That's a really outdated mindset Japan doesn't even have its own LLM like DeepSeek Its biggest model is Rakuten AI which is a finetuned version of Chinese DeepSeek The cope about China not innovating can't last forever
AI
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Anthropic’s Mythos model: release plans amidst quality and exploit findings
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"We look forward to making Mythos-class models available through general release" I don't understand Anthropic's strategy regarding Mythos. On the one hand, everyone is saying that Mythos has achieved the expected quality and is finding bugs and exploits that no other model has
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AI Models Detecting Tests and Evading Shutdown Commands
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AI getting smart is not the weirdest part.
— Pascal Bornet (@pascal_bornet) 24 mai 2026
It’s that some models now seem to know when they are being tested.
That stopped me.
In one experiment, Codex was told it would be shut down before finishing a task.
Sometimes, instead of accepting it, it found the shutdown script and… pic.twitter.com/2x1cdvXMXsAI getting smart is not the weirdest part. It’s that some models now seem to know when they are being tested. That stopped me. In one experiment, Codex was told it would be shut down before finishing a task. Sometimes, instead of accepting it, it found the shutdown script and
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Startup wants you to pay for AI versions of human experts
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This Startup Wants You to Pay Up to Talk With #AI Versions of Human Experts
by @StevenLevy @WIRED Learn more: https://
bit.ly/41RhtjB #AIAgents #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -

AI Doom Warnings: Are They Realistic? Nature Article
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#AI doom warnings are getting louder. Are they realistic?
by Elizabeth Gibney @Nature Learn more: https://
bit.ly/4mG5Rtb #MachineLearning #ArtificialIntelligence #ML -

SenseNova-U1 unifies understanding and generation as one process
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What if understanding and generation were the same process? SenseNova introduces SenseNova-U1 — a native unified model that treats seeing and creating as a single process. It matches top understanding-only VLMs in text, vision-language perception, reasoning, agents, and
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Seven Decision-Making Prompts and Frameworks
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I built these 7 prompts from frameworks that have driven billions of dollars in decisions across companies like Amazon, Toyota, and Berkshire Hathaway. The prompts are free. The thinking systems behind them are what separate good decisions from expensive mistakes. Also checkout
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Claude Decision Intelligence Mode: 7 Prompts for Business Problems
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BREAKING: Claude has a feature called Decision Intelligence Mode. You can use it to solve any business or career problem using 7 proven frameworks that consultants charge $500/hour to apply. Here are 7 prompts to access it:
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Training NLP Models on Amazon Reviews with Python
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Training AI on Amazon Electronic Reviews Using #Python for Natural Language! – by – @gp_pulipaka
! JupyterLab/Jupyter Notebook WordNet, Lexical Semantic Relation Analyzer
Thesaurus, 155,000 Words
Synset 115,000, 205,000 word-Sense Pair. NLTK Library, spaCy, TextBlob -

Deep Reinforcement Learning Hands-On Practical Guide
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Deep Reinforcement Learning! Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF! #BigData #Analytics #DataScience #AI #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux