Ndea (@ndea) header
Ndea (@ndea) profile picture

A new intelligence science lab founded by @fchollet & @mikeknoop. Deep Learning-guided Program Synthesis. We're hiring.

Joined October 2024
Photo by Ndea (@ndea)Photo by Ndea (@ndea)Photo by Ndea (@ndea)Photo by Ndea (@ndea)Photo by Ndea (@ndea)Photo by Ndea (@ndea)Photo by Ndea (@ndea)Photo by Ndea (@ndea)
Watch the fireside with @fchollet + @fredsala from @SnorkelAI's Frontier Data Summit. "Measuring and advancing true general intelligence toward AGI": - Intelligence as Skill Acquisition - The Limits of Current Benchmarks - Compression as Intelligence - The Future of AGI youtube.com/live/nNHnv9wLXLU…
1
2
7
5,319
New open role: Research Platform Engineer. Help define how infrastructure works in the age of agentic research engineering. Build tools for humans and agents. Also: $10k referral bonus. Details: ndea.com/jobs/research-platf…
4
2
1
15
3,906
On the pod: @MLStreetTalk's paper "Why Creativity Cannot Be Interpolated" with @ecsquendor + Dr. Jeremy Budd. A deep dive into creativity, understanding, neuro-symbolic AI, human-AI collaboration, and how systems capable of extending their own phylogeny could become creative.
3
8
2
38
12,298
On the pod: "Constrained Adaptive Rejection Sampling" with @ucsd_cse professor @lorisdanto. Hear how symbolic AI experts have navigated the LLM era and why the future of AI code generation depends on program synthesis and formal methods.
5
12
2
52
18,477
On the pod: "Inductive Logic Programming" with Stephen Muggleton, Emeritus Professor at @imperialcollege. What does it take to invent an entirely new field of AI? From Turing to Michie to McCarthy - the journey to creating ILP, combining logic programming with machine learning.
2
6
15
3,438
Watch the full interview: youtu.be/Q2ECBtY3P7w
5
1,855
On the pod: "Recursive Program Synthesis" with @awsTO, Associate Professor at @WisconsinCS. How cold-emailing @SumitGulwani at Microsoft Research led to a novel research paper and inside Aws' vision to automatically synthesize the software stack for future quantum computers.
1
3
23
4,364
Watch the full interview: youtu.be/y9Op7ivdaz4
1
1
3
2,738
On the pod: our most-requested guest! @ellisk_kellis from @Cornell shares the origins of his influential neurosymbolic paper "DreamCoder". Plus: program synthesis, wake-sleep library learning, world models, running an AI research lab, and more.
3
6
3
59
27,688
"We are trying to build a new branch of machine learning. An alternative to Deep Learning itself...building something that we call Symbolic Descent." @fchollet joins the @ycombinator Lightcone podcast to share about our research at Ndea and the launch of ARC-AGI-3.
16
36
10
305
65,320
AI researcher @pidgeyusedgust of @ProseMsft joins us on the pod to discuss his favorite paper, "Semantic Programming by Example with Pre-trained Models" - a neurosymbolic framework where Flash Fill meets GPT-3. Symbolic for structure (syntactic), LLMs for meaning (semantic).
2
2
1
14
6,006
Watch the full interview: youtu.be/UyWSvLgQMDE
2
4,590
New open role: Technical Staff - Search Guidance Accelerate science & innovation. Join our small, talent-dense, globally remote team. Apply your RL/DL search expertise to the most advanced program synthesis system. Also: $10k referral bonus Details: ndea.com/jobs/search-guidanc…
3
3
2
21
15,992
In the past 8 episodes of the Abstract Synthesis podcast, we've covered grammar filtering, temporal synthesis, inductive logic programming, vision-language programs, and symbolic world models. This week, we step back to reflect on 3 emergent themes.
2
1
17
3,990
Watch the mini-recap episode: youtu.be/t_RgBe2CVms Subscribe + share your feedback!
2
3,530
"...simply looking at a problem differently can greatly improve learning performance." New pod: Ndea researcher & ILP expert @CelineHocquette on "Relational Decomposition for Program Synthesis" - making symbolic learning systems more efficient without domain-specific knowledge.
1
3
1
14
3,537
On the pod: @topwasu from @ellisk_kellis' lab at @Cornell discusses his paper PoE-World. We explore how symbolic world models can achieve strong generalization and sample efficiency by composing many small causal programs instead of learning a single monolithic model.
2
2
2
20
3,206
Vision-language models (VLMs) can see well, but they struggle to reason. In this episode, @toniwuest (PhD researcher, @TUDarmstadt) explains how combining VLMs with program synthesis yields more reliable visual reasoning, with fewer tokens than chain-of-thought.
9
8
3
167
22,650
Dive into the paper, "Synthesizing Visual Concepts as Vision-Language Programs". A neuro-symbolic approach to visual concept induction that treats VLMs as perceptual tools inside symbolic programs. Watch the full episode: youtu.be/uefqvsButp8
1
10
3,389
Take a tour through the history & future of inductive logic programming (ILP) with Andrew Cropper. We discuss inductive bias, falsification-driven learning, solver-backed search, symbolic rule learning, and Popper, his influential modern ILP system.
1
4
15
2,162
Watch the full interview: youtu.be/_8UJOYi-BKQ
2
4
2,576
On the pod: Professor @RiceUniversity and one of the most influential figures in logic, verification, and theoretical computer science, @vardi discusses his paper "Symbolic LTLf Synthesis" and the history of program synthesis.
1
4
21
2,373
Watch the full interview: youtu.be/Hw-PHdgFCEQ Or listen anywhere you get your podcasts.
1
4
2,040
Pre-show convo with the great @vardi about symbolic + neural reasoning for the Abstract Synthesis pod. Subscribe to watch the full interview next week. Don't miss this one.
4
1
9
2,240
Special episode of the Abstract Synthesis podcast recorded live @ NeurIPS 2025. Program synthesis meets vision, quantum, RL, world models, and scientific discovery. Featuring @ClementBonnet16, @toniwuest, @LeopoldoSarra, @topwasu, Jumyung Park, Colin Conwell, Chris Hamblin.
1
4
1
19
2,573
Subscribe on YouTube or wherever you get your podcasts for upcoming episodes in 2026! youtu.be/yy_uqL86SSc
1
2
1,983
New Abstract Synthesis podcast episode! Kedar Namjoshi of @BellLabs discusses his extended abstract "Program Synthesis And Non-monotonic Reasoning". Explore the gap between formal specifications and human expectations in IoT control programs + multi-agent robotics systems.
1
3
1
15
2,539
Watch on YouTube: youtu.be/H5XDK6fJTtU Or anywhere else you get your podcasts.
1
3
2,252