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Intel Unveils AI Texture Compression Cutting Memory Use by Up to 18x

The Hot Take: Google, Nvidia and not Intel all the suddenly make this amazing new tech at around the same time? Not buying it.

Intel is advancing texture compression techniques with its newly introduced Texture Set Neural Compression (TSNC) technology, a neural network-based approach designed to significantly reduce the size of texture assets used in modern graphics workloads.

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Nvidia AI tech claims to slash VRAM usage by 85% with zero quality loss — Neural Texture Compression demo reveals stunning visual parity between 6.5GB of memory and 970MB

The Hot Take: Interesting.

Nvidia has just demoed its Neural Texture Compression technique again at a GTC talk, where it showed VRAM usage dropping from 6.5 GB to just 970 MB in a scene. NTC uses a neural network to decompress textures instead of standard block-based compression, reducing texture size and VRAM usage while also improving final image quality.

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Claude Code's Source Code Leaks Via npm Source Maps

The Hot Take: ooof! Ai getting hyper competitive, we sure it wasn't industrial espionage?

Grady Martin writes: A security researcher has leaked a complete repository of source code for Anthropic's flagship command-line tool. The file listing was exposed via a Node Package Manager (npm) mapping, with every target publicly accessible on a Cloudflare R2 storage bucket. There's been a number of discoveries as people continue to pore over the code. The DEV Community outlines some of the leak's most notable architectural elements and the key technical choices: Architecture Highlights The Tool System (~40 tools): Claude Code uses a plugin-like tool architecture. Each capability (file read, bash execution, web fetch, LSP integration) is a discrete, permission-gated tool. The base tool definition alone is 29,000 lines of TypeScript. The Query Engine (46K lines): This is the brain of the operation. It handles all LLM API calls, streaming, caching, and orchestration. It's by far the largest single module in the codebase. Multi-Agent Orchestration: Claude Code can spawn sub-agents (they call them "swarms") to handle complex, parallelizable tasks. Each agent runs in its own context with specific tool permissions. IDE Bridge System: A bidirectional communication layer connects IDE extensions (VS Code, JetBrains) to the CLI via JWT-authenticated channels. This is how the "Claude in your editor" experience works. Persistent Memory System: A file-based memory directory where Claude stores context about you, your project, and your preferences across sessions. Key Technical Decisions Worth Noting Bun over Node: They chose Bun as the JavaScript runtime, leveraging its dead code elimination for feature flags and its faster startup times. React for CLI: Using Ink (React for terminals) is bold. It means their terminal UI is component-based with state management, just like a web app. Zod v4 for validation: Schema validation is everywhere. Every tool input, every API response, every config file. ~50 slash commands: From /commit to /review-pr to memory management -- there's a command system as rich as any IDE. Lazy-loaded modules: Heavy dependencies like OpenTelemetry and gRPC are lazy-loaded to keep startup fast. Read more of this story at Slashdot.

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Microsoft and Nvidia launch AI partnership to speed up nuclear power plant permitting and construction — simulation tools and generative models could hasten historically lengthy processes

The Hot Take: Green New agenda doesn't fit in with Ai replacement of the plebes for sure. So they push us to Solar & Wind while they get viable power options for a bot?

Microsoft and Nvidia are joining forces to accelerate the construction of nuclear power plants for power-hungry AI data centers. The partnership combines generative AI, digital twin simulation, and Nvidia's Omniverse platform to streamline the nuclear lifecycle from permitting through operations.

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Dell hacks away another 11,000 jobs

The Hot Take: I'm thinking more Ai slashing.

The Grey Box Shifter Dell is still swinging the axe through FY26, chopping 11,000 roles and shrinking its workforce by 27 per cent from FY23 to FY26. This latest trim was flagged in US Securities and Exchange Commission filings, with Reuters first clocking the move and the paperwork doing the grim confirmation. In its 10-K filed on 16 March 2026, Dell said its FY26 headcount was 97,000 employees. That is down 10 per cent from 108,000 a year earlier, which is a tidy slide for a company that sells itself on stability and long-term relationships. Stretch the view out, and the cuts look even less like a one-off “restructure” and more like a habit. SEC filings show that Dell had 133,000 employees in FY23, then ended up at 97,000 by FY26, which is how you get to that 27 per cent drop. The money trail is there in the severance charges, which the Grey Box Shifter listed as roughly $569m (£426.4m, about €492m) in FY26. Dell booked $693m in FY25 and $648m in FY24, so the cost of sending staff packing has turned into its own chunky line item. The headcount numbers tell customers and staff the same thing: the box-shifting machine is being tuned to run leaner, whether the workload agrees or not.  

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Samsung union votes to strike, risking Nvidia HBM4 supply disruption

The Hot Take: Only going to shoot costs up on Ai accelerators and RAM or Samsung Chips.

Samsung Electronics' labor union has voted overwhelmingly to initiate dispute proceedings following a breakdown in wage negotiations, raising concerns over potential disruptions to the supply of HBM4 memory for Nvidia's next-generation AI accelerators.

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