Rem Koning

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Rem Koning

Rem Koning

@orgRem

Professor @HarvardHBS. Researching how AI is changing entrepreneurship and how tech can broaden the benefits of startups and innovation. Teach https://t.co/uMtwbLUpTj

Cambridge, MA Katılım Nisan 2011
1.5K Takip Edilen6.9K Takipçiler
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Peter McCrory
Peter McCrory@PeterMcCrory·
I want to share a bit more about my vision for the Economic Research team at Anthropic in the coming years. This is a forward-looking vision. Some pieces we’ve yet to develop. Aspects of this work will surely change. Consider joining the effort. 1/6 #heading=h.j1ij8p6h22u5" target="_blank" rel="nofollow noopener">docs.google.com/document/d/1OM…
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J-PAL
J-PAL@JPAL·
AI is everywhere. But how can we know whether it's changing people's lives for the better? We’re hiring an AI Policy Lead to help evaluate and scale promising AI applications for social good. Working with researchers, governments, and tech partners, the AI Lead will help ensure that evidence on AI reaches decision-makers to inform real-world policy. 📍 Cambridge, MA Applications are being reviewed on a rolling basis. Learn more and please share: bit.ly/4rM1Ogw
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Hamsa Bastani
Hamsa Bastani@hamsabastani·
🚨🚨 Excited to share our first *positive* results on AI in education! Most AI tutor work focuses on making the chatbot better. We suggest another lever: deciding what students should practice next to improve learning. We combine an LLM tutor with reinforcement learning to personalize problem sequencing using signals from student-chatbot interactions and solution attempts. We tested this in a 5-month randomized field experiment in a Python course across 10 high schools in Taipei. All students had the same course material and the same AI tutor. The only difference was adaptive vs. fixed problem sequencing. Result: across 770 students, adaptive sequencing improved performance on an in-person final exam taken without AI assistance by 0.15 SD, with larger effects for beginners. Our evidence suggests the gains came from stronger engagement and more productive AI use.
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Alex Imas
Alex Imas@alexolegimas·
Schmidt Sciences RFP to fund field experiments and empirical studies on how AI impacts work. Up to $200K for early career scientists. Plus you get to join the awesome Schmidt Sciences community. If you're an ECR interested in AI + econ, apply! schmidtsciences.org/ai-at-work/
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J-PAL
J-PAL@JPAL·
🚨 We’re hiring an AI Policy Lead to help shape J-PAL’s growing work on AI for social good. Based in Cambridge, MA, this hybrid position will work at the intersection of cutting-edge technology, rigorous research, and real-world policymaking. You’ll help evaluate and scale promising AI tools, build partnerships with governments and tech companies, and ensure AI adoption is grounded in credible evidence. Applications are rolling. Learn more and apply (and please share): bit.ly/4rM1Ogw
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Lauren Gilbert
Lauren Gilbert@notanastronomer·
ok, I feel like there is an increasing amount of econ work on transformative AI in developed countries who are the best thinkers on AI and dev
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Ruru Hoong
Ruru Hoong@RuruHoong·
My colleagues at MIT Sloan and I are hiring predoctoral researcher(s) to work with us - link to application here! apply.interfolio.com/183054 A core goal is to help prepare you for future success in PhD programs / independent research--we'll work together to develop your skills
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Heidi L. Williams
Heidi L. Williams@heidilwilliams_·
Estimating the effects of generative AI on the productivity of scientific research is key to projecting how generative AI will affect the economy. Yet we have almost no evidence on that question. See below from Schmidt Sciences AI at Work (up to $200k, due 10-April).
Schmidt Sciences@schmidtsciences

The AI at Work program at Schmidt Sciences has launched a new request for proposals. We are funding ambitious technical research on how generative AI adoption influences the nature of work and the functioning of the labor market: schmidtsciences.smapply.io/prog/ai_at_wor…

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Anton Osika – eu/acc
Anton Osika – eu/acc@antonosika·
Most people haven't realized they can actually build the ideas stuck in their heads with Lovable. So I'm giving $10k in Lovable credits to whoever builds and showcases the most technically impressive app with Lovable in the next 7 days. Quote RT this announcement with a demo and a link to what you built, and tag Lovable to participate. See full rules in the reply.
Lovable@Lovable

Some ideas are too loud to ignore.

