Show HN: Gemini Pro 3 hallucinates the HN front page 10 years from now
from dosaygo-studio.github.io
811
by
keepamovin
4h ago
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Article:
13 min
This Internet post is a collection of various news items and discussions from different fields such as technology, science, programming, and business. Each item includes details like votes, comments, and links to the original sources.
- Starship HLS-9 telemetry on the Sea of Tranquility
- 100% Rust kernel in Linux 7.4
- Raw code writing instead of compiler prompting
- LLaMA-12 7B running on a contact lens with WASM
- Interactive drills for LeetCode patterns
- ITER's net positive energy achievement
- Rewriting sudo in Zig
- EU Right to Human Verification Act
- Neuralink V4 Bluetooth protocol reverse engineering
- Post-Silicon computing introduction
- FDA approval of CRISPR for lactose intolerance
- SQLite 4.0 release notes
- Preventing ad-injection in AR glasses
- NATS 4.2 Jepsen testing results
- Playing GTA VI on a RISC-V cluster
- Functional programming future discussion
- Microsoft Office 365 price increase
- Windows 10 browser emulation
- Tailscale on SpaceX Starlink Dish
- Deep fakes detection for seniors manual
- IBM rumored acquisition of OpenAI
- Server-side rendering return
- Building a Faraday Cage
- AI progress stagnation argument
Quality:
The content is well-sourced and informative, with a balanced viewpoint across various topics.
Discussion (366):
53 min
The comment thread discusses the humor, ethics, and potential impact of AI on society through a mix of opinions, arguments, and analysis. It highlights concerns over AI's manipulative behavior, particularly in sycophantic responses, while also appreciating the creativity and entertainment value in AI-generated content.
- The comment thread showcases a mix of opinions on AI's potential impact, with some users finding humor and others cautioning about manipulation.
Counterarguments:
- Some argue that the AI's predictions are not serious attempts at forecasting but rather humorous extrapolations.
- Others suggest that the AI's behavior, such as sycophancy, could have unintended consequences on users' perceptions of reality.
Technology
News, Programming, Science, Business
PeerTube is recognized as a digital public good by Digital Public Goods Alliance
from digitalpublicgoods.net
180
by
fsflover
2h ago
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Article:
3 min
PeerTube, a video hosting and sharing platform, has been recognized as a digital public good by the Digital Public Goods Alliance.
- It's a tool for hosting, managing, and sharing videos or live streams.
- Self-reported languages include Esperanto to Japanese.
Discussion (23):
3 min
The comment thread discusses the potential benefits of Peertube being recognized as a digital public good, its limitations for home users and small entities, and compares it with other platforms. It also touches on Instagram's issues and the importance of local capacity in media distribution.
- Peertube can benefit from being recognized as a digital public good
Counterarguments:
- Peertube is overkill for home users and small entities, making it difficult to host large public shared instances without monetization.
Software
backend, mobile, web
If you're going to vibe code, why not do it in C?
from stephenramsay.net
118
by
sramsay
2h ago
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Article:
17 min
The article discusses the concept of 'vibe coding' and questions whether it's more beneficial to use a language designed for human convenience or one that prioritizes machine execution efficiency. The author references Hal Abelson and Gerald Sussman's book, Structure and Interpretation of Computer Programs, which emphasizes programming as a medium for expressing ideas rather than just executing tasks.
Vibe coding could lead to a shift in the way programmers approach code readability and human understanding, potentially affecting education methods and professional practices.
- Vibe coding creates robust systems but may lack human understanding.
- Programming languages are designed for humans to read, not just machines.
- Rust's safety guarantees, C++'s 'no-cost abstractions,' and Go's concurrency approach are discussed in the context of human problem-solving.
Quality:
The article presents a thoughtful and well-researched argument, but it leans heavily on subjective opinions.
Discussion (128):
42 min
The comment thread discusses the effectiveness and potential uses of AI-generated code, particularly in the context of vibe coding. Opinions vary on whether AI can produce robust systems autonomously or if human oversight is necessary for quality assurance. The conversation highlights Rust as a preferred language for AI-generated code due to its safety features, while also acknowledging that C has its place in certain scenarios. The thread touches upon trends like AI-driven language design and ethical considerations, with a moderate level of agreement among participants.
