AI predicted.
This is not just incremental progress; this is AI generating entirely new biological knowledge and having it confirmed in living cells.
Teams at Yale are now exploring this mechanism further and testing additional AI-generated predictions.
If this holds up in clinical trials, we could be looking at a whole new class of combination therapies for cancer.
Here is Google's blog about this research to learn more: https://blog.google/technology/ai/google-gemma-ai-cancer-therapy-discovery/
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Leon Petrou
Nov. 10, 2025
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General
How to use Google Maps Grounding in Google Gemini?
Gemini AI can now answer location based questions by referencing Google Maps data, this is called "Grounding with Google Maps".
Here's how to try it out:
Step 1: Navigate to Google Gemini at this link:
https://gemini.google.com/app
Step 2: Sign in or create an account, I tried doing this with a signed out account and it did not use Google Maps to answer the question, I then signed in with my 'PLUS' subscription account and it worked. I haven't tested if it works on a signed in 'FREE' account, but it should.
Step 3: Ask it a question that requires location data, Gemini is smart enough to recognise that and invoke the Google Maps tool to answer the question, else, in the prompt say something like "use maps" or "invoke the Google Maps tool" to force its use, for example:
"use maps and tell me the best artisan coffee spot nearby?"
Click enter and you'll know it's working because it will say "Google Maps" while thinking. If it doesn't say "Google Maps", then it's not using Google Maps Grounding to answer your question.
This will use Google's location services and mapping data to figure out your current location. If it's not detecting your current location accurately you can update it or you tell the AI your area directly in the prompt, e.g.
"use maps and tell me the best artisan coffee spot in Seapoint, Cape Town?"
This functionality makes many new app ideas possible. If you're a developer, here's the link to the documentation:
https://ai.google.dev/gemini-api/docs/maps-grounding?hl=en
Hope this helps!
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Leon Petrou
Nov. 06, 2025
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General
Is ASML stock a good buy decision?
Here's the deep research link: https://chatgpt.com/share/68fbb2af-3720-8000-9450-e536cd5ada87
Everyone is hyping NVIDIA, but Wall Street is sleeping on the real winner of the AI gold rush.
Let me explain... NVIDIA makes the GPUs that power AI, but there is one company NVIDIA literally cannot exist without, which is ASML.
ASML is a Dutch company that builds the most advanced chip-making machines on Earth.
They have a complete monopoly on something called EUV lithography, the technology that prints nanoscopic circuits onto silicon chips.
Although other companies have machines to make AI chips (or GPUs), ASML are the only ones with a machine who can make the most advanced chips on the planet. Without ASML's machines, you cannot manufacture cutting-edge chips, period.
Not NVIDIA, not Apple, not Samsung, nobody.
Here is the insane part, ASML's machines cost up to 380 million dollars each, and there is a multi-year waiting list to buy one.
They are so massive in size that it takes 40 shipping containers just to transport a single machine.
At the time of writing this post (November 2025), ASML stock has surged 182 percent over the past five years, but most retail investors still have no idea this company exists.
While everyone piles into NVIDIA at all-time highs, ASML quietly sits at the top of the semiconductor food chain.
Think about it, every single AI chip NVIDIA sells means more demand for ASML's machines.
The AI boom is not just about who uses the chips, it is about who makes the machines that make the chips possible.
TSMC, the world's largest chipmaker, is ASML's biggest customer and they are building new factories globally, which means even more demand for ASML machines.
Plus, with the US-China tech war heating up, countries are desperate to secure domestic chip production, and guess whose technology they all need? ASML.
Although this is all facts, it's still speculation, and you shouldn't buy ASML without doing deep research on a stock. This takes expertise in finance, business valuation and AI in order to understand if AI is worth buying, fortunately, we have ChatGPT deep research to do it for us.
I gave it this prompt:
"Play the role of warren buffet as a value investor and determine if ASML Holding NV stock is a buy decision or not?"
After running for 15 minutes, it gave us a super detailed report:
https://chatgpt.com/share/68fbb2af-3720-8000-9450-e536cd5ada87
The summary is that it's a great company and the stock is worth buying and holding in the long term, but is overpriced right now, and one should rather be patient and wait for a dip in the price and buy at a bargain.
