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RT @Sylvia_Sparkle: 🤔Virtual Teaching Assistants (VTAs) have incredible potential, but how to evaluate them? Our EMNLP Findings paper addr…
Asst professor @MIT EECS & CSAIL (@nlp_mit). Author of https://t.co/VgyLxl0oa1 and https://t.co/ZZaSzaRaZ7 (@DSPyOSS). Prev: CS PhD @StanfordNLP. Research @Databricks.
Link to the repo, already at 551 stars (thanks guys!): https://t.co/YjjIPsxIna
Former Quant Investor, now building @lumera (formerly called Pastel Network) | My Open Source Projects: https://t.co/9qbOCDlaqM
This is a subtle point that many people miss. Scouting requires focussing on the diff. Every notification to a human comes at a cognitive cost. So it better be worth it. Monitoring != search in a loop
Co-founder & Chief Scientist @yutori_ai. Prev: Senior Director leading FAIR Embodied AI @MetaAI and Professor @GeorgiaTech.
This is so wild, even to me, and I made the project! I had an idea yesterday for a commercial companion app to my mcp agent mail open-source project yesterday. I came up with an elaborate plan in an iterative process that involved many rounds of revisions using GPT-5 Pro in the webapp, resulting in a huge 34k-token plan document. A lot of work went into designing the best architecture that would allow me to avoid running a big centralized server and being responsible for user data/code in any way (I don't want the devops headaches or the security liability, and neither do users). I set up a basic project skeleton with an AGENTS dot md file and two best-practices guides I created using Opus and GPT-5 Pro for how to make the best native iOS apps using Swift. And, of course, the big plan document. Then I reset my agent mail database to get a clean start (using the handle clear-and-reset-everything command) and spun up 7 different codex instances at once in the new folder. This is more than I've tried in the past and I wanted to see how well it would work. Then I simply used the same 5 prompts shown in the first screenshot below over and over again, keeping all 7 codices (lol) busy for many hours. Now, nearly 400 agent messages later, I have a remarkably clean, fleshed out, and complete implementation to test out and work on. And the amount of actual human attention and labor I had to expend is 90% less than what I used to need to do to get to this level. And I was already going at light speed before and using tons of agents; the difference is that I had to be the middle-man and coordinate all the work, and now they self-delegate and manage themselves! Not to mention TIME: this all happened in a few hours last night and a few hours today (with many hours of the agents grinding through all my queued up messages last night as I slept!). I really think this is the future of development.
More on this if you're interested in trying it yourself:
Can’t sleep when everyone is shipping so fast at the @HackerResidency
Built 8 startups in 12 months • Sold 3/8 startups • Building https://t.co/ns7SH9FiWh, https://t.co/1tAr7flVT2, https://t.co/pL2Vv5UTCK, https://t.co/sYr4JzzOtJ, https://t.co/HvvzdvWg5H, & a secret startup 🤫
Status: touching the gr... sand :) #granCanaria
~20 yrs in web-dev, now mostly Laravel. My Laravel courses: https://t.co/HRUAJdMRZL My Youtube channel: https://t.co/qPQAkaov2F
