Janet Harrison

Janet Harrison has over 16 years experience in the financial services industry giving her a vast understanding of how news affects the financial markets, and an early adopter of blockchain technology and digital currencies. Janet is an active holder and trader spending the majority of her time analyzing blockchain projects, reports and watching new and upcoming projects and other initiatives in the industry. She has a Masters Degree in Economics with previous roles counting Investment Banking.

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Janet Harrison · May 5, 2026 · 1:36 AM

The EU Wants Anthropic to Test Its Banks for Mythos Vulnerabilities and That Negotiation Is Reshaping How Frontier AI Enters Regulated Markets

EU Economy Minister Valdis Dombrovskis confirmed Monday that the European Commission is in talks with Anthropic to use Mythos, its superhuman cybersecurity model, to test European banks and companies for software vulnerabilities, making it the first AI system being actively recruited by a major regulator as a financial infrastructure inspection tool. The negotiation follows ECB and Bundesbank formal assessments of bank preparedness, the UK AI Security Institute's finding that Mythos is significa

Janet Harrison · May 4, 2026 · 11:44 PM

Nvidia Backs DeepInfra's $107 Million Series B and the Investment Is About More Than One Inference Startup

DeepInfra has closed a $107 million Series B with Nvidia among the investors, for an inference platform that scaled processing volume 8,000 times since 2022 by hosting open-weight models on owned Nvidia hardware at prices significantly below hyperscaler rates. The investment continues Nvidia's pattern of backing CoreWeave, Lambda, Baseten, and Anthropic, raising genuine questions about whether independent inference clouds can stay strategically neutral while taking capital from the dominant hard

Janet Harrison · May 4, 2026 · 10:08 PM

llama.cpp Now Supports Multi-Token Prediction in Beta and the Implications for Local AI Tooling Are Bigger Than the PR Suggests

llama.cpp has merged beta support for multi-token prediction, allowing compatible models like DeepSeek V3 and Qwen3.5 to draft multiple tokens per forward pass without a separate draft model, with community benchmarks showing 1.5x to 2x throughput gains in real-world single-stream generation. For founders building coding tools, agents, or privacy-sensitive applications on local inference, the update is another signal that local AI economics are improving through software as fast as through hardw

Janet Harrison · May 4, 2026 · 8:32 PM

OpenAI's DeployCo Is Not a Fund. It Is a Captured Distribution Machine for the Enterprise Market.

OpenAI has finalised DeployCo, a $10 billion joint venture with TPG, Bain Capital, Advent International, Brookfield, and Goanna Capital, guaranteeing PE investors a 17.5% annual return in exchange for direct access to hundreds of portfolio companies. The Palantir-style forward-deployment model gives OpenAI a captured enterprise distribution channel that bypasses normal deal cycles and creates structural switching costs no startup can easily match.

Janet Harrison · May 4, 2026 · 7:09 PM

Rain Is Building the Layer That Makes Stablecoins Disappear Into Normal Payments and That Is Exactly the Point

Rain, valued at $1.95 billion after a $250 million Series C, has partnered with Mastercard to issue stablecoin-backed cards, adding a second card network to its existing Visa principal membership. With $3 billion in annualised transactions, 38x volume growth, and enterprise clients including Western Union, Rain is positioning itself as the infrastructure layer that makes stablecoin settlement invisible inside normal payments.

Janet Harrison · May 4, 2026 · 12:26 AM

The Harvard emergency room AI study is most useful not as proof that machines outdiagnose doctors but as a map of where clinical AI products should actually be built

Janet Harrison · May 3, 2026 · 10:03 PM

Utah's VPN liability law for age verification is the clearest sign yet that state-by-state internet compliance is becoming a startup operating cost

Janet Harrison · May 3, 2026 · 8:25 PM

AI models are hitting a data quality wall and the open web is the reason why

Fortune's reporting on the deteriorating quality of public web data used to train AI models has surfaced a structural problem the industry has been slow to confront: the open web is increasingly composed of synthetic, recycled, and SEO-optimized content that degrades model performance when consumed at scale. Researchers have documented model collapse effects from AI-generated training contamination, and the problem compounds across successive training generations. For startups, the implication i

