@jarredsumner Huge congrats to the Bun team on the acquisition! We’ve been running it across 20+ projects serving 10M+ users. The speed has been incredible—well-deserved success! 🎉
When I first spoke out about the genocide, I was one of the few voices in tech, and it came at a cost.
I faced sabotage especially from the VC class: lies, leaks, threats, and blocked investments.
It was painful, but I never once regretted standing up for the children in Gaza.
Today, the tide in tech has shifted. The truth is undeniable.
If you’ve been holding back, now is the time to speak out and call out anyone supporting or celebrating genocide. It won’t cost you much—in fact, it will earn you respect, and more importantly a clear conscious. Plus, alienating those who will hate you for speaking is a feature, not a bug.
@morajabi There is some research on this which tells hand writing actives the difference regions of the brain. You can see the difference when you typing in apps you can also talk but it’s not the same with writing
@jarredsumner I made a programming team of 10 junior devs with 2 senior dev
And we teach them how to use ai properly since 9 months ago and now, they made more than 16 inside applications for a big company ( has more than 1k employees)
Apps like ATS,Salary management, accounting software, etc
Learn from real-world code! 🚀
Check out this AI analysis of the @bunjavascript codebase on Deepwiki.
https://t.co/tHLu72upJg
Ask questions, understand the architecture, and see how it's built. #Bun#TypeScript#DeveloperTools#LearnToCode
Today is the start of a new era of natively multimodal AI innovation.
Today, we’re introducing the first Llama 4 models: Llama 4 Scout and Llama 4 Maverick — our most advanced models yet and the best in their class for multimodality.
Llama 4 Scout
• 17B-active-parameter model with 16 experts.
• Industry-leading context window of 10M tokens.
• Outperforms Gemma 3, Gemini 2.0 Flash-Lite and Mistral 3.1 across a broad range of widely accepted benchmarks.
Llama 4 Maverick
• 17B-active-parameter model with 128 experts.
• Best-in-class image grounding with the ability to align user prompts with relevant visual concepts and anchor model responses to regions in the image.
• Outperforms GPT-4o and Gemini 2.0 Flash across a broad range of widely accepted benchmarks.
• Achieves comparable results to DeepSeek v3 on reasoning and coding — at half the active parameters.
• Unparalleled performance-to-cost ratio with a chat version scoring ELO of 1417 on LMArena.
These models are our best yet thanks to distillation from Llama 4 Behemoth, our most powerful model yet. Llama 4 Behemoth is still in training and is currently seeing results that outperform GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on STEM-focused benchmarks. We’re excited to share more details about it even while it’s still in flight.
Read more about the first Llama 4 models, including training and benchmarks ➡️ https://t.co/9G3QgVdCkB
Download Llama 4 ➡️ https://t.co/eVomRvEr0w