Google Adds Event-Driven Webhooks to the Gemini API, Eliminating the Need for Polling in Long-Running AI Jobs
If you’ve ever built a production AI pipeline that runs long jobs — processing thousands of prompts overnight, kicking off...
AI News
Why Gradient Descent Zigzags and How Momentum Fixes It
PLOT_STEPS = 55 x_ = np.linspace(-5, 5, 500) y_ = np.linspace(-2.2, 2.2, 500) X, Y = np.meshgrid(x_, y_) Z =...
OpenAI turns its sold-out GPT-5.5 party into a monthlong Codex giveaway for 8,000 developers
OpenAI on Monday began emailing more than 8,000 developers who applied for its invite-only GPT-5.5 party with a surprise consolation...
A Coding Guide to Survey Bias Correction Using Facebook Research Balance with IPW CBPS Ranking and Post Stratification Methods
fig, axes = plt.subplots(2, 2, figsize=(14, 10)) colors_a = axes.bar(list(asmd_means.keys()), list(asmd_means.values()), color=colors_a) axes.axhline(0.1, ls="--", color="red", label="0.10 imbalance threshold") axes.set_title("Mean ASMD...
The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next
The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database...
Zyphra Introduces Tensor and Sequence Parallelism (TSP): A Hardware-Aware Training and Inference Strategy That Delivers 2.6x Throughput Over Matched TP+SP Baselines
Training and serving large transformer models at scale is fundamentally a memory management problem. Every GPU in a cluster has...
Microsoft takes Agent 365 out of preview as shadow AI becomes an enterprise threat
Microsoft last week took Agent 365, its management platform for AI agents, out of preview and into general availability —...
How to Build an End-to-End Production Grade Machine Learning Pipeline with ZenML, Including Custom Materializers, Metadata Tracking, and Hyperparameter Optimization
@step(enable_cache=True) def load_data() -> Annotated: data = load_breast_cancer() return DatasetBundle( data.data, data.target, data.feature_names, stats={"source": "sklearn.datasets.load_breast_cancer"}, ) @step def split_and_scale( bundle:...
Inside AMEX’s agentic commerce stack: How intent contracts and single-use tokens enforce AI transactions
American Express (Amex) is building a system that lets AI agents shop and pay on behalf of users — but...
Top Search and Fetch APIs for Building AI Agents in 2026: Tools, Tradeoffs, and Free Tiers
Web search and content retrieval have quietly become the most critical infrastructure decisions in AI agent development. An agent without...
Agentic AI Governance Is Now a Product. Are Enterprises Ready?
Two weeks ago at Google Cloud Next ’26 in Las Vegas, Google did something the enterprise AI industry has been...
Physical AI raises governance questions for autonomous systems
Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue...
A Coding Implementation to Explore and Analyze the TaskTrove Dataset with Streaming Parsing Visualization and Verifier Detection
filename_counter: Counter = Counter() all_json_keys: Counter = Counter() samples_for_show: List = for i, row in enumerate(tqdm(ds_test, desc="inspecting structure", total=200)): if...
A Developer’s Guide to Systematic Prompting: Mastering Negative Constraints, Structured JSON Outputs, and Multi-Hypothesis Verbalized Sampling
Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until...
Sakana AI Introduces KAME: A Tandem Speech-to-Speech Architecture That Injects LLM Knowledge in Real Time
The fundamental tension in conversational AI has always been a binary choice: respond fast or respond smart. Real-time speech-to-speech (S2S)...
What is Tokenization Drift and How to Fix It?
words = for p in pairs] ids_ws = for w in words] ids_nws = for w in words] delta =...
Mistral AI Launches Remote Agents in Vibe and Mistral Medium 3.5 with 77.6% SWE-Bench Verified Score
Mistral AI has been quietly building one of the more practical coding agent ecosystems in the open-source/weights AI space, and...
Build a Multi-Agent AI Workflow for Biological Network Modeling, Protein Interactions, Metabolism, and Cell Signaling Simulation
class CellSignalingSimulationAgent: def run(self, df_signal: pd.DataFrame) -> AgentResult: peak_receptor = float(df_signal.max()) peak_kinase = float(df_signal.max()) peak_tf = float(df_signal.max()) t_receptor = float(df_signal.loc.idxmax(),...
xAI launches Grok 4.3 at an aggressively low price and a new, fast, powerful voice cloning suite
While Elon Musk faces off against his former colleague and OpenAI co-founder Sam Altman in court, Musk's rival firm xAI,...
A New NVIDIA Research Shows Speculative Decoding in NeMo RL Achieves 1.8× Rollout Generation Speedup at 8B and Projects 2.5× End-to-End Speedup at 235B
If you have been running reinforcement learning (RL) post-training on a language model for math reasoning, code generation, or any...
200,000 MCP servers expose a command execution flaw that Anthropic calls a feature
Anthropic created the Model Context Protocol as the open standard for AI agent-to-tool communication. OpenAI adopted it in March 2025....
A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features
EPOCHS = 15 opt = torch.optim.AdamW(model.parameters(), lr=1e-3, weight_decay=1e-4) sched = torch.optim.lr_scheduler.CosineAnnealingLR(opt, T_max=EPOCHS) loss_fn = nn.MSELoss() hist = {"tr": , "va":...
