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techcrunch.com 9mo ago

Spyware maker NSO Group confirms acquisition by US investors

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10pts2
www.bloomberg.com 11mo ago

Tesla Dojo Went from Essential to Shut Down in 12 Months

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cloud.google.com 1y ago

A full-stack approach to power and thermal fluctuations in ML infrastructure

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slatestarcodex.com 3y ago

Moderation and R/Slatestarcodex

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blog.nickwinter.net 4y ago

The 120-Hour Workweek (2013)

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www.incompleteideas.net 5y ago

The Bitter Lesson (From AI Research)

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prospect.org 5y ago

The Problem with the ‘BlackRock Buying Houses’ Meme

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cacm.acm.org 5y ago

A Domain-Specific Supercomputer for Training Deep Neural Networks

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joshvarty.github.io 6y ago

AlphaZero and Monte Carlo Tree Search

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joshvarty.github.io 7y ago

Visualizing Recurrent Neural Networks

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www.twitch.tv 7y ago

DeepMind StarCraft II Demonstration [video]

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joshvarty.com 8y ago

Intro to Convolutional Neural Networks

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www.sec.gov 8y ago

SEC Emergency Action Halts PlexCoin ICO

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blogs.msdn.microsoft.com 9y ago

Shutting down CodePlex

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mccormickml.com 9y ago

Word2Vec – The Skip-Gram Model

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www.bloomberg.com 9y ago

Beyond 'Flash Boys': Brad Katsuyama Q&A

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security.stackexchange.com 9y ago

Is it dangerous to compile arbitrary C?

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joshvarty.wordpress.com 10y ago

Exploring Edit and Continue with Roslyn

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blog.comealive.io 10y ago

Performance in .NET – Boxing

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m.thestar.com 10y ago

Google helps Waterloo's Velocity incubator to expand

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blog.comealive.io 10y ago

Alive v1.0 – Live Programming for C#

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www.hanselman.com 10y ago

OpenSSH for Windows - From Microsoft

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github.com 10y ago

LLILC at Six Months – A Retrospective

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blog.slaks.net 10y ago

The Web Authentication Arms Race – A Tale of Two Security Experts

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blog.slaks.net 10y ago

The Web Authentication Arms Race – A Tale of Two Security Experts

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medium.com 10y ago

No, Mark Cuban, this tech bubble is not worse than 2000

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github.com 10y ago

C# 7 Proposal: Nullable reference types and nullability checking

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gbracha.blogspot.com 10y ago

Debug Mode Is the Only Mode (2012)

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blog.comealive.io 10y ago

Working Toward Bret Victor's “Learnable Programming”

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c2.com 10y ago

Why is Smalltalk Dead?

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87pts61

The cynic in me thinks this will go down in history alongside asbestos, leaded gasoline/paint, and the opioid crisis.

Can you elaborate? Leaded gasoline is estimated to have contributed to the deaths of like tens (hundreds?) of millions of people. Asbestos probably millions.

Why would high RAM prices be remembered alongside these events?

This is not the only possible outcome. Another approach would be not to offer software within the affected region. U.S. local news is often not available to European visitors now due to GDPR. Similarly, Canadian news outlets are not available on Facebook due to Bill C-18. If I was an indie game developer I would consider this approach and simply avoid selling within California.

Larger game studios would likely adjust as you say. However they too could adjust in such a way that they only offer subscriptions within California as that appears to exempt them from this rule. Many outcomes are possible beyond simply adjusting to the legislation in the way you are suggesting.

But if someone claims that the trend toward increasing AI capabilities will never reach some particular scary level, then the burden is on them to explain either:…

This is not the context in which I hear about sigmoids vs exponentials. I hear it in regards to “the singularity”, not that AI won’t reach some pre-specified level. You may get AGI, you aren’t getting a singularity.

Blendle, Scroll, Flattr and several others have attempted this. It turns out no consumer actually wants to do this, it’s primarily an idea that’s invoked on HackerNews to defend not subscribing to journalism while using ad blockers, it’s not a real business model.

The piracy comes first, and it's exactly the same thing. GenAI Corp. can't train models on illicitly obtained media before illicitly obtaining said media.

My contention is that this is not happening. Most generative AI companies do not source their training data from illegal torrents and the few that do are currently paying for it. Further, I suspect the companies that get away with it today are _smaller_ not larger.

