2026/02/07

Kris Marszalek, the co-founder and CEO of Crypto.com, is making his boldest move yet outside of cryptocurrency: launching ai.com, a consumer-facing platform for autonomous AI agents, timed to a Super Bowl LX commercial airing tomorrow on NBC. The platform, which officially goes live on February 8, lets anyone create a personal AI agent in under 60 seconds — no technical knowledge required. But unlike the chatbots most consumers are familiar with, ai.com's agents are designed to actually do things: send messages, execute workflows, manage calendars, trade stocks, and even update dating profiles, all autonomously on the user's behalf. ## The Self-Improving Network What sets ai.com apart from existing agent platforms is its network architecture. When one agent builds a new capability to complete a task, that improvement is shared across millions of agents on the platform. Marszalek envisions this as a decentralized network of billions of self-improving agents that collectively accelerate toward AGI. "We are at a fundamental shift in AI's evolution as we rapidly move beyond basic chats to AI agents actually getting things done for humans," Marszalek said in the announcement. ## From Crypto to AI Marszalek built Crypto.com into one of the world's largest cryptocurrency platforms with over 150 million users. He acquired the ai.com domain in 2025 in what is believed to be the largest domain purchase in history. He will serve as CEO of both companies simultaneously. The platform launches with a free tier and paid subscription options for enhanced capabilities and additional input tokens. All agents run in dedicated secure environments with user-specific encryption keys. ## Why It Matters The Super Bowl timing is no accident. With an estimated 120+ million viewers, Marszalek is clearly attempting to do for AI agents what his previous Super Bowl ads did for crypto adoption — bring a technical concept to mainstream consumers overnight. The launch comes during a week when autonomous AI agents have dominated headlines, from Anthropic's Claude Cowork triggering a $285 billion stock selloff to OpenAI launching its Frontier enterprise agent platform. Whether ai.com can deliver on its ambitious promises remains to be seen, but the combination of a proven consumer tech entrepreneur, the world's most premium domain name, and a Super Bowl launch makes this one of the splashiest AI product debuts of 2026.

2026/02/07

Goodfire Inc., an AI interpretability startup working to decode how large language models make decisions, has raised $150 million in Series B funding at a $1.25 billion valuation. B Capital led the round, with participation from Salesforce, former Google CEO Eric Schmidt, and several other investors. ## Why Interpretability Matters Now As AI models are deployed in increasingly high-stakes domains — healthcare, finance, legal — understanding *why* a model produces a given output has become a critical business and safety requirement. Goodfire's platform provides what the company calls a "model design environment" that maps out an LLM's internal components, making it possible to identify and fix flaws that would otherwise remain invisible. The platform operates at two stages: during training, where it gives researchers visibility into how neural networks learn skills from datasets, and in production, where it monitors deployed models for reliability issues. Goodfire claims it reduced AI hallucinations by 50% in one recent deployment. ## Real-World Traction One of Goodfire's first customers is healthcare AI startup Prima Mente, which built a model analyzing cfDNA fragments to detect Alzheimer's disease. Goodfire's analysis revealed the model was primarily relying on fragment length for diagnosis — a finding not previously documented in scientific literature. ## The Technical Approach Goodfire developed a method called SPD (Sparse Probing Decomposition) that identifies model components involved in generating responses by systematically removing them and observing the effect on output. "Interpretability, for us, is the toolset for a new domain of science: a way to form hypotheses, run experiments and ultimately design intelligence rather than stumbling into it," said CEO Eric Ho. ## What It Means for Developers With $150 million in fresh capital, Goodfire plans to expand its platform and fund further interpretability research. For developers building on LLMs, tools like Goodfire's could become essential for debugging model behavior, meeting compliance requirements, and building trust in AI-powered products — especially as regulators increasingly demand explainability.

2026/02/07

Four of the world's largest technology companies are projected to spend a combined $650 billion on AI infrastructure in 2026, according to Bloomberg — a figure comparable to Sweden's entire GDP and roughly 60% higher than last year's already record-breaking outlays. Amazon leads the pack with a staggering $200 billion earmarked for AI, chips, robotics, and satellites. Alphabet follows at $185 billion, blowing past analyst estimates. Meta has committed up to $135 billion — an 87% jump year-over-year — driven by its stated goal of achieving AI superintelligence. Microsoft rounds out the group at nearly $105 billion for its fiscal year ending in June. The collective spend rivals only two other capital expenditure booms in American history: the telecom cable buildout of the 1990s and the railroad expansion of the 19th century. Both, notably, turned out to be bubbles. For developers, the implications are significant. This unprecedented infrastructure buildout means more GPU availability, cheaper inference costs over time, and expanding cloud AI services across all major providers. The "shovel sellers" are already benefiting — Nvidia, AMD, and Broadcom shares each surged over 7% on the news, with Nvidia CEO Jensen Huang calling the spending level "appropriate and sustainable." But investors remain uneasy. Amazon and Alphabet stocks slipped after announcing their plans, and Microsoft shed $357 billion in a single day last week — the second-largest market value decline for any stock in history — after its own capex update spooked Wall Street. The question everyone is asking: is this the foundation of a transformative new era, or the early signs of an overheated market? With AI already disrupting enterprise software — Anthropic's Claude Cowork wiped $285 billion off SaaS stocks this week alone — Big Tech is clearly betting that the demand for AI compute will only accelerate.

2026/02/06

We went from prompting our way to a landing page to deploying autonomous agent teams that build enterprise software and run business operations. Here is how the shift happened and what it means.

2026/02/06

From autonomous coding loops and browser automation to framework-specific skills and security scanning — a curated guide to the best community-built plugins for Claude Code developers.

2026/02/05

A deep dive into Anthropic's 11 official knowledge work plugins — from Productivity and Sales to Finance, Data, and Bio-Research — that turn Claude from a general-purpose AI into a role-specific specialist with domain expertise, slash commands, and MCP connectors.