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.
TOOLS
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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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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, -
Deep Learning Book with TensorFlow and Keras Announced
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The Kindle version of the new edition is available here:
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Claude Code Deep Dive: From Typeahead to Agents
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For some very strange reason, the timestamps didn’t display in the first tweet.
— Charly Wargnier (@DataChaz) 5 mai 2026
I’ve pasted them again below along with the video.
Sorry about that!
00:00 Introduction
00:55 Claude Code Crowd Check
02:39 Origin Story of Claude Code
03:35 From Typeahead to Agents
05:07 Is… pic.twitter.com/f0yquzovkZFor some very strange reason, the timestamps didn’t display in the first tweet. I’ve pasted them again below along with the video. Sorry about that! 00:00 Introduction
00:55 Claude Code Crowd Check
02:39 Origin Story of Claude Code
03:35 From Typeahead to Agents
05:07 Is -
AI Community Development and Business Growth Discussion
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Luxury is about screens and seats for sure. After you get FSD. If I were running Tesla I'd build a vehicle for the Chinese market's rich. Augmented reality windshield and great seats. @UnpluggedTesla showed me theirs and they are so soft. Like baby skin soft. Damn rich people
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AI Hackathon for Document Analysis, Risk Flagging, and Data Protection in India
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Same point why they're so easily replaced with AI There's no business anymore for all these SaaS in future when everyone finds out and asks their AI!
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Grok AI Feature Available for Premium Subscribers
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agent observability is great. but in order to use it to power an agent improvement loop, you need to be collecting (and even generating) feedback data inside your agent observability platform