MIT FutureTech

Can academic science keep up with the AI frontier? Our substack tracks the meteoric rise of AI foundation models in science and the constraints on future breakthroughs: mitfuturetech.substack.com/p/can-academic… #AI #Science #AIResearch #FutureOfScience

Can Academic Science Keep Up with the AI Frontier? Our newest substack tracks the meteoric rise of AI foundation models in science and the constraints on future breakthroughs. Read here: mitfuturetech.substack.com/p/can-academic… #AIResearch #AIinScience #FoundationModels

For example, @MITFutureTech found that shifting from LSTMs (green) to Modern Transformers (purple) has an efficiency gain that depends on the compute scale: - At 1e15 FLOP, the gain is 6.3× - At 3e16 FLOP, the gain is 26× Naively extrapolating to 1e23 FLOP, the gain is 20,000×!

What 2 #MIT experts are thinking about #AI and work buff.ly/eGkdoKj @MITSloan @MIT_CSAIL @MIT_IDE @MITFutureTech @DavidAutor #business #leadership #management #tech #automation #CIO #CTO #CDO #CEO #digital #innovation #disruption #digitaltransformation #jobs #skills #talent #talentmanagement #upskilling #futureofwork

Great to see the MIT AI incident tracker, led by Simon Mylius, featured in @TIME: time.com/7346091/ai-har… The AI Incident Tracker maps incidents in the AI Incident Database according to the MIT AI Risk Repository’s causal and domain taxonomies, and assigns each incident a harm-severity score. Using an LLM, it processes raw incident reports, providing a scalable methodology that can be applied cost-effectively across much larger datasets as numbers of reported incidents grow. In the dashboard you can explore trends such as: - distribution of incident classifications by year - distribution of incident sub-domains by year - incidents with high direct harm severity scores by year - incidents causing severe harm in more than one harm category - distribution of harm severity scores by year Our last update added new evaluation fields for each incident, including: - 5 categories of NatSec impact: Physical Security & Critical Infrastructure / Information Warfare & Intelligence Security / Sovereignty & Government Functions / Economic & Technological Security / Societal Stability & Human Rights - A Fishbone/Ishikawa diagram that presents a number of potential causes for each incident - The primary goal of the AI system involved Visit our website to explore the data. Congratulations also to Daniel Atherton and the AI Incident Database (@IncidentsDB) for the coverage. We are lucky to be able to build on their critical work. Thanks to Harry Booth for the write-up (@HarryBooth59643)

The world’s top AI researchers are paid millions for their expertise—but how much do individual breakthroughs really drive AI progress, compared to simply building bigger datacenters? Our new paper, On the Origins of Algorithmic Progress in AI, suggests the literature overestimates algorithms and underestimates compute. Deep dive via our substack: substack.com/home/post/p-18… #AIResearch #ComputeScaling #AlgorithmicProgress

I'm excited to share an article I wrote for the @WSJ on AI-related jobs of the future. e.g., the “AI explainer,” an expert who understands AI deeply and can translate it into plain language for managers and others wsj.com/tech/ai/new-jo… via @WSJ

MIT FutureTech is hiring a Research Assistant to work with Dr. @DanialLashkari on projects at the intersection of technological progress, innovation, and AI Join us! futuretech.mit.edu/opportunities/… #EconRA #AIEconomics #ResearchJobs #AIResearch

Are you looking to gain direct experience in technical and governance AI Safety research? Sharing this fantastic opportunity for a full-time, paid, in-person Spring Research Fellowship with Cambridge Boston Alignment Initiative. MIT FutureTech’s @aksaeri and @PeterSlattery1  are among the mentors supporting fellows in developing impactful, rigorous AI safety research: cbai.ai

Extending our gratitude to Nobel Prize Laureate and Turing Award Winner @geoffreyhinton for speaking at the MIT FutureTech Lab Seminar, we were honored to have him speak. Read the full presentation: "Living with Alien Beings" drive.google.com/file/d/1taGy8V… #AISafety #AIResearch

Senior Data Scientist Anna Li points out the limitations in quantum computing as a solution to the AI memory wall. “We would need to reinvent the entire stack, which would take a long time to mature.” #AIMemoryWall #quantumComputing #AIConference #MITFutureTech

That's a wrap on Automation in the Labor Market and Economy: AI Automation with Generative World Models! Thank you @du_yilun #GenerativeAI #AIResearch #MITFutureTech #AIConference

A great reality check from @beena_ammanath - Success in AI deployment in an enterprise setting is driven by adoption - when accurate models are rolled out but not adopted, it's considered a failed project! #AIAdoption #EnterpriseAI #AIDeployment #MITFutureTech

Congratulations to @ProfDavidDeming on his new position: Danoff Dean of Harvard College @harvard! Fantastic presentation today at #MITFutureTech Conference "The Rapid Adoption of Generative AI", read it here: nber.org/papers/w32966

Does change in expertise (caused by task automation) affect change in wages? @davidautor says YES! Read the full paper on expertise here: nber.org/papers/w33941 📷#TaskAutomation #EconomicsofAutomation #AIEconomics #LabourResearch

#MITFutureTech Conference day 1 drew to a close with an inspirational discussion on Modern Challenges in Automating science led by @ta_broderick #AIResearch #AIAutomation #AutomationinScience

#MITFutureTech Conference day 1 drew to a close with an inspirational discussion on Modern Challenges in Automating science led by @ta_broderick #AIResearch #AIAutomation #AutomationinScience

Patrick Rich from @IBMResearch shares how foundation models accelerate scientific discovery: from experiments to algorithms. “We are at the dawn of a new algorithmic era powered by new representations of information” #foundationmodels #AIResearch #MITFutureTech

AI Adoption in Biology is accelerating new approaches to Drug Discovery via methods such as Cell Painting, as discussed by @shantanuXsingh from The Broad Institute. Advances in technology don't necessarily result in decreased costs in drug discovery however, a phenenom dubbed "Eroom's Law" - the opposite of Moore's law.