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Ataraxy-Labs/weave: Entity-level semantic merge driver for Git. Resolves conflicts that git can’t by understanding code structure via tree-sitter. 31/31 clean merges vs git’s 15/31. ยท GitHub

Ataraxy-Labs/weave: Entity-level semantic merge driver for Git. Resolves conflicts that git can’t by understanding code structure via tree-sitter. 31/31 clean merges vs git’s 15/31. ยท GitHub

๐Ÿ”ฅ Explore this must-read post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ“Œ **What Youโ€™ll Learn**: Resolves merge conflicts that Git can't by understanding code structure via tree-sitter. Git merges by comparing lines. When two branches both add code to the same file โ€” even to completely different functions โ€” Git sees overlapping line ranges and declares a conflict: <<<<<<< HEAD export function validateToken(token: string): boolean โšก ======= export function formatDate(date: Date): string ๐Ÿ’ฌ >>>>>>> feature-branch These are completely independent changes. There's no real conflict. But someone has to manually resolve it anyway. This happens constantly when multiple AI agents work…
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eurosky

eurosky

๐Ÿ’ฅ Check out this insightful post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: โœ… **What Youโ€™ll Learn**: THE PROBLEMToday, social media is critical technology. It shapes information flows, social norms, and political discourse. Yet Europe runs on US-owned systems whose architectures remain outside European jurisdiction and democratic control.Regulation can constrain platforms, but without alternative technology, the dependency remains. A sovereign continent cannot outsource its public communications layer.THE OPPORTUNITYA new generation of open social media ecosystems built on open protocols offer choice, user control over data and algorithms, and a shared foundation for developers. These open systems discourage the domination of any…
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Indefinite Book Club Hiatus | Whatever

Indefinite Book Club Hiatus | Whatever

โœจ Read this trending post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: Posted on March 3, 2026 ย ย  Posted by John Scalzi ย ย  ย  Today in โ€œThings that โ€˜AIโ€™ has ruinedโ€: No, I wonโ€™t be able to show up to your book clubโ€™s online/offline gathering, and the reason for this is simple: I, and likely every other author you might care to name, am so inundated with โ€œbook clubโ€ spam that itโ€™s become impractical and often impossible to suss out the solicitations by actual book clubs with actual humans, from the literally dozens of โ€œAIโ€-generated spam book…
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RFC 9849: TLS Encrypted Client Hello

๐Ÿ”ฅ Discover this trending post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: 7.1. Client-Facing Server Upon receiving an "encrypted_client_hello" extension in an initial ClientHello, the client-facing server determines if it will accept ECH prior to negotiating any other TLS parameters. Note that successfully decrypting the extension will result in a new ClientHello to process, so even the client's TLS version preferences may have changed.ยถ First, the server collects a set of candidate ECHConfig values. This list is determined by one of the two following methods:ยถ Compare ECHClientHello.config_id against identifiers of each known ECHConfig and select the ones…
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vladich/pg_jitter: Better JIT for Postgres ยท GitHub

vladich/pg_jitter: Better JIT for Postgres ยท GitHub

โœจ Discover this awesome post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ“Œ **What Youโ€™ll Learn**: A lightweight JIT compilation provider for PostgreSQL that adds three alternative JIT backends - sljit, AsmJit and MIR - delivering faster compilation and competitive query execution across PostgreSQL 14โ€“18. JIT compilation was introduced in Postgres 11 in 2018. It solves a problem of Postgres having to interpret expressions and use inefficient per-row loops in run-time in order to do internal data conversions (so-called tuple deforming). On expression-heavy workloads or just wide tables, it can give a significant performance boost for those operations. However, standard LLVM-based…
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robertcprice/nCPU: nCPU: model-native and tensor-optimized CPU research runtimes with organized workloads, tools, and docs ยท GitHub

robertcprice/nCPU: nCPU: model-native and tensor-optimized CPU research runtimes with organized workloads, tools, and docs ยท GitHub

๐Ÿ’ฅ Read this awesome post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ“Œ **What Youโ€™ll Learn**: A CPU that runs entirely on GPU โ€” registers, memory, flags, and program counter are all tensors.Every ALU operation is a trained neural network.Addition uses Kogge-Stone carry-lookahead. Multiplication uses a learned byte-pair lookup table.Bitwise ops use neural truth tables. Shifts use attention-based bit routing. No hardcoded arithmetic. pip install -e ".[dev]" # Run a program โ€” all arithmetic through trained neural networks python main.py --program programs/sum_1_to_10.asm # Run with execution trace python main.py --program programs/fibonacci.asm --trace # Inline assembly python main.py --inline "MOV R0, 42;…
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Nobody Gets Promoted for Simplicity โ€“ Terrible Software

Nobody Gets Promoted for Simplicity โ€“ Terrible Software

๐Ÿš€ Discover this insightful post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ’ก **What Youโ€™ll Learn**: โ€œSimplicity is a great virtue, but it requires hard work to achieve and education to appreciate. And to make matters worse, complexity sells better.โ€ โ€” Edsger Dijkstra I think thereโ€™s something quietly screwing up a lot of engineering teams. In interviews, in promotion packets, in design reviews: the engineer who overbuilds gets a compelling narrative, but the one who ships the simplest thing that works getsโ€ฆ nothing. This isnโ€™t intentional, of course. Nobody sits down and says, โ€œletโ€™s make sure the people who over-engineer things…
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Californiaโ€™s Digital Age Assurance Act, and FOSS

๐Ÿ”ฅ Read this must-read post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ“Œ **What Youโ€™ll Learn**: These solely represent my own interpretation and opinions. Some parts might be wrong โ€” actually โ€” some parts will be wrong. Please tell me somewhere.I am not a lawyer. This is provided solely for the purposes of general information and does not constitute legal advice, guidance, or counsel. No attorney-client relationship is established by the provision of this information, and no reliance should be placed on this information in lieu of seeking professional legal advice. All information is provided โ€œas isโ€, without warranty of any…
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Mac external displays for designers and developers, part 2

Mac external displays for designers and developers, part 2

๐Ÿš€ Read this trending post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: โœ… **What Youโ€™ll Learn**: Since writing about Mac external displays in 2016, not much has changed. LG, Dell, Samsung, and other display makers have either never catered for the specs many Mac designers and developers want, or theyโ€™ve reluctantly produced products that have been short-lived or compromised.In 2019, Apple announced their return to the display market, with an incredible product carrying an incredible price tag. The Pro Display XDR surpasses the specs many Mac users need, which unfortunately also puts it out of reach for many financially.2019 also saw…
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davegoldblatt/marcus-claims-dataset: Systematic extraction and analysis of every testable AI claim Gary Marcus made on his Substack (2022-2026). Dual-pipeline analysis by Claude and ChatGPT with hybrid reconciliation. ยท GitHub

davegoldblatt/marcus-claims-dataset: Systematic extraction and analysis of every testable AI claim Gary Marcus made on his Substack (2022-2026). Dual-pipeline analysis by Claude and ChatGPT with hybrid reconciliation. ยท GitHub

๐Ÿš€ Check out this trending post from Hacker News ๐Ÿ“– ๐Ÿ“‚ **Category**: ๐Ÿ“Œ **What Youโ€™ll Learn**: Gary Marcus is the most prolific AI skeptic on the internet. Since May 2022, he's published 474 posts on Substack making claims about AI's limitations, the companies building it, and where the industry is headed. We extracted every testable claim. 2,218 of them. Scored each one against the evidence as of March 2, 2026. Here's what the data shows. He's more right than wrong Among claims where the evidence is checkable: 59.9% supported 33.7% mixed 6.4% contradicted That's not the number most people expect…
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