Google recently released Gemini 3.5 Flash at Google I/O May, 2026. The first version of Gemini 3.5. The series combines borderline intelligence and action. Google is calling it a giant leap for intelligent agents. The Flash tier has historically been faster and cheaper. 3.5 Flash outperforms Gemini 3.1 Pro in challenging benchmarks. The previous premium … Read more
Google used its I/O 2026 developer keynote to post a meaningful architectural change in the way it integrates AI-assisted development. The company announced Google Antigravity 2.0 – a standalone desktop application built entirely around agent orchestration alongside the Antigravity CLI, Antigravity SDK, Managed Agents in the Gemini API, and enterprise support with the Gemini Enterprise … Read more
BG = “#fafaf8” DARK = “#1a1a1a” # Color ramp: blue for common tokens, red for rare TOKEN_COLORS = [“#1a5276”, “#2471a3”, “#5dade2”, “#e67e22”, “#c0392b”, “#7d2a2a”] steps = np.arange(N_STEPS) fig = plt.figure(figsize=(16, 11), facecolor=BG) fig.suptitle( “SGD vs. Adam on Rare Tokens — Frequency Bias and Variance Normalization”, fontsize=14, fontweight=”bold”, color=DARK, y=0.99 ) gs = gridspec.GridSpec(2, 3, figure=fig, … Read more
AI research in 2025 was defined by major shifts. The industry moved beyond chatbots and into thinking systems, autonomous agents and multimodal systems. In the past year, companies like Google DeepMind, OpenAI, Anthropic, Meta, DeepSeek, and NVIDIA have pushed AI research into new territory with papers focusing on reasoning, coding agencies, reinforcement learning, and critical … Read more
import subprocess, sys def pip(*pkgs): subprocess.check_call([sys.executable, “-m”, “pip”, “install”, “-q”, *pkgs]) pip(“llmcompressor”, “compressed-tensors”, “transformers>=4.45”, “accelerate”, “datasets”) import os, gc, time, json, math from pathlib import Path import torch from transformers import AutoModelForCausalLM, AutoTokenizer from datasets import load_dataset assert torch.cuda.is_available(), “Enable a GPU: Runtime > Change runtime type > T4 GPU” print(“GPU:”, torch.cuda.get_device_name(0), “| CUDA:”, torch.version.cuda, … Read more
Vercel Labs 01 / 09 · Overview ZeroProgramming LanguageAgents A diagnostic programming language that provides AI agents with structured diagnostics,typed maintenance metadata, and machine-readable documents — near sub-10 KiB native binaries. Programming Language Native agent v0.1.1 Apache-2.0 For testing Context 02 / 09 · Why Zero Exists Agent maintenance loop problem Most programming languages produce … Read more
class RoutedAgent: def __init__(self, server: MCPToolServer, router: HybridMCPRouter, model: str): self.server = server self.router = router self.model = model def discover_exposed_tools(self, exposed_tool_names: List[str]) -> List[Dict[str, Any]]: return [t for t in self.server.tools_list() if t[“name”] in exposed_tool_names] def plan(self, task: str, exposed_tools: List[Dict[str, Any]]) -> PlanOutput: instructions = “”” You are a planning agent in an … Read more
Looking to add a layer of security to your chatbot, image analyzer or any other LLM-based program? I would strongly suggest you try OpenAI’s benchmark model: omni-moderation-latestthis can help your system recognize if the input may be harmful or not, that is very free. We will look at the background of the model, how to … Read more
Supertone has released Supertonic 3, the third generation of its on-device, ONNX-based text-to-speech system. Supertonic 3 ships with support for 31 languages, improved reading accuracy, fewer repetitive failures and skips, and ONNX public goods compatible with v2. Lightning Fast, On-Device, Multilingual and Accurate TTS. Changed from v2 to v3 Compared to Supertonic 2, Supertonic 3 … Read more
(ROOT / “shop” / “admin.py”).write_text(”’ from django.contrib import admin, messages from django.contrib.auth.admin import (UserAdmin as DjangoUserAdmin, GroupAdmin as DjangoGroupAdmin) from django.contrib.auth.models import User, Group from django.shortcuts import redirect from django.utils.html import format_html from django.utils.translation import gettext_lazy as _ from unfold.admin import ModelAdmin, TabularInline from unfold.contrib.filters.admin import ( ChoicesDropdownFilter, RangeNumericFilter, RangeDateFilter, MultipleChoicesDropdownFilter, ) from unfold.decorators import … Read more