Lego Googol Machine
Article URL: https://brickexperimentchannel.wordpress.com/2023/04/29/lego-googol-machine/
Comments URL: https://news.ycombinator.com/item?id=35761457
Points: 38
# Comments: 0
from Hacker News: Front Page https://ift.tt/djU9sEK
Article URL: https://brickexperimentchannel.wordpress.com/2023/04/29/lego-googol-machine/
Comments URL: https://news.ycombinator.com/item?id=35761457
Points: 38
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Article URL: https://lwn.net/Articles/691932/
Comments URL: https://news.ycombinator.com/item?id=35764212
Points: 9
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Article URL: https://github.com/ggerganov/llama.cpp/discussions/1220
Comments URL: https://news.ycombinator.com/item?id=35760489
Points: 23
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Comments URL: https://news.ycombinator.com/item?id=35756577
Points: 10
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Article URL: https://www.reuters.com/legal/energizer-walmart-are-sued-conspiring-raise-battery-prices-2023-04-29/
Comments URL: https://news.ycombinator.com/item?id=35754993
Points: 26
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Article URL: https://www.bbc.com/news/world-europe-65429936
Comments URL: https://news.ycombinator.com/item?id=35755021
Points: 20
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Article URL: https://lamini.ai/blog/introducing-lamini
Comments URL: https://news.ycombinator.com/item?id=35743664
Points: 24
# Comments: 6
Article URL: https://gizmodo.com/nasa-power-hack-extends-voyager-2-mission-science-1850378890
Comments URL: https://news.ycombinator.com/item?id=35731898
Points: 41
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Article URL: https://dfns.dyalog.com/n_Graphs.htm
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Points: 9
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Article URL: https://www.understandingai.org/p/software-didnt-eat-the-world
Comments URL: https://news.ycombinator.com/item?id=35689989
Points: 29
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Article URL: https://www.latimes.com/opinion/story/2023-04-23/commentary-its-not-easy-being-a-green-motorist-in-california
Comments URL: https://news.ycombinator.com/item?id=35678254
Points: 22
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Article URL: https://dariusz.wieckiewicz.org/en/bing-jail/
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Points: 18
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Points: 22
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Points: 8
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Article URL: https://epochai.org/blog/will-we-run-out-of-ml-data-evidence-from-projecting-dataset
Comments URL: https://news.ycombinator.com/item?id=35667764
Points: 10
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Article URL: https://dontbo.re/
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Points: 4
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Article URL: https://lcamtuf.substack.com/p/the-magic-of-dc-dc-voltage-conversion
Comments URL: https://news.ycombinator.com/item?id=35668708
Points: 26
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Article URL: https://ez.substack.com/p/fire-mark-zuckerberg
Comments URL: https://news.ycombinator.com/item?id=35657984
Points: 69
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Article URL: https://fsfe.org/news/2023/news-20230418-01.en.html
Comments URL: https://news.ycombinator.com/item?id=35643915
Points: 47
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Article URL: https://crowdprisma.com/
Comments URL: https://news.ycombinator.com/item?id=35643567
Points: 17
# Comments: 5
Hi everyone,
I just launched Bank List, an online banking directory to help people find the perfect bank for their needs.
It currently has 170+ banks/EMIs and it's mostly focused on individuals and businesses from Europe, but I plan on adding new regions soon.
The business model is affiliate marketing, I earn commission when someone signs up on any of these banks through my link. Maybe I will also add featured listings on the site, still need to think about this though.
I would love to receive feedback about the website and business idea in general.
Thank you
Comments URL: https://news.ycombinator.com/item?id=35643223
Points: 23
# Comments: 18
Hi HN!
GoGoBrowse is a side project I've been working on that allows 2 users to browse the web together while voice chatting.
It's a proof of concept for a new model of browsing the web I've been thinking about. My thought is that before a leap to a 3D Metaverse, we need a 2D Metaverse, which is simply social web browsing. I wrote more about it here: https://gogobrowse.com/before-the-metaverse-we-need-a-new-we...
