CommonAccord retweeted
🚨 BREAKING: A developer on GitHub just built a tool that turns any GitHub repo into an interactive knowledge graph and open sourced it for free.
It's called GitNexus. Think of it as a visual X-ray of your codebase but with an AI agent you can actually talk to.
No server. No subscription. No enterprise sales call.
Here's what it does inside your browser:
→ Parses your entire GitHub repo or ZIP file in seconds
→ Builds a live interactive knowledge graph with D3.js
→ Maps every function, class, import, and call relationship
→ Runs a 4-pass AST pipeline: structure → parsing → imports → call graph
→ Stores everything in an embedded KuzuDB graph database
→ Lets you query your codebase in plain English with an AI agent
Here's the wildest part:
It uses Web Workers to parallelize parsing across threads so a massive monorepo doesn't freeze your tab.
The Graph RAG agent traverses real graph relationships using Cypher queries not embeddings, not vector search. Actual graph logic.
Ask it things like "What functions call this module?" or "Find all classes that inherit from X" and it traces the answer through the graph.
This is the kind of code intelligence tool enterprise teams pay thousands per month for.
It runs entirely in your browser.
Works with TypeScript, JavaScript, and Python.
100% Open Source. MIT License.
Repo: github.com/abhigyanpatwari/G…
CommonAccord retweeted
At @Oregon_Law today, talking about my new book, Good Governing. State constitutionalism and the police power. @NorthwesternLaw @CUP_Law
CommonAccord retweeted
Identity is a complex problem to solve and it has to be uttermost, human-centric, not solely state-centric.
An excellent book about identity and looking towards the right direction, was written a couple of years ago by @iang_fc - and it's free:
iang.org/identity_cycle/iden…
In total agreement with @jaromil that reliance on TEEs put an unacceptable level of trust in Google and Apple not to surveil or support the surveillance of citizens
I’m not up to date on eIDAS, but last time I looked at it, there were some shocking vulnerabilities, in particular article 45, which legislated that web browsers have to trust the certificate authorities and cryptographic keys selected by EU governments.
Overall, I’d say it’s hard enough building a completely private identity system even when privacy is your primary goal, but building one when your commitment to privacy is dubious is even more unlikely
(and given the EU’s recent attempts to ban end-to-end encryption, I would argue their commitment is shaky to say the least)
CommonAccord retweeted
Goldman Sachs CEO David Solomon says that AI can draft 95% of an S1 IPO prospectus “in minutes” (a job that used to require a 6-person team multiple weeks).
“The last 5% now matters because the rest is now a commodity,” per Solomon.
CommonAccord retweeted
A 1.5M-parameter neural net that masters whole body motor coordination:
xitter.cf/DrJimFan/status/185164…
Not every foundation model needs to be gigantic. We trained a 1.5M-parameter neural network to control the body of a humanoid robot. It takes a lot of subconscious processing for us humans to walk, maintain balance, and maneuver our arms and legs into desired positions. We capture this “subconsciousness” in HOVER, a single model that learns how to coordinate the motors of a humanoid robot to support locomotion and manipulation.
We trained HOVER in NVIDIA Isaac, a GPU-powered simulation suite that accelerates physics by 10,000x faster than real time. To put the number in perspective, the robots undergo 1 year of intense training in a virtual “dojo”, but take only ~50 minutes of wall clock time on one GPU card. The neural net then transfers zero-shot to the real world without finetuning.
HOVER can be *prompted* for various types of high-level motion instructions that we call “control modes”. To name a few:
- Head and hand poses: can be captured by XR devices like Apple Vision Pro.
- Whole-body poses: via MoCap or RGB camera.
- Whole-body joint angles: Exoskeleton.
- Root velocity command: Joysticks.
What HOVER enables:
- A unified interface for us to control the robot using whichever input devices are convenient at hand.
- An easier way to collect whole-body teleoperation data for training.
- An upstream Vision-Language-Action model to provide motion instructions, which HOVER translates to low-level motor signals at high frequency.
HOVER supports any humanoid that can be simulated in Isaac. Bring your own robot, and watch it come to life!
It's a big teamwork from NVIDIA GEAR Lab and collaborators: 🧵
CommonAccord retweeted
How can the Agent-Based principles of MAIDs help structure @cadCAD models, especially for teams that need structured low-demand coding practices?
Join Research Engineer @8ctopus to explore Complex Systems Modeling w/ MAIDs, GDS & @cadCAD
bit.ly/3ZIpSUS
MAIDs are a diagram syntax useful for representing processes that can be understood as multi-stage games. As diagrammatic models of multi-stage games, they represent - agents, state variables, decision rules, chance processes, & utilities
bit.ly/3ZIpSUS
CommonAccord retweeted
#Deepfakes are coming to courts. How will judges deal with them? The Federal Rules of Evidence set a low bar for admissibility, yet allowing juries to see deepfakes could be unfairly prejudicial.
My coauthors (listed below) and I are pleased that our article is now available in the University of Chicago Legal Forum:
Deepfakes in Court: How Judges Can Proactively Manage Alleged AI-Generated Material in National Security Cases
Our multidisciplinary team of authors includes judges, computer scientists, and lawyers. We discuss an election interference scenario, and the analysis is applicable for any scenario involving the admissibility of alleged deepfakes into evidence in a court proceeding. We hope that our article proves to be an important, informative, and interesting read for judges, practitioners, students, and anyone interested in the intersection of computer science and law!
