ZeroHour
DashboardNewsCVEsExploitsIncidentsAIBriefAnalyticsEntitiesWatchlistIOCsAsk the feedSourcesFeeds & APIKiosk mode

Search: “Ramp AI Index”

10 items

Searchkeywordsmart Sortlatesthotimportancerelevance
DomainAllCyberAIWindow24h3d7d30dAllIn the wildImportant onlyShow duplicates
CategoryAllRansomware 3AI industry 2Model release 2Exploit / PoC 2Policy & legal 1
SeverityAllcritical 4high 1medium 0low 1info 4

Top AI spenders cut per-employee costs by nearly 10 percent in August

Ramp's September AI Index shows top AI spenders' per-employee costs fell 9.7% in August as firms migrate from frontier models to cheaper standard models.

Ramp's September 2026 AI Index reports median per-employee AI spending at the top 1% of spenders fell 9.7% in August to $7,205, partly attributed to August vacations, falling token prices, and migration to cheaper models. The effective price per million tokens dropped 41% from its March 2026 peak to $0.68, and frontier models like Opus, Fable, and Sol fell from 53% to 45% of tokens consumed. Anthropic was paid for by 43.8% of US companies (up 0.34 points) versus 39.8% for OpenAI (up 0.09 points), while open-weight models remain marginal at 6.4% of AI-using firms.

The Decoder · 6d agoAI industry1

AI spend per employee slumped at top firms in August — summer doldrums or a warning sign?

Ramp data across 70,000 companies shows August AI adoption grew just 0.4% while per-employee spend at top-spending firms fell nearly 10% to $7,205 amid declining token prices.

Ramp's spending data shows 56% of its customers paid for AI products in August, up only 0.4% month-over-month, with spend per employee in the top 1% of firms down almost 10% to $7,205. Average token costs have dropped to $0.68 per million tokens from a 2026 peak of $1.15 in March after price cuts by OpenAI and Anthropic, and the labs have not yet offset the cuts with volume, with customers shifting to cheaper models like ChatGPT 5.6-Terra and Claude Sonnet. The US Census Bureau's broader survey shows only 22% of businesses report using AI, suggesting Ramp's tech-heavy client base overstates adoption, while only 6.4% of AI-spending businesses used model-serving or inference platforms in August.

TechCrunch · AI · 7d agoAI industry

GLM-5.3: How Chinese labs keep stride with the frontier

Z.ai released GLM-5.3, a ~750B-parameter model with frontier agentic coding scores, with open weights on Hugging Face planned in two weeks.

Z.ai announced GLM-5.3, initially available only in its coding plan, with API access and open Hugging Face weights promised within two weeks. The roughly 750B-parameter model, one-third the size of Moonshot AI's Kimi K3, surpasses Kimi K3 on many benchmarks and beats Claude Fable 5 or GPT-5.6-Sol on some, placing it at the frontier of agentic coding benchmarks. GLM-5.3 reuses the GLM-5.2 base model with substantially extended post-training based on more RL environments, more diverse tasks and more compute. The post also analyzes how Chinese labs keep pace with the frontier, arguing release speed matters more than distillation.

Interconnects · Aug 14, 2026Model release

[AINews] DeepSeek v4.1-Flash: 763B-P8B-D16B novel causal Encoder–Decoder architecture with vision marks the Return of the Whale

DeepSeek released V4.1-Flash, an open-weight 763B-parameter model with a novel causal encoder-decoder architecture, 1M context, vision input, and MIT license.

DeepSeek launched V4.1-Flash, an open-weight MIT-licensed model using a novel causal encoder-decoder architecture with 763B total parameters and asymmetric active parameters: 8B for prefill and 16B for decode. It supports 1M-token context and text+image input, priced at $0.30 per 1M input and $1.20 per 1M output tokens with a 50% off-peak discount. Artificial Analysis scored it 40 on its Intelligence Index, above DeepSeek V4 Pro 0813, and Vals ranked it the #1 open-weight model ahead of Kimi K3. Baseten shipped day-0 support and Ollama began rolling it out to paid subscribers.

Latent Space · 4d agoModel release 4 sources1