Tag: Open Source
-
GGUF vs GPTQ vs AWQ: Which Quantization to Use
GGUF, GPTQ, AWQ, NF4, FP8 and MXFP4 solve different problems. How each format works, where each one wins, and which fits your deployment.
-
Ghost Vectors: Deleted Embeddings Stay Recoverable
Researchers tested three vector databases and found deleted embeddings stay intact on disk, recoverable at rates that break GDPR and HIPAA.
-
How Model Merging Actually Combines Separate LLMs
Some top open-weight models are merged, not trained. The math behind task vectors, TIES, DARE, and why the technique works at all.
-
How Mixture-of-Experts Actually Routes Every Token
DeepSeek V4 holds 1.6 trillion parameters and uses a fraction per token. The routing math, why naive versions collapse, and the modern fix.
-
Why R Still Beats Python in Clinical Biostatistics
SAS still dominates regulatory submissions, but R runs the survival models, mixed-effects analysis, and increasingly the FDA-facing tables behind it.
-
ONNX Explained: How One Format Runs Any AI Model
ONNX lets a model trained in PyTorch run on a phone, browser, or edge chip without rewriting it. The graph, the opset system, and where conversions break.
-
NeuroGolf 2026: Kaggle’s Race to Build the Tiniest AI
A Kaggle contest that closed today scores neural networks by size, not accuracy. Here is the formula, the constraints, and what teams built to win.
-
The Anchor Problem in AI Agent Delegation Chains
OAuth anchors one-hop agent delegation. At the third hop, no deployed protocol can prove which human authorized the action. Inside the 2026 standards race.
-
LoRA and QLoRA: Fine-Tuning Large Models on One GPU
LoRA fine-tunes 70B models on one GPU using low-rank weight updates. The intrinsic dimension proof, rsLoRA scaling fix, and where LoRA falls short.
-
Generative AI for Small Molecule Drug Discovery: How It Works and What the Evidence Shows
Generative AI is producing novel molecules from VAEs, GANs, and diffusion models. Machine learning virtual screening shows 75% hit validation rates against 106M-compound libraries. Why no AI-designed drug…
-
RFdiffusion and ProteinMPNN: How AI Now Designs Proteins From Scratch
RFdiffusion generates protein backbones. ProteinMPNN designs the sequences that fold into them. Together they achieved sub-Angstrom accuracy at influenza binding interfaces. How the two-step pipeline works, why AI-generative…
-
Evo 2: The Genomic Foundation Model Trained on 9.3 Trillion DNA Bases
Evo 2 from Arc Institute is a 40B-parameter genomic foundation model trained on 9.3 trillion DNA bases spanning all domains of life. How the 128K context architecture works,…
-
ESM3: The Protein Language Model That Unifies Sequence, Structure and Function
ESM3 from EvolutionaryScale is a 98B-parameter generative protein language model that reasons across sequence, structure, and function simultaneously. How the VQ-VAE structural tokenization works, what the GFP design…
-
How Stalkerware Bypasses End-to-End Encryption
Stalkerware captured 86,859 screenshots from a celebrity’s phone, including WhatsApp messages. Here is how it defeats encryption and what you can do about it.
-
MiniMax M2.7 Optimized Its Own Training Harness 100 Times. Here Is the Loop.
MiniMax M2.7 ran an internal agent that modified its own training scaffold 100 times in a row without human input and gained 30% on internal evaluations. Here is…
-
WebMCP Is Not MCP: What Chrome’s modelContext Actually Ships
Chrome 146 shipped navigator.modelContext in February. It looks like MCP in a browser. It is not. Wire protocol, auth model, and security all differ.
-
Open-Weight LLM Rankings, April 2026: MMLU Is Saturated, Here’s What to Use Instead
MMLU is saturated. In April 2026, the metrics that matter are SWE-bench Verified, GPQA Diamond, and RULER’s effective context window. Chinese labs hold 4 of the top 5…
-
SmolVM: Firecracker-Backed MicroVM Sandbox for AI Agent Code Execution
SmolVM gives AI agents a hardware-isolated disposable VM using Firecracker. Here’s why Docker containers are the wrong sandbox for LLM-generated code, how the snapshot-fork pattern works, and how…
-
Bitwarden CLI Was a Supply Chain Bomb. Checkmarx Lit the Fuse.
The Checkmarx supply chain breach reached Bitwarden’s CLI in 93 minutes on April 22. Here’s how bw1.js stole CI/CD secrets and why security-tool supply chains fail in the…
-
LMDeploy CVE-2026-33626: SSRF Weaponized in 13 Hours
LMDeploy SSRF bug CVE-2026-33626 was exploited 13 hours post-disclosure. Full attack chain, AWS credential blast radius, and why AI inference servers are unusually dangerous SSRF targets.
You must be logged in to post a comment.