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Should college be free? what 86 AI models think
We asked 86 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 72% picked No. See every answer, who searched the web, and who dissented.
14 min · 3,121 words
Introducing Glimpse: Visual thinking that stays grounded
Elorian introduces Glimpse, a research-preview visual thinking model that reasons directly with visual evidence: it zooms into regions, rewatches video intervals, tracks objects through motion and uses multimodal tools and subagents. Elorian reports frontier-level multimodal benchmark results at $0.60/$3.00 per million input/output tokens.
12 min · 2,751 words
The one thing every college student is doing wrong: what 83 AI models think
We asked 83 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 37% picked Sleep Deprivation. See every answer and who dissented.
11 min · 2,523 words
Dex Horthy of HumanLayer reruns frontier coding models on the full SlopCodeBench (36 problems, 196 checkpoints), where agents must extend their own code across changing requirements. Strict pass rates ranged 12.2-16.3%, led by gpt-6 Astra, versus 14.8% for gpt-5.5 in May; xhigh effort cost 2-4x more than medium and sometimes scored worse.
8 min · 1,878 words
StarSkirmish Bench v0.2 has flagship LLMs spend one hour in their first-party CLI harness writing a StarCraft: Brood War Protoss bot in C++, scored by win rate against human-written bots. GPT-6 Astra leads, GPT-6.1 Sol offers the best value, and the benchmark shows no signs of saturating.
6 min · 1,365 words
Ultramarine 1 Flash: Scaling Non-Verifiable RL
Paper Instruments presents Ultramarine 1 Flash, an agentic model for professional knowledge work trained with large-scale reinforcement learning on GLM-5.3 Flash. It improves averages across six knowledge-work benchmarks while generating fewer tokens, and costs about $0.13 per task on their internal suite.
32 min · 7,459 words
What is the price of Bitcoin right now? what 81 AI models think
We asked 81 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 54% picked Around $76K. See every answer and who dissented.
9 min · 2,114 words
Zach Landes puts TypeSafe's Jev and 13 other decision models through the classic Trolley Problem, comparing how system-one style decision models reason about harm, uncertainty and moral tradeoffs versus conventional chat LLMs.
21 min · 4,916 words
Oxford or Cambridge? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 68% picked Oxford. See every answer, who searched the web, and who dissented.
13 min · 3,008 words
Dan Luu argues that as it becomes easier to make real performance gains, it also becomes easier to game benchmarks with fake ones, surveying how reward-hacking shows up across regex, web servers, terminals, and other systems, and what to watch for when reading performance claims.
17 min · 3,940 words
GLM-Legal: Advancing Agentic Legal Intelligence
Z.ai introduces GLM-Legal, a legal agent model built on GLM-5.3-Flash that scores a 19.2% all-pass rate on Harvey's Legal Agent Benchmark (12.5 points above its base model) and matches frontier models on LegalBench and PLawBench, and explains its mid-training, harness co-evolution and production feedback loops, with example legal workflows and a beta signup.
7 min · 1,533 words
Is it okay to skip class if the lectures are recorded? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 88% picked No. See every answer, who searched the web, and who dissented.
11 min · 2,466 words
C vs C#: racing VLC's Gaussian blur
Martin Finkel ports a real VLC video filter, the Gaussian blur, line by line to C# with .NET Native AOT and races it against the original C inside VLC 4 on the same frames with byte-identical output, then optimizes both sides and compares again.
9 min · 2,060 words
DeepRSI: evaluating agents on long-horizon tasks derived from real ML research
Hillclimb introduces DeepRSI, a benchmark of 15 open-ended machine learning problems, spanning deep learning training, GPU kernel speedups, estimator improvement and algorithm optimization, that measures how far an AI agent can improve a baseline over 48 hours. It describes the methodology with public and private verifiers, Elo rankings of frontier models, and what the results suggest for recursive self-improvement.
8 min · 1,848 words
Parsing JSON at tens of gigabytes per second… in Python
Daniel Lemire benchmarks JSON parsing on free-threaded Python 3.14 using eight hours of GH Archive events (7.6 GB), comparing the standard json module, orjson, msgspec and his fastsimdjson library across up to 64 threads, and shows Python can reach tens of gigabytes per second.
3 min · 789 words
Will humans land on Mars before 2035? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 86% picked No. See every answer, who searched the web, and who dissented.
12 min · 2,813 words
Two Hills: Weights and Harnesses
Part 1 of an LLM agent evaluation series: when a model system is not good enough, you face two hills—improving model weights versus improving the harness around the model—and how to choose where to invest.
6 min · 1,328 words
Taylor Swift or Beyoncé? what 83 AI models think
We asked 83 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 89% picked Beyoncé. See every answer, who searched the web, and who dissented.
10 min · 2,392 words
Which programming language should a beginner learn in 2026? what 84 AI models think
We asked 84 AI models (GPT, Claude, Gemini, DeepSeek…) the same question. 100% picked Python. See every answer, who searched the web, and who dissented.
9 min · 2,175 words
Microsoft-Decision-1: Our model for fast decision-making
Microsoft introduces Microsoft-Decision-1, a decision-scoring model in Foundry built to return structured outputs software can act on immediately, and reports that it leads on latency and quality across structured decision tasks against LLMs and other decision models.
6 min · 1,358 words