Notion restores entry to Anthropic after service disruption

Notion restores entry to Anthropic after service disruption

Notion’s integration with Anthropic apparently had a hiccup this weekend. Early Sunday morning, the corporate posted, “Anthropic’s Opus 4.7 and 4.8 fashions are experiencing degraded efficiency, which is inflicting a better charge of failures for customers deciding on these fashions in Notion AI.” In consequence, Notion stated it was disabling use of “all Anthropic fashions”…

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Constructing Reflective Immediate Optimization with GEPA: Multi-Element Prompts, Structured Suggestions, and Held-Out Validation

Constructing Reflective Immediate Optimization with GEPA: Multi-Element Prompts, Structured Suggestions, and Held-Out Validation

def make_problems(n, seed=0): rng = random.Random(seed) out = [] for _ in vary(n): t = rng.selection([“discount”, “travel”, “wallet”, “chain”]) if t == “low cost”: unit = rng.selection([40, 60, 80, 120]) qty = rng.selection([5, 6, 8, 10]) disc = rng.selection([10, 20, 25, 50]) complete = unit * qty gold = complete – complete * disc //…

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Best 21 Low-Code and No-Code AI Tools in 2026

Low-code and no-code platforms have moved from simple drag-and-drop builders to AI-native development environments. In 2026, most of them ship a built-in assistant that turns a text prompt into a working app, agent, or automation. This list covers 21 tools that AI practitioners use today, grouped by what they do best. Each tool name links…

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Meet Harness-1: A 20B Retrieval Subagent Trained With Reinforcement Learning Inside a Stateful Search Harness on gpt-oss-20b

Most search agents are trained as policies over a growing transcript. The model decides how to search. It must also remember what it saw, which evidence matters, and which claims it checked. A team of researchers from University of Illinois Urbana-Champaign, UC Berkeley, and Chroma argues this asks too much. Reinforcement learning ends up optimizing…

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NVIDIA garak Tutorial: Build a Complete Defensive LLM Red-Teaming Workflow with Custom Probes and Detectors

print(“\n########## 5. ANALYSIS ##########”) import numpy as np, pandas as pd def find_latest_report(): cands = [] for base in [os.path.expanduser(“~/.local/share/garak/garak_runs”), os.path.expanduser(“~/.cache/garak”), “.”]: cands += glob.glob(os.path.join(base, “**”, “*report.jsonl”), recursive=True) cands = [c for c in cands if os.path.getsize(c) > 0] return max(cands, key=os.path.getmtime) if cands else None report_path = report_path or find_latest_report() print(“Analysing:”, report_path) evaluations =…

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AirTrunk commits B to construct 5GW of AI information facilities in India

AirTrunk commits $30B to construct 5GW of AI information facilities in India

Blackstone-backed information middle operator AirTrunk mentioned on Friday it might make investments $30 billion in India by 2030, including to a wave of commitments from expertise and infrastructure teams looking for to increase computing capability within the nation. The Australian firm said it might develop 5 gigawatts of latest information middle capability in India, one…

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