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The Download: DeepSeek’s latest AI breakthrough, and the race to build world models

View original at technologyreview.com
MIT Technology Review - Ai Research Title: The Download: DeepSeek’s latest AI breakthrough, and the race to build world models Date: 2026-04-27 12:10 Source: https://www.technologyreview.com/2026/04/27/1136438/the-download-deepseek-v4-ai-world-models/ <p><em>This is today’s edition of </em><a href="https://forms.techno…
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  • Getting out the truth and establishing facts takes time, but audiences lack the patience, which is why conspiracy theories are gaining traction online

    60% confidence
  • Meta's attempted acquisition of Manus was a conspiratorial attempt to hollow out China's tech base

    60% confidence
  • DeepSeek V4 can process much longer prompts than the previous generation thanks to a new design that handles large amounts of text more efficiently

    60% confidence
  • Building an AI that composes novels or codes apps is far easier than developing one to fold laundry or navigate city streets

    60% confidence
  • X's new banking tool will launch in April 2026

    60% confidence
  • World models can overcome the well-known limitations of LLMs and realize AI's promise for robotics

    60% confidence
  • Google's $40B investment in Anthropic will support the firm's growing computing needs

    60% confidence
  • DeepSeek V4 is DeepSeek's first release optimized for Huawei's Ascend chips, representing a key test of China's dependence on Nvidia

    60% confidence
  • DeepSeek V4's performance matches leading closed-source rivals from Anthropic, OpenAI, and Google

    60% confidence
  • China is tightening its grip on AI firms that try to leave the country

    60% confidence
  • AI optimism is surging across Asia while US sentiment cools; the divide could shape where AI adoption happens fastest

    60% confidence
  • Octavia Carbon's direct air capture method using geothermal energy is efficient, affordable, and scalable

    60% confidence
  • World models can overcome the well-known limitations of LLMs and realize AI's promise for robotics

    60% confidence
  • China's blocking of Meta's Manus acquisition escalates China's AI rivalry with the US

    60% confidence
  • A new banking tool brings X close to a super app

    60% confidence
  • The AI compute crunch is starting to hit the broader economy, affecting jobs, gadgets, and electricity prices

    60% confidence
What we know · the intelligence behind this page
Live from the substrate
What we're seeing
Enterprise AI Agents Go Mainstream, But Trustworthy Data Access Lags Adoption
A wave of enterprise AI agent activity — fresh funding (Latitude's $35M Series A), a run of CB Insights CEO interviews spotlighting fintech- and healthcare-focused agent startups (Covecta, Penguin AI, Maisa AI), and major platform partnerships (Microsoft-Mistral, Manulife-Microsoft AI governance, Siemens-NVIDIA agentic EDA, Box's agent security controls) — signals agentic AI moving from pilot to production across financial and enterprise workflows. Yet Google Cloud's own research shows adoption is outrunning data readiness (companies average AI access to only 45% of their data, with 'data laggards' capped near 30%), while insider selling at incumbent C3.ai hints at mixed investor conviction even as the broader ecosystem accelerates.
Our read on the data ›
Signals we're tracking
Satellite-Terrestrial Network Integration Acceleration
Increased investment and launches in hybrid satellite-cellular networks across telecom industry; competitive responses from other carriers; regulatory activity around satellite spectrum; expansion of emergency/rural connectivity use cases
Patterns we're watching ›
Where sources disagree
ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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