Though the goal of an entirely social web browser is still quite a ways off, I think of this as a small first step in that direction.
I'd love any feedback on the app itself, and the general concept of social web browsing.
Comments URL: https://news.ycombinator.com/item?id=35631499
Points: 3
# Comments: 6
Article URL: https://www.washingtonpost.com/technology/2023/04/18/nso-apple-iphones-citizen-lab/
Comments URL: https://news.ycombinator.com/item?id=35617951
Points: 31
# Comments: 7
Article URL: https://www.nature.com/articles/s41562-023-01587-9
Comments URL: https://news.ycombinator.com/item?id=35604974
Points: 10
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Article URL: https://jalopnik.com/starchase-guardian-hx-nypd-vehicle-gps-tracker-police-1850327888
Comments URL: https://news.ycombinator.com/item?id=35604544
Points: 23
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Article URL: https://lethain.com/forty-year-career/
Comments URL: https://news.ycombinator.com/item?id=35603181
Points: 22
# Comments: 7
Article URL: https://www.biorxiv.org/content/10.1101/2023.04.11.536486v1
Comments URL: https://news.ycombinator.com/item?id=35592654
Points: 23
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Article URL: https://www.1984.design/c/discussions/usability-heuristics-for-user-interface-design
Comments URL: https://news.ycombinator.com/item?id=35592657
Points: 4
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Article URL: https://ihavemanythoughts.substack.com/p/peak-llm
Comments URL: https://news.ycombinator.com/item?id=35591337
Points: 27
# Comments: 9
Article URL: https://exercism.org/
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Points: 13
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Article URL: https://github.com/mlc-ai/web-llm
Comments URL: https://news.ycombinator.com/item?id=35583349
Points: 21
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Article URL: http://gabarro.org/ccn/gen_fourier.html
Comments URL: https://news.ycombinator.com/item?id=35582084
Points: 14
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Article URL: https://en.wikipedia.org/wiki/Brandolini%27s_law
Comments URL: https://news.ycombinator.com/item?id=35567904
Points: 11
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Article URL: https://www.businessinsider.com/amazon-bedrock-aws-ai-chatgpt-dall-e-competitor-2023-4
Comments URL: https://news.ycombinator.com/item?id=35559497
Points: 23
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Article URL: https://wevpn.com/
Comments URL: https://news.ycombinator.com/item?id=35559634
Points: 24
# Comments: 6
Article URL: https://www.beren.io/2023-04-11-Scaffolded-LLMs-natural-language-computers/
Comments URL: https://news.ycombinator.com/item?id=35544964
Points: 26
# Comments: 4
I have been a Java Developer then full stack developer all my career. I want to get started on AI. I am not sure where to start as it is overwhelming to look at the rapid changes coming in. Are there a list of books i can start with? My goal is to be not outdated in 6 months and lose my job to chatGPT or some other version of it. So i asked ChatGPT to give me a detailed plan and here is what it gave me. Could you please let me know if this is a way to go or if there is a better way
Transitioning from a full-stack engineer to the AI field can be a fulfilling and exciting journey. To make the most of this transition, you should focus on building a strong foundation in mathematics, programming, and machine learning concepts. Here's a detailed learning plan, broken down into four stages:
Stage 1: Building a Strong Foundation
Mathematics:
Linear Algebra: "Linear Algebra and Its Applications" by Gilbert Strang
Calculus: "Calculus: Early Transcendentals" by James Stewart
Probability & Statistics: "Probability and Statistics for Engineers and Scientists" by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, and Keying E. Ye
Optimization: "Convex Optimization" by Stephen Boyd and Lieven Vandenberghe
Programming:
Python: "Python Crash Course" by Eric Matthes
Git: "Pro Git" by Scott Chacon and Ben Straub
Machine Learning & Data Science Basics:
"Introduction to Data Science" by Laura Igual and Santi Seguí "Python Data Science Handbook" by Jake VanderPlas
Stage 2: Learning Machine Learning and Deep Learning
Online Courses:
Coursera: "Machine Learning" by Andrew Ng