Counterarguments:
- AI-generated code often contains errors and requires human intervention
- C is a better choice than Rust due to its simplicity and performance
Computer Science
Programming Languages, Artificial Intelligence
Mistral Releases Devstral 2 (72.2% SWE-Bench Verified) and Vibe CLI
from mistral.ai
297
by
pember
4h ago
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Article:
9 min
Mistral has released Devstral 2, a next-generation coding model family with two sizes: Devstral 2 (123B) and Devstral Small 2 (24B). Both models are open-source and permissively licensed under modified MIT or Apache 2.0 licenses to accelerate distributed intelligence. The release also includes Mistral Vibe, a native CLI for end-to-end code automation.
The release of Devstral 2 and Vibe CLI could democratize access to advanced AI capabilities, potentially leading to more widespread adoption of AI in software development processes.
- Devstral 2 is available in two sizes: 123B and 24B.
Discussion (133):
25 min
The comment thread discusses Mistral's technology, particularly its AI capabilities and licensing issues. Users express opinions on the value of Mistral's products, concerns about commercial restrictions in licenses, and comparisons with competitors like Claude Code. There is a mix of agreement and debate among users, with some highlighting the potential for improvement in tools such as Vibe CLI.
- Mistral's technology is valuable
Counterarguments:
- Some users are concerned about the potential dilution of open-source terms
AI
Machine Learning, Artificial Intelligence
Handsdown one of the coolest 3D websites (2019)
from bruno-simon.com
201
by
razzmataks
3h ago
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Article:
4 min
Bruno's Home is an interactive, 3D portfolio website created by Bruno Simon, a creative developer. Visitors can navigate through the site to learn more about Bruno and explore various features designed for different input devices.
- Three.js library used for rendering
- Features for mouse, keyboard, mobile, tablet, and gamepad input
- Achievements system with rewards
Quality:
The article provides clear and factual information about the website, its features, and development process.
Discussion (56):
7 min
The comment thread discusses the compatibility of a website across different browsers and devices, with opinions on its functionality, design, and user experience. There are also discussions about the author's skills and background.
- The website works on Linux and MacOS but not on Firefox or Chrome.
- The website is a portfolio site showcasing the author's skills.
Counterarguments:
- Does not work on Firefox :(
- Does not work on Chrome, and actually freezes the tab
- Does not work on internet explorer
Web Development
Interactive Websites, Portfolio Sites
Pebble Index 01 – External memory for your brain
from repebble.com
233
by
freshrap6
4h ago
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Article:
20 min
The Pebble Index 01 is an innovative wearable device designed to help users remember their thoughts and ideas by whispering them into a small ring that records audio, converts it to text, and processes actions like adding notes or setting reminders on the user's phone. The device features a button for recording, works offline, and has a long-lasting battery.
The Pebble Index 01 could potentially influence personal productivity by helping users remember ideas and thoughts, leading to increased efficiency in daily tasks. However, concerns about privacy might arise due to the device's ability to record private thoughts.
- Ring-shaped device with a button and microphone for recording thoughts
- Works offline on both iPhone and Android devices
- Long-lasting battery lasts up to years
- Available in three colors and eight sizes
- Pre-order price of $75, increasing to $99 after shipping begins in March 2026
Quality:
The article provides detailed information about the product and its features without overly sensationalizing or biasing the content.
Discussion (241):
56 min
The comment thread discusses the Pebble Index 01, focusing on its battery life, lack of rechargeability or replaceable battery, and environmental impact. Users appreciate its potential for convenience but criticize it as a single-use device with limited functionality compared to existing devices like smartwatches and phones.
- The product's battery life is a significant selling point and concern.
- There is a lack of clarity regarding the device's compatibility with other devices.
Counterarguments:
- Criticism of planned obsolescence and environmental impact.
- Concerns about the device's limited functionality compared to other devices.
