{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3abd569af3b04335b8ad144b772e73e0\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3abd569af3b04335b8ad144b772e73e0-7b0fc5e5c58bc0b0.gif","duration":126.548,"title":"Essential Challenges in Software Engineering 🤖 - Part III (Future Directions)","description":"In this video, I highlighted the limitations of current AI models in representing images symbolically, which contrasts with the systematic nature of language. I also touched on the fascinating areas of neurosymbolic AI and AGI research. While there is still much to learn, I believe there are opportunities to enhance example-based programming beyond what tools like Excel currently offer.\n\nPart I - https://www.loom.com/share/0c9639885c244e7889bb11843aa948d6 \nPart II - https://www.loom.com/share/b28dd8b897a749b3a96dda8cf29cc33f\nPart III - https://www.loom.com/share/3abd569af3b04335b8ad144b772e73e0"}