Machines Of Loving Grace
βI dealt with you know I wrote this essay Machines of Loving Grace a and one of the key questions it asked I mean it was focused on what are all the positive applications of AIβ
What the smart people are recommending. 7861 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
βI dealt with you know I wrote this essay Machines of Loving Grace a and one of the key questions it asked I mean it was focused on what are all the positive applications of AIβ
βAiden is one of the co-authors of a of a paper called attention is all you needβ
βAnd of course I I reference the bitter lesson all the time as one of the deep fundamental insights to the kind of broader effort of everything that goes on hereβ
βthis time we talk a lot about his paper titled on the measure of intelligence that discusses how we might define and measure general intelligence in our computing machineryβ
βThe Adolescence of Technology _Blog post by Dario Amodei_ https://darioamodei.com/essay/the-adolescence-of-technologyβ
βYou and a bunch of co-authors wrote um a blog post titled AI 2027, which is a very compelling read, and we're going to cover some of it, but I'm sure there's there are details there that we're not goiβ¦β
βJim is interested in building generally capable autonomous agents and he recently published mind Dojo a massively multiscale benchmarking seite built on Minecraft which was an outstanding paper n we'rβ¦β
β# AI for Systems: Using LLMs to Optimize Database Query Executionβ
βThe Axios supply chain attack used individually targeted social engineeringβ
β_Blog post by LangChain_β
βAgent Evaluation Readiness Checklistβ
βI started reading around whether anyone had done it there was this seminal paper in 2012 called on the naturalness of softwareβ
βTHERE'S A WHOLE BLOG POST THAT YOUR VIEWERS CAN READ IF THEY WANT MORE DETAILS.β
βdownload the CFO's guide to AI and machine learning at netswuite.com/cognitive.β
βWe propose GMM-Anchored JEPA...Code is made available at https://github.com/gioannides/clustering-anchored-jepa.β
βWe provide theoretical justification and experiments on video-based world models, where our resulting planner outperforms existing planning algorithms like the cross-entropy method (CEM) and vanilla gβ¦β
βA closer look at the MET-PREVENT trial and what its null results reveal about aging interventions and trial design. Full article linked below.β
βWe introduce Rectified Distribution Matching Regularization (RDMReg), a sliced two-sample distribution-matching loss that aligns representations to a Rectified Generalized Gaussian (RGG) distribution.β¦β
βThis new Nature paper (using old models) illustrates the point of my latest Substack post on AI interfaces. AI did a good job diagnosing medical issues, but when users had to interact with chatbots thβ¦β
βMy post: https://www.oneusefulthing.org/p/claude-dispatch-and-the-power-ofβ
βFinally, we urge all vulnerable cryptocurrency communities to join the ongoing migration to PQC without delay.β
βIf you're familiar with [neural scaling laws](https://arxiv.org/abs/2001.08361), you can consider this challenge a form of L(N) optimization, where the objective is to optimize the lowest loss given aβ¦β
βI think the thing that captivated me I don't know if you felt this way it was the only white paper that I read end to end where I thought this is one of the most elegantly written pieces of non-techniβ¦β
βI just would really recommend the essay that Jack mentioned earlier by Dario um Machines of loveing Grace um I think it is probably the best positive Vision out there there's really not much literaturβ¦β
βCohere advances sovereign AI capabilities with NVIDIAβ
β_Blog post by LangChain_β
βHow we built LangChainβs GTM Agent _Blog post by LangChain_β
βGood news: AI Will Eat Application Softwareβ
βhttps://stratechery.com/2026/an-interview-with-nvidia-ceo-jensen-huang-about-accelerated-computing/β
βDecoupled DiLoCo explores how to continuously train AI models without ever stopping due to failures. https://t.co/1H6DyKrB_k42SBaMβ
βIf we go all the way back to 2016 you know before I even worked at openai when I was at Google I wrote a paper called with some colleagues some of whom are now anthropic co-founders concrete problems β¦β
βWe present Marconi, the first system that supports efficient prefix caching with Hybrid LLMs.β
βDespite strong performance on vision-language tasks, Multimodal Large Language Models (MLLMs) struggle with mathematical problem-solving, with both open-source and state-of-the-art models falling shorβ¦β
βI came across this blog that um one of the former YC Partners Daniel gross wrote but it was like How to Build the Next Googleβ
βIn this work, we ask the question: "Do visual self-supervised approaches lag behind CLIP due to the lack of language supervision, or differences in the training data?" We study this question by trainiβ¦β
βThe Urgency of Interpretability _Blog post by Dario Amodei_β
βThis paper rethinks the key building block for conferencing infrastructures -- selective forwarding units (SFUs)... we present Scallop, an SDN-inspired SFU that decouples video-conferencing applicatioβ¦β
βGPUs, CPUs, and. . . NICs: Rethinking the Network's Role in Serving Complex AI Pipelinesβ
βIn this work, we systematically evaluate RL and control-based methods on a suite of navigation tasks...planning with a latent dynamics model proves to be a strong approach for handling suboptimal offlβ¦β
βI'm eager to speak with you specifically about this recent essay you wrote on AI and uh so you obviously many people have read this and you are a voice that many people value on this topic among otherβ¦β
βOpen Models have crossed a threshold - Blog post by LangChainβ
β# a unified theory of revolutionβ
βTo address this challenge, we present a new pre-training paradigm for time-series data called ADAPT, which can efficiently align the physical properties of data in the time-series domain, enabling mixβ¦β
βfolks grab it and kind of dive deeper into these trends ... link in the description to the New Zoo reportβ
βIt is based on [LoRA](https://arxiv.org/abs/2106.09685), a training paradigm where most weights are frozen and only 1-2% of additional weights in the form of low-rank matrix perturbations are trained.β
βso there's this one work last year that I collaborated with Stanford co-authors the paper is called metamorph so it was accepted to iar and this work is about how can we learn a policy that controls nβ¦β
βAnd I read the 1950 paper by Alan Turring where he talks about the Turing test. By the way, how many people know what the Turing test is?β
βAnd if that wasn't enough, he also co-founded Google's AI research project, Google Brain, and was one of the earliest pioneers of a new neural network architecture called Transformers. Not sure that oβ¦β
βOne story that a lot of people should know is that if you ask yourself what is the paper in all of science that has gathered the largest number of citations over the last 10 years, that paper was publβ¦β
βThis paper explores a self-supervised approach that combines internet-scale video data with a small amount of interaction data (robot trajectories), to develop models capable of understanding, predictβ¦β
βIt's fun to describe quantum teleportation in terms of particles that move both forward and backward in time. And it's more than just fun: the intuition derived from that description can guide us to nβ¦β
βThis architecture is called joint emitting predictive architecture jpa and that's what I've been kind of focusing my efforts over the last several years.β
β# Cobordism, spin structures, and profinite completionsβ
β# Aragog: Just-in-Time Model Routing for Scalable Serving of Agentic Workflowsβ
βEncouraging news. https://www.nytimes.com/2026/01/10/science/trump-science-budget-cuts-congress.htmlβ
βThere's a paper that's not too old by David Silver, Rich Sutton is a co-author um Donap and a bunch of other people whose title is um reward is enough.β
βhttps://theconversation.com/us-experiencing-largest-measles-outbreak-since-2000-5-essential-reads-on-the-risks-what-to-do-and-whats-coming-next-275164β
βPaper: https://arxiv.org/abs/2604.12946β
βMeasuring progress toward AGI: A cognitive frameworkβ
βWe critically examine the limitations of current AI models in achieving autonomous learning and propose a learning architecture inspired by human and animal cognition.β
β_Blog post by Google DeepMind_ https://deepmind.google/blog/protecting-people-from-harmful-manipulationβ
βMore on our approach to the Model Spec: https://openai.com/index/our-approach-to-the-model-spec/β
βYes: https://simonwillison.net/guides/agentic-engineering-patterns/red-green-tdd/β
βYou should read the red team report: https://red.anthropic.com/2026/mythos-preview/β
βhave you see this paper? https://llm-attacks.orgβ
βItβs Called Silicon Sampling, and Itβs Going to Ruin Public Opinion Polling https://www.nytimes.com/2026/04/06/opinion/ai-polling.htmlβ
βPaper below tested a variety of base LLMs (no TTA) on generalization-focus math problems and found that they can't reason and can't do math.β
βWe prove that, in various tasks, quantum machines can learn from exponentially fewer experiments than those required in conventional experiments.β
βIn this work, we propose a new type of architecture for quantum generative adversarial networks (entangling quantum GAN, EQ-GAN) that overcomes some limitations of previously proposed quantum GANs.β
βI was reading a paper the the Princeton swe paper um where their coding agents can now solve 12.5% of GitHub issues versus I think 3.8% um when it was just ragβ
β6 Takeaways From Trumpβs News Conference on Iran https://www.nytimes.com/2026/04/06/us/politics/trump-iran-news-conference.html?smid=tw-shareβ
βI'm going to quickly summarize, but do read this article. It's not that long and uh it's going to be an important one.β
βWe study both domain-specific expert personas and low-knowledge personas, evaluating six models on GPQA Diamond (Rein et al. 2024) and MMLU-Pro (Wang et al. 2024), graduate-level questions spanning scβ¦β
βIn the essay AI as normal technology, we called this the false summit phenomenon.β
βAnd then the last one is how does all of that come together to something that a lot of people really want to use it. And that's a combination of you know the utility of all the subplatforms essentiallβ¦β
βHow Code-Switching Explains The Worldβ
βHow to Be Cultured https://www.nytimes.com/interactive/2026/04/17/t-magazine/culture-guides-film-art-food-literature.html?smid=tw-shareβ
βI also have a weekly newsletter. So, even though I might be on a little break from the podcast, you can actually go to my weekly newsletter to get insights on what I think about the future of the creaβ¦β
βDr. Lichtenstein says the process for making these new guidelines was to dispense with politics and stick to the evidence. Well, I think there's no agenda behind these guidelines that they're evidenceβ¦β
βIf, Why, and How Founders Should Hire a βProfessionalβ CEOβ
β# The Singularity Is Not Coming _Blog post by FranΓ§ois Chollet_β
β# Productivity _Blog post by Sam Altman_β
βI encourage you to check it out. We will link it in the show notes.β
βFor more insights on the survey, check that out at the information.com.β
βyou mentioned later in this wired article that you stumbled upon the single algorithm Theory popularized by Jeff Hawkinsβ
βthe prevailing opinion was that human intelligence derived from thousands of simple agents working in concert this is what mit's Marvin Minsky called The Society of mindβ
βthere's also a recipe Pioneer by one of my friends Eric Bron and his collaborators sanit called a task-based analysis of jobs that I found to be very usefulβ
βBlog post by Naval Ravikantβ
βBlog post by Cohere https://cohere.com/blog/securing-ai-supply-chains-coheres-commitment-to-model-signingβ
βMy latest newsletter π https://briansolis.substack.com/p/why-some-ceos-know-the-next-chapterβ
βBlog post by Cohereβ
βFull debunk by @DrTechlash here: https://www.aipanic.news/p/ai-blackmail-fact-checking-a-misleadingβ
βShare this episode with friends and family and don't miss out on my newsletter wledger.substad.com for the latest updates.β
βThe Hatsugai-Kohmoto model thus emerges as a minimal, exactly solvable platform for interaction-mediated non-reciprocal many-body dynamics.β
βHow a Community Effort is Teaching AI to See Africa's Richnessβ
βWe recommend practitioners use these simple revised ResNets as baselines for future research.β
βAdding dynamic features to an aggressively cached websiteβ
β# Accelerating Mathematical and Scientific Discovery with Gemini Deep Think _Blog post by Google DeepMind_β
βHow to build AI product senseβ
β_Blog post by Mistral AI_ https://mistral.ai/news/mistral-vibe-2-0β