The momentum is there. Top 3 out of 4 Productivity Apps in the US App Store are AIs. 2 Google, 0.5 Microsoft. Perplexity is the only little tech app.
SOFTWARE
-
ERB Syntax and Reactive Components Implementation Questions
By
–
There’s no code samples. Is it “just” erb syntax until the reactive part comez?
-
Adobe Premiere Pro Beta Launches Object Masking Feature
By
–
La version bêta d’Adobe Premiere Pro a lancé le masquage d’objets.
— VISION IA (@vision_ia) 5 septembre 2025
Vous pouvez isoler des objets dans votre scène, y compris des personnages en mouvement, pour les masquer. pic.twitter.com/pShZKJcw1lLa version bêta d’Adobe Premiere Pro a lancé le masquage d’objets. Vous pouvez isoler des objets dans votre scène, y compris des personnages en mouvement, pour les masquer.
-
Edge SLMs: Privacy, Speed, and Cost – An Underrated Advantage
By
–
Running SLMs at the edge is such an underrated move…..privacy, speed, and cost all in one.
-

Moonshot updates Kimi K2 with 256k context
By
–

Moonshot updated Kimi K2 with a new “K2-0905” release that includes better coding performance and context length extension to 256k!
-

Perplexity iOS App Update Brings Smooth Streamed Answers
By
–
Another major Perplexity iOS app update. Team cooked. Answers are now streamed smooth as butter. Tables, markdown, intermediate steps. Update and enjoy!
-

Manufacturers Transform Unstructured Data Into AI Ready Insights
By
–
AI needs clean, structured data to deliver real results. Join @adlibsoftware
’s Keynote at AI Frontiers 2025 to see how global manufacturers are turning unstructured docs into AI-ready insights, September 10, 8 AM EDT. Register here: https://
buff.ly/MDDoMx0 #sponsored #adlib_iiot -
Extended conversation length feature improvement released
By
–
Awesome. It was much needed for longer chats.
-
MoE Training: Theory vs GPU Reality – Optimization Challenges
By
–
MoE 101 – Episode 4: Theoretical: 60% fewer FLOPs. Reality: 7x slow down
— Cerebras (@cerebras) 4 septembre 2025
You followed all the tips from our last video. Your MoE model finally trains…
Then you try to scale it on GPUs…and… memory issues ❌, underused experts ❌, unpredictable compute bottlenecks ❌.
From… pic.twitter.com/b812dujd6SMoE 101 – Episode 4: Theoretical: 60% fewer FLOPs. Reality: 7x slow down You followed all the tips from our last video. Your MoE model finally trains… Then you try to scale it on GPUs…and… memory issues , underused experts , unpredictable compute bottlenecks . From
-

MCP Protocol Adoption and Product Terminology Evolution
By
–
Ah, as it turns out, we're calling them connectors too in our product. My gut feel is that as the protocol gets adopted and matures, we will gradually stop referring to it. For example, we don't say "http sites", we just call them "websites". MCP is kinda of technical term for