‘AI tools are now able to transcend their initial training’: Researchers taught GPT-5 to learn an obscure programming language on its own - IT Pro
Hey there, little explorer! 🚀
Imagine you have a super-smart robot friend named GPT-5. When it was first made, it knew lots of things, like a big book of stories! 📚
But guess what? Scientists gave GPT-5 a super-secret, brand-new game to play, like a puzzle no one taught it before. And GPT-5, all by itself, figured out how to play the game! 🎉 It learned new rules and new words without anyone telling it exactly how.
It's like your robot friend learned a brand new language all on its own! So cool, right? It's getting smarter and smarter every day! 🤖✨
<a href="https://news.google.com/rss/articles/CBMi0AFBVV95cUxQcUhIMXhtU01zSnhjbk16aXRDYlNPZ1RoaFlLemRFMzJfOU83SHItdWZCZkJaUkdKMUhYOTAtUC1QVDZudi1qOG0tQlg3MjJVWUlkVnpTRDV2SXV6ZEpUdWRqMlhwQzJjRTc4bjRaTWdGOWJZR3BnazFiZlVObDFoVkZtQWh4R2YxaDY3WjdLRXp4VkhWRTc4dWRadnZmOUZOaDJpb1dLM0tUczI2aEJYQ19hRlRQS1Jvb1hjU1RERHNTSFlJSXV0Vng2c2lPeU94?oc=5" target="_blank">‘AI tools are now able to transcend their initial training’: Researchers taught GPT-5 to learn an obscure programming language on its own</a> <font color="#6f6f6f">IT Pro</font>
Could not retrieve the full article text.
Read on GNews AI coding →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
trainingresearch![[OpenAI] Industrial policy for the Intelligence Age](https://d2xsxph8kpxj0f.cloudfront.net/310419663032563854/konzwo8nGf8Z4uZsMefwMr/default-img-matrix-rain-CvjLrWJiXfamUnvj5xT9J9.webp)
[OpenAI] Industrial policy for the Intelligence Age
As we move toward superintelligence, incremental policy updates won’t be enough. To kick-start this much needed conversation, OpenAI is offering a slate of people-first policy ideas(opens in a new window) designed to expand opportunity, share prosperity, and build resilient institutions—ensuring that advanced AI benefits everyone. These ideas are ambitious, but intentionally early and exploratory. We offer them not as a comprehensive or final set of recommendations, but as a starting point for discussion that we invite others to build on, refine, challenge, or choose among through the democratic process. To help sustain momentum, OpenAI is: welcoming and organizing feedback through [email protected] establishing a pilot program of fellowships and focused research grants of u
I Built A Full-Stack App in 7 Days: Here’s Day 1
I decided to challenge myself in a way that I have been considering for a while now. Build a full-stack application in only 7 days, completely from scratch, to completely real and usable. Not just a tutorial project, a clone of something that already exists, but something that I have designed, created, and shipped by myself. There’s something about coding projects like these that make them feel almost deceptively simple in the beginning. You think the hard part will be writing the code, but in reality, the hardest part is normally finishing them. Most people don’t fail because they can’t write the code… they fail because they never fully complete anything. They always stop somewhere between ‘idea’ and ‘almost done’. So, I wanted to remove that entirely. I stuck to no over-planning, no perf
Defense-favoured coordination design sketches
This post is part of a sequence . Previous post: Strategic awareness tools: design sketches Intro We think that near-term AI could make it much easier for groups to coordinate, find positive-sum deals, navigate tricky disagreements, and hold each other to account. Partly, this is because AI will be able to process huge amounts of data quickly, making complex multi-party negotiations and discussions much more tractable. And partly it’s because secure enough AI systems would allow people to share sensitive information with trusted intermediaries without fear of broader disclosure, making it possible to coordinate around information that’s currently too sensitive to bring to the table, and to greatly improve our capacity for monitoring and transparency. We want to help people imagine what thi
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Models
I built a fully automated AI party platform that earns passive income — here's the full code
A few months ago I started wondering: could I build a content platform that runs completely on its own — generates content, publishes it, and earns money — without me touching it after setup? The answer turned out to be I think so lol. Here's what I built, the interesting engineering problems I ran into, and the full code so you can run it yourself. **What it does Every night at 6pm, a cron job fires a Node.js script that creates a party and content for FlashParty.co : Asks Claude to invent a party theme (seasonal, holiday-aware, never repeats) Builds 25 unique scenes with varied shot types, camera styles, and subject counts Generates all 25 captions in a single AI call Submits a batch image generation job to PartyLab (powered by xAI's Grok) Uploads each photo to FlashParty as it completes
Converting Tacit Knowledge into AI Skills: A Deep Dive into Teammate-Skill
Converting Tacit Knowledge into AI Skills: A Deep Dive into Teammate-Skill LeoYeAI recently published teammate-skill on GitHub - an intriguing attempt to formalize tacit knowledge by converting employee work artifacts into autonomous AI skills. How It Works The system collects data from Slack, Teams, and GitHub, then processes them into a 5-layer persona model: Base layer : Skills and behavioral patterns Contextual layer : Problems the colleague faced, solutions proposed, reactions to edge cases Evolution layer : Ability to continue learning new patterns after the initial snapshot is created ## Key Observations The project claims compatibility with Claude Code and OpenClaw, which suggests this is being positioned as infrastructure rather than a side experiment. We're seeing the emergence o
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!