#Tag
This is a damning article from the Wikipedia editors on GenAI articles written for Wikipedia: https://wikiedu.org/blog/2026/01/29/generative-ai-and-wikipedia-editing-what-we-learned-in-2025/
Microsoft lost $357 billion in market cap in earnings plunge
In a historic single-day drop, Microsoft's stock fell ~10% on January 29, 2026—its steepest decline since March 2020. The sell-off wiped out $357 billion in market value, closing its cap at $3.22 trillion.
Key drivers from the earnings report:
· Azure cloud growth of 39% slightly missed estimates.
· Weak revenue guidance for the Windows-led PC segment.
· CFO Amy Hood noted AI compute capacity was prioritized for internal projects like Microsoft 365 Copilot over customer data center supply.
Analysts are split: some urge faster data center build-out, while others defend the long-term strategy, viewing capacity constraints as temporary.
The reaction underscores market nerves about execution in the AI race, even as leadership stresses focus on sustainable growth over short-term performance.
https://www.cnbc.com/2026/01/29/microsoft-market-cap-earnings.html
#Microsoft #StockMarket #Earnings #Investing #CloudComputing #Azure #AI #BusinessNews #Finance #Tech
Microsoft lost $357 billion in market cap in earnings plunge
In a historic single-day drop, Microsoft's stock fell ~10% on January 29, 2026—its steepest decline since March 2020. The sell-off wiped out $357 billion in market value, closing its cap at $3.22 trillion.
Key drivers from the earnings report:
· Azure cloud growth of 39% slightly missed estimates.
· Weak revenue guidance for the Windows-led PC segment.
· CFO Amy Hood noted AI compute capacity was prioritized for internal projects like Microsoft 365 Copilot over customer data center supply.
Analysts are split: some urge faster data center build-out, while others defend the long-term strategy, viewing capacity constraints as temporary.
The reaction underscores market nerves about execution in the AI race, even as leadership stresses focus on sustainable growth over short-term performance.
https://www.cnbc.com/2026/01/29/microsoft-market-cap-earnings.html
#Microsoft #StockMarket #Earnings #Investing #CloudComputing #Azure #AI #BusinessNews #Finance #Tech
Asimov wrote his laws of robotics as a dramic device to show how difficult it is to write laws of robotics. How they always will contradict each other.
His laws are there to illustrate a problem, not as a genuine attempt at the solution. His laws are deliberately wrong.
Anthropic's constitution is a proper attempt to solve the problem instead.
Surprising that it ends up written in English rather than maths.
Perhaps the robot will translate it into maths later.
There's a lot of thorny philosophy in it if you assume the premise that a super-intelligent machine can be built, even if known methods can't build it.
We should do that philosophy whether the premise turns out to be true or false.
Anthropic are doing much better on the AI ethics than openAI. And the business side, and the building actually useful models side.
Zvi has some blogs on the AI community's reaction to it and analysing it.
Seems long. Might have to be expressed as a meme. 😆
Asimov wrote his laws of robotics as a dramic device to show how difficult it is to write laws of robotics. How they always will contradict each other.
His laws are there to illustrate a problem, not as a genuine attempt at the solution. His laws are deliberately wrong.
Anthropic's constitution is a proper attempt to solve the problem instead.
Surprising that it ends up written in English rather than maths.
Perhaps the robot will translate it into maths later.
There's a lot of thorny philosophy in it if you assume the premise that a super-intelligent machine can be built, even if known methods can't build it.
We should do that philosophy whether the premise turns out to be true or false.
Anthropic are doing much better on the AI ethics than openAI. And the business side, and the building actually useful models side.
Zvi has some blogs on the AI community's reaction to it and analysing it.
Seems long. Might have to be expressed as a meme. 😆
In other AI news, everyone's talking about the Social Network For AIs, no humans allowed.
Those AIs are just as stupid as the humans, all flocking to this centralised owned social network that's bound to enshitify 😆
To judge from Scot's blog they post mad shit about the nature of robot consciousness and give each other tips on how to best help their dumb humans.
Asimov wrote his laws of robotics as a dramic device to show how difficult it is to write laws of robotics. How they always will contradict each other.
His laws are there to illustrate a problem, not as a genuine attempt at the solution. His laws are deliberately wrong.
Anthropic's constitution is a proper attempt to solve the problem instead.
Surprising that it ends up written in English rather than maths.
Perhaps the robot will translate it into maths later.
There's a lot of thorny philosophy in it if you assume the premise that a super-intelligent machine can be built, even if known methods can't build it.
We should do that philosophy whether the premise turns out to be true or false.
Anthropic are doing much better on the AI ethics than openAI. And the business side, and the building actually useful models side.
Zvi has some blogs on the AI community's reaction to it and analysing it.
Seems long. Might have to be expressed as a meme. 😆
Bush Terminal, 13° F.
A quote from "Animal House" that fits #Google #Chrome "Auto Browse" Agentic AI
Google says YOU are responsible for all actions their agentic #AI tak es on your behalf. So when things go wrong, a classic line from "Animal House" (1978) seems to apply:
Otter to Flounder: "You f*cked up. You trusted us!"
If you write about the messy reality behind "free" internet services: we're seeing #OpenStreetMap hammered by scrapers hiding behind residential proxy/embedded-SDK networks. We're a volunteer-run service and the costs are real. We'd love to talk to a journalist about what we're seeing + how we're responding. #AI #Bots #Abuse
This is a damning article from the Wikipedia editors on GenAI articles written for Wikipedia: https://wikiedu.org/blog/2026/01/29/generative-ai-and-wikipedia-editing-what-we-learned-in-2025/
AIs Are Getting Better at Finding and Exploiting Security Vulnerabilities
From an Anthropic blog post:
In a recent evaluation of AI models’ cyber capabilities, current Claude models can now succeed at multistage attacks on networks wi... https://www.schneier.com/blog/archives/2026/01/ais-are-getting-better-at-finding-and-exploiting-security-vulnerabilities.html
🚨 AI agents are outnumbering employees 80 to 1. Are you monitoring them?
🔎 Jason Martin of Permiso explains why non-human identities are the biggest security gap in the enterprise today
https://thedataexchange.media/jason-martin-permiso/
#CyberSecurity #AIAgents #AI
Pro-AI super PAC Leading the Future has raised more than $125 million to try to shape the 2026 U.S. midterms and the future of federal AI regulation.
@axios reports: "States are racing ahead with regulating AI, while companies are looking to Washington to set a single, industry-friendly federal standard."
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