Signal
Intelligence
Have you ever tried keeping up with the AI industry? It's a massive wall of noise. SGNL Intelligence is fixing that using something completely fascinating called GIKE. We send out a literal swarm of AI agents to process every claim in tech, and then a human editor steps into the loop to verify the truth. We don't just summarize the news; we find the signal.
See how GIKE works under the hood →- Your GPU Can Code Now: How Qwen 3.5 Crossed the Local AI Threshold
A model that fits on a single gaming GPU now scores within 2 points of the best commercial coding AI on the hardest benchmark in the field. That sentence would have been absurd six months ago. Qwen 3.5's 35B-A3B achieves 37.8% on SWE-bench Verified Hard at 112 tokens per second on one RTX 3090. The model is ready. The hardware is ready. The software stack? That's where things get interesting.
- The Token Tsunami: Estimating the World's AI Throughput Today and by Year-End
How many tokens is the world generating right now? And how many will it generate once Vera Rubin, MI455X, and the next wave of silicon come online? Nobody publishes a single answer — but by stitching together disclosed data points from OpenAI, Google, Microsoft, NVIDIA benchmarks, and shipping estimates, we can build a rough picture. The numbers suggest the industry is serving roughly 30-50 trillion tokens per day today, with capacity set to grow 10-20x by year-end. Whether demand can keep up is the trillion-dollar question.
- The Anthropic Paradox: $20B Revenue, $380B Valuation, and a Government Trying to Kill It
Anthropic's revenue doubled to $20B ARR in two months while the US government designated it a supply chain risk. An analysis of the paradox between market dominance and political crisis.
- DeepSeek V3.2: The Open-Weight Model That Thinks While It Acts
DeepSeek V3.2 isn't just another model release — it's an architectural statement. At 685 billion parameters under an MIT license, it's the first open-weight model to unify chain-of-thought reasoning with tool-use in a single inference flow. Trained on a novel pipeline spanning 1,800+ simulated environments and 85,000+ agent instructions, V3.2 matches GPT-5 on benchmarks while its high-compute variant, Speciale, surpasses it. Here's the technical breakdown and what it means for the competitive landscape.
- The Agentic Stack: Why the CPU is Reclaiming the Data Center
The era of 'dumb' GPU clusters is ending. As AI shifts from chatbots to autonomous agents, the compute bottleneck moves from matrix math to orchestration. The CPU Pivot is reshaping data center architecture around serial logic, tool-use, and massive context capacity.