I am very sad to say that #harvey has gone #OTRB ππ₯Ήπ’ He was just over 12 years old but time had caught up with him. π’ We had the most marvelous adventures. π₯Ή
Microsoft launched their own coding AI and it's FREE inside GitHub Copilot starting today π³
not rented from OpenAI. built by Microsoft.
it's called MAI-Code-1-Flash and it's rolling out to ALL copilot tiers right now
part of microsoft's new MAI model family:
- MAI-Code-1-Flash (coding)
- MAI-Thinking-1 (reasoning, 35B params)
- MAI-Image-2.5 (image gen)
- MAI-Transcribe-1.5 (speech, 43 languages)
who gets it:
- free plan β
- pro plan β
- pro+ plan β
- max plan β
what makes it different:
- trained inside copilot's production environment, not externally tested then shipped
- 60% fewer tokens on complex tasks vs comparable models
- 85.8% on microsoft adversarial coding benchmark
- 256K context window
full setup guide (github copilot + MAI-Code-1-Flash - free):
step 1: create a free github account
> go to https://t.co/mkeXAMP9Eb
> sign up for free
step 2: enable github copilot
> go to https://t.co/MnxnSLslnO
> select the free plan - no credit card needed
step 3: install the VS Code extension
> open VS Code
> press ctrl+shift+x (windows) or cmd+shift+x (mac)
> search "GitHub Copilot"
> install the extension by GitHub
step 4: sign in
> VS Code will show a "Sign in to GitHub" prompt
> click it, approve in the browser, return to VS Code
step 5: open copilot chat
> press ctrl+shift+i (windows) or cmd+shift+i (mac)
> the chat panel opens on the right side
step 6: select MAI-Code-1-Flash
> click the model dropdown at the bottom of the chat panel
> choose MAI-Code-1-Flash from the list
> done
already have copilot? skip straight to step 5
microsoft built this without openai data, free coding model wars are getting serious.
bookmark this and start using this free model π
Today weβre introducing Gemma 4 12B β our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop.
It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run locally with just 16GB of VRAM. Itβs open and accessible for everyone to use under a permissive Apache 2.0 license.
This is all made possible by our new, unified architecture that removes separate multimodal encoders. Hereβs how we did it π§΅
A man took his macbook to a repair shop because the battery was at 78% after just 14 months.
"Is this normal?"
The technician ran every diagnostic. Everything came back clean.
No defects. No damage. No manufacturing issue.
Then the technician turned the screen toward him and said something he wasn't expecting:
"There's a setting Apple built in 2020 specifically to prevent this. They didn't turn it on for you. Your battery is dying twice as fast as it should and they make money when it does."
He asked the obvious question: "So Apple is wearing out my own laptop on purpose?"
The technician didn't answer.
He just opened System Settings and walked him through every hidden setting that was secretly killing his MacBook.
Here's everything he showed him in the next 8 minutes (save this if you own a Mac): π§΅