Coursera: "Deep Learning Specialization" by Andrew Ng
Fast.ai: "Practical Deep Learning for Coders"
Books:
"Pattern Recognition and Machine Learning" by Christopher M. Bishop "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
Stage 3: Expanding Knowledge of AI Subfields
Natural Language Processing (NLP):
"Speech and Language Processing" by Daniel Jurafsky and James H. Martin
"Natural Language Processing with Python" by Steven Bird, Ewan Klein, and Edward Loper
Computer Vision:
"Computer Vision: Algorithms and Applications" by Richard Szeliski
"Deep Learning for Computer Vision" by Adrian Rosebrock Reinforcement Learning:
"Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto
"Deep Reinforcement Learning Hands-On" by Maxim Lapan
Stage 4: Staying Current and Gaining Practical Experience
Read research papers:
Subscribe to the arXiv mailing list in your areas of interest Regularly read papers from conferences like NeurIPS, ICML, and ACL Participate in online competitions:
Kaggle: Participate in machine learning competitions to improve your skills and build your portfolio AIcrowd: Another platform for AI competitions Contribute to open-source projects:
TensorFlow, PyTorch, or other popular AI frameworks Look for projects on GitHub related to your interests and contribute by fixing bugs, implementing new features, or improving documentation Network with AI professionals:
Attend AI conferences, workshops, and local meetups Join AI-related forums, LinkedIn groups, or online communities like Reddit's r/MachineLearning Remember that the learning plan can be adjusted based on your pace and interests. The key is to stay consistent and always be curious to learn more. Good luck on your journey into the AI field!
Comments URL: https://news.ycombinator.com/item?id=35543774
Points: 27
# Comments: 16
Article URL: https://github.com/gkamer8/praetor-data
Comments URL: https://news.ycombinator.com/item?id=35541519
Points: 13
# Comments: 1
Article URL: https://openai.com/blog/bug-bounty-program
Comments URL: https://news.ycombinator.com/item?id=35528129
Points: 16
# Comments: 7
Article URL: https://techcrunch.com/2023/04/09/f-you-pay-me/
Comments URL: https://news.ycombinator.com/item?id=35512081
Points: 87
# Comments: 46
Article URL: https://openjdk.org/jeps/445
Comments URL: https://news.ycombinator.com/item?id=35514985
Points: 8
# Comments: 5
Article URL: https://szopa.medium.com/teaching-chatgpt-to-speak-my-sons-invented-language-9d109c0a0f05
Comments URL: https://news.ycombinator.com/item?id=35515208
Points: 29
# Comments: 4
Article URL: https://www.eetimes.com/spherical-tokamak-achieves-crucial-plasma-temperatures/
Comments URL: https://news.ycombinator.com/item?id=35505342
Points: 13
# Comments: 4
Article URL: https://fsfe.org/news/2023/news-20230323-02.en.html
Comments URL: https://news.ycombinator.com/item?id=35504786
Points: 16
# Comments: 0
Article URL: https://geekstravelinjapan.wordpress.com/2019/03/10/the-one-thing-i-cant-stand-about-teaching-english-in-japan/
Comments URL: https://news.ycombinator.com/item?id=35504989
Points: 52
# Comments: 35
Article URL: https://nypost.com/2023/04/06/find-my-iphone-app-glitch-sends-strangers-to-mans-home/
Comments URL: https://news.ycombinator.com/item?id=35496365
Points: 23
# Comments: 14
Article URL: https://blog.peterzhu.ca/ruby-c-ext-part-10/
Comments URL: https://news.ycombinator.com/item?id=35495670
Points: 8
# Comments: 0
Article URL: https://simonwillison.net/2023/Apr/7/chatgpt-lies/
Comments URL: https://news.ycombinator.com/item?id=35483823
Points: 130
# Comments: 79
Article URL: https://clark.center/c/nccp
Comments URL: https://news.ycombinator.com/item?id=35481456
Points: 58
# Comments: 10
Article URL: https://www.nature.com/articles/s41598-021-92162-7
Comments URL: https://news.ycombinator.com/item?id=35481088
Points: 7
# Comments: 0
Article URL: https://hothardware.com/news/ddr5-mrdimms-standardized-up-to-17600
Comments URL: https://news.ycombinator.com/item?id=35437473
Points: 129
# Comments: 147
Hello HN,
My cofounder (jon918) and I started Sym three years ago because we were frustrated with how hard it was to manage access to cloud infrastructure. We wanted to build a tool for JIT access that was actually designed for developers. We were wary of tools that tried to accommodate both devs and IT but ended up with usability compromises for both.
First, we figured no one wants another web app to log into so we let administrators define access workflows in Terraform and let developers request and gain access via Slack. That seemed to pay off: being code-based was a big plus for our early customers since it let them manage the logic in version control and test in CI/CD.
Second, we knew that updating permissions/roles/access was a major source of toil and risk in the world of cloud infrastructure. Have you ever tried to avoid annoying, persistent access requests by setting policies that are a bit more permissive than you’d like? We felt that fully automated just-in-time access + approvals could really help here. But we also knew that a simple approval tool could end up leading to request fatigue - kind of defeating the purpose. So we built an SDK to let you define checks in code (e.g. pagerduty.on_call, okta.is_user_in_group, github.get_repo_collaborators) in order to dynamically route requests or fast-track access when appropriate. This seems to be paying off: users are creating Slack-based approvals in front of different types of risky actions like production access, sensitive queries and triggering Lambdas.
We’d love your feedback on our approach so far. Does this make sense to you? Is this a tool you'd use? What would you want to see out of it?
To learn more, check out the video that Nick (nmeans (Sym VPEng)) made [1]. You can also check out our docs [2] or set up your own flow [3].
thanks!
-adam
[1] https://vimeo.com/815222490/c717c18c42
Comments URL: https://news.ycombinator.com/item?id=35468981
Points: 31
# Comments: 3
Article URL: https://karpathy.ai/zero-to-hero.html
Comments URL: https://news.ycombinator.com/item?id=35459031
Points: 70
# Comments: 1
Hi, I am David Kircos. The Founder of Quadratic (https://QuadraticHQ.com), an open-source spreadsheet application that supports Python, SQL (coming soon), AI Prompts, and classic Formulas.
Unlike other spreadsheets, Quadratic has an infinite canvas (like Figma). As a result, you can pinch and zoom to navigate large data sets, and everything renders smoothly at 60fps.
Our vision is to build a place where your team can collaborate on data analysis. You can write Python, AI Prompts, and Formulas in one spreadsheet feeding each other data and updating automatically.
Quadratic is built using WebGL and Rust WASM. To render a large grid of cells smoothly, we tile the spreadsheet similar to google maps. If you are interested in the technical details, check us out on GitHub (https://github.com/quadratichq/quadratic/)
You can use AI to help you write Python and then run the code directly in Quadratic. Then, we feed the result back to the AI model so it can follow along, help you debug, and modify your existing code.
AI can also be used to directly generate data onto the sheet with prompts. It knows the context of what's on the sheet and how the data it's inserting fits in. Try it out.
SQL is coming soon... stay tuned!
Comments URL: https://news.ycombinator.com/item?id=35456509
Points: 22
# Comments: 9
Hi HN, I’m Shimon, the co-founder of Datree: A policy management solution for Kubernetes. We help DevOps engineers prevent misconfigurations in their Kubernetes by enforcing an organizational policy on their clusters. Engineers can define a custom policy or use one of Datree’s built-in policies, such as NIST/NSA Hardening Guide, EKS Security Best Practices, CIS Benchmark, and more.
