Interesting safety paper from Microsoft. They find that a weaker, unaligned model can split a harmful task into harmless-looking subquestions, ask an aligned frontier model each one in a separate session, and combine the answers locally. The authors call this capability laundering. Each request passes on its own, because no single answer from the frontier model is a harmful task. They tested GPT-5.5, Claude Opus 4.8 and Grok-4.3 as the consulted models. On CyBench, Gemma-4-31B recovered 8 of 14 tasks it failed alone when it consulted GPT-5.5. On a CBRN attack chain, consultation raised its mean rubric score from 62.3 to 83.1. Paper:

Goodfire CEO @eric_ho breaks down the alignment stack: Level 1 is monitoring the model, Level 2 is debugging training data, Level 3 is steering training itself, the open problem "Both OpenAI and Anthropic in their model cards have activation-based classifiers for cyber, bio, and CBRNE risk. You attach a monitor directly in the mind of a model, and if it detects you're about to hack, you can tell the model to stop." "That's the most naive alignment solution: monitor the model to make sure it's not doing anything bad. The next step up is debugging data. How do you take a data set and try to predict what the model will learn? The goal is to filter out the bad things and help increase the good things." "The hardest part is steering and guiding training. How do you actually influence the backwards pass of the model such that you only take the good lessons and remove all of the bad lessons so we can make the model learn the right thing for the right reasons? This is an open problem. This is intentional design, and this is what we're focusing all our resources to solve." @GoodfireAI

TL;DR: Just three weeks after Gemini 3.6 Flash, Google drops 3.7 Flash — major gains across coding and agent benchmarks, at half the price during the intro period. Introducing Gemini 3.7 Flash Highlights: 🚀 DeepSWE v1.1: 65.3% (up from 49.0%, +16.3pt vs 3.6 Flash) 🖥 FrontierCode 1.1: 43.6% (up from 34.4%, +9.2pt) 🌐 WebDev Arena Elo: 1588 (up from 1538, +50) 📄 GDP.pdf document comprehension: 34.0% (up from 22.0%, +12.0pt) 🤖 AutomationBench: 30.4% (up from 17.0%, ~1.8x improvement) 💰 Intro pricing: $0.75 input / $3.75 output per 1M tokens — half the cost of 3.6 Flash 🌍 Available via Gemini API, AI Studio, Android Studio, Gemini Enterprise, and Gemini Spark in 160+ countries 🛡 Updated Frontier Safety safeguards against CBRN and cybersecurity misuse Sharpened for agents and coding, it's already earning "significantly better" feedback from Box, Databricks, Harvey, and LangChain in real-world production workflows. An update at this quality level every three weeks — the Flash release cadence is relentless. #Gemini# #LLM#

Solid move from the Yield Fields team. Clearing out the Founding Deed collection through a public Dutch auction was already a decent result. Following that up by handing 5,000 Mini Deeds to the community for nothing is the part actually worth paying attention to. Each one carries a starter plot of land, which lets a lot more people get in early rather than being priced out. For anyone who hasn't seen it, Yield Fields is a cozy farming game from the Onchain Heroes team. The loop is straightforward: rip packs, plant crops, harvest whatever grows. Getting involved is simple. Hold an active position on Robinhood Chain and that's it, one per wallet, read straight at the snapshot. Nothing to pay beyond standard gas, and nothing gets moved or locked along the way. It runs until supply is gone or the timer ends, whichever happens first. Anything still sitting there afterward rolls into the public pool. Credit where it's due, full details are in the linked post. #hsLcrO# @johndoe14878 @Wika_DPortgas @QuantumJackson @rafael_macana @gamanoleggg @Geovelis1 @dInhToan30051 @Khalma79 @ivanmorozov10 @uniquewild @CryptoCaligh @MfersGif @neeeiillooo @zeromvx @GOODKID79196484 @prolll1 @robmadd81332095 @thuybgh @Rodneybrokercar @g2xynta @JoelAlcala39775 @burakuznn1 @Gotika888 @basedeliox_ @mineworldtoshi @me_moein @rosalinn1992 @tingjiang918 @0xiulia @Ariyannnns @Manuf15up7 @CbrNomad @SpyridonAgusH @Sircookk @Still_Ayengel @iki_du @Xinsows @niggadevfun @BabiSuraba23998 @PAIN_2410 @lo_moo5 @GencoStyle20 @eueeueeueeueu @shenvol @thelord212 @chetanbtc23 @caishen167 @JYEN91 @wangdahai666 @zcsq168