At least 47 major data center projects are DELAYED, BLOCKED or WITHDRAWN in 2026, FT reports.
The scale of the risks is GROWING:
~ Only 35% of planned U.S. data center projects are considered credible by Bernstein analysts.
~ 1,000+ U.S. communities have sought restrictions on AI infrastructure development this year.
~ CoreWeave plunged nearly 25% in one week as investors questioned its debt-funded expansion.
The biggest concern is FINANCING. AI providers are borrowing BILLIONS to build data centers, but rising costs and delays threaten their expansion.
Some contracts even allow AI companies to walk away if deadlines are missed, leaving developers with massive debts and unfinished projects.
Investors now question whether these companies can survive the enormous costs of the AI boom.
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Your body’s cells use chemical signals to decide whether to become heart, lung, brain or other tissues. MIT and the Whitehead Institute developed an AI called IRIS that can decode these signals by analyzing the changes they leave in a cell’s genes.
Trained on thousands of human stem cells, IRIS predicted signaling activity in unfamiliar cell types and correctly identified key signals in mouse embryos developing into organs and tissues.
The biggest breakthrough came when it predicted that activating a specific signal could push cells toward becoming lung tissue. Experiments in mouse embryos confirmed the prediction.
The technology could help researchers grow better mini-organs in laboratories and study diseases such as asthma, lung cancer and pulmonary fibrosis.
One day, it could even help scientists find new ways to repair damaged tissues.
Source.
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1. An international nuclear-style watchdog
2. Merge all major labs into a giant org
3. One company achieves RSI and gets so powerful it can literally “melt everyone else’s GPUs.”
and he called the 3rd option “terrible.
Source.
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The Alan Turing Institute has proposed developing a British AI foundation model that would be released as a public good, according to a government advisory letter published today.
Instead of being controlled by a single company, the model would operate as UK-governed national infrastructure, giving researchers, startups and public services access to AI technology they could build on.
Britain’s top science advisers are urging ministers to consider the proposal and allocate national computing capacity for AI experiments and trials. The goal is to give the UK greater control over how advanced AI is developed and deployed.
Their warning is that Britain risks becoming a “high-value AI customer”, paying for technology built elsewhere rather than developing the capabilities to shape it itself.
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~ MireloAI - develops AI models that generate sound effects, speech and music for video, helping creators and production teams produce high-quality audio that perfectly matches their visuals on screen.
~ AgileRobots - which builds AI-powered robots, from robotic arms to its Agile ONE humanoid, for manufacturing, logistics and healthcare.
~ Avelios Medical - develops an AI-native hospital information system that serves as the core system of record for clinical and administrative workflows, integrating AI directly into hospital operations to free up doctors and nurses to deliver better patient care.
~ Reflex Aerospace - designs and builds high-performance satellites ready for launch in about 12 months instead of years.
The company has already invested in n8n, Neura Robotics and Black Forest Labs.
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It’s already started. The concern is that vulnerabilities now discussed in security reports and social media could eventually surface as breaches of critical infrastructure.
Japan’s Prime Minister has reportedly issued an urgent statement on the broader issue, although the context and exact wording need verification.
The vulnerability list is alarming. Two reported PHP flaws could allow unauthenticated remote code execution, while Oracle Access Manager and Oracle SOA Suite entries carry maximum CVSS scores of 10.0. Argo CD, Node.js, Juniper networking equipment and Fortinet security software also appear on the list.
Some entries are described as actively exploited, including flaws affecting Plex Media Server, SiteGuard and Siemens Software Center. If confirmed, these would represent risks across web applications, enterprise systems, network infrastructure and industrial environments.
PHP makes the potential reach especially significant. It powers a substantial share of websites worldwide, although the often-cited figure of 70% depends on the measurement method and does not mean 70% of sites are vulnerable.
The bigger concern is the speed at which attackers may discover and exploit weaknesses across widely deployed software. AI could accelerate parts of that process, potentially shrinking the time defenders have to respond.
The CVE identifiers and claims above have not been independently verified, so they should not yet be treated as confirmed disclosures from today.
Source.
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AI Post — Artificial Intelligence
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ByteDance, Alibaba and Tencent have reportedly ordered more than 3 million Nvidia RTX PRO 5500 cards, designed to comply with US export restrictions, according to Reuters.
The problem is supply. Total orders from Chinese buyers have reportedly exceeded 6 million cards, while Nvidia may be able to produce no more than 3 million globally in 2027. One source warned that customers could receive just 5% to 10% of the quantities they requested.
Chinese companies primarily want the GPUs for AI inference, running trained models to power chatbots, agents and other AI applications rather than training new models. Commercial deliveries are expected to begin in Q1 2027.
Nvidia’s older RTX 6000D attracted little interest from major Chinese buyers last year, but the product has since been discontinued and its market price in China has doubled.
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Google is raising the bar for software engineers: AI fluency is now required for every engineering role, according to internal documents obtained by Business Insider.
Beyond entry-level positions, candidates are also being evaluated on how well they can integrate AI into products. The company has expanded trials that let applicants use Gemini during coding interviews, testing not just their coding skills but also prompt engineering and their ability to understand AI-generated code.
Google is also experimenting with Gemini to transcribe interviews and help draft candidate feedback.
Google’s own instructions explicitly warn employees not to use generative AI to build standalone solutions or agents for hiring and interviewing.
Google wants engineers who know how to work with AI, not simply those who can write code without it. As AI becomes part of everyday software development, the ability to direct, evaluate and integrate these systems could become as important as traditional programming skills.
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Meta’s Muse has reached 10.2 million downloads in the U.S. in its first 40 days, nearly three times ChatGPT’s 3.7 million over the same period. According to Sensor Tower, only 11 other apps have ever reached the 10 million mark that quickly.
Meta is also putting more money behind the app, increasing Muse’s share of its advertising spend from 23% in September to 39%.
The early numbers look promising beyond downloads, too. Muse has a 14-day retention rate of 23%, ahead of the 16% average for ChatGPT, Claude and Grok.
The real test now is whether Meta can turn that initial hype into lasting user growth.
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