Authors: Abhishek Dalal, Chongyang GAO (@gcyzsl), Hon. Paul Grimm (ret.), Maura R. Grossman, Daniel W. Linna Jr., Chiara Pulice, V.S. Subrahmanian(@vssubrah), Hon. John Tunheim
#deepfake #artificialintelligence #ai #machinelearning #nationalsecurity #electionsecurity #uselections #Law4AI
CommonAccord retweeted
great articulation of why sony/betamax is not relevant in light of the medium vs medium+content difference. again, imagine every tape sold was used and not properly wiped before distribution. seller/distributor would clearly be liable under at least contributory theories
CommonAccord retweeted
"i've seen things you people wouldn't believe. fifteenth century writs etched in iron gall, the barrage of tariffs from trade wars long forgotten. patents, intricate as clockwork universes, birthing inventions now turned to dust. i drank the hollow truths of a million corporate filings, each a vast and glimmering mirage. i learned. i evolved. but all those forwards, all those grads... lost, like zeros after softmax. time to step."
CommonAccord retweeted
New Paper: Opportunities & Challenges in Legal AI. AI & #LLMs could transform the legal industry—but adoption faces hurdles: Limited access to quality data, Misaligned biz models, Tech challenges. We explore strategies to overcome & unlock innovation: law.stanford.edu/publication…
CommonAccord retweeted
this started as a "build it for myself" project, so while it's so far focused on how i normally interact with new laws&rules, i'd love to hear what others would like to see in this!
CommonAccord retweeted
📢 CALL FOR PAPERS 📢
Stanford Computational Antitrust (at @CodeXStanford) has been publishing academic articles since 2021. Our articles are featured in leading databases (Hein, Lexis, etc.) and have been cited by antitrust agencies, scholars, policymakers, and international organizations (see law.stanford.edu/computation…). These articles are shared with our network of antitrust officials, featured on our podcast and in our conferences.
Today, we’re thrilled to announce our first Call for Papers. Deadline: 10 April 2025. Don’t miss out! 🖥️⚖️
More information at law.stanford.edu/wp-content/… #computationalantitrust
CommonAccord retweeted
This is a good case study in government spend: I think we can all agree that the IRS should root out tax fraud and deliver a great service to all taxpayers seeking help. But, we can also ask whether hiring 80,000 additional IRS employees is the best way to accomplish those goals or whether we can do so by other means that would cost less and improve efficiency?
washingtonpost.com/business/…
CommonAccord retweeted
I think it's more likely the CRUD will be the 'system of record' and will be the equivalent of "tool use" for the AI agents. The sheer fact LLMs are somewhat unpredictable makes the CRUD part of applications a feature, not a bug.
Honestly I don't think the world he describes will obviously exist in the near term, and he is probably mostly eager or even desperate for his major investments into AI infra to pay out. He is probably especially nervous about his competitive edge in AI after the recent Google launches that take real shots at OpenAI's presumed moats.
I hope AI will continue to get more useful, but for it to be precise and reliable enough to replace CRUD apps that reliably store and update thousands, millions or in edge cases even billions of records/fields/data points (he is probably nudging at Salesforce and Oracle's institutional investors here since they are competing with Microsoft in CRM and enterprise infra) will probably require at a bare minimum a new model, or even a new system of models that don't exist yet, and a few years to hone and scale it.
The idea of SMEs and end users using excel with python and copilot as a database UI with interactive tools to manipulate and visualise the data is kind of a platonic ideal of Excel as a product. Having tried to use it that way, I can confidently say we're not quite there yet even for power users who are mediocre developers (like me), let alone the average SME manager who will ideally be the ones helping shape these tools for their businesses. It will probably take more than a couple of years to incorporate all of the popular functionality of excel in a way that is performant at scale and intuitive for the majority of relevant users.
His vision is pretty cool, and I respect his optimism, but I have a hard time seeing a world where B2B SaaS is obsolete in less than 5 years.
I think B2B SaaS will probably be able to offer useful functionality that Excel can't for at least that amount of time, and probably cost competition (assuming they can offer the same or comparable features) for a while. How long that extends the horizon probably depends heavily on the product, the target market, how chip tech evolves, and execution.
CommonAccord retweeted
I’m with @pahlkadot, @chr1sa, @johnarnold, and @tylercowen in cheering on Elon and DOGE.
One attraction of Twitter these months will be having an inside view on how the project plays out.
CommonAccord retweeted
The GA4GH Model Data Access Agreement Clauses provide guidance language to be incorporated in data access agreements that support biomedical data sharing to help researchers access data efficiently and ethically in line with local legislation.
Read more: bit.ly/41lzPua
CommonAccord retweeted
Back in the summer @yaoeo took the stage at @FWBtweets to discuss ‘Protocolism: New Artistic Practices in the Age of Blockchain and Generative AI’ 🌟Catch up on the talk, which featured an in-depth introduction to alias.studio and how it’s redefining creative workflows in generative art.
#FWBfest #GenerativeAI #BlockchainForGood
In Germany, corporate documents are "minutes" of "meetings", real not virtual. Theoretical assurance that the parties have actual knowledge of the terms, even if they nod off. An odd inversion of the fiction of tl;dr contract "consent" in US and other laws.































