Insights, guides, and practical breakdowns on compliance, cybersecurity, and digital transformation.
We rounded up 35 standout self-hosted projects on GitHub. Here are the six that deserve your attention right now: TaskView, ConvertX, Work-Review, relaticle, postlab, and rejourney.
Local AI has crossed a critical threshold in 2026. This breakdown compares costs, capabilities, privacy, and real-world performance of local vs cloud AI — and explains why the smartest strategy is a hybrid approach.
DeepReinforce's Ornith 1.0 introduces self-scaffolding LLMs for agentic coding — models that learn to write their own reinforcement learning harnesses. With a 397B MoE matching Claude Opus 4.7 on SWE-Bench and a 9B variant outperforming models 3x its size, this is a paradigm shift for open-source AI development.
Gartner named multi-agent systems a top strategic trend for 2026. With 327% growth in enterprise adoption and predictions that 15% of daily decisions will be made autonomously by 2028, here's what CTOs need to know.
Skip the Python stack, API keys, and Docker setup. Web Agent runs a self-learning AI agent natively in your browser with zero install—here's how it works.
AionUI gives Hermes Agent a visual desktop interface—1.6M+ developers are already using this free AI coworker stack. Here's what it adds to your workflow.
For years, bigger was better in AI. Now smaller models trained on quality data are outperforming trillion-parameter giants—and they run on your phone.
You're monitoring for attacks. But what if your own AI is manufacturing them? The 2026 incident reports that started as false alarms—until they weren't.
Stadler Rail refused a $12.3 million ransom demand from the Everest ransomware gang after attackers compromised a supplier data platform. The Swiss manufacturer confirmed no safety-critical or personal data was stolen, kept production running, and filed a criminal complaint.
The most powerful AI models on earth are about to hit a new kind of wall. Not a compute wall. Not a data wall. A government wall. By August 1, the White House is expected to finalize a voluntary framework giving federal agencies up to 30 days to review any frontier AI model before public release.
Alibaba previews Qwen3.8-Max (2.4T params) claiming second only to Fable 5. But with no open weights, no benchmarks, and a pattern of going Max-first — is this a real release or a positioning play?
When the US restricted Claude Fable 5, Zhipu AI released GLM-5.2 under MIT license. The open-weights era is no longer theoretical.
An anonymous HTTP request can take over a WordPress site. Two core flaws chain into unauthenticated RCE. Patches are out. Here's what to do.
The UAE's Child Digital Safety Law introduces sweeping obligations for digital platforms and ISPs. With full compliance required by January 2027, here's your actionable checklist.
We rounded up 35 standout self-hosted projects on GitHub. Here are the six that deserve your attention right now: TaskView, ConvertX, Work-Review, relaticle, postlab, and rejourney.
Local AI has crossed a critical threshold in 2026. This breakdown compares costs, capabilities, privacy, and real-world performance of local vs cloud AI — and explains why the smartest strategy is a hybrid approach.
WeiboAI's VibeThinker 3B matches DeepSeek V3.2 on mathematical reasoning, scores 94.3% on AIME 2026, and achieves 80.2% LiveCodeBench — all at just 3 billion parameters and a $7,800 training cost. Here's how the Spectrum-to-Signal pipeline redefines what compact open-source reasoning models can achieve.
Salvatore Sanfilippo (creator of Redis) built ds4 — an inference engine that runs DeepSeek V4 Flash (284B params, 13B active) on a MacBook with 128GB RAM. Custom 2-bit quantization, 1M-token context, zero per-token cost. Here's how it works and why it changes everything.
DeepReinforce's Ornith 1.0 introduces self-scaffolding LLMs for agentic coding — models that learn to write their own reinforcement learning harnesses. With a 397B MoE matching Claude Opus 4.7 on SWE-Bench and a 9B variant outperforming models 3x its size, this is a paradigm shift for open-source AI development.
