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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Dec 23, 2025
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Read full article about: GitHub repository offers more than 50 customizable Claude Skills

A comprehensive collection of "Claude Skills" is now available on GitHub. These skills are customizable workflows that teach Anthropic's AI assistant Claude to perform specific tasks repeatedly and in a standardized way. The collection includes more than 50 skills across nine categories: Document Processing (Word, PDF, PowerPoint), Development Tools (Playwright, AWS, Git), Data Analysis, Business and Marketing, Communication, Creative Media, Productivity, Project Management, and Security.

Users can add skills in Claude.ai through the settings, store them in Claude Code's configuration folder, or integrate them via API. Each skill consists of a folder with a SKILL.md file. The repository is under Apache 2.0 license and accepts contributions.

Since skills are essentially just a collection of prompts in a folder, getting the most out of AI means customizing these prompts to fit your needs. That said, the repository is a solid source of inspiration. And as skills seem to be becoming the standard approach, it's worth exploring the topic beyond Claude.ai.

Comment Source: Github
Jonathan Kemper
Jonathan Kemper View the LinkedIn Profile of Jonathan Kemper
Dec 23, 2025
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Read full article about: Zhipu AI challenges Western rivals with low-cost GLM-4.7

Zhipu AI has introduced GLM-4.7, a new model specialized in autonomous programming that uses "Preserved Thinking" to retain reasoning across long conversations. This capability works alongside the "Interleaved Thinking" feature introduced in GLM-4.5, which allows the system to pause and reflect before executing tasks. The model shows a significant performance jump over its predecessor, GLM-4.6, scoring 73.8 percent on the SWE-bench Verified test. Beyond writing code, Zhipu says GLM-4.7 excels at "vibe coding" - generating aesthetically pleasing websites and presentations. In a blog post, the company showcased several sites reportedly created from a single prompt. Benchmark comparisons show a tight race between GLM-4.7 and commercial Western models from providers like OpenAI and Anthropic. | Image: Zhipu AI

A table with benchmark results comparing the GLM-4.7 AI model with competitors; the model shows leading values in categories such as Reasoning, Code Agent and General Agent.
Benchmark comparisons show a tight race between GLM-4.7 and commercial Western models from providers like OpenAI and Anthropic.

The model is available through the Z.ai platform and OpenRouter, or as a local download on Hugging Face. It also integrates directly into coding workflows like Claude Code. Z.ai is positioning the release as a cost-effective alternative, claiming it costs just one-seventh as much as comparable models.

Comment Source: Zhipu AI
Jonathan Kemper
Jonathan Kemper View the LinkedIn Profile of Jonathan Kemper
Dec 23, 2025
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Read full article about: Alibaba's new Qwen models can clone voices from three seconds of audio

The Qwen team at Alibaba Cloud has released two new AI models that create or clone voices using text commands. The Qwen3-TTS-VD-Flash model lets users generate voices based on detailed descriptions, allowing them to precisely define characteristics like emotion and speaking tempo. For example, a user could request a "Male, middle-aged, booming baritone - hyper-energetic infomercial voice with rapid-fire delivery and exaggerated pitch rises, dripping with salesmanship." According to the manufacturer, the model outperforms the API for OpenAI's GPT-4o mini-tts, which launched earlier this spring.

The second release, Qwen3-TTS-VC-Flash, can copy voices from just three seconds of audio and reproduce them in ten languages. Qwen claims the model achieves a lower error rate than competitors like Elevenlabs or MiniMax. The AI is also capable of processing complex texts, imitating animal sounds, and extracting voices from recordings. Both models are accessible via the Alibaba Cloud API. You can try demos for the design model and the clone model on Hugging Face.

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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Dec 23, 2025
AI in practice
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OpenAI admits prompt injection may never be fully solved, casting doubt on the agentic AI vision

OpenAI is using automated red teaming to fight prompt injections in ChatGPT Atlas. The company compares the problem to online fraud against humans, a framing that downplays a technical flaw that could slow the rise of the agentic web.

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Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Dec 22, 2025
AI in practice
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Read full article about: Google locks in new energy reserves for its AI expansion

Google is ramping up its AI infrastructure with a major energy acquisition. Parent company Alphabet is buying clean energy developer Intersect for $4.75 billion in cash, plus assumed debt.

Alphabet is acquiring Intersect's energy and data center projects that are currently under development or construction. The company holds assets worth $15 billion. By 2028, projects with roughly 10.8 gigawatts of capacity should be online—more than twenty times the electricity output of the Hoover Dam, as Reuters reports. Intersect will continue to operate separately from Alphabet. Existing plants in Texas and California aren't part of the deal.

The deal reflects a broader trend: big tech companies are pouring money into energy assets as US power grids struggle to keep pace with soaring electricity demand from artificial intelligence. Google says it plans to double its AI capacity every six months, aiming for a thousandfold increase in output within four to five years. To hit those targets, Google is also investing in advanced reactor technology.

Comment Source: Alphabet
Matthias Bastian
Matthias Bastian View the LinkedIn Profile of Matthias Bastian
Dec 22, 2025
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Read full article about: OpenAI reportedly dramatically improved its compute profit margins

OpenAI has reportedly made major strides in improving the profitability of its AI services. The company's compute margin—the share of revenue left after paying for server costs from paying users—jumped from around 35 percent in January 2024 to roughly 70 percent by October 2025, according to internal financial data obtained by The Information. For comparison, Anthropic is expected to reach 53 percent by year's end.

OpenAI achieved these gains by cutting rental costs for computing power, optimizing its models, and launching a pricier subscription tier. Still, the company has a long road ahead before reaching profitability. CEO Sam Altman continues to plan major investments in additional computing power while pursuing further circular business arrangements.

OpenAI is reportedly working on a funding round of up to 100 billion dollars.

Comment Source: The Information
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