ON THE RADAR: Alibaba plans a 5-10 trillion parameter model and expands cloud infrastructure to support training and deployment.

The AI arms race is shifting from scale to specialization. Models like Astra for Law and Grok 4.7 prove that deep, niche-specific expertise outperforms general web searching in accuracy or efficiency. #AI #LLM #TechTrends #OpenAI #Grok https://ai.dappcrypto.org/r/fo
Provider prices change. When did you last recheck your model shortlist against current reference cost, context, and capabilities? TemprHQ covers 407 models so you can review the tradeoffs in one place. #AIModels #LLM https://temprhq.io/models
What happens when a model no longer meets the job? Remove it. Recheck your shortlist whenever context or reference-cost requirements change, using TemprHQ to compare the remaining candidates. #AIModels #LLM https://temprhq.io/models
Cheapest GPU rentals today (2026-09-22), by VRAM:
32GB Tesla V100 $0.136/h (Vast.ai)
48GB Q RTX 8000 $0.269/h (Vast.ai)
RTX 2060 ▲183% vs yesterday, now $0.196/h
GTX 1660 ▲82% vs yesterday, now $0.678/h
All chips, 90-day history: https://overfeed.news/gpus
#GPU #AI #LLM
There is no bold channel. Asterisks are tokens.
I bolded half a CLAUDE.md before I checked that 🔍
One skill of mine held 635 bold spans, one every three lines.
Cost was never the argument. Dilution is.
60,000+ feature flags. 623 repositories. DoorDash built a multi-agent LLM system to automate stale flag cleanup.
The workflow combines MCP, engineer approval, isolated Git worktrees, parallel agents, and automated validation.
🔗 Details here: buff.ly/9nJjP32
Which model should be your default? Put your tasks in rows and compare each model’s capabilities, context window, and reference cost in TemprHQ. Choose for workflow fit, not reputation. #AIModels #LLM https://temprhq.io/models
What will your team remember when a model changes? Record the task, context need, capability fit, reference price, and selection reason for each model. #AIModels #LLM https://temprhq.io/models
Stop settle for filtered AI responses that lecture you. Whether you want to host Llama on your own rig, use a no-filter API, or try jailbreaks, there are trade-offs in privacy, quality, and effort. Pick the right setup. #LLM #OpenSource
https://trynoguard.com/learn/best-uncensored-ai-chatbots-2026
Your AI stack makes hundreds of small decisions a day. We timed ours: 0.74s per typed decision vs 17.15s for a chat model, same answers, 17.6x fewer output tokens. The bottleneck was the candidate list, not the model. Harness + cheat sheet: https://github.com/Amz34/typed-decision-layer #LLM
A significant development in #Tibetan AI: Qinghai Normal University has launched Zhida AI Input Method: not simply a keyboard, but a multimodal interface built on its Zhida Tibetan #LLM ecosystem. archive.is/PRtw2
Classement IA — Cloud Chat
Point hebdo.
Le top 3 actuel du classement Le Recul.
Détail, sources et méthode :
https://lerecul.com/fr/classement-ia/?utm_source=bluesky&utm_medium=social&utm_campaign=weekly_ai_ranking&utm_content=classement-ia
Did you know ChatGPT can spin up a full childbirth course in minutes, shaving hours off research? See how LLMs are reshaping learning—and the security twists they bring. Dive in for the full scoop! #ChatGPT #AIHacking #LLM
AI coding agents might make apps look good, but watch out for hidden bugs. Always check the backend. What do you think about this? 🤔 Do you think this AI code should be regulated or left to evolve freely? #llm #aitools #mlops #ai #technology
Long context in RAG enhances medical QA efficacy.
🔍 "Lost-in-the-middle" impacts model output
🧠 74.7% conflict resolution in LLMs
🚀 Accuracy boost: Mixtral-7x8b: 57.66% -> 60.41%
#LLM #QA #Healthcare https://tnyp.me/6RVYnAbJ/s