Claude
"Most of those startups depend on Anthropic's model," Burton said. In Burton's view, Anthropic's Claude family of large language models is the best among the AI frontier model makers in solving the problem of automatic code generation. "Anthropic models are better than anyone at code generation."
As a result, "Code generation tools are going to struggle to keep ahead of Anthropic," he said.
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Anthropic has built its own IDE on top of Claude, called Claude Code. "Anthropic has got the foundation models. Claude Code is probably going to be good enough," said Burton.
Anthropic researchers published a new study finding that Claude can sometimes notice when concepts are artificially planted in its processing and separate internal “thoughts” from what it reads, showing limited introspective capabilities. The details: Specific concepts (like "loudness" or "bread") were implanted into Claude's processing, with the AI correctly noticing something unusual 20% of the time. When shown written text and given injected "thoughts," Claude was able to accurately repeat what it read while separately identifying the planted concept. Models adjusted internally when instructed to "think about" specific words while writing, showing some deliberate control over their processing patterns. Why it matters: This research shows AI may be developing some ability to monitor their own processing, which could make models more transparent by helping accurately explain reasoning. But it could also be a double-edged sword — with systems potentially learning to better conceal and selectively report their thoughts.
Claude’s Excel Integration Brings AI to Financial Modeling Claude is stepping into the spreadsheet arena, offering a new Excel integration that transforms financial analysis. The integration includes a sidebar for easy data manipulation and features seven financial connectors, like real-time market data. Finance pros can now create cash flow models or company analyses seamlessly. This step positions Claude as a game-changer in AI-driven financial tools, challenging established spreadsheet giants by adding an intelligent touch.
Oxford University tells students they may use generative AI tools such as ChatGPT, Claude, Bing Chat, and Google Bard to support their studies. The university states that these tools cannot replace critical thinking or the development of evidence-based arguments. The guidance instructs students to verify AI outputs for accuracy and treat them as one resource among many. It also says departments and colleges can impose additional rules on specific assignments, and students must follow directions from tutors and supervisors. The document frames AI as a supplemental aid that is acceptable only with continuous human appraisal.
AI differs from prior technologies in its unprecedented adoption speed. In the US alone, 40% of employees report using AI at work, up from 20% in 2023 two years ago.1 Such rapid adoption reflects how useful this technology already is for a wide range of applications, its deployability on existing digital infrastructure, and its ease of use—by just typing or speaking—without specialized training. Rapid improvement of frontier AI likely reinforces fast adoption along each of these dimensions.
Historically, new technologies took decades to reach widespread adoption.