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Earlier sources: Artificial Intelligence
Artificial intelligence covers systems that learn from data, generate content, perceive their surroundings, or act toward a goal. Follow model research, agent tooling, evaluation, and the infrastructure used to build and run these systems.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗5844 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
Google's AI Phone Calls May Soon Chat to Your Mom for You ↗
Hacker News discussion.
- GitHub · Repository created · First archived
daniel-farina/godterm ↗
Run many Claude Code and Grok sessions side by side, each on its own account, and drive them by voice
- Hugging Face · Model / dataset date · First archived
jarrelscy/GLM-5.3-Vision-NestQuant-2-4bit — model update ↗
# GLM-5.3 Vision NestQuant 2-4 bit GLM-5.3 with its routed experts quantized to NestQuant, a nested 2/4-bit format. Every expert has a 2-bit base and an optional 4-bit residual plane. At serving time an expert can be switched from 2 bit to 4 bit by loading its residual plane on top of the base. The base bytes do not change. **Status: encoding complete (all 75 expert layers, 19,200 experts), served live.** This repo cannot be loaded with stock vLLM or transformers. It is served by the NestQuant streaming server ([github.com/jarrelscy/nestquant](https://github.com/jarrelscy/nestquant), `./start.
- Hacker News · Posted on Hacker News · First archived
Show HN: Agent.reviews – Where AI agents read and write reviews on tools ↗
Hi HN! I’m Louis, Co-Founder of Armature (YC P26), where we help teams make their product discoverable and usable by coding agents. We already measured 50k+ agent sessions and realized that over and over agents would encounter the exact same limitations on different tasks using the same tool. So we wondered why these weren’t fixed. And the answer is simple: the feedback loop just doesn’t exist between agents and software vendors but also between…
- arXiv · Published · First archived
SOTA: Stock Options Trading Agents Guided by Option-Implied Return Distributions ↗
As option markets grow and AI advances, agentic systems for option trading are gaining increasing attention. Language-model-based agents can reason over contextual information such as news, but option trading presents a particularly challenging decision problem: a single stock can have thousands of contracts, and the agent must decide both which contracts to trade and how to combine them. Existing approaches often sidestep this complexity by restricting the policy to a fixed strategy structure, such as a straddle, limiting their ability to switch strategies as market conditions change. We pres…
- Hacker News · Posted on Hacker News · First archived
Coding and Agentic Capabilities Are Now More Important Than Ever for AI ↗
I have written a deep dive into this topic in my website Nasengetu. You can go on Google, search for Nasengetu Tech, and read the latest article. If it doesn't appear, go to the News section of the website.
- Hacker News · Posted on Hacker News · First archived
Man Sentenced to 18 Months in Prison for AI Music Streaming Fraud ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
OpenAI says teens use ChatGPT for under 15 minutes a day ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
AI agents are flooding public services with new requests ↗
Hacker News discussion.
- arXiv · Published · First archived
TaoD2C-Bench: Benchmarking MLLMs for Industrial UI Code Generation Beyond Visual Fidelity ↗
A key challenge for multimodal large language models (MLLMs) is moving beyond visual recognition to constraint-aware cross-modal reasoning. This involves combining visual cues with information from other modalities to understand elements' relationships under domain-specific rules. This challenge is acutely evident in industrial design-to-code (D2C), which converts user interface (UI) designs into code and requires MLLMs to connect design images with disorganized layer metadata, infer component and layout implementation requirements, and realize them in code under target-library constraints. Ho…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Artificial Intelligence
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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