Janet Harrison · May 3, 2026 · 6:49 PM

A creator with no coding background used AI tools to build an iPhone app that hit number one on the App Store in twelve hours

Content creator Derrick Downey Jr. built DualShot Recorder, an iPhone app that captures vertical and horizontal video simultaneously, using ChatGPT, Claude, and Google Antigravity without writing any code himself. The app launched at $6.99, hit number one on Apple's paid App Store chart within twelve hours, and held the position for eight days before moving to a $9.99 one-time price with no subscription and no data collection. The story is a working demonstration of how AI coding tools, creator

Janet Harrison · May 3, 2026 · 5:14 PM

The AI Industry's Information Vacuum Is So Complete That Observers Have Started Doing Cold War Style Intelligence Analysis on Tech Campuses

Janet Harrison · May 3, 2026 · 3:37 PM

The Oscars AI Ban Tells Founders Something More Useful Than Whether Hollywood Likes Their Products

The Academy's reported ban on AI-generated performances and scripts from Oscars eligibility marks a shift from industry concern to institutional enforcement, creating concrete market pressure on generative media startups whose studio customers must now weigh awards eligibility risk when choosing which AI tools to use on prestige productions. For founders, the rule is a prompt to build provenance, consent, and credit attribution features before studios start requiring them in procurement conversa

Janet Harrison · May 3, 2026 · 1:45 PM

Model Providers Are Quietly Shifting Responsibility for AI Behavior Onto Developers and Most Startups Have Not Noticed Yet

Janet Harrison · May 3, 2026 · 11:21 AM

The Qwen3 27B Versus Coder-Next Debate Is Really About Whether Founders Can Trust Reddit Benchmarks to Make Infrastructure Decisions

A r/LocalLLaMA thread comparing Qwen3.6-27B against the specialist Coder-Next model raises a question that matters more than the specific benchmark outcome: whether improved general models at the 27B scale are closing the gap with coding specialists fast enough to change how founders should approach local coding AI infrastructure decisions. For engineering teams evaluating local inference for privacy, cost, or control reasons, the comparison is most useful as a framework for task-specific evalua

Janet Harrison · May 3, 2026 · 9:12 AM

Tinygrad Is Testing Its Own Hardware Driver and That Is a More Important Story Than It Sounds

A Tinygrad driver testing post on r/LocalLLaMA has drawn serious developer engagement, signaling that the open-source ML framework is pushing further down the hardware stack in a quiet challenge to Nvidia's CUDA-centric platform lock-in. For AI startups building inference tools or local AI products, the development is worth tracking as part of a broader effort to make the ML infrastructure stack more portable and less dependent on any single hardware vendor's toolchain.

Janet Harrison · May 3, 2026 · 7:35 AM

A Weekend Project That Visualizes Hugging Face Models Points to the Next Big Opportunity in Open Source AI Tooling

A Reddit user's Hugging Face model visualizer attracted 123 upvotes and active developer interest within three hours on r/LocalLLaMA, pointing to a significant gap in the open-weight AI ecosystem where model selection, comparison, and evaluation tooling has not kept pace with the explosion of available models. For founders watching the AI infrastructure space, the signal is that the opportunity is shifting from building models to building the experience layer that makes models understandable and

Janet Harrison · May 3, 2026 · 5:59 AM

Apple Was Not Ready for How Many People Wanted an AI MacBook and That Tells You Something Important

Apple's MacBook Neo demand came in dramatically above internal forecasts, triggering supply pressure that pushed Mac Mini prices to $799 and revealing that AI-capable hardware is becoming a genuine pricing lever. For startups building on Apple Silicon, the supply chain dynamics and pricing shifts are no longer background noise but a strategic dependency that deserves direct attention.