294 results for “AI”
Anthropic released Claude Fable 5.1 for general availability and Mythos 5.1 through trusted access. Benchmarks jump on Terminal-Bench-Science and agentic coding; cache-read pricing drops 75% for roughly 25–45% lower total cost at unchanged $10/$50 input/output rates.
Apple debuted its first 2 nm chip, the M6, in the new Mac mini and the quad-die M5 Ultra in the new Mac Studio. The M5 Ultra's 512 GB unified memory and 1.2 TB/s bandwidth let developers run massive AI models locally without cloud costs.
Claude.ai, Code, and Cowork were disrupted for about 36 minutes on Aug 16 per Anthropic's status page. The incident fits a dense stretch of August degradations — and third-party monitors log far more events than Anthropic's own 90-day uptime figures suggest at a glance.
Related angle: why coding/agentic execution became the urgency gap around Kavukcuoglu’s SVP mandate — confirmed vs report-based “Code Strike” claims.
Alphabet is founding investor and Cloud partner in Jeff Dean and Sanjay Ghemawat’s Discovery Loop PBC. The spin-out automates scientific loops while Gemini product AI consolidates under DeepMind’s new SVP.
Koray Kavukcuoglu founded DeepMind’s deep-learning team and helped pioneer DQN and WaveNet. This career profile covers his ladder to SVP and Chief AI Architect — separate from the August 2026 org news.
Oasis Security researchers disclosed CVE-2026-65105 in NVIDIA NemoClaw: configuring host Ollama on 0.0.0.0:11434 for sandbox reachability disables a key Host-header defense, letting a malicious webpage reach the unauthenticated API via DNS rebinding and rewrite the model chat template. NVIDIA credited the finders in its August 2026 NemoClaw and OpenShell security bulletin.
Anthropic announced Enterprise Frontier Safeguards, allowing regulated enterprises to store 30-day safety monitoring logs in their own AWS, Azure, or GCP accounts under customer-managed encryption keys with zero vendor human review.
Tencent open-sourced an extreme quantized GGUF build of its 770B Hunyuan Hy4 model, compressing 1.5TB weights down to 214GB. By varying precision from 1.31-bit on non-critical layers to 2+ bits on sensitive layers, the model fits on accessible multi-GPU nodes.
MIT and Motional published CW-Net in Nature on 2 September 2026: a concept-wrapper that forces an ML driving planner to decide from human-readable labels like “approaching stopped vehicle.” Road tests showed those labels can fix a safety driver’s wrong mental model — without a material hit to planner metrics.
IBM and Confluent brought Granite Time Series models to Early Access on Confluent Cloud, letting teams run forecasting and anomaly detection on streaming data via Flink SQL — without a separate ML stack.
Series end: what Google confirmed under Kavukcuoglu’s SVP seat — and what is still analysis or unknown. Reporting map + Confirmed / Analysis / Unknown.