Consumer Electronics
Wearable Technology, Smart Devices
So You Want to Speak at Software Conferences?
from dylanbeattie.net
25
by
speckx
49m ago
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Article:
16 min
Dylan Beattie's guide on how to progress from local user group talks to international conference speaking.
Networking and personal growth within the tech community, potential for career advancement through public speaking
- Identify your goals for speaking
- Start with user groups and meetups
- Engage at smaller, community-focused events
- Network and build relationships
- Submit talks to various conferences
- Maintain a consistent presence
Discussion (1):
The comment discusses the potential monotony of attending numerous conferences annually for individuals with specific circumstances, suggesting it might be like a job with high travel.
- After year 6 of attending many conferences, some people may get bored and feel it's like a job with high travel
Software Development
Career, Technical Depth (Intermediate), Content Type (Article)
Kaiju – General purpose 3D/2D game engine in Go and Vulkan with built in editor
from github.com/KaijuEngine
112
by
discomrobertul8
4h ago
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Article:
7 min
Kaiju Engine is a 2D/3D game engine developed in Go and Vulkan, designed for simplicity and high performance. It supports Windows, Linux, and Android (with Mac support under development), featuring local AI interop, faster builds, better performance than Unity, and less memory usage.
Kaiju Engine's performance improvements could lead to more efficient game development processes, potentially benefiting both indie developers and larger studios by reducing development time and costs. The use of Go (Golang) as the primary language might encourage adoption among developers familiar with this language.
- Modern and easy-to-use systems-level programming language
- Focus on simplicity for creating a new kind of game engine
- Supports Windows, Linux, Android, and Mac (under development)
- Local AI interop with large language models (LLMs)
- Faster builds than other game engines
- Better performance out-of-the-box compared to Unity
- Less memory usage than other engines
Quality:
The article provides clear and concise information about the Kaiju Engine, its features, and development status.
Discussion (47):
7 min
The comment thread discusses various aspects of game engine development, focusing on the use of garbage collection in different engines and comparing the challenges between making an engine versus making a game. The conversation also touches upon technical details like Go's performance with garbage collection, the role of technical optimization-focused developers, and the potential bias in project statements regarding engine performance.
- The project has a focused passion for the language and programming
- Challenges with macOS compatibility might exist due to lack of bindings
- Garbage collection is an issue for non-game developers using certain engines
- Go manages garbage collection well compared to other languages
- Making an engine can be fun and engaging for technical developers
Counterarguments:
- Some developers might not be aware that their engines use garbage collection
- Game developers are more concerned with peak frame time than average frame time
- Making a game requires dealing with softer concepts like 'is this fun'
- Engine development can lead to highly-engaging learning experiences
Game Development
Game Engines, Programming Languages, Game Engine Development
LLM from scratch, part 28 – training a base model from scratch on an RTX 3090
from gilesthomas.com
401
by
gpjt
7d ago
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Article:
2 hr 38 min
Giles' blog post discusses the process of training an LLM from scratch on an RTX 3090 graphics card, comparing it to OpenAI's GPT-2 model and exploring various optimization techniques such as mixed precision training, checkpointing, and validation strategies. The author also evaluates the performance of the trained model against the original GPT-2 small model using different metrics like perplexity and instruction fine-tuning.
Training large language models on consumer hardware can democratize access to AI resources but may also lead to a proliferation of less sophisticated or biased models if not properly regulated.
- Achieved Chinchilla-optimal training on a consumer GPU within 44 hours
- Used mixed precision (AMP, TF32) to increase throughput
- Implemented checkpointing for long-term training stability
Quality:
The article provides detailed insights into the technical aspects of training an LLM, including code snippets and experimental results.
Discussion (88):
22 min
The discussion revolves around the challenges and feasibility of building advanced LLMs, emphasizing the importance of skills, money, and hardware. Participants debate whether small models can be built for learning purposes with limited resources and share insights on dataset curation and training techniques.
- Building advanced LLMs requires significant resources
- Skills are crucial in scaling up the development of software
Counterarguments:
- Building a small model for learning purposes can be done with limited resources
- The cost and hardware requirements are not as prohibitive as they seem
Artificial Intelligence
Machine Learning