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The upcoming week shall have Apple's most anticipated hardware launch of the year.
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Below is my personal website which aggregates links to many of my socials as well as content and community that I curate
Chief Knowledge Officer @ Animoca Brands. Also assists in Growth Marketing
Continuing to use a tabular format to show the digest of posts on days which have had multiple posts to isolate them individually.
Yusuf Goolamabbas
Props to Ben Chevalier for pointer to the below
Nano Banana best practices from the Google team themselves.
Until now, using Replit Agent meant choosing between two paths:
Start with one of their curated app types. For example, HTML, CSS, React, ShadCN UI, built to work seamlessly with Agent.
Or go fully custom—without Agent support.
From now on, Replit Agent now works with any framework!
Big news: Replit Agent now works with any framework! 
What's now possible for advance builders:
1 | Perplexity rolling out Comet to all students worldwide.
Comet is now available for all students. Should be a no brainer to switch from Chrome for the following:
- Comet Assistant - Flash Cards - Ad Block - Study Mode
We are rolling out Comet to all students worldwide.
Ask Comet to manage your schedule, order textbooks, or prepare for exams with Study Mode. 
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2 | via Chris Mendez A long-form article from his experience trying out 3 IDE’s Three Faces of AI Coding: Cursor, IntelliJ, and ChatGPTTwo weeks, three AI dev tools: Cursor the reckless junior, IntelliJ the cautious senior, and ChatGPT the strategist. Together they reveal not just code-but how I code.  |
1 | Poster: Robby Yung  |
2 | Perplexity's agentic browser Comet is coming soon to mobile and is now available for pre-orders on Android Play Store https://play.google.com/store/apps/details?id=ai.perplexity.comet Reply-by: Leeny I still think that ChatGPT 5.0 is doing a good job too 👍 |
3 | EmbeddingGemma is a 300M parameter, state-of-the-art for its size, open embedding model from Google, built from Gemma 3 (with T5Gemma initialization) and the same research and technology used to create Gemini models. EmbeddingGemma produces vector representations of text, making it well-suited for search and retrieval tasks, including classification, clustering, and semantic similarity search. This model was trained with data in 100+ spoken languages.  |
4 | TIL (Today I learned) that elements of LottieFiles uses Groq (with a Q) under the hood. Ideation and Animation at Human SpeedThe animator can try new ideas or suggest tweaks, get back the LottieFiles result, and accept or discard it, all in the matter of a couple of seconds. The back and forth can be as fast as the creator wants.  |
1 | Moonshot AI just dropped Kimi K2-0905 - 32B activated parameters and 1T total parameters; - SOTA performance in frontier knowledge, math, and coding among non-thinking models; - Meticulously optimized for agentic tasks; - Upgraded from 128K to 256K to provide better support for complex, long-running tasks; - Supports output speeds of up to 60-100 tokens per second.
Kimi K2-0905 update
- Enhanced coding capabilities, esp. front-end & tool-calling - Context length extended to 256k tokens - Improved integration with various agent scaffolds (e.g., Claude Code, Roo Code, etc)  Weights & code: huggingface.co/moonshotai/Kim… Chat with new Kimi
The Kimi team did an incredible job iterating on developer feedback with K2 0905.
- Fixed the issues: agents, functions, context - Compounded on strengths: code, style, writing Cheers to the Kimi Moonshot team! 
Kimi K2-0905 update
- Enhanced coding capabilities, esp. front-end & tool-calling - Context length extended to 256k tokens - Improved integration with various agent scaffolds (e.g., Claude Code, Roo Code, etc) Weights & code: huggingface.co/moonshotai/Kim… Chat with new Kimi
 Kimi K2-0905: Moonshot's Latest Open-Source Model is Live in Cline - Cline BlogKimi K2-0905 doubles the context window to 256k tokens and delivers some of the highest reliability tool calling we've seen in an open-source model. Built for coding agents that actually work.  |
2 | Qwen-3-Max-Preview released from Alibaba - with over 1 trillion parameters - beats their previous best model Qwen3-235B-A22B-2507. - broader knowledge, better at conversations, agentic tasks & instruction following Below is a quote from their launch X post
Big news: Introducing Qwen3-Max-Preview (Instruct) — our biggest model yet, with over 1 trillion parameters!
Now available via Qwen Chat & Alibaba Cloud API. Benchmarks show it beats our previous best, Qwen3-235B-A22B-2507. Internal tests + early user feedback confirm:  Alibaba’s Qwen team just launched its BIGGEST model yet.Qwen3-Max-Preview, a 1T+ parameter model now live in Qwen Chat and the Alibaba Cloud API. Says it beats Qwen3-235B-A22B-2507 on internal benchmarks and early trials, with stronger conversation, instruction following, 
Big news: Introducing Qwen3-Max-Preview (Instruct) — our biggest model yet, with over 1 trillion parameters!
Now available via Qwen Chat & Alibaba Cloud API. Benchmarks show it beats our previous best, Qwen3-235B-A22B-2507. Internal tests + early user feedback confirm:  |
3 | Available now to logged-in chatGPT users on the web By popular request: you can now branch conversations in ChatGPT, letting you more easily explore different directions without losing your original thread.
By popular request: you can now branch conversations in ChatGPT, letting you more easily explore different directions without losing your original thread.
Available now to logged-in users on web. 
Let us branch off from chats at specific points without losing the node we branched off from, sometimes I want to persue multiple possible branches to a conversation or sometimes I want to go on like a 1-3 side prompt conversation without it muddying the context of the original
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I welcome feedback not only on this newsletter but across all the various surfaces where I curate content
Regards, Yusuf
PS. If you haven't tried Groq and Cerebras and experienced their 'speedy gonzales/road runner' level of inference speed via their chat interface then I strongly encourage you to try it out
Don't ask questions which require websearch, ask questions which can be answered by whatever is in their training data
What you want to be seeing is 'tokens per second' which may be rendered on their respective websites as T/s
Higher accuracy in math, coding, logic, and science tasks
Stronger instruction following & reduced hallucinations
Optimized for RAG + tool calling (no “thinking” mode)
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The latest edition of my weekly newsletter This Week in All Things AI This is a weekly email digest of posts made in the preceding week of the 1150+ member 'All Things AI' Telegram group that I curate It's an alternate distribution of curation for those not on Telegram or who feel overwhelmed keeping up with lots of conversations on Telegram Have paired this @paragraph post with my @zora coin $ymgabbas CA: 0x4e24c96c0215ad8fff692504910b25470144f89b