This month, “hello world” said “hello world!” The term was coined in a seminal programming book published in 1978: “C Programming Language,” written by Brian Kernighan and Dennis Ritchie: https://
go.aws/37TmOZq
@mit_csail
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Hello World: 50 Years of Programming History
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AI Agent Index: 1350 Data Fields on 30 State-of-the-Art Systems
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The AI Agent Index collected 1350 fields of information on 30 state-of-the-art systems. Check out the website for more findings & data: https://
bit.ly/4cDR0wl For questions or other inquiries, contact @StephenLCasper (scasper@mit.edu) & @LeonStaufer (lets2@cam.ac.uk). -
Foundation Model Concentration: AI Agent Ecosystem Risks
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Another core issue is the concentration of power. Almost all agents depend on 3 foundation model families (GPT, Claude, Gemini), creating potential concentrated points of failure across the ecosystem. There are also no established standards for how agents should behave on the
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US and China taking different approaches to agent development
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Beyond these insights, researchers found that developers in different countries (mainly the US & China) are taking markedly different approaches to agent development.
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MIT Graduate Shares Complete AI Learning Roadmap in 17 Minutes
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MIT grad gives full roadmap to learning AI in just 17 minutes: https://
bit.ly/49Dk8Rf -
Ray Kurzweil Birthday: Pioneer in Speech Recognition and Singularity
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Happy birthday to Ray Kurzweil '70, an innovator in speech & text recognition. He's also a leading proponent of “the singularity.” Photo v/The Academy of Achievement
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MIT CSAIL Explores Humanoid Robot Capabilities and Implementation Challenges
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@voxdotcom recently visited MIT CSAIL to see the current capabilities of the lab's robots. Daniela Rus, CSAIL Director & MIT Prof., also discussed the current challenges w/implementing humanoids in settings like factories & homes: "If we’re looking for robots that will work side
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MIT Backtracking Method Improves AI Agent Debugging Efficiency
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AI agents can be very effective when they use LLMs, but coding agents to work backwards to fix mistakes is time-consuming. MIT method executes AI agent programs by backtracking & making multiple attempts, helping coders work w/these systems efficiently: https://
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Deep Learning Interview Questions: Complete Guide to Key AI Topics
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Deep Learning job interview questions, fully solved & covering a wide range of key AI topics: https://
bit.ly/4bv6FL9 credit: @papers_daily -
Hardware Fails Eventually, Software Eventually Works
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“Hardware eventually fails. Software eventually works.” — Michael Hartung