/2 Stanford shows Claude and GPT generate visual reasoning without image input Stanford researchers release MIRAGE, a method to test how multimodal models use images. They take GPT-5.1, Gemini-3-Pro, Claude Opus 4.5, and Gemini-2.5-Pro and remove every image from six benchmarks.
AI
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Google Research on AI Agent Traps and Alibaba’s Qwen3.6-Plus Release
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/3 Google shows how the web itself can hijack AI agents with Agent Traps Alibaba launches Qwen3.6-Plus, a hosted model built for agent workflows instead of single http://
prompts.It targets agent workflows by combining reasoning, memory, and tool execution in one system. -
Princeton Study Analyzes Energy and Scaling Costs of AI Reasoning Models
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/1 Princeton study shows reasoning models use 79× more energy per query Princeton University researchers analyze how modern AI systems scale in energy, cost, and reasoning. They estimate a next-gen model training run uses 11 billion kWh, while a single reasoning query uses 33 Wh
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Deep Learning TensorFlow Keras Build Deploy ML Models
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Deep Learning with TensorFlow and Keras — Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models (3rd Ed., 667 pages): http://
amzn.to/3gitVEJ v/ @PacktDataML —————
#DataScientist #DataScience #AI #MachineLearning #ML -
Quantitative Portfolio Management: Statistical Arbitrage Guide
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Powerful book! “Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage” Available at http://
amzn.to/3PCZiv7 -
Probability and Statistics Essentials for Data Science and Machine Learning
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Probability and Statistics Essentials for #DataScience and #MachineLearning, with 200+ examples and pictures [Kindle Edition]: http://
amzn.to/43a7tmo -
Mathematics of Machine Learning Book Review and Guide
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Get "Mathematics of Machine Learning" here: http://
amzn.to/4eN7i52 by @TivadarDanka v/ @PacktDataML —
GitHub: https://
github.com/cosmic-cortex/
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Here is my review: 𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 This -
Practical Guide to Reinforcement Learning from Human Feedback
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New release from @PacktDataML available at http://
amzn.to/3PMn1ZL A Practical Guide to Reinforcement Learning from Human Feedback (RLHF). Amazon Summary: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning -
OpenClaw v2026.4.5: Video Generation, Memory Dreams, Cheaper APIs
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explaining what OpenClaw just shipped:
— klöss (@kloss_xyz) 6 avril 2026
(most people don’t understand it yet)
→ 103 contributors on v2026.4.5
→ your agent can now generate videos mid-conversation… generate music. create content assets on command without leaving the chat… through providers like Runway,… https://t.co/q0jh2kRwNx pic.twitter.com/0NYLEw5ayTexplaining what OpenClaw just shipped: (most people don’t understand it yet) → 103 contributors on v2026.4.5 → your agent can now generate videos mid-conversation… generate music. create content assets on command without leaving the chat… through providers like Runway, xAI, Google Lyria, and MiniMax → your agent now dreams… literally… it promotes short-term memory into long-term recall in the background… light sleep, deep sleep, REM… it starts remembering what you talked about without you needing to remind it → your API bill likely just got cheaper… prompt caching got a serious overhaul… system prompts, tool ordering, image history all normalized so follow-up messages hit cache way more often… you didn’t need to change anything. it should cost less for you now → security got tightened across the board… plugin permissions locked down… browser exploits blocked earlier. if something crashes it fails safe instead of failing open… if your agent touches the internet this matters more than everything above → Telegram, WhatsApp, Discord, Slack… 20+ channels… voice notes, reconnect loops, threaded replies, disappearing DMs… the stuff that was quietly broken is now quietly fixed → control UI and docs now speak 12 new languages… Chinese, Japanese, Korean, Spanish, French, German, Portuguese, and more… OpenClaw isn’t an English only project anymore the people sleeping on OpenClaw tooling right now will regret it later get this installed today OpenClaw🦞 (@openclaw) OpenClaw 2026.4.5 🦞 🎬 Built-in video + music generation 🧠 /dreaming is now real 🔀 Structured task progress ⚡ Better prompt-cache reuse 🌍 Control UI + Docs now speak 12 more languages Anthropic cut us off. GPT-5.4 got better. We moved on. github.com/openclaw/openclaw… — https://nitter.net/openclaw/status/2040998570317197607#m
→ View original post on X — @ceobillionaire, 2026-04-06 04:34 UTC
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Anthropic SDK Tool Limitations and MCP Alternatives
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It doesn't support tools in the same flexible way the normal Anthropic SDK does, or Codex App Server now does with its dynamic tools, for instance. Your only options are the hobbled builtin ones, or MCP.