😀Kimi K3 has temporarily suspended new subscriptions due to overwhelming demand, leading to a strain on its GPU computing resources.

Chinese-made inference chips, such as those from Huawei, are expected to see increased demand as a result of these capacity pressures. Inference capability is now a key limiting factor for Kimi K3’s continued growth.

To manage resources, Kimi K3 will prioritize computing power for existing subscribers. The current customer base will not be affected by the pause.

The company plans to expand its capacity and reopen subscriptions in phases. Future membership will be divided into two plans: one for general use and another dedicated to coding-related workloads. This adjustment is designed to align computing resources more effectively.

@datasciencepulse 〰️

🛍️ Alibaba unveils Qwen 3.8

Alibaba has officially announced Qwen 3.8, its next flagship AI model.

The model packs a massive 2.4 trillion parameters, and Alibaba says it will be one of the world’s most capable AI models, with only Fable expected to outperform it.

A preview version, Qwen3.8-Max-Preview, is already available to test through Token Plan, Qoder, and QoderWork. A global rollout is coming soon, and Alibaba also plans to open-release the model weights.

@datasciencepulse 〰️

🤖 OpenAI Adds Full History Search to ChatGPT

OpenAI introduced a new search feature in ChatGPT that covers the entire conversation history, including files, images, and projects. It works via the sidebar with filters by content type.

The feature is available on web, iOS, and Android for all plans, including free. It launched alongside GPT-5.6 and the ChatGPT Work agent, which manages ongoing projects instead of single queries.

@datasciencepulse 〰️

Canva Pro 🤍🤍🤍🤍🤍

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🧠9 Simple AI prompt tips

@datasciencepulse 〰️

Canva Pro 🖥🖥🖥

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🤖 This prediction from 1964 about our AI future is 100% accurate.

@datasciencepulse 〰️

🤖 Anthropic is giving scientists up to $50,000 in AI credits to help solve rare diseases.

Instead of funding research with cash, Anthropic is handing researchers something they increasingly need just as much: AI compute.

The company has launched a new grant program focused on rare genetic diseases, offering selected teams up to $50,000 in Claude API credits over six months.

There are two tracks:

• Basic research for scientists, clinicians, patient organizations, and data scientists studying how rare diseases work.
• Drug development for early-stage biotech companies trying to speed up treatments.

Rare diseases are notoriously difficult to study because patient populations are tiny and data is scarce. Anthropic believes AI can help researchers uncover hidden patterns, analyze massive amounts of scientific literature, and accelerate discoveries that would otherwise take much longer.

Applications are open until August 2, and accepted teams will gain access to Claude Opus and other approved models for biological research.

I wonder, what is Anthropic's motivation for giving away this money, and what benefit do they gain from it? 🤔

Source.

@datasciencepulse 〰️

🧠 Five brain chips helped a paralyzed man move and feel again.

Keith Thomas was left paralyzed from the chest down after breaking his neck. For years, he couldn’t use his hands. Now, thanks to five tiny brain implants, he’s picking up objects again.

Two of the implants send signals from his brain directly to his arms and hands, bypassing the damaged part of his spinal cord. The other three restore his sense of touch by transmitting signals from sensors on his skin back to his brain.

But here’s the part that stunned researchers: Even after the implants were removed, some of the movement and sensation remained.

Scientists believe the treatment may have encouraged the brain and nervous system to build new pathways, suggesting these implants could eventually do more than temporarily restore function, they might actually help the body relearn how to move.

Source.

@datasciencepulse 〰️

🔍 Google gives Gemini Notebook a cloud computer

Google renamed NotebookLM to Gemini Notebook and added a personal cloud computer to each notebook. This lets it write and run code inside notes. The feature is available only to AI Ultra and Workspace subscribers.

Gemini Notebook is an AI-powered note-taking tool that integrates coding capabilities directly within notes. Internal tests show the new version outperforms the old one by 65%, and by nearly 80% in complex web searches.

@datasciencepulse 〰️

🧑‍💻 Codex skill finds first clients fast

A new skill for Codex helps find first clients by analyzing a product link or idea description. It identifies target audiences, locates people and companies with related problems, and rates product fit.

Codex then generates an HTML report with potential clients and draft messages ready to use.

@datasciencepulse 〰️