AI is ushering in a 'tiny team' era

The era of "blitzscaling" in Silicon Valley, where startups prioritized rapid growth and high valuations, is giving way to a new focus on efficiency and minimal staffing, dubbed the "tiny team" era, driven in part by the increasing use of artificial intelligence. Startups are now bragging about their ability to generate revenue with small teams, making revenue per employee a key metric, rather than boasting about their valuations and venture capital funding.

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Apple executives have held internal talks about buying Perplexity

Apple executives have held internal discussions about potentially acquiring artificial intelligence startup Perplexity AI, as the company seeks to bolster its AI talent and technology. The talks, which involve Apple's head of mergers and acquisitions Adrian Perica and services chief Eddy Cue, are still in the early stages and may not lead to an actual offer.

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The AGI economy is coming faster than you think

Tech CEOs and experts predict that AI will significantly impact the economy in the next few years, with potential effects including the elimination of 50% of entry-level white-collar jobs and a 10-20% spike in unemployment. The distribution of AI's benefits will depend on factors such as compute concentration, energy supply, and the emergence of new "meta-work" that complements human labor, with possible outcomes ranging from a broad distribution of gains to a concentrated "Oligarchic Boom" that benefits only a few.

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'It destroys the purpose of humanity': Customers are saying no to AI

Customers are pushing back against the increased use of artificial intelligence by companies like Duolingo and Audible, citing concerns over job displacement and the quality of AI-generated products. The backlash has been strong enough to prompt some users, like artist Karen Crow, to cancel their subscriptions to these services in protest of their decision to replace human workers with AI.

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The Computer-Science Bubble Is Bursting

The number of computer science majors in the US has stalled, with enrollment growing by only 0.2% nationally this year, and is even declining at top programs like Stanford and Princeton. This decline is largely due to a grim job outlook for entry-level coders, as artificial intelligence is increasingly capable of performing coding tasks, making it a potential replacement for human software engineers.

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CVDP: LLM Benchmark for Verilog RTL Design and Verification

The Comprehensive Verilog Design Problems (CVDP) benchmark is a new dataset and infrastructure for advancing research in hardware design and verification, featuring 783 problems across 13 task categories. The benchmark reveals significant limitations in current model capabilities, with state-of-the-art models achieving only up to 34% pass rate, highlighting the need for further research in hardware design automation.

ArXiv

Non-uniform finite-element meshes defined by ray dynamics for Helmholtz problems

The $h$-version of the finite-element method for the high-frequency Helmholtz equation can achieve $k$-uniform quasioptimality and bounded relative error using non-uniform meshes that violate traditional conditions on mesh width. By varying the meshwidth in different regions, the method can adapt to the behavior of the solution, eliminating pollution in the perfectly matched layer and allowing for coarser meshes in certain areas.

ArXiv

Buy It Now, Track Me Later: Attacking User Privacy via Wi-Fi AP Online Auctions

Researchers have discovered a new privacy vulnerability that allows them to remotely gather Wi-Fi identifiers from devices listed on secondhand marketplaces like eBay, using computer vision techniques to extract identifiers from seller-posted images. By leveraging a global Wi-Fi positioning system, they can then geolocate these devices, tracking their physical locations before and after sale, and highlighting the need to protect layer-two network identifiers.

ArXiv

Essential-Web v1.0: 24T tokens of organized web data

Essential-Web v1.0 is a 24-trillion-token dataset with annotated documents covering various categories, created to address the need for massive, well-organized pre-training datasets for language models. The dataset has been used to generate competitive web-curated datasets in areas such as math, web code, STEM, and medical topics, and is available on HuggingFace.

ArXiv

PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion

PartCrafter is a 3D generative model that can synthesize multiple semantically meaningful and geometrically distinct 3D meshes from a single RGB image, adopting a unified and compositional generation architecture. It outperforms existing approaches in generating decomposable 3D meshes, including parts not directly visible in input images, by leveraging a compositional latent space and hierarchical attention mechanism to enable part-aware generation.

ArXiv

I built an AI-powered Layer 7 firewall that stopped a 5K-node botnet

Jave Ethical Defender is a next-generation, AI-powered Layer 7 firewall that defends against modern threats through behavioral analysis, detecting intent rather than just reacting to known patterns. The project's public documentation portal provides demos, technical insights, and information on its features, which include deterministic AI scoring, entropy mapping, and honeypot containerization, with a private repo available for investors, researchers, and early adopters.

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Opencode – AI coding agent, built for the terminal

Opencode is an AI coding agent built for the terminal, offering a range of features and capabilities, with a focus on being 100% open source and provider-agnostic, allowing users to work with various models and providers. It can be installed via various methods, including npm, brew, and paru, and has a client/server architecture, with documentation and community support available for users and contributors.

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Show HN: Swift UI app for extracting beer information by just taking photos

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Eris – Chat with AI privately on your iPhone and iPad

Eris is a private AI chat application that runs entirely on your device using Apple's MLX framework, allowing for 100% private conversations without any data leaving your device. The app supports multiple AI models, offline use, and features like syntax highlighting, markdown support, and native design, making it a seamless experience for iPhone and iPad users with compatible devices.

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Monorepos solved: graph-based search

Graph-Code is a Retrieval-Augmented Generation (RAG) system that analyzes Python repositories, builds knowledge graphs, and enables natural language querying of codebase structure and relationships. The system consists of two main components: a repository parser that analyzes Python codebases and ingests data into a Memgraph database, and an interactive RAG system that allows users to query the stored knowledge graph using natural language.

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