Problems I'd do if I'm to do a startup again (though I probably won't any time soon because startups are hard). If you’re solving any of them, I’d love to chat.
1. Data synthesis: AI has become really good both at generating and annotating data. The challenge now is to make sure that the generated data is safe and legal, e.g. not violating any IP.
2. Evaluation: evaluation has gotten so much harder with LLMs, both because many people treat models as blackboxes (we deploy models someone else developed for us) and because outputs can be open-ended. At the same time, investment in evaluation is nowhere close to investment in model or application development. I’d be interested in arena-style evaluation, embedding evaluation, human-in-the-loop evaluation, as well as small, specialized scorers (instead of using large models like GPT-4 as judges).
3. Energy: the bottleneck to scaling AI is no longer compute but electricity. I’m interested in all energy-related problems, including both new energy sources and energy trading.
4. Any application that allows you to collect unique data that nobody has. I’ve heard concerns about building applications that seem to be “wrappers” around popular APIs. If you can get to the market early and gather sufficient data to continually improve your product, data is your moat.
5. GPU-native everything: many data science toolings, including scikit-learn, pandas, and Spark, aren’t built to run natively on GPUs. There have been efforts to make these tools more efficiently leverage GPUs, but I think there’s still a lot of room for the software layer for GPUs (and not just NVIDIA GPUs).
6. Curated Internet: bots are already ruining dating apps, search (bots are incredibly good at SEOs), and social media. I’d like to be able to set a boundary for my Internet, e.g. to limit the search results to those written by people I trust, or sources verified to be human.
🏆The winner of the 1st @UCC#AI Quest is Team 2 FSGWL who were the overall winners from 60 entries & a final shortlist of 6 teams.
Here we have @UCCCS CS&IT Head of School Prof Utz Roedig handed the 🏆 5K💰award. The top prize marked their super technical & practical solution.
🚀Let's discuss AI Implementation & Regulation while the #AIAct is in the very last miles before coming the first ever comprehensive set of rules on AI regulation.
#Brussels is warm & dry & hope the discussions would be 🔥
What's impacts of #AI#ArtificialIntelligence on societies? At #NCH in Dublin learning from Prof Stuart Russel about the challenges but also what's possible with AI. Lots of achievements are already here but what's coming up keep changing & moving fast.
We’re delighted to have received the best paper prize at the International Workshop on Democracy and AI (DemocrAI 2023) held at the @IJCAIconf conference in #Macau. Hearty congratulations to my co-authors @longttpham and @taituthanglong. #IJCAI23
Another day at #IJCAI2023 with the 2nd workshop on Democracy&AI starting with a presentation from @longttpham on “Keys factors affecting European reactions to AI in European Full&Flawed Democracies”
#Workshop Long Pham @longttpham@insight_centre explaining complex relationship between democratic practices and #AI awareness, attitude and trust in artificial intelligence, & impact of the insights on AI governance @ 2nd International Workshop on Democracy and AI
#IJCAI2023
💥 New & Emerging Threats: Cyber Security panel lays out the key challenges & practices for defence & civil infrastructures. It's crucial to protect physical & digital infrastructures for many activities while minimising risks incl emerging ones from new technologies, e.g. #AI
It feels good to be in the audience of the #consultativeforum on int'l security policy taking place in @UCC. Cant believe this is the panel on 🌎 security environment. Four distinguished lady panellists share their insights & setting the security landscape for public discussions!