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- 👨💻 "Oldest" AI Coders Still Debug Like a "Baby"?
Read time: 5 minutes
In response to Google Cloud Next 25 grabbing headlines with a wave of flashy new AI tools, OpenAI isn’t backing down. While Google went loud, OpenAI quietly rolled out a major ChatGPT update, dropping its own agents benchmark & program.
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AI INSIGHTS
👨💻 AI Writes Code Like Pro But Debugs Like “Baby”
Sundar Pichai says 25% of Google’s new code comes from AI. Zuckerberg wants AI coding tools everywhere inside Meta. OpenAI and Anthropic models are already shipping in dev workflows. In fact, most developers spend the majority of their time debugging code, not writing it. But these same powerful models still struggle with bugs that junior developers would fix in minutes. What’s going on?
Benchmarking with SWE-bench Lite: Test on 300 curated debugging tasks:
Models included: Claude 3.7 Sonnet, OpenAI o1, OpenAI o3-mini
Models don’t know how to choose and use the right debugging tool & fail to seek information.
They lack sequential decision-making data (i.e., human-style debugging steps).
Model Success Rates:
Claude 3.7 Sonnet: top performer, but solved only 48.4% of the bugs
OpenAI o1: 30.2%
OpenAI o3-mini: 22.1%
The Real Problem: AI Doesn’t Think Like a Developer
Today’s models like Claude or ChatGPT are good at guessing, not investigating.
These models don’t have step-by-step reasoning data: no sequences of “set breakpoint → inspect variable → retry”.
=> Idea: train a special info-seeking model that actively digs for the answers.
Debug-Gym: A New Training Environment for Debugging Agents:
Debug-Gym is an open-source environment where AI agents are given sandboxed Docker containers for safety and realistic execution.
It will interact with full repositories, real software maintenance and bug fixing, not just isolated code snippets.
All tools and actions are text-based and LLM-compatible.
Why it matters: Everyone’s hyped about AI coding models. But if it can’t fix what it writes, we’re stuck babysitting bots forever. So what we truly need is curious models that explore, test, fail, and learn like we do. Debug-Gym feels like the start of that shift. A quiet, technical release? Maybe. But this could be the thing that takes AI dev tools from “cute helper” to “true teammate”.
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TODAY IN AI
AI HIGHLIGHTS
🎓 SuperGrok - Grok 3 Premium - is now Free for students but with time and eligibility limits. But most non-U.S. students can't access it yet and have to wait.
🧠 OpenAI quietly rolled out a MAJOR memory update for ChatGPT after Google Cloud Next 25 steal all spotlights. It recalls multiple interactions. No more “storyteller with no memory” model.
🎨 Canva’s Visual Suite 2.0 is going all-in on AI vibe designing to replace Microsoft Teams, Excel, Adobe & Notion databases with its biggest visual and functional redesign in 13 years.
🔥 OpenAI gets ready to launch a collection of new models including: GPT 4.1, smaller GPT 4.1 mini &nano versions, o3 reasoning model, o4 mini and o4 mini high as soon as next week.
😨 Meta insiders fear FAIR AI research lab is “dying a slow death” when it was failing to keep pace with DeepSeek. Meta prefers to call it “a new beginning” focused on "Advanced Machine Intelligence".
🤖 Amazon builds its own custom & much cheaper AI chip - Trainium for 1,000 gen AI applications - criticizes Nvidia’s dominance in GPU supply. CEO Jassy’s message: Adapt or fall behind.
💰 AI Daily Fundraising: AI networking chip startup nEye Systems raises $58 million, led by Alphabet's CapitalG fund. Their optical chips use light, not electricity, to speed up and power AI data centers more efficiently.
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NEW EMPOWERED AI TOOLS
🤖 Kairos learns by watching you work once, then automates it forever. Early access is limited.
🧠 Writer’s “AI HQ” creates autonomous AI agents with 100+ pre-built agents.
🕵️ Sherlock AI agent detects AI-assisted cheating during remote interviews.
💻 Helix AI Coding Agent automated generates, runs and debugs code.
🔐 GitHub's official MCP server lets AI agents securely call GitHub APIs locally.
AI QUICK HITS
📊 OpenAI’s open-source benchmark BrowseComp of 1,266 tasks for testing any browsing-based AI agents.
⚠️ AkiraBot AI bot bypasses CAPTCHAs, spams websites at scale, targeted more than 400,000 websites and spammed at least 80,000 websites.
🛑 YouTube and OpenAI back NO FAKES Act to fight AI deepfakes being misused.
🚀 OpenAI has launched the Pioneers Program to help build domain-specific AI solutions.
🎮 Gemini 2.5 successfully created a playable game from complex report.
AI CHART
AI in 2025 feels different. It’s not just about chatbots answering questions anymore. This year, we’re finally seeing AI get real work done - full workflows, real tasks, actual business impact.
The latest Forbes AI 50 list confirms it: the action isn’t just in OpenAI or Anthropic’s big models. It’s in the tools built on top of them - the ones solving real problems on the ground.
Here’s what’s happening:
– Legal AI startup Harvey doesn’t just write memos. It reviews contracts, drafts documents, analyzes cases, and even handles parts of negotiation - all the grunt work junior lawyers used to do.
– Sierra is changing customer support by running it end-to-end. Cursor lets you build software features in plain English - it’s way beyond code autocomplete.
– Robotics is heating up too. Figure AI is building 12,000 humanoid robots a year. Skild AI is going for a different play - instead of building bots, they’re building a brain (Skild Brain) that any robot can use.
– On the consumer side, we’re still mostly stuck with chat interfaces. But tools like Claude Code are starting to change that - making AI useful even if you don’t code.
So yeah, 2025 is the year AI agents stopped just talking - and started doing.
And 2026? That might be the year AI becomes your actual assistant.
AI JOBS
Upwork: Automation & AI Integration Specialist (Zapier, Slack,…)
Mastercard: Senior Counsel, Global Privacy, AI & Data Responsibility
Gartner: AI Innovation Thought Leader for Scale and Growth (Senior Director/Analyst - Remote US)
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