AI

class QwenChat: def __init__(self, model, processor, system=None, tools=None): self.model, self.processor = model, processor self.tokenizer = processor.tokenizer self.history: list[dict] = [] if system: self.history.append({“role”: “system”, “content”: system}) self.tools = tools def user(self, content): self.history.append({“role”:”user”,”content”:content}); return self def assistant(self, content, reasoning=””): m = {“role”:”assistant”,”content”:content} if reasoning: m[“reasoning_content”] = reasoning self.history.append(m); return self def tool_result(self, name, result): self.history.append({“role”:”tool”,”name”:name, … Read more

import subprocess, sys, os, shutil, glob def pip_install(args): subprocess.run([sys.executable, “-m”, “pip”, “install”, “-q”, *args], check=True) pip_install([“huggingface_hub>=0.26,<1.0”]) pip_install([ “-U”, “transformers>=4.49,<4.57”, “accelerate>=0.33.0”, “bitsandbytes>=0.43.0”, “peft>=0.11.0”, “datasets>=2.20.0,<3.0”, “sentence-transformers>=3.0.0,<4.0”, “faiss-cpu”, ]) for p in glob.glob(os.path.expanduser( “~/.cache/huggingface/modules/transformers_modules/microsoft/Phi-4*”)): shutil.rmtree(p, ignore_errors=True) for _m in list(sys.modules): if _m.startswith((“transformers”, “huggingface_hub”, “tokenizers”, “accelerate”, “peft”, “datasets”, “sentence_transformers”)): del sys.modules[_m] import json, re, textwrap, warnings, torch warnings.filterwarnings(“ignore”) from … Read more

Cybersecurity has always had a dual use problem: the same technical knowledge that helps defenders detect vulnerabilities can also help attackers exploit. In AI systems, that tension is sharper than ever. Restrictions intended to prevent harm have historically caused conflict in the fiduciary duty of security, and it can be really difficult to say whether … Read more

It’s a scary and exciting concept: the possibility that aging may not be the inevitable end of humanity, as it was thought. It seemed like the kind of thing that only exists in science fiction and flying cars and teleportation in the foreseeable future. Now, we have a new and rapidly growing tool to do … Read more

For years, the way major language models handle inference has been stuck inside the box – literally. The high-bandwidth RDMA networks that enable modern LLM deployments cover both prefill and trim in the same data area, sometimes even the same rack. A team of researchers at Moonshot AI and Tsinghua University make the case that … Read more

Anthropic has never published a technical paper on the Claude Mythos. That hasn’t stopped the research community from theorizing. A new open source project called OpenMythosreleased on GitHub by Kye Gomezit attempts something ambitious: a first-principles theoretical reconstruction of what the Claude Mythos might be, built entirely on PyTorch and based on peer-reviewed research. The … Read more

!pip install magika openai -q import os, io, json, zipfile, textwrap, hashlib, tempfile, getpass from pathlib import Path from collections import Counter from magika import Magika from magika.types import MagikaResult, PredictionMode from openai import OpenAI print(“🔑 Enter your OpenAI API key (input is hidden):”) api_key = getpass.getpass(“OpenAI API Key: “) client = OpenAI(api_key=api_key) try: client.models.list() … Read more

Developers use Code Claude as an advanced auto-completion system. They open a file, type in information, and hope for the best. The program produces decent output that sometimes reaches high quality. The output shows inconsistent results. The system loses track of context and repeats its initial mistakes. The solution requires more systematic projectnot i more … Read more

Quantum Computing has spent years living in the future. Hardware has advanced, research has converged, and business dollars have followed — but the gap between a quantum processor working in the lab and one running a real-world application remains stubbornly wide. NVIDIA has moved to close that gap with the launch of the NVIDIA Egthe … Read more

Elon Musk’s AI company xAI has launched two independent audio APIs – Speech-to-Text (STT) API and Text-to-Speech (TTS) API – both built on the same infrastructure that powers Grok Voice for mobile apps, Tesla cars, and Starlink customer support. The release moves xAI directly into the competitive speech API market currently occupied by ElevenLabs, Deepgram, … Read more