Ford Fined $165M for Slow Recall of Faulty Rearview Cameras
Ford agrees to pay $165M penalty for slow recall of vehicles with faulty rearview cameras, second-largest fine in NHTSA history.
Alexis Rowe
Cognition, the startup behind the popular AI programming tool Devin, has introduced a new low-cost plan to incentivize sign-ups and expand its user base. The move comes weeks after the company reportedly raised hundreds of millions of dollars in fresh capital, suggesting a renewed focus on growth and adoption.
Devin, which launched in general availability for teams last year, quickly gained attention for its ability to perform certain software development tasks autonomously. However, it soon became apparent that the tool struggled with more complex coding work. Despite these limitations, Devin garnered praise from AI founders, including Perplexity CEO Aravind Srinivas, and significantly raised Cognition's profile.
The new entry-level plan, priced at $20, transitions to a pay-as-you-go model, allowing users to access Devin's capabilities without committing to the previous $500-per-month subscription. While this may seem like a more affordable option, the pay-as-you-go plan could end up being quite costly, depending on how one uses Devin. Cognition's computing credits, known as ACUs, cost $2.25 on the $20 plan, and 9 ACUs only provide around 2.25 hours of active Devin work.
According to Cognition, Devin 2.0, the latest version of the tool, has undergone significant improvements since its initial release. Devin can now help generate plans for coding projects, answer questions about code with citations, and create "wikis" for code with documentation, similar to GitHub's Copilot tool. Silas Alberti, a member of Devin's development team, claims that Devin now "gets twice as much work done as before."
However, these claims should be taken with a grain of salt. Studies have found that even the best code-generating AI tools today tend to introduce security vulnerabilities and bugs, due to weaknesses in areas like understanding programming logic. A recent evaluation of Devin found that it completed just three out of 20 tasks successfully, raising concerns about its reliability and effectiveness.
Despite these limitations, Cognition's move to introduce a low-cost plan may be a strategic attempt to increase adoption and gather more data to improve Devin's capabilities. As AI-powered programming tools continue to gain traction, it will be interesting to see how Devin evolves and addresses its current shortcomings. With the AI programming landscape becoming increasingly competitive, Cognition will need to demonstrate significant improvements to Devin's performance and security to maintain its position in the market.
In the broader context, the development of AI programming tools like Devin raises important questions about the future of software development and the role of human programmers. While AI can certainly augment and assist in certain tasks, it is crucial to acknowledge its limitations and potential risks. As the industry continues to explore the possibilities of AI-powered programming, it is essential to prioritize security, reliability, and transparency to ensure that these tools benefit developers and users alike.
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