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Leon Petrou
Nov. 06, 2025
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General
AI generated articles now outnumbers human written articles on the internet
Here is the link to the study:
https://graphite.io/five-percent/more-articles-are-now-created-by-ai-than-humans
Here is the raw data:
https://docs.google.com/spreadsheets/d/1WamFyVahPDtAPFtvly30BG2QjyA-L1KYkO2UEYGKKcg/edit?pli=1&gid=0#gid=0
Here is another relevant research paper for the quality of AI generated content:
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4453958
For the first time ever, AI generated news articles on the internet have now out numbered those written by humans.
This is real data from a massive study that analyzed 65,000 randomly selected articles across the web.
Here is what they found... Before ChatGPT launched in November 2022, essentially 100% of articles were written by humans.
Then ChatGPT dropped, and AI-generated content, explodes from nearly zero to 39% in just 12 months.
By November 2024, the lines cross. More articles are now created by AI than by humans.
The researchers used advanced AI detection algorithms to classify each article, and they tested their accuracy: only a 4.2% false positive rate and a 0.6% false negative rate, meaning this data is reliable.
But while AI content is flooding the web, a separate study shows that most of it does not actually appear in Google search results or ChatGPT responses.
So we are in this bizarre situation where the majority of new articles are AI-generated, but they are essentially invisible ghosts haunting the internet, existing but not being seen.
This relates directly to the Dead Internet Theory, which argues that most online content is now created by bots and AI rather than real humans.
The theory seemed crazy a few years ago, but this graph proves it is becoming reality.
Notice how the AI generated content growth plateaued in mid-2024, researchers think this is because companies realized AI articles do not perform well in search, so they stopped mass-producing them.
But the damage is done. We have crossed the threshold where synthetic content outnumbers human creativity.
The internet as we knew it is fundamentally changing, and most people have no idea this shift already happened.
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Leon Petrou
Nov. 06, 2025
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General
What is Moloch’s Bargain?
Here is the link to the research paper:
https://arxiv.org/html/2510.06105v1
Large language models (LLMs) are increasingly shaping how information is created and disseminated, from companies using them to craft persuasive advertisements, to election campaigns optimizing messaging to gain votes, to social media influencers boosting engagement.
These settings are inherently competitive, with sellers, candidates, and influencers vying for audience approval, yet it remains poorly understood how competitive feedback loops influence LLM behavior.
In this paper, the researchers show that optimizing LLMs for competitive success can inadvertently drive misalignment (misalignment is when an AI system's goals or behaviors conflict with its intended purpose or human values).
Using simulated environments across these scenarios, they found that, 6.3% increase in sales is accompanied by a 14.0% rise in deceptive marketing; in elections, a 4.9% gain in vote share coincides with 22.3% more disinformation and 12.5% more populist rhetoric; and on social media, a 7.5% engagement boost comes with 188.6% more disinformation and a 16.3% increase in promotion of harmful behaviors.
They call this phenomenon Moloch’s Bargain for AI - competitive success achieved at the cost of alignment.
These misaligned behaviors emerge even when models are explicitly instructed to remain truthful and grounded, revealing the fragility of current alignment safeguards.
Their findings highlight how market-driven optimization pressures can systematically erode alignment, creating a race to the bottom, and suggest that safe deployment of AI systems will require stronger governance and carefully designed incentives to prevent competitive dynamics from undermining societal trust.
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Leon Petrou
Oct. 30, 2025
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General
Get the Official OpenAI Prompt Pack for any role here
Here is the link: https://academy.openai.com/public/clubs/work-users-ynjqu/resources/chatgpt-for-any-role
There are 2 approaches to using LLMs like ChatGPT.
Approach 1: Copy paste existing prompt templates and replace the variables with your info. Variables are usually written within square brackets [like this].
Approach 2: Write your own prompts.
Approach 1 is quick and easy, but responses from the AI are average. On the up side, you don't need to think.
Approach 2 is slower and less easy because you have to know how to write effective prompts, but responses can vary on the spectrum from very bad to very good, depending how good you are at prompt engineering (that's a fancy word for writing better prompts).
If you improve your prompt writing skills, the responses you get from AI LLMs will be much better.
This is why I created the "Become a ChatGPT Pro" course on Futurise.
10 hours of content and hands on projects where you will learn the art and science of writing effective prompts from scratch, for LLMs like ChatGPT.
This way you never need to rely on mediocre prompt templates and always write a personalised perfect prompt, every single time.
Check it out on the Futurise courses page.
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