Local Qwen Models Dominate Coding, Trading Speed for Privacy
Today, a Hacker News thread asked a simple question : “Has anyone replaced Claude/GPT with a local model for daily coding?” 500+ comments later, a clear picture emerged of the local coding stack. Qwen 3.6 35B-A3B dominates model mentions at 33%, followed by the 27B variant at 20%. DeepSeek Pro & Gemma4 31B round out the top four. The common thread : mixture-of-experts architectures that run fast on consumer hardware. On the agent side, Pi leads at 49% with OpenCode close behind at 45%. Both are lightweight harnesses designed for local inference. The thread surfaced a fascinating tradeoff. One commenter captured it perfectly : Comparing agentic Qwen3.6 35b to Claude Opus is like a junior with knowledge across the board, that you really need to guide, versus a senior that thinks with you on architecture. If Opus gives a 15x speedup, local and fully offline Qwen gives a 5x speedup. But for many, the tradeoff is worth it. Privacy, zero cost, & complete offline capability matter. Given that it’s completely free, is still mind-boggling to me. The local coding stack is maturing fast. Qwen 3.6 35B-A3B has become the de facto standard & Pi the leading harness. The benchmark data backs up the sentiment. Qwen3.6 27B scores 77.2% & the MoE variant, Qwen3.6 35B-A3B, hits 73.4%. These two local models are within spitting distance of Claude Sonnet 4.6 (79.6%). This is the minimill pattern playing out in real time. It’s not just for CRM updates & web research. The current generation of local models is good enough for reasonable coding tasks.
Musk’s Low Cost of Capital Powers SpaceX IPO
SpaceX IPOs today. One hallmark of the largest IPO in history : Elon Musk’s astoundingly low cost of capital. Despite raising 25x more than the typical founder, Musk retained ownership in the top decile. Some founders raise $2m for an idea....
Fable Sets New AI Performance Ceiling with Strong Guardrails
We’ve reached the upper bound of AI. Not in the sense that performance won’t improve. On the contrary, AI will improve AI. But Anthropic’s Fable release has imposed a glass ceiling. How do you release the most powerful model in the world...
AI Buyers Cut Costs by Switching to Open-Source Models
Three forces are reshaping the AI cost structure : 1. Foundation labs are moving up the stack into applications ; 2. Frontier model prices keep rising for the smartest models ; 3. Open-source models have crossed the good enough threshold...
Open-Weight Models Claim 69% of OpenRouter Traffic
Open-weight models have overtaken closed models on OpenRouter. 69.1% of token volume now goes to open-weight models. 30.9% to closed. Competition is a discovery procedure — and developers are discovering the value of open models. 🧵 https://t.co/9ZOLA6llvZ
From SaaS to AI Harness: Seven Steps to Domesticate Intelligence
The end of the software era is the beginning of the harness era. AI outmoded SaaS managed databases with fixed workflows with intelligence. Like a mustang, AI is powerful but wild. Harnessing the power means domestication. There are seven parts...
Headless CRM Works, but E‑commerce Still Needs Rich UI
Salesforce just went headless. Sales reps can update deals without ever logging in. But AirBNB's CEO Chesky says the real story is richer: "Imagine using iMessage to do everything, when in fact every other app has a unique interface...With e-commerce, you want...
AI Powers Headless, Dynamic UIs Beyond Markdown
Salesforce has gone headless : a sales person can update their deal sheet without ever logging into salesforce.com through AI. Many companies are following suit with MCPs. English as an interface to complex systems is a tremendous innovation. And yet,...
Subsidy Era Ends; AI Pricing Data Shows Shift
The subsidy era is over. 🧵 Three years of AI pricing data tells the story.
2026 Theory GTM Survey Probes AI's Impact on Sales Teams
It's time for the 2026 Theory GTM Survey. This year we're testing 5 hypotheses : 1. Augmented reps outperform autonomous AI & unaugmented humans 2. AI is widening the gap between top & bottom GTM teams 3. Buyer-side AI is the bigger disruptor than...
Half My Work Runs 2× Faster Locally
Localmaxxing : pushing more inference to local models. Over five weeks, I tested how much of my daily work can run on a local 35B model instead of cloud frontier models. The answer : half. Many reasons to use local models :...
When Attackers Use AI, Defenders Must Too
Enterprises run on AI agents. So do the attackers. What does it mean to build, secure, and operate AI systems when both sides - defenders and attackers - are automated? Jonathan Jaffe, CISO at Lemonade, is one of the most...
Credit Spreads Vary 42x Across Data Center Firms
The credit market is the harshest judge of risk. Looking at credit default swaps of data center companies, a few things stand out: • The market is starting to believe there is less risk (although still very high) for Nebius and CoreWeave...
Ads Can Fund Trillion‑Parameter AI Models
One search ad every 40 minutes pays for a trillion-parameter model. One content ad every 3 minutes does the same. The math on ad-supported AI is better than you think. When Anthropic pulled Claude Code from the $20 plan last month,...
AI Accelerates Real-World Breakthroughs in Health, Education, Agriculture
I remember growing up reading Sports Illustrated. There was a small column called “This Week’s Sign the Apocalypse Is Upon Us.” With all the dire predictions about AI, it’s important to also spend time recognizing the tremendous pace of innovation &...