Fujitsu launches made-in-Japan next-generation CPU FUJITSU-MONAKA

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Bend – A language that blocks AI mistakes via proof, on CPU and GPU

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<a href="https:&#x2F;&#x2F;archive.ph&#x2F;F77tj" rel="nofollow">https:&#x2F;&#x2F;archive.ph&#x2F;F77tj</a>

The American Religion of Self-Storage Facilities

I kept seeing engineers share what they were building with AI; however, I was always more curious about how they worked. Which agents did they use? What skills and tools had stuck or been thrown out the window? How did they manage longer-running tasks?   So I built this with the hope we could have a dedicated space to share and be open about our setups.

Show HN: Share your AI Setup, Learn from others

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More than 100k people in Japan are now aged 100 or older

CrowdSec Source Code Leak

Infinite-Parameter LLMs: Generating and Adapting Weights from Live Data

Abstract at IEDM website belowABSTRACTA14 NanoFlexTM Pro platform technology features the world’s smallest SRAM with a cell size &lt;0.017μm2 and highest SRAM macro density to date through dimensional ground rule scaling. Coupled with standard cell innovations, it delivers a full-node PPA improvement over the predecessor N2 technology for a 10~15% speed enhancement, a 25~30% power reduction and a chip density increase by ~20% driven by logic and SRAM scaling. Key features, such as TSV, innovative RDL that enables SoIC bond pitch of 4.5μm and high-performance MiM processes, have also been developed to accelerate the system-level integration and scaling for SoIC products. Supported by robust yield and device progress, A14 technology is on track for volume production in 2028.

TSMC revealing details about next gen A14 node

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Running Ubuntu on the Lenovo IdeaPad Duet

Flet 1.0 – Build cross-platform apps in Python

Hey HN, we&#x27;re Nars &amp; Nishant, founders of Skillsync (<a href="https:&#x2F;&#x2F;skillsync.com">https:&#x2F;&#x2F;skillsync.com</a>)Skillsync lets you move your AI chats across every coding agent. Most of our work exists as conversations, which are currently scattered across our agents. Though stored locally, these conversations use different formats. This is annoying because you cannot simply switch between agents without starting over. We get locked into a single provider and their agent as we invest in skills and memories over time. Skillsync acts as a universal converter. It moves the entire session, including all the messages, reasoning and tool calls so you can pick up right where you left off.Skillsync collects all your sessions in one place and makes them searchable. It breaks down what each session is carrying, including which loaded skills the agent is actually using, making stale context easy to spot. You can also create shared workspaces to sync sessions across your team. You can build your own closed loop systems. Everything runs locally except when you share to workspaces.The core is an open-source Rust engine called txcript (<a href="https:&#x2F;&#x2F;github.com&#x2F;skillsynchq&#x2F;txcript" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;skillsynchq&#x2F;txcript</a>). It translates a session from one agent&#x27;s on-disk format into another&#x27;s, mapping conversation, reasoning, and tool history. Think ffmpeg or pandoc, but for agent sessions.On top of that engine is a local-first desktop app. Your agent sessions are normally scattered across different tools&#x27; folders in formats you&#x27;d never read by hand; the app surfaces them in one place with a UI that makes them actually readable, the conversation, the reasoning, and the tool calls, so you can revisit what happened, move a session into another agent, or share it with a teammate.Skills and memory are stored as portable, human-readable markdown you own, and exposed to any agent over MCP for search and selective retrieval.Sessions and translation run locally on your machine. The one thing that leaves is what you explicitly share into a team workspace.It’s been surprising to us to see how locked-in people already are without realizing it. You don&#x27;t notice you&#x27;re trapped in one agent or harness until you try to leave, and by then you&#x27;ve got months of sessions stuck in a format only that tool can read. The lock-in is invisible right up until it&#x27;s expensive.Once sessions are portable, they stop being disposable logs and become something you can actually build on, spotting patterns in how you work, handing a session off to someone else, letting a non-technical teammate pick up where an engineer left off. The session turns out to be the unit of collaboration, and right now it&#x27;s being thrown away.Before Skillsync, Nars and I built an open-source payment orchestrator that let merchants route across many processors instead of getting locked into one (30k+ GitHub stars). Fighting vendor lock-in by making incompatible systems interoperate was the whole job. We came into YC with a different idea, but the more we lived inside coding agents the more we saw the same problem from the other side: your context is locked into whatever agent you start with, because every agent stores sessions differently and none of it moves.Some of the things we’re seeing people do with Skillsync are:- Moving a session between Claude Code, Codex, and Cursor mid-task, including when you hit a usage limit on one and want to keep going on another.- Thinking through a problem in a browser Claude chat, then handing the whole thread to Claude Code or Codex to build.- Sharing research sessions with a team. Everyone uploads their sessions, so teammates and their agents can build on each other&#x27;s work instead of repeating it.It&#x27;s available as a Mac app, CLI and MCP. Here&#x27;s the demo: <a href="https:&#x2F;&#x2F;youtu.be&#x2F;7hVhSnSKGl8" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;7hVhSnSKGl8</a>. Would love to hear your feedback and answer questions!

Launch HN: Skillsync (YC W26) – AI chat sessions made portable across agents

The most important product decision is what you don't build