Poolside AI has released the first two models in its Laguna family: Laguna M.1 again Laguna XS.2. Along with this, the company releases lake — a lightweight terminal code agent and dual Agent Client (ACP) server — the same environment Poolside uses internally for RL agent training and testing, now available as a research preview. … Read more
OpenAI just quietly dropped something worth paying attention to. Released from Hugging Face under the Apache 2.0 license, Privacy Filter is an open, bi-directional tokenization model, designed to identify and reconstruct personally identifiable information (PII) in text. It’s small enough to run in a web browser or on a laptop and fast enough for high-end … Read more
import random, numpy as np, torch, torch.nn as nn, torch.nn.functional as F import matplotlib.pyplot as plt from dataclasses import dataclass from typing import Tuple, Dict, List from torch.utils.data import Dataset, DataLoader try: from tqdm.auto import tqdm except Exception: def tqdm(x, **kwargs): return x SEED = 7 random.seed(SEED); np.random.seed(SEED); torch.manual_seed(SEED) if device.type == “cuda”: torch.backends.cudnn.benchmark = … Read more
What if the language model has never heard of the Internet, smartphones, or World War II? That’s not a myth – that’s exactly what the research team led by Nick Levine, David Duvenaud, and Alec Radford. They called it speak upand it may be the largest disciplinary language model ever released to the public. Talkie … Read more
@dataclass class MemoryItem: memory_id: int topic: str entity: str slot: str value: str text: str def build_memory_bank() -> List[MemoryItem]: entities = [ { “entity”: “Astra”, “topic”: “robotics”, “facts”: { “battery”: “18 hours”, “sensor”: “LiDAR”, “country”: “Japan”, “release_year”: “2023”, “specialty”: “warehouse navigation”, }, }, { “entity”: “Orion”, “topic”: “astronomy”, “facts”: { “telescope”: “infrared array”, “country”: “Chile”, … Read more
Microsoft’s fortuitous entry into the OpenAI technology circle has been largely discounted. It is not a divorce or a complete separation. More like that, the most important artificial intelligence partnership is now getting stronger with other clouds. In the field of technology, that’s a big deal. For years, Microsoft’s initial investment in OpenAI helped make … Read more
If you’ve ever watched a motion capture system struggle with human fingers, or seen a segmentation model fail to distinguish between teeth and gums, you’ll understand why it’s hard to see human-centered computing. People aren’t just objects, they come with clear structure, fine details, and great variation in posture, clothing, lighting, and ethnicity. Finding a … Read more
LoRA is widely used to fine-tune large models because it is efficient, but it tacitly assumes that all model updates are the same. In fact, they are not. If you’re singing a style well (like tone, form, or persona), changes are simple and focused on a few dimensions – which LoRA handles well with low-level … Read more
Retrieval is where most RAG systems quietly break down. Native pipelines rely on vector matching—embedding queries and document fragments in the same location and retrieving the same “closest” match. But uniformity is a poor proxy for what we really need: compatibility based on reasoning. In longer, professional documents—such as financial reports, research papers, or legal … Read more
Building an AI agent for voice production is one of the most difficult engineering challenges in machine learning in use today. It’s not just about the accuracy of the transcription. You need a system that can capture the context of an entire five-minute conversation, request external APIs during the call without pausing, recover properly when … Read more