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@laura_garcia shared a post, 3 weeks ago
Software Developer, RELIANOID

We’re excited to take part in The Elephant In AppSec Conference 2026 🐘🔐

📅 January 14–15, 2026 🌐 Virtual Event An AppSec event where strong opinions are encouraged, assumptions are challenged, and real-world experience takes center stage. Looking forward to engaging in honest conversations and sharing how RELIANOID supports modern Application Security through secure appl..

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@laura_garcia shared a post, 3 weeks, 1 day ago
Software Developer, RELIANOID

Cybersecurity in Maritime: The Quiet Threat Persisting Throughout the Entire Lifecycle of a Ship 🚢⚓️🔐

The maritime sector is becoming increasingly digital — and with it comes a growing, often invisible, threat: cybersecurity vulnerabilities that affect vessels from the blueprint stage to decommissioning. 📍 From compromised ECDIS systems to insecure OTA updates and neglected end-of-life data handling..

Blog Maritime Cybersecurity
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@mashka shared a link, 3 weeks, 1 day ago
Paid Acquisition and Growth Marketing, xygeni

Software Supply Chains Under Pressure: What Malware and AI Changed in 2025 and what to Expect in 2026

2025 exposed a shift in software supply chain attacks. AI-assisted malware, self-propagating techniques, and widespread trust abuse altered how compromises spread across dependencies, registries, and CI/CD pipelines.

This upcoming LinkedIn Live SafeDev Talk examines what truly changed, why long-held security assumptions are breaking down, and what development teams need to rethink as they head into 2026.

📅 January 20th | ⏰ Time: 𝟏𝟔:𝟑𝟎 (𝐂𝐄𝐒𝐓)/𝟏𝟎:𝟑𝟎 (𝐄𝐃𝐓)

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SafeDev Talk 1 2026 - Yearly Recap (4)
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@eon01 shared a link, 3 weeks, 3 days ago
Founder, FAUN.dev

2025 Internet Trends

Cloudflare just released its 2025 Radar Year in Review, a systems report on how the Internet actually behaved last year. A few things stood out in my opinion: 👉 Most AI systems take far more than they give back. AI bots now account for a meaningful slice of web traffic. Googlebot alone generates mor.. read more  

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@varbear shared a link, 3 weeks, 3 days ago
FAUN.dev()

Stop Forwarding Errors, Start Designing Them

A fresh take on Rust error handling just dropped - and it's calling out the usual suspects. Forget blindly forwarding errors withanyhowor smearing context around withProvider. This approach pushes forstructured, intent-driven error types- errors that say what to do next (like "retry this") instead o.. read more  

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@varbear shared a link, 3 weeks, 3 days ago
FAUN.dev()

Distinguishing yourself early in your career as a developer

A seasoned dev maps the job market into three tiers:local/public companies,VC-backed/startups, andBig Tech/finance. Each step up brings more money, more competition, and a steeper climb. Category 3(Big Tech/finance): Highest salaries. Broadest interview access. Brutal prep required. Category 2(start.. read more  

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@varbear shared a link, 3 weeks, 3 days ago
FAUN.dev()

The Code Review That Cost $2 Million, CodeGood

New data shows only15% of code review comments catch real bugs. The rest? Nitpicks on style, naming, or formatting - stuff linters and AI were made to handle. Human reviews burn through$3.6M a yearin larger orgs and still miss the tough stuff: threading issues, system integration bugs, rare edge cas.. read more  

INTELLECT-3 is a frontier-class 100B+ Mixture-of-Experts language model developed by Prime Intellect and trained end-to-end using their large-scale asynchronous RL framework, PRIME-RL. Built on the GLM-4.5-Air base model, INTELLECT-3 combines supervised fine-tuning with long-horizon reinforcement learning across hundreds of verifier-backed environments spanning math, code, science, logic, and agentic tasks.

The model was trained on a high-performance cluster of 512 NVIDIA H200 GPUs across 64 nodes, supported by Prime Intellect’s Sandboxes execution engine, deterministic compute orchestration, and Lustre-backed distributed storage. The result is a model that surpasses many larger systems in reasoning benchmarks while remaining fully open-source.

Prime Intellect released not only the model weights but also the full training recipe: PRIME-RL, Verifiers, the Environments Hub, datasets, and evaluation suites. INTELLECT-3 is positioned as a foundation for organizations seeking to post-train or customize their own frontier-grade models without relying on proprietary AI labs.