RouteLLM API – Routing To The Best LLMs Based On The Prompt – an API to access all cutting-edge models
– use any single model or our intelligent router
– plug and play in Codex, Claude or any other
– Use Opus 4.8, GPT 5.5, GLM 5.1
AUTOMATION
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RouteLLM API: Intelligent routing to the best LLMs
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Machine Learning Model-Serving Patterns and Best Practices
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Machine Learning Model-Serving Patterns & Best Practices — Definitive guide to deploying, monitoring, & providing accessibility to ML models in production: http://
amzn.to/3vNwKoT via @PacktDataML ——
#AI #DeepLearning #DataScience #DataScientist #MLOps #CDO #DataEngineering -
LLMs enable trivial click-through tasks via text messages
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I think LLMs are such an interesting tool to build into very complicated apps because the first use cases people will do are the things they can already do ~trivially by clicking through screens, except now with a text message form factor.
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Self-Prompting Systems: Beyond the Prompt Itself
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"Build a system that prompts itself" really lands, writing the prompt was never the hard part, it's everything you wrap around it.
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Elon Musk questions FSD logic: slow driving, high-speed crash
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Yes, this makes no sense. FSD drives slowly through neighborhood streets and this was a high speed crash!
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Time-Lapse Verification of the Strait of Hormuz Status
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Is the Strait of Hormuz open or closed? Came up over lunch so I voice noted my agent to "boot up god's eye view and check."
— Bilawal Sidhu (@bilawalsidhu) 22 juin 2026
It sent me back this timelapse clip — refreshed the AIS data, checked oil futures, mapped 120 days of vessel transits and rendered it out.
TL;DR it's… pic.twitter.com/sTveBbkeBjIs the Strait of Hormuz open or closed? It was brought up at lunch, so I sent a voice message to my agent to 'start the God's eye view mode and check.' He sent me this time-lapse sequence — he updated the AIS data, checked the contracts at
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GLM 5.2: first open-weights model for auto-research
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GLM 5.2 keeps on winning
— Chubby♨️ (@kimmonismus) 22 juin 2026
GLM 5.2 is emerging as the first open-weights model capable of handling meaningful autoresearch tasks, from debugging setup issues to running and comparing RL training experiments across multi-node H100 clusters.
The big caveat: it lacks image… https://t.co/BQf3g6pW5OGLM 5.2 emerges as the first open-weights model capable of handling significant auto-research tasks, from debugging configuration issues to running and comparing RL training experiments on clusters.
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Live discussion on building, deploying, and managing agentic apps
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Most agentic apps never make it past the prototype stage. Join Databricks co-founder @pwendell
, OpenClaw creator @steipete
, @OpenAI
's Thibault Sottiaux, and @Stellantis
' Head of Agentic AI, Hugo Sechier for a live discussion on what it takes to build, deploy, and manage -
Fast ANPR with YOLO and LPRNet on Metis M.2
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Click-and-collect ANPR on a Metis M.2 has never been more achievable YOLO finds the plate, LPRNet reads it. LPRNet hits 9,581 FPS on M.2, so plate recognition is basically free and the card sits idle for whatever else you want to run on the same device. Pipeline layout here +
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Bland raises $100M for voice AI handling complex calls
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Most voice AI breaks down the moment a conversation gets complicated.
— AI Highlight (@AIHighlight) 22 juin 2026
Bland raised $100M to build the one that does not. Urgent calls. Long calls. High pressure calls.
That is the entire product. https://t.co/699IKJGE2lMost voice AIs collapse as soon as a conversation becomes complicated. Bland raised $100 million to create one that doesn't. Urgent calls. Long calls. High-pressure calls. That's the whole product.