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Rem Koning
Rem Koning@orgRem·
@alexolegimas @Afinetheorem @AndreyFradkin @HarvardHBS is cooking! Every first year MBA student now takes an AI course, builds with agents like Lovable and Manus, and they all are engaging in awesome AI cases like my recent @GammaApp case exploring how AI changes knowledge work, organization, and long term advantage.
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Alex Imas
Alex Imas@alexolegimas·
FWIW we've been doing a lot at Booth. All faculty training days with Claude Code, a new Applied AI group with dedicated tenure lines (we're hiring!), Applied AI MBA concentration, and many faculty doing important research in the space.
Jason Bell@j_jason_bell

It seems like every b-school dean I know of is obsessed with AI and "leading in AI". Yet from what I can tell the internal adoption of AI among most b-school faculty/staff is surprisingly low, and school-selected vendors often do not have the most advanced models.

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Grant Lee
Grant Lee@thisisgrantlee·
Five years ago, @AforeVC capital backed us when Gamma was just an idea. No product. No users. Just a vision that anyone could and should be able to make beautiful presentations - in minutes, not hours. Today, Gamma is a $2B company with 70M users creating presentations, websites, and documents with AI. We're excited to bring this moment full circle in announcing the $10,000,000 Afore x Gamma Ideas to Reality Fund. Afore Capital is backing 10 teams at the earliest possible stage, pre-product, pre-revenue, sometimes pre-idea. Just extraordinary people with conviction - told through Gamma. If you're a founder ready to get your ideas into reality and build your company turbocharged by Gamma, apply today. Applications open through Mar 24, 2026. Link in comments
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Lovable
Lovable@Lovable·
To celebrate International Women's Day on March 8th, we're making Lovable completely free to use for the day, powered by @AnthropicAI. That day we're also hosting a global build day through SheBuilds, where anyone can build with us. Community-led events are happening around the world with experienced builders on hand to help you ship. Every participant also gets $100 in Claude API credits and $250 in Stripe fee credits. See more: shebuilds.lovable.app
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Anton Osika – eu/acc
Anton Osika – eu/acc@antonosika·
Lovable is one of the founding hosts of Boston's first ever Tech Week. Boston has always had the research talent and the companies, now it's getting a proper tech week to match.
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Prof Linda Gay Griffith
Prof Linda Gay Griffith@LindaGGriffith1·
We are launching an endometriosis drug development center as part of our Menstruation Science Initiative. We are hiring a full time Comms/Events manager to help us engage with the public, patients and scientific community. Rewarding work! careers.peopleclick.com/careerscp/clie…
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Sam Rodriques
Sam Rodriques@SGRodriques·
The next round of FutureHouse Postdoctoral Fellowships is due next week! Apply our AI tools to specific problems in biology and biochemistry, in collaboration with world-leading academic labs: --$125,000 annual stipend. --Access to all tools developed by FutureHouse and Edison Scientific at scale, including Kosmos and several as-of-yet unreleased agents, with under-the-hood access to them to specialize them for your workflows. --Receive dedicated software engineering support. --1 year with possible 1 year extension. Even more exceptional co-advisors than last year. Deadline for applications is February 13th, 2026. Link in next post.
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Andrew White 🐦‍⬛
Andrew White 🐦‍⬛@andrewwhite01·
We're launching a 1,900 question benchmark for measuring AI progress on scientific tasks: lab protocols, reading figures, tables, assessing clinical trials, patents, molecular cloning. This is significantly difficult for frontier models, but it took us over a year to build! Labbench2 was built for agents too, with tasks like retrieving supporting information or accessing a database to answer a scientific question. Including choosing the right database! This may be the last open-answer style benchmark we can make in science. The team has been doing these for almost 3 years and it took real work to find the right people to build questions that are genuinely challenging for LLMs, but still actually meaningful questions. During the QA phase, the human question writers were wrong more often the LLMs with a good agent harness. It took many many rounds of revision to get this done and added months to the process. I'm very happy with the output and look forward to seeing models get better at scientific tasks! The harness and benchmark are open source and a paper describing it is out now. All links to code/paper/data: lab-bench.ai
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Brian Jabarian
Brian Jabarian@brian_jabarian·
I will be joining Carnegie Mellon University (@CarnegieMellon) as a tenure-track Assistant Professor at Heinz College, with an affiliation in the School of Computer Science (@SCSatCMU) soon!!
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