There is something tangible in seeing these pieces come together, because integration turns potential into systems that can actually be tested and stressed. When different technologies start operating as one, progress feels less speculative and more grounded, so the timeline
GENERATIVE AI
-
Codex demonstrates impressive attention to detail capabilities
By
–
codex is really impressively detail oriented
-
Seedance 2.0 Text-to-Video Capabilities Astounding Eerie Mirror Reflection Effect
By
–
— Shiqi Yang (@shiqi_yang_147) 10 février 2026
🐂🍺 John (@johnAGI168) 😱😱😱 Does Seedance 2.0 model really have no limits to its capabilities? It genuinely gave me quite a shock OMG Seedance 2.0 text-to-video prompt👇 【Style】Pseudo-documentary (Vlog Style), hyper-realism, fixed camera live-action feel, natural lighting, with a touch of suspenseful comedy. 【Duration】15 seconds 【Main character】An ordinary young beautiful woman at the bathroom sink in her home. [00:00-00:06] Shot 1: Daily setup (Normalcy). Scene: In front of an ordinary bathroom mirror. Action: The main character is brushing her teeth in front of the mirror with foam all over her mouth. While brushing, she makes all sorts of silly funny faces at the mirror (raising eyebrows and wrinkling her nose). Key detail: The reflection in the mirror is completely normal at this moment, movements synchronized. [00:06-00:11] Shot 2: The Glitch appears. Action: The main character finishes brushing, lowers her head to spit out the foam, then turns around to leave the bathroom. High-energy moment (core plot twist): Just as the main character's real body has already turned away and left the mirror's frame, the "reflection" in the mirror somehow **doesn't move**! That "reflection" continues to hold the teeth-brushing posture, even smiling wickedly and raising an eyebrow at the camera, staying frozen for a full 2 seconds, before suddenly looking panicked and "fast-forwarding" to catch up with the real body's movements and disappearing. Director's note: Create an extremely realistic "network lag" feeling, as if the reflection has independent consciousness. [00:11-00:15] Shot 3: Comedy callback (The Punchline). Action: The main character, now near the door, seems to sense something wrong and suddenly turns back to look at the mirror. Result: The mirror is now completely normal again, empty, only reflecting the wall opposite. The main character looks utterly confused, scratching her head with a bewildered expression at the camera. The frame freezes on the character's confused face (comedic effect). [Translated from EN to English]
→ View original post on X — @shiqi_yang_147, 2026-02-10 03:37 UTC
-

Old-School Interpretability Methods for Large Language Models
By
–
Old-School Interpretability for LLMs https://
buff.ly/VC4ScSD
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
OpenAI Podcast Episode on Ads in ChatGPT
By
–
Listen to the OpenAI Podcast on—
Spotify https://
open.spotify.com/episode/0qR8Wg
hMlv19sF08bQDClM?si=HS9Pr2XLTMusVXGyAbWhfw
…
Apple https://
podcasts.apple.com/us/podcast/epi
sode-13-the-thinking-behind-ads-in-chatgpt/id1820330260?i=1000748954840
…
YouTube -
OpenAI’s Ad Strategy for ChatGPT Access Expansion
By
–
This week's podcast is all about ads.
— OpenAI (@OpenAI) 10 février 2026
Asad Awan, one of the leads behind ads at OpenAI, joins @AndrewMayne to share how we came up with our ad principles and how ads in ChatGPT free and Go tiers expand AI access for all. pic.twitter.com/WTptRgg0uEThis week's podcast is all about ads. Asad Awan, one of the leads behind ads at OpenAI, joins @AndrewMayne to share how we came up with our ad principles and how ads in ChatGPT free and Go tiers expand AI access for all.
-

AI Safety Lead Departure Note from Anthropic
By
–
This departing note from an AI safety lead at Anthropic is worth reading.
-
Prediction: weekly +0.1 model updates from top labs
By
–
I wouldn't be surprised if in the second half of this year we get *weekly* +0.1 model version releases. At least from the top three labs that matter.
-
AI Giants Race to Secure Real-World Data
By
–
AI giants race to scoop up elusive real-world data
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @lexfridman @sama @kaifulee @ID_AA_Carmack @karpathy @2morrowknight @ylecun -

New book: Agentic Architectural Patterns for Multi-Agent AI Systems
By
–
New release from @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at https://
amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