Training data is typically sourced by scraping the publicly available web.

Of course it's not the same thing -- it's way worse.

Setting aside your own moral standards here, we should at least be able to agree that from a legal standpoint training a model is not copyright infringement.

where infringing copyright is legal as long as you're rich.

This isn’t true. A rich person and a poor person can train LLMs on copyrighted material in 2026. How they acquired those materials matters. Wealthy corporations hold no legal advantage in this space. For example, Anthropic recently settled for $1.5 billion due to acquiring books via piracy: https://www.nytimes.com/2025/09/05/technology/anthropic-sett...

My understanding is that an individual could likely pirate the same books without paying a dime (not due to differing legal standards but simply due to the fact it would be hard to identify them in many jurisdictions). In a practical sense it seems corporations are held to a higher standard in this regard.

The discrepancy is that some people equate training a model with piracy even though they are not the same thing. This is typically due to intellectual laziness (refusal to understand the differences) or willful misrepresentation (due to being an ideologically opposed to generative AI). No need to make such a mistake here though.

Can you elaborate on the collusion aspect? Is the implication that OpenAI and Anthropic are coordinating their purchases in such a way that they target the hobbyist market? What’s the collusion angle here?

because they create an instant exploit where the machine can be as bad as it wants as long as it hides behind the cogs.

The exploit is already there whether or not you blame the cogs. Did blaming the cogs in this instance solve anything? Are disability benefits reformed in any way?

By intentionally hiding their position (and simultaneously acting as though it is completely obvious) the OP shuts down any useful conversation that might follow. Do they think Meta will sell the user's data? Do they think different people are in charge of different policies at Meta leading to actions that appear to be in conflict with each other? Do they think they will use this information to train AI models? Do they think they will use this information to serve Ads?

There are many interesting ways that the conversation could have been carried forward but there is no way to continue the conservation as the OP doesn't make it clear what they think.

The only thing I can say is: No I cannot figure it out, please tell me what you're trying to say here.

Goodbye to Sora 4 months ago

We’re just replaying the CGI debate from the 2010s. It was popular to hate on CGI because it was obvious and bad and low quality and practical effects were better because of…

We learned two things from this debate:

1. What most people hated was actually just “bad CGI”. Good CGI went entirely unnoticed.

2. A generation of people were raised with CGI present in almost every form of professional media (i.e. not social media). They didn’t have a preference for practical effects because the content they consumed didn’t really use them.

I expect the same thing to happen here. I don’t think many people want to consume AI generated content exlusively (like Sora’s app attempted). However I expect AI generated content to continue to improve in quality until it’s used as a component in most media we consume. You and I will eventually stop noticing it and kids will be raised with it as normal and the anti-AI millennials/GenX crowd will age-out of relevance.

Goodbye to Sora 4 months ago

I feel like in several years we’ll have much more capable video generation than Sora was capable of and we won’t look back at all.

You are attempting to perform a rhetorical sleight of hand here. You are well aware that linking to a Stack Exchange post and running WHOIS is not grounds for a DDoS as a measured response. In light of this fact, you attempt to portray it as “doxxing” to mislead people into thinking that someone’s identity or address was published against their will.

I encourage everyone to read the original article and make their own conclusion. Do not take this poster at their word.

This is great. Journalists are impeding the preservation of the historical record by blocking archivist traffic while simultaneously manhunting those archivists who find ways around their authwalls.

You are deliberately misrepresenting the situation. The journalists who block archivist traffic are not in any way connected to the blogger who was attempting to investigate the creator of archive.is. You have portrayed them as related in an attempt to garner sympathy for the creator of archive.is.

Here is an account of the facts: https://gyrovague.com/2026/02/01/archive-today-is-directing-...

and done a high-level pass on the rest.

Why would I read your book if you have not read your book?

Edit: I now understand what is going on here. This is an attempt to promote Zenflow. The GitHub account (https://github.com/amoilanen/) is Anton Moilanen who is an employee at Zencoder, the creators of Zenflow.

The account (https://news.ycombinator.com/user?id=jsontwikkeling) was created 86 days ago the same day as this Show HN post was created: https://news.ycombinator.com/item?id=46290617

It would probably be worth the moderator's time to see if this post was part of a coordinated upvote ring as well.