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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 ↗5330 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.
- OpenAlex · Published · First archived
Hybrid rank fusion of a group-token transformer with gradient boosting improves detection of evasive and novel-family malware ↗
Static machine-learning malware detectors report near-perfect closed-set accuracy, but the malware that matters operationally is the malware that slips past detection and the malware that belongs to families never seen in training. We study both on three longitudinal benchmarks: EMBER2024 (3.2 M Windows, .NET, APK, ELF and PDF files, 52 training weeks and 12 test weeks, plus a challenge set of 6,315 files that evaded every antivirus engine at first sight), LAMDA (1.0 M Android applications, 2013–2025, with an IID/NEAR/FAR drift protocol) and BODMAS (134 K PE files, 2019–2020, monthly evaluatio…
- OpenAlex · Published · First archived
ConSolv: Solvent-Conditional Machine Learning Implicit Solvent Potential ↗
Abstract Implicit solvent machine learning potentials (MLPs) offer a powerful route to bridging the gap between accuracy and efficiency in molecular simulations. However, existing models have largely focused on aqueous environments, overlooking the diverse and important roles of nonaqueous solvents in areas such as organic synthesis and battery technology. Here, we present ConSolv, a solvent-conditional MLP architecture that explicitly incorporates solvent effects on solute interactions through an attention-based solvent embedding block. By combining experimental solvation free energy data wit…
- Hacker News · Posted on Hacker News · First archived
Show HN: Plimsoll, a self-hosted sandbox for code your AI agent writes ↗
Hacker News discussion.
- GitHub · Repository created · First archived
gustavomenani/editing-gameplay-montages ↗
Skill open source do Claude Code que transforma clipes de Valorant/FPS e uma música num edit no beat para TikTok: kills no beat, slow motion com RIFE, transições, letra na tela. Tutorial em português.
- Hugging Face · Model / dataset date · First archived
trommatic/samantha-hands-1.5b-mlx — model update ↗
# Samantha hands (GGUF) This is the portable 0.5B picker for Windows and Linux. The 1.5B picker that Mac users get in Turing 5.0 is at [trommatic/samantha-hands-1.5b-mlx](https://huggingface.co/trommatic/samantha-hands-1.5b-mlx). Samantha's tool picker from [Turing](https://github.com/nulljosh/turing) v5.11.0: a LoRA on Qwen2.5-0.5B-Instruct, fused and quantized to Q8_0 GGUF. Given a request in plain words, she picks which of her tools to run and with what arguments. Built and trained on one Mac Mini. Live demo: [turing.heyitsmejosh.com](https://turing.heyitsmejosh.com). ## Run it One line on
- Hacker News · Posted on Hacker News · First archived
AI is less regulated than milk, says Microsoft president ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
yimn-Aghosh/zegrate-ai — model update ↗
# Zegrate AI — Phase 2 (DoRA fine-tune of Qwen2.5-14B-Instruct) Zegrate is an open conversational AI with a humor-first personality, trained in phases on a single GPU. This repo hosts the **Phase 1 merged base model** (root `model-*.safetensors`) plus rolling **Phase 2 DoRA adapters** under `checkpoint-*/`. ## Model details - **Base:** Qwen/Qwen2.5-14B-Instruct - **Method:** 4-bit QLoRA + DoRA, adamw_8bit, gradient checkpointing - **Data:** multi-shard curated conversational data with humor emphasis (39k steps, 8 shards) - **Context:** 32k tokens - **Status:** Phase 2 training in progress — ad
- Hacker News · Posted on Hacker News · First archived
Calculate your p[DOOM], An interactive article to think critically about AI risk ↗
Hacker News discussion.
- Hugging Face · Model / dataset date · First archived
agurung/cobalt-seeded-rl-base-ramp25-stoppen-gen4k-ep2-ncp5-n3nc-base-s2 — model update ↗
# seeded_rl_base_ramp25_stoppen_gen4k_ep2_ncp5_n3nc_base_s2 — RL checkpoint (global step 104) **Role in this run:** best by pass@8 ## What it is An **OpenRLHF GRPO** reinforcement-learning checkpoint for Qwen3-4B. - Base model: `Qwen/Qwen3-4B-Instruct-2507` - Seeded from: base Qwen3-4B (no SFT seed — RL applied directly to the base model) - Saved at global step 104 of RL run `seeded_rl_base_ramp25_stoppen_gen4k_ep2_ncp5_n3nc_base_s2`. ## What it's best at - This is the **best checkpoint by pass@8** so far in this run. Trained and validated on the **cobalt-train ≤2/64 frontier** (canonical clea
- Hacker News · Posted on Hacker News · First archived
Show HN: Shpyrd – A new type of cloud for AI era ↗
Hacker News discussion.
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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