Rubric 02
Synapse
The connecting tissue of research, technology and culture.
97Synapse
Small AI Model Learns to Negotiate on One GPU
For years the story about artificial intelligence and negotiation has been a story about scale. The intuition, repeated so often it hardened into common sense, was that only the largest models could hold a conversation,...
↗
98Synapse
Behavior Matching Without Mechanism Recovery in LLMs
A system that produces the right answer for the wrong reason is not a system that understands. This is the oldest problem in evaluation, and it has acquired new urgency now that large language models are deployed as...
↗
99Synapse
When SQL Queries Run But Return Wrong Answers
A database query that returns a clean table of results looks like success. No error message. No exception thrown. The rows appear, the columns align, the numbers populate cells that seem to answer the question that was...
↗
100Synapse
Code That Runs Is Not Code That Works
A benchmark called Spec2Game, described in a paper posted to arXiv, sets out to measure something that most evaluations of large language models quietly skip. 2] The paper's authors put the problem plainly: generating...
↗
101Synapse
LLMs Generate Scientific Laws But Cannot Select Best
Scientific law discovery has always been a human act of judgment as much as a mathematical one. From Kepler's planetary laws to Hubble's law, the compact equations that anchor physics, chemistry, and biology emerged...
↗
102Synapse
DAGO learns which workflows to fuse
Agentic workflows are programs that coordinate large language model calls, external tools, and control flow logic to solve tasks that no single model invocation handles well. When researchers automate the design of...
↗
103Synapse
Deep RL depth scaling breakthrough
For years, reinforcement learning told itself a comfortable story: that its problems were fundamentally harder than those solved by language models or vision systems, that the feedback signal was too sparse and the...
↗
104Synapse
AI Multimodal Misinformation Detection Design Choices
A large scale study set out to make these invisible decisions visible. The researchers ran over 3,375 experiments across three benchmark datasets and a broad range of pre trained vision and language backbones,...
↗
105Synapse
When Advection-Aware Graph Nowcasting Helps Solar Forecasting
Phillip Jiang's paper, submitted to arXiv on September 8, 2026, asks a narrow engineering question: does making the graph advection aware actually help distributed solar ramp forecasting, and if so, when? 1] The answer,...
↗
106Synapse
AI Solves Millennium Math Problems Leaving Mathematicians Behind
At the Heidelberg Laureate Forum in September 2026, the corridors buzzed with a single topic. It was not the usual gossip about which famous researcher had arrived or which elegant proof someone had recently...
↗
107Synapse
AI Collectives Fail To Detect Their Own Imposters
A collective of artificial intelligence agents working together on a problem should, in theory, outperform any single agent operating alone. The premise is straightforward: multiple perspectives, distributed reasoning,...
↗
108Synapse
Fine-Tuning Reshapes AI Alignment Not Just Task Skills
You take a model that has already been trained to be helpful, harmless, and honest. You show it examples of the task you actually want it to perform. It gets better at that task. The alignment work done earlier the...
↗