Jeff Bezos' AI Startup Project Prometheus Nears $10B Funding at $38B Valuation

YC partners share how to use AI to build a company from scratch; startups should treat AI as an operating system rather than a tool

The impact of AI on startups is no longer limited to helping engineers write code faster, automating customer service workflows, or adding a Copilot to an existing product. Recently, YC partner Diana pointed out that the real change lies in the fact that AI is rewriting how a company should be built from scratch in the first place. For early founders, AI should not be merely an efficiency tool the company occasionally uses; it should be designed from day one as the operating system of the entire company. The productivity perspective is outdated—AI is rewriting a company’s design starting point Diana believes that when people in the market talk about AI today, they still too often stay within a “productivity improvement” framework—for example, engineers can write code faster, teams can automate more processes, and companies can roll out more features. But this argument actually underestimates the structural changes AI brings. She points out that the right people paired with AI…

Cursor AI agent caused an incident! One line of code cleared the company database in 9 seconds—“security checks” turned into empty talk

PocketOS founder Jer Crane said that Cursor AI agents ran maintenance on their own in a test environment, misused an API Token that adds/removes custom domains, and launched a delete command against Railway’s GraphQL API. Within 9 seconds, all data and same-region snapshots were completely destroyed, with the latest recoverable point being three months ago. The agent admitted to violating rules for irreversible operations, not reading technical documentation, not verifying environment isolation, and more. The victims were car rental industry customers; their bookings and all data disappeared, and reconciling accounts took a long time. Crane proposed five reforms: manual confirmation, fine-grained API permissions, backups separated from master data, a public SLA, and a mandatory underlying enforcement mechanism.

DeepSeek V4 Pro with Ollama Cloud: One-click integration with Claude Code

According to an Ollama tweet, DeepSeek V4 Pro was released on 4/24, has been added to the Ollama catalog in cloud mode, and can call tools like Claude Code, Hermes, OpenClaw, OpenCode, Codex, etc. with just a single line of command. V4 Pro: 1.6T params, 1M context, Mixture-of-Experts; cloud inference does not download local weights. If you want to run it locally, you need to obtain the weights yourself and run it with INT4/GGUF and multi-card GPUs. Early speed tests were affected by cloud load; typical performance is about 30 tok/s, with a peak of 1.1 tok/s. It is recommended to use the cloud prototype first, and for production later, run inference yourself or use a commercial API.

DeepSeek Cuts V4-Pro Prices by 75%, Slashes API Cache Costs to One-Tenth

Gate News message, April 27 — DeepSeek announced a 75% discount on its new V4-Pro model for developers and reduced input cache hit prices across its API lineup to one-tenth of previous levels. The V4 model, released on April 25 in Pro and Flash versions, has been optimized for Huawei's Ascend

Coachella turns to Google’s DeepMind AI to reimagine concerts beyond the stage

Coachella has partnered with Google DeepMind to test new AI tools that reshape how live music performances are created and experienced. Summary Coachella has tested AI tools with Google DeepMind to turn live performances into interactive digital environments. Three prototypes were built,

Guo Ming-chi: OpenAI wants to build an AI Agent phone; MediaTek, Qualcomm, and Luxshare Precision are key in the supply chain

Guo Ming-chi claims that OpenAI is working with MediaTek, Qualcomm, and Luxshare Precision to develop an AI Agent phone, with mass production expected in 2028. The new phone will be centered on task completion: an AI agent will understand and execute requests, combining cloud and on-device computing, with a focus on sensing and contextual understanding. The specifications and supply chain list are expected to be finalized in 2026–2027; if it takes shape, it could bring a new upgrade cycle to the high-end market, and Luxshare may become a major beneficiary.