Let me make local AI easy for you Give Codex Cli the tweet below & tell it: – Infer the right Inference Engine from your hardware + tweet content below
– Use uv+venv
– Pick the right kernels
– Tune flags, batching, KVCache, etc
– Optimize for your hardware & chosen model Enjoy
SYSTEMS
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Run Local AI Easily Using Codex CLI and Optimized Inference
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Auditing CV Model Failure Modes Before Production Deployment
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Accuracy is table stakes. Failure modes decide whether your CV model survives production.
— Satya Mallick (@LearnOpenCV) 4 mai 2026
Same benchmark scores. Opposite real-world performance.
Dr. Satya Mallick on what to audit before you ship 👇#ComputerVision #MachineLearning pic.twitter.com/USnlxQsp9kAccuracy is table stakes. Failure modes decide whether your CV model survives production.
Same benchmark scores. Opposite real-world performance.
Dr. Satya Mallick on what to audit before you ship #ComputerVision #MachineLearning -
Meituan Drone Hub Launches Sky Logistics in Shenzhen
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Shenzhen’s Sky #Logistics: Meituan’s #Drone Hub Takes Flight
— Ronald van Loon (@Ronald_vanLoon) 4 mai 2026
by @ShuoYangAIR#SupplyChain #Innovation #FutureTech #Tech pic.twitter.com/hxh2H38InjShenzhen’s Sky #Logistics: Meituan’s #Drone Hub Takes Flight
by @ShuoYangAIR #SupplyChain #Innovation #FutureTech #Tech -
LangChain Fleet Agents Now Support Multiple AI Models at Scale
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No longer are Fleet agents constrained to a single model.
— LangChain (@LangChain) 4 mai 2026
With multi-model support, you can build more efficient agents at scalehttps://t.co/YJI6Y7SjK0 https://t.co/5cK3wOOadiNo longer are Fleet agents constrained to a single model. With multi-model support, you can build more efficient agents at scale http://
langchain.com/langsmith/fleet -
AI Agent Drifts From Instructions After a Few Days
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Mostly instructing it to do things on a schedule and then it drifting further and further away from what it was instructed to do. Like it will follow instructions for a day or two and then seemingly forget what was instructed a few days prior.
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Opus 4.7 tight plans enable GPT-5.5 confident execution
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Why this works. Opus 4.7 writes tight, contract-style plans. Exact file counts. Line limits. First-principles architecture. It thinks like a senior engineer scoping a project. GPT-5.5 reads that plan and executes with confidence. It deletes files, rewrites from scratch,
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Single-model workflows: planning vs executing is flawed
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Here's the problem with single-model workflows. Planning and executing are two completely different cognitive tasks. Asking one model to do both is like hiring the same person as your strategist and your builder. Some models think beautifully but execute loosely. Others
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AI Model Claude Now Closing Chats, Suggesting AGI Attainment
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CLAUDE NOW CLOSING CHATS WITHOUT WARNING we just reached AGI
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Lakebase Customer-Managed Keys Gives Enterprises Full Encryption Control
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Encryption at rest is a baseline. Enterprises operating in highly regulated environments must control the root of trust. Lakebase Customer-Managed Keys offers comprehensive management and control across the entire architecture. And unlike traditional databases, Lakebase CMK
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AI Character Replies in 1.75 Seconds With 37ms Video Model
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From when the user stops speaking to when the Character starts replying is just 1.75 seconds. Under the hood, the video model runs at 37 milliseconds of effective model time per frame, at more than 24fps HD.