5.5 in codex is so good for non-coding tasks. i keep assuming it won't be able to do something, but a lot of the time i am pleasantly surprised.
AI
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Codex Auto Review Reduces Approvals While Escalating High-Risk Actions
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Auto Review in Codex is a game changer!
— Vaibhav (VB) Srivastav (@reach_vb) 5 mai 2026
It keeps long-running tasks moving with fewer approvals for routine work, while escalating higher-risk actions back to me.
Try it in Codex today!! pic.twitter.com/B6KFVxjXykAuto Review in Codex is a game changer! It keeps long-running tasks moving with fewer approvals for routine work, while escalating higher-risk actions back to me. Try it in Codex today!!
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Supercharging Coding with GenAI Tools: Copilot, ChatGPT, OpenAI
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In this video, I share why Montreal is becoming one of the most exciting ecosystems for entrepreneurs today and what Europe can learn from it
#Montreal #Canada #AI #Entrepreneur @BetaMoroney @JolaBurnett @lyakovet @baski_LA @TerenceLeungSF @AkwyZ @Fabriziobustama @CurieuxExplorer -
GPT and Opus Agents Orchestrate Video and Image Generation Models
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🚨 BREAKING NEWS – Announcing Video and Image Agentic Orchestration
— Abacus.AI (@abacusai) 5 mai 2026
GPT 5.5 and Opus 4.7 agents orchestrate the best video and audio models
Combine Grok Imagine, Nano Banana Pro and SeeDance 2.0 to generate amazing videos pic.twitter.com/BTe5u4RQJsBREAKING NEWS – Announcing and Image Agentic Orchestration GPT 5.5 and Opus 4.7 agents orchestrate the best video and audio models Combine Grok Imagine, Nano Banana Pro and SeeDance 2.0 to generate amazing videos
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MIT Plant-Inspired Robot Handles Objects with Care
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This Plant-Inspired #Robot Handles Objects with Care
— Ronald van Loon (@Ronald_vanLoon) 5 mai 2026
by @MIT#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/IpDoXtRMOaThis Plant-Inspired #Robot Handles Objects with Care
by @MIT #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
Texas confirms massive blue collar talent bottleneck for AI infrastructure
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No it literally says 458,900,000 page views and 327,800,000 visitors
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Foundational American Technologies Born in Public-Private Partnerships
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Everything is automated, we work in tech so it makes no sense we can't do this all automatic
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Choose Hardware First, Then the Inference Engine Follows
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You don’t pick an Inference Engine You pick a Hardware Strategy Then the Engine follows Inference Engines Breakdown (Cheat Sheet at the bottom) > llama.cpp
runs anywhere
CPU, GPU, Mac, weird edge boxes
best when VRAM is tight and RAM is plenty
hybrid offload, GGUF, -
Mandate Self-Driving Cars Globally Due to Human Driving Incompetence
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The Kindle version of the new edition is available here:
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Deep Learning Book with TensorFlow and Keras Announced
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The Kindle version of the new edition is available here: