π ToolsΓ1 mentions
Attio
βAsk more from your CRM. Ask ATTIO. Try ATTIO for free at attio.com slash goldhanger.β
Recommended on The Rest Is History β 2026-06-01
What the smart people are recommending. 8874 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.
βAsk more from your CRM. Ask ATTIO. Try ATTIO for free at attio.com slash goldhanger.β
βIt's the context for John Buchan's great thriller, Green Mantle. It comes out in 1916.β
βJust go to linkedin.com slash ideacast. Terms and conditions apply.β
βWe show that NequIP, an equivariant message-passing graph neural network (GNN), learns the high-dimensional, rugged potential energy landscape of the system and reproduces classical DFT energies acrosβ¦β
βThe construction is based on the quantum intractability of the Dense-Sparse Learning Parity with Noise problem introduced in [DJ25]β
βThis complements the result of [BZZ24] that showed only factoring-based hardness for the 1D case, though achieving a volume versus area entanglement difference.β
βincluding those using probabilistic mixtures [Quantum 7, 1208 (2023)], are independent of the rotation angle ΞΈ, requiring O(log 1/Ξ΄) T gates.β
βthe security of seedless extractors was proven in Quantum 9, 1654 (2025). The core idea was to use the Bell violation of the raw data, rather than its min-entropy, as the extractor promise.β
βWe also generalize a previous construction from [Bunth, MarΓ³ti, Mosonyi, ZimborΓ‘s, Lett. Math. Phys. 113:(7), 2023] to the case of multiple modes per lattice siteβ
βYeah, the new image generation model is part of GPT-4o, so it's got all of the intelligence in there. And I think that's one of the reasons it's been able to do these things that people really love.β
βgo check out my podcast, AI Chat. You can go search for that on Spotify or Apple. It's AI Chat... all of these news episodes and I'm also posting interviewsβ
βI have a school community. It's called AI Hustle... it's $19 a month... we basically help people grow and scale their business and grow and scale their career using AI tools.β
βI encourage everyone to check out that profile. It is on our website. It is our weekend big read.β
βOn May 20th, join me at HBR's annual Leadership Summit with masterclasses, interviews with the CEOs of AT&T and Mattel, and an interactive case discussion led by Harvard Business School professor Kareβ¦β
βThat is Laura Bratton, our AI reporter and author of our Applied AI newsletter here on TITV.β
βepisodes are available on theinformation.com, on our YouTube channel, or wherever you get your podcasts. Make sure to follow us on social media, on X, on Instagram, on TikTok.β
βThere's a company called Heron Power and they've taken this literally 100-year-old technology, the transformer... I can build a box that's a third the size. It's software programmable.β
βThere's a company called Pantelosa. Again, early bet. We made it many years ago. Contrarian bet. But now Peter Thiel has just come in... They've had units in the ocean off the coast of Oregon working.β
βwe introduce MedGym, a benchmark environment for dynamic treatment recommendation. MedGym models longitudinal patient evolution in a continuous-time framework and constructs a configurable medical RL β¦β
βThe source code is publicly available at https://anonymous.4open.science/r/CryoProt.β
βWe evaluate the approach on heat conduction, incompressible Navier-Stokes flow, and a moving single-mass Newtonian gravitational potential, using GPLearn, DEAP, and PySR as downstream SR backends.β
βWe evaluate the approach on heat conduction, incompressible Navier-Stokes flow, and a moving single-mass Newtonian gravitational potential, using GPLearn, DEAP, and PySR as downstream SR backends.β
βit was a great great pod shout out to our friend and friend of the Pod Megan Kelly and also we've got an incredible Duo for the first time we've invited a Duo to join us in The Red Throneβ
βWe evaluate the approach on heat conduction, incompressible Navier-Stokes flow, and a moving single-mass Newtonian gravitational potential, using GPLearn, DEAP, and PySR as downstream SR backends.β
βThe data set is based on previously published numerical homogenization results for ensembles of two-phase stochastic microstructures generated by planar Boolean models...see BrΓ€ndel, Brands, Maike, Rhβ¦β
βif I can just give a quick book recommendation this book Boyd by Robert Korm about John Boyd the Air Force Colonel who you know was part of the reformist uh movement I feel like everyone in Silicon Vaβ¦β
βa book I think you might find really fun is uh it's called Henry Kaiser builder in the American West but Kaiser is kind of underappreciated these days he was the Elon of his timeβ
βAre enterprise platforms about to face a mass exodus? https://twitter.com/i/broadcasts/1ynJOlXWVXyxRβ
βIf you want to get access to this episode and my next 30 episodes all ad-free, go check out my podcast, AI Chat. You can go search for that on Spotify or Apple.β
βIf you want to get all of these news stories straight into your email inbox every day, I have a newsletter you can subscribe to on the subscribe tab of AIChatDaily.com.β
βMy recommendation is to get a Claude max subscription for $200 a month. If you want to build something and build it today, build stuff as soon as you can, what you can take advantage of a lot of theseβ¦β
βIf you want to try my startup and get access to over 80 different AI models in one place for $8.99 a month, go check out AI box.ai.β
βI think Arc like continues to be a source of new ideas and it's been amazingly resistant to people trying incredibly hard to crack it so I think there going to be a good payoff in continuing to work oβ¦β
βPleased to see two new Heron R2 quantum processors taking our total Heron fleet to five... excited to see what our users do with them. https://quantum.cloud.ibm.com/computersβ
βWe introduce SpecReason, a system that automatically accelerates LRM inference... SpecReason achieves 1.4-3.0Γ speedup over vanilla LRM inference while improving accuracy by 0.4-9.0%.β
βCode is available at https://github.com/HanjiangHu/VLESA.β
βOur code is available at https://github.com/UT-SysML/seaotter .β
βwe introduce MAdam (Metric-Aware Multi-Objective Adam), a drop-in wrapper that leaves both solver and optimizer unchanged... MAdam consistently improves over Adam for every solver family.β
βOur method, FreqNO-DPS (https://github.com/niccoloperrone/FreqNO-DPS), combines an unconditional score-based diffusion prior, trained on high-fidelity simulations, with diffusion posterior sampling (Dβ¦β
βWe introduce Egostream, a diagnostic benchmark for streaming episodic memory evaluation in egocentric vision... Project website, news and updates at: https://saroo25.github.io/Egostream/β
βJack has put together a brilliant new course, Inner Technology for Outer Technology. A course which guides us to reimagine our relationship with our tech devices... You can find inner technology for oβ¦β
βLet's dive into episode 324 of the Heart Wisdom podcast. The courage to love amidst war, compassion, exhaustion, and renewal.β
βIf you'd like to learn more about Mantra Ukraine, you can head to instagram.com/mantra.ukraine as well as youtube.com/symbol mantra.ukraine to see the resources that they have set up.β
βaround 2016 there was a lot of research along these lines 2015 2016 like nuring machines for instance and the likeβ
βThe top questions boards should be asking about AI https://twitter.com/i/broadcasts/1OwxWXbeBDWWKQβ
βyou can use abstraction abstract interpretation sat smt solvers which are incredible pieces of Technologyβ
βwe introduce BBOmix, the first open-source tabular benchmark for unsupervised representation learning on real-world biological data.β
βwe introduce AutoLab, a new benchmark for ultra long-horizon closed-loop optimization...We open-source the full benchmark, evaluation harness, and task artifactsβ
βOur code is publicly available.β
βmethods like Sparse Autoencoders (SAEs) may be a promising future direction.β
βMLP outputs, viewed through the lenses of massive activations or the first four moments, do not correlate with example quality or task performance.β
βStefan Volk is a professor at the University of Sydney Business School and author of the HBR article, Tapping Into Your Team's Circadian Rhythms. Here's our conversation.β
βWe study how to use such feedback through a distributional variant of the classic imitation learning algorithm DAgger, where the learner has local access to an expert distribution on states visited byβ¦β
βEmpirically, our approach, DistIL, improves over RLVR and RL with self-distillation baselines across a variety of domains: scientific reasoning, coding, and solving hard mathematical problems.β
βOur code is available at https://github.com/Unknown-zoo/AgentMob.β
βour experiments indicate that off-the-shelf OCR systems are not sufficiently reliable for transcription of handwritten signature data, particularly for short, out-of-vocabulary entries such as names oβ¦β
βI mean Claude is the uh is the best. I mean 3.7 is is really the best at doing agent stuff.β
βThe TensorFlow implementations developed for this work are released as the BEST (Batched Emulator Sampling with TensorFlow) package, providing a general framework for sampling arbitrary TensorFlow likβ¦β
βAlexis Kingsbury's written a very interesting book called Accrual Intentions about an accountancy firm. Get it? Get it? Run purely by AI agents.β
βI did a piece based on this interview this past weekend, like and subscribe at the times.com.β
βThe entire training pipeline and dataset are publicly released on GitHub and Hugging Face respectively.β
βWe apply this general framework to two tabular regression datasets and two post-hoc explainers (SHAP and LIME) to demonstrate the approach.β
βit gets much easier if you release the weights of a large model so they can take a large model and then fine tune it and people are now releasing weights of large models which I think is crazyβ
βNeural Ordinary Differential Equations (NODEs) for continuous time dynamics approximationβ
βWe apply this general framework to two tabular regression datasets and two post-hoc explainers (SHAP and LIME) to demonstrate the approach.β
βfor those of you who are here for the first time if you've not checked out their uh exhibitions I uh heartily uh encourage you to do that they're they're really wonderfulβ
βpeople should read the book to get the prescription yeah I read yeah that's my bookβ
βCode is available at https://github.com/Oranger-l/MGSD.β
βCode: https://github.com/paavo5/ordergradβ
βAI agents that can operate every app on your Mac.β
βthere's others for example we support zelt that empowers companies like Logitech on versel it Powers companies like Ikeaβ
βwe propose MPVI: Motion Planner / VLA Interleaving, a framework that integrates model-based motion planning with VLAs to improve robustness without further training.β
βWe evaluate our approach on the BEHAVIOR-1K benchmark and demonstrate 113% improvement in task progress over a top end-to-end VLA baseline.β
βUsing analytical and interferometric simulations with FINESSE3, we evaluate the noise budget of CHRONOS and characterize the relative contributions of quantum, thermal, and environmental noise sourcesβ¦β
βwe released in January a model called mistral small and it's a general purpose model so it speaks all of the languages it knows mostly about most thingsβ
βIF YOU WANT TO BET ON ELON MUSK, THIS IS A WAY TO DO IT.β
βCode is available at: https://github.com/chwbob/Sam-Flow.β
βWe release Crystal-Bank, a 46.8k-paper dataset with rankings and impact labels, along with code.β
βwe introduce \ours, a closed-loop framework for memory augmentation in SE agents... Our project page: https://xhguo7.github.io/MemOp/β
βright now, Mint Mobile's unlimited plans are 50% off. You can get 3, 6 or 12 months of unlimited premium wireless for 15 bucks a month. Shop Mint Unlimited plans at mintmobile.com slash history.β
βpeople are surprised that that Blackwell is such a great leap over Hopper and the reason for that is because we built Blackwell for inferenceβ
βExplore what's possible. Ask your doctor about Tramphya today. Call 1-800-526-7736 to learn more or visit tramphyoradio.com.β
βLangGraph 0.3 Release: Prebuilt Agentsβ
βJoin millions saving billions on hidden fees by downloading the Wise app today. Be smart. Get wise.β
βChosen Foods is here to defend your favourite foods from the forces of seedy oils and sketchy ingredients. With cooking oils, salad dressings, and mayo, all powered by the good fats from 100% pure avoβ¦β
βour model it's the 24b it's called M saaba it's a model tune on Arabic is outperforming every other language model that are like five times largerβ
βOur work could be a useful tool for scientific discovery across disciplines.β
βModels were evaluated on the EEGDenoiseNet benchmark, cross-dataset BCI transfer tests, controlled baseline retraining, and downstream motor-imagery classificationβ
βdownstream motor-imagery classification with five decoder families across all nine BCI Competition IV-2a subjectsβ
βAperiodic controls should become standard for interpretable physiological time-series deep learning.β
βDelivering both strong performance and computational efficiency, our method serves as a robust and easily adaptable tool for data-efficient learning. The code is publicly available at https://github.cβ¦β
βWe then introduce Cellina, a framework that uses supervised disentanglement to decompose a cell's intrinsic state from its spatial context, using the latter as a conditioning input for counterfactual β¦β
βThe code is available at the link: https://github.com/Meteor-Stars/SFF.β
βThis paper introduces a categorical framework for deep learning models that formalizes broadcasting through the novel axis-stride and array-broadcasted categories.β
β2m temperature ensemble forecasts of the European Centre for Medium-Range Weather Forecasts downloaded from the EUPPBench benchmark dataset and verified against synoptic observations.β
βOur code is publicly available at https://github.com/CaptainCuong/Graph-Calibration-Attack.git.β
βWe release our code at https://github.com/genesistherapeutics/decaf.β
βBrought to you by: LogRocket. This is the AI analytics, logs, and session replay tool you need.β
βTo get access to my AI tool stack - Dovetail, Arize, Linear, Descript, Reforge Build, Relay.app, Magic Patterns, Speechify, Bolt.new and Mobbin - become an annual subscriber ($150)β
βTo get access to my AI tool stack - Dovetail, Arize, Linear, Descript, Reforge Build, Relay.app, Magic Patterns, Speechify, Bolt.new and Mobbin - become an annual subscriber ($150)β