For providing seamless block storage to PVE. Contribute to truenas/truenas-proxmox-plugin development by creating an account on GitHub.

Votre téléphone ne sera bientôt plus le vôtre. En 2027, Google bloquera toutes les applis Android dont les développeurs ne se sont pas enregistré selon leurs conditions.

Extension NAS ultime ! Découvrez comment un ingénieur réseau a atteint 350 To avec ZimaBoard 2. Utilisez notre guide PCIe HBA pour maximiser dès maintenant la capacité de stockage de votre serveur dom...

Si quelqu'un te pose une question, réponds avec ta propre réponse — pas avec celle du chatbot.

Dove vedere l'eclissi? · ¿Dónde ver el eclipse? · Wo die Finsternis sehen? · Où voir l'éclipse?

An implemantation of LLM Wiki, focused for devs and claude code sessions extraction - Armgd/llm-wiki-claude-code

5.15. Property Graphs # A property graph is a way to represent database contents, as an alternative to the usual (in …

iOS 27 system prompts. GitHub Gist: instantly share code, notes, and snippets.

A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon. - apple/container

As a non-native English writer, I rely on LLMs for grammar, copyediting, and translation, despite hating AI slop.

Our next npm major version, v12, introduces security-related default changes to npm install. All these changes are available behind warnings in npm today on 11.16.0 or newer, so you can…

The EU Open Source Strategy places open source at the centre of the EU’s technological sovereignty by promoting European open alternatives to non-EU proprietary solutions in critical domains.

If you liked this piece, you should subscribe to my premium newsletter. It’s $70 a year, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 5,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic and OpenAI’s

Signal’s June 8, 2026 statement condemns the UK government’s proposal to require age‑verification and automated nudity scanning of all device content as a form of mass surveillance that will erode privacy, strengthen platform control, and be expanded beyond its original scope; the statement argues this policy won’t keep children safe and calls for investment in education, social services, and AI guardrails instead. citeturn0view0

Eliminate impostor syndrome, Escape software influencer dogma, Rise above subjective debates, Give concrete answers you can explain. Unleash your full potential as a software engineer

We

Run AI models in your app on Apple silicon.

Short, punchy write-up describing a trivial-seeming Instagram account takeover that abused Meta’s AI-powered support flow to change a linked email and reset the password, bypassing 2FA; author notes Meta appears to have patched it. High signal for practitioners interested in real-world AI automation failures and the security gaps in account-recovery workflows.

Across hundreds of Reddit threads and a small body of clinical literature, AI-driven displacement is producing an emotional category that most closely resembles grief, and the institutions causing it have no language for it.

Explaining the concept of a Postgres-backed durable execution system like DBOS and comparing it to external workflow orchestration systems like Temporal.

A deep, hands‑on walkthrough of reverse engineering and patching the Yamaha THR10c guitar amp firmware. The post covers hardware work (soldering UART/JTAG connectors), using an FT2232H adapter with OpenOCD, dumping and disassembling memory, relinking and patching the firmware, flashing updates, and possible next steps like MIDI 2 and custom DSP.

Telltale SSD activity can be measured in the browser using simple JavaScript.

Short, timely opinion piece arguing that AI-driven productivity gains should translate into shorter workweeks (e.g., a Friday off), mixing wry personal anecdotes about childcare and a broader point about redistributing gains from automation. Useful provocation for engineering leaders weighing AI efficiency vs. workplace norms. citeturn0view0

htop for the airwaves — a live 802.11 (Wi-Fi) RF dashboard in your terminal - yeet-src/airtop

brew install pip install poetry add pdm add uv tool install conda

A playful, practical benchmark that uses the cultural “Can it run DOOM?” meme to exercise and measure a data stack’s behaviour under unusual workloads. Useful as a reproducible, attention-grabbing stress test for DB/ingest/processing pipelines, it’s the kind of experiment SREs, backend engineers and tech leads can use to validate latency, throughput and operational assumptions.

BadHost" was found in Starlette, a package with 325 million weekly downloads.

A standard format for tracking AI-generated code.

TLDR: In ten days last month, the Wikimedia Foundation fired the longtime lead developer of MediaWiki and disbanded the team whose entire…

Outsourcing plus LocalAI will soon become more economical vs Frontier labs

Blog post announcing Qwen3.7-Max, positioned as an “agent-first” LLM release that emphasizes improved tool use, orchestration, and production-ready agent capabilities. Useful read for engineers evaluating agentic workflows and integrations — it highlights practical trade-offs (tooling, latency, safety/guardrails) that matter when shipping LLM-driven automation in production.

