Claude Closes In on ChatGPT in Paid User Growth

While ChatGPT continues to lead the market, new data shows that a growing number of consumers who pay for AI are choosing Anthropic's Claude. As reported by TechCrunch, the trend suggests that users are switching based on actual usage experience — even despite ChatGPT's overwhelming brand recognition. ChatGPT still holds a large share, but Claude is steadily making its presence felt among paying users.

Behind this shift appears to be growing appreciation for the quality of Claude's writing and coding assistance. That said, share shifts in the consumer market are fluid, and the competitive landscape could change each time vendors release new models.

DeepSeek to Double Its Entire Headcount as Expansion Accelerates

China's DeepSeek has revealed plans to at least double its entire headcount, coming right on the heels of a major funding round. According to Bloomberg, the Hangzhou-based company is gearing up for serious competition not only with domestic rivals but also with global leaders like OpenAI and Anthropic.

DeepSeek has long drawn attention for its low-cost, high-performance open models. The latest staffing expansion appears aimed at broadening its technical development while also strengthening commercial deployment and security capabilities. That said, rapid organizational growth brings management challenges of its own, so whether sheer scale translates directly into competitiveness is a key point to watch.

AI Models' "Values" Differ Sharply from Humans'

The Economist reported on an analysis finding that the values held by AI models differ significantly from those of most humans. AI alignment — consistency with human intent — has been a research topic for years, but studies have confirmed cases where the judgments and preferences models produce do not match people from any cultural or political background.

This is not merely a technical issue. As AI increasingly supports decision-making, understanding how a model's "values" shape its outputs is becoming essential for users. At the same time, "human values" themselves are diverse, and even the question of what baseline to measure alignment against remains a matter of debate.

Bill in US House Would Make Big Tech Bear AI Power Costs

A bill has been introduced in the US House of Representatives that would make Big Tech bear the electricity costs of AI data centers. As reported by The Next Web, the move comes against a backdrop of explosive AI infrastructure growth straining the power grid.

Data center power consumption is rising year after year, and in some regions it is beginning to push up electricity rates and affect grid stability. The bill's details await further deliberation, but how companies that benefit from AI shoulder infrastructure costs looks set to become a major policy debate.

AI Data Center Investment Is Triggering a "Third Wave" of Inflation

The Wall Street Journal reports that the AI data center construction boom is fueling a new wave of inflation. Demand for construction materials, electricity, and talent is surging all at once, spreading price pressure across the broader economy.

The first wave came from post-pandemic supply chain disruptions; the second from geopolitics-driven energy price spikes. Now, as a third wave, massive AI-related investment is reshaping the cost structure of the real economy. The issue could even influence central bank policy responses, underscoring how the AI industry's growth is rippling through the wider economy in unintended ways.

1,400 tok/s in the Browser: The Impact of the Tiny LFM2.5 Model

A report from Reddit's r/LocalLLaMA community is drawing attention: running LFM2.5 (230 million parameters) in the browser via WebGPU and generating 1,400 tokens per second. The remarkable speed was achieved using custom WebGPU kernels.

At 230 million parameters, the model is extremely small by today's LLM standards. But achieving this speed in a browser alone, with no special hardware, points to the potential of AI at the edge. Admittedly, the small model size limits the tasks it can handle, but it looks like a compelling option for running lightweight workloads locally at high speed.

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