Our website is at https://datree.io and our GitHub is here: https://ift.tt/eLXf4xg
This is not the first time I have shown Datree to the HN community: A little over a year ago, I posted here an earlier version of Datree (https://ift.tt/JF4k3VT). At that time, Datree consisted of a CLI tool to detect Kubernetes misconfigurations during the development process (locally or in the CI/CD), unlike the version I present today in which the enforcement happens in production.
We built the CLI tool because we detected a big problem among Kubernetes operators: Misconfigurations. Kubernetes is extremely complex and flexible, which makes it very easy to poorly configure it in ways that are not secure. And indeed, we talked to dozens of Kubernetes operators who suffered from various problems, starting with failed audits, all the way to downtime in production, all because of misconfigurations.
Our solution was simple: Give the developers the means to shift-left security testing during the development process with a CLI tool that can be integrated into the CI/CD. We thought this was the best way to approach the problem: It is easiest to fix misconfigurations in the development process before they are deployed to production, it prevents context-switching and relieves resources from the DevOps team.
While the CLI tool was very popular among the open-source community (it got over 6000 stars on GitHub), we soon realized that CI/CD enforcement is not enough. As we talked with Datree’s users, we realized we had made a fundamental mistake: We thought of misconfiguration prevention in technical terms rather than organizational terms.
Indeed, from a technical point of view, it makes sense to shift-left Kubernetes security. But when considering the organizational structure in which it takes place, it simply isn’t enough. DevOps engineers told us that they love the shift-left concept, but they simply cannot rely on the goodwill of the engineers to run a CLI tool locally or to monitor all the pipelines leading to production. They need governance, something to help them stay in control of the state of their clusters.
Moreover, we realized that many companies who use Kubernetes are heavily regulated, and cannot take any chances with their security. Sure, these companies want the engineers to fix misconfigurations during development, but they also want something to make sure that no matter what, their clusters remain misconfiguration-free.
Based on this understanding, we developed a new version of Datree that sits on the cluster itself (rather than in the CI/CD) and protects the production environment by blocking misconfigured resources with an admission webhook. It has a centralized policy management solution to enable governance, and native monitoring to get real-time insights into the state of your Kubernetes.
I look forward to hearing your feedback and answering any questions you may have.
Comments URL: https://news.ycombinator.com/item?id=35440736
Points: 36
# Comments: 4
Article URL: https://www.djangoproject.com/weblog/2023/apr/03/django-42-released/
Comments URL: https://news.ycombinator.com/item?id=35428225
Points: 61
# Comments: 17
Article URL: https://simonwillison.net/2023/Apr/2/calculator-for-words/
Comments URL: https://news.ycombinator.com/item?id=35412296
Points: 34
# Comments: 4
Article URL: https://prompt-engineering-jobs.com/
Comments URL: https://news.ycombinator.com/item?id=35411037
Points: 12
# Comments: 6
In other words, such a puzzle would be impossible or very difficult to make in a physical form.
Comments URL: https://news.ycombinator.com/item?id=35412096
Points: 4
# Comments: 6
Article URL: https://www.coindesk.com/business/2023/03/31/us-government-sold-216m-of-seized-silk-road-bitcoin-this-month/
Comments URL: https://news.ycombinator.com/item?id=35403327
Points: 29
# Comments: 19
Article URL: https://www.infoq.com/articles/wonders-of-postgres-logical-decoding-messages/
Comments URL: https://news.ycombinator.com/item?id=35393040
Points: 47
# Comments: 8
Article URL: https://www.wsj.com/articles/chatgpt-sam-altman-artificial-intelligence-openai-b0e1c8c9
Comments URL: https://news.ycombinator.com/item?id=35392288
Points: 62
# Comments: 40
Article URL: https://www.bbc.co.uk/news/science-environment-65148876
Comments URL: https://news.ycombinator.com/item?id=35401968
Points: 31
# Comments: 5