
MIT CSAIL
@MIT_CSAIL
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MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL). Media Inquiries: [email protected] Check out the latest CSAIL content ⬇️
Cambridge, MA
Joined October 2009
Can AI actually code for us? 🧵. MIT research reveals there’s a "long way to go" due to bottlenecks like assessment, codebase scale, & incorrect retrievals. The work reflects a vision to let humans focus on high-level design while routine work is automated:
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A report card grading the safety of leading AI model-makers, v/@FLI_org: Anthropic topped the list w/a C+, while DeepSeek scored lowest w/an F.
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RT @MITOCW: We are so excited to share that 6.1200J Mathematics for Computer Science is now ready and waiting for you! Watch the videos on….
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Effective interaction w/programmers is also important for coding agents, especially when user prompts can be vague. For example, a GitHub issue, astropy-#14181, requests support for a new file format. Models successfully added a read method, but they omitted a write method.
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56 years ago today, humans walked on the moon for the first time. Original @TIME report of the monumental event, from 1969:
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Hello world! This is @nishanthkumar23 and I'll be taking over @MIT_CSAIL 's X/Twitter & Instagram for 24 hours! I'm a 4th year PhD @MITEECS working on AI/ML for Robotics and Computer Agents. Drop any and all questions about research, AI, MIT, or dogs (esp. robot dogs!) below 👇
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