The piece argues that recent Google product and search-ui moves amount to a de facto "war on the web" — redirecting attention and revenue away from independent publishers via AI summaries, search result changes, and other UX shifts. citeturn0reddit12 It frames these changes as causing measurable traffic loss and increased hosting/crawl costs for sites, a concern echoed in analyses of Google’s AI Overviews and their impact on publishers. citeturn0search20turn0search10 For tech leads this is worth sharing: it’s a practical reminder to plan for decreased owned-traffic dependency (RAG/first-party APIs, paywalled or API-first content, caching, and resilient analytics) rather than a purely theoretical rant. citeturn0search7

Greg Wilson’s May 20, 2026 post enumerates twelve common mistakes organisations make when measuring the impact of AI-assisted coding — from counting lines of code and timing toy tasks to treating adoption or acceptance rates as success metrics — and argues these metrics systematically mislead unless studies use proper controls and system-level outcomes. The piece is a concise, evidence-backed critique (with a bibliography of recent studies) urging better experimental design and measurements that account for security, review burden, technical debt, and long-term effects. citeturn0view0

A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows - antoinezambelli/forge

Background For quite some time I had been submitting tasks to LLMs via llama-cli (natively) or llama-server (API), both from the excellent...

Practical deep‑dive showing how Stefano Marinelli uses HAProxy as an edge cache and routing layer in front of many snac instances to “not waste snac threads” — two separate caches (media vs ActivityPub JSON), header cleanup, microcaching (60s for JSON), connection reuse, and simple map-based host routing keep backend work minimal and predictable. Great concrete example for small self‑hosted Fediverse services and reverse‑proxy centric architectures. citeturn1view0

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

Alibaba posted a preview of Qwen 3.7 (tweet linked), signalling another incremental LLM release worth watching for performance and deployment implications. High relevance for engineering teams doing RAG, LLM evaluation, and production integrations — good share for peers who care about model quality, inference cost, and integration trade-offs.

In the context of concerns around young people’s interactions with digital technologies, the UK’s Department for Science, Innovation and Technology is consulting on additional measures to prepare young people for ...

Large language models increasingly need to accumulate and reuse historical information in long-term assistants and agent systems. Simply expanding the context window is costly and often fails to ensure effective context utilization. We propose $δ$-mem, a lightweight memory mechanism that augments a frozen full-attention backbone with a compact online state of associative memory. $δ$-mem compresses past information into a fixed-size state matrix updated by delta-rule learning, and uses its readout to generate low-rank corrections to the backbone's attention computation during generation. With only an $8\times8$ online memory state, $δ$-mem improves the average score to $1.10\times$ that of the frozen backbone and $1.15\times$ that of the strongest non-$δ$-mem memory baseline. It achieves larger gains on memory-heavy benchmarks, reaching $1.31\times$ on MemoryAgentBench and $1.20\times$ on LoCoMo, while largely preserving general capabilities. These results show that effective memory

Every AI lab is losing money serving your company right now. They know it. And they are doing it on purpose.

In my work on Perfetto, a performance debugging tool, one question I get often is: “how do I split a Perfetto trace into multiple files?” Instead of answering directly, I say: “there isn’t an easy way to do that, but what’s leading you to collect traces large enough to want to split?” This is one of my golden rules at work. When a user asks me something “weird”: don’t answer the first version of the question. On the surface this might appear like I’m talking about the XY problem, but that stops one step short. It treats the user’s stated question as a puzzle to decode: figure out what they really meant, answer that, move on. I think we can go much further. Instead, the confusion that produced the wrong question is itself an opening, and the conversation it sparks is valuable to both sides. The user walks away with a better mental model of the tool. I walk away with a clearer picture of where the product confuses people. And sometimes, between us, we figure out that the product itself n

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Practical project showing how the author serves a simple website directly from an 8‑bit AVR microcontroller, implementing a tiny TCP/IP stack and HTTP server within severe memory and CPU limits. It's a technical curiosity that surfaces concrete lessons about constrained networking, protocol trimming, latency/power trade-offs, and where such minimal hosting could make sense (IoT edge, ultra‑low‑power endpoints) — useful for engineers interested in low‑level constraints and self‑hosted edge devices.

This PVLDB 2026 paper shows that moving DBMSs from in-place to out-of-place writes and applying coordinated optimizations (page packing/compression, grouping by “deathtime”, ZNS/FDP alignment, and a NoWA pattern) drastically reduces end-to-end write amplification and extends SSD lifespan; the authors retrofit LeanStore and demonstrate large gains in throughput and flash-write reduction. Their evaluation reports roughly 1.65–2.24× throughput improvement and 6.2–9.8× reduction in flash writes on YCSB, and up to 2.45× throughput with 7.2× fewer flash writes on TPC‑C, plus compatibility with ZNS/FDP interfaces. citeturn0view0