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This isn't necessarily racism. The way the CCP rolls is pretty hardcore. If you're part of the diaspora they actively seek to correct behavior they disapprove of or influence you to advance the CCP agenda and when they do you WILL do what they say. Or else.

The first layer is friendly - money, gifts, favors. The second is threatening. The third is no holds barred. They will jail your family members[1] if they're still mainland. Stalk and harass your family even if you live in the US[2]. Weibo is generally the main conduit.

Given we've seen this playbook first hand executed for seemingly minor offenses to the state it isn't at all unreasonable to conclude Alice was under CCP influence in some way and probably significantly given Jensen's significance.

[1] Ex-FAANG employee had one of their parents jailed for nearly a decade for non-CCP aligned views

[2] Ex-FAANG employee, after sending nearly all their salary back to China for 5+ years to secure their parent's release reported stalking incidents from CCP agents in mainland USA. Same type of CCP agents that operate out of the 18+ Chinese Police Stations recently discovered in Canada.


You just reminded me of two things:

1. Their practices outside of china even, are aggressive and openly corrupt: https://netzpolitik.org/2021/wolf-culture-how-huawei-control... Which I think I first saw here on HN actually, IIRC

2. My parents, both were born behind the iron curtain in Germany in the 50s and 60s, so they spent only a little over half of their lifetimes, in technically the “western world”… they had some crazy stories how they and family friends were essentially pressured to do some morally questionable stuff, nothing like this of course. But it really isn’t that far fetched, and technically not that long ago…


If your service provider (read: money from you goes to them) treats you as a risk it's time to move on.

Unless you love the G / FB / Ant level of Zero Customer Support (ZCS) go elsewhere.

We screen all vendors to answer the question of "Is the money we send you appreciated or treated as a risk?"

This leads us to avoid vendors owned by the likes of Stripe / G / FB.

Good news is this is easier to implement than ever in an Agentic LLM world and is a net savings.


Can anyone confirm if they removed reverse engineering and/or offensive cyber from this release?

Rumors circulating they did, our internal test prompts related to RE throw errors of:

Oops! There was an issue connecting to Qwen4-Max-Preview. An unexpected error occurred. Please try again later, or report the issue by emailing feedback@qwen.com.

Later in the chat LLM says it was a block but unclear if that's the case or hallucination.


At https://fless.io we're turning the slog of finding an apartment into a lean back experience.

We help you skip the spreadsheets, endless emails, scheduling work and spammy building follow-ups while connecting you with vetted buildings, movers and other moving related services.

We just launched Chicago, New York and Santa Clara based on HN user requests and have more cities coming online each day. If you're looking for an apartment in a city we don't serve request it using the form and we'll send you an email when it goes live - usually a couple of days.

Or just point your favorite AI agent to https://fless.io/ai-agents and have them do it for you!


They absolutely won't stop. They will continue to do this manually - they already do / did. This software just saved them legwork.

And now they are using AI tools to handle the emails related to renting including price negotiation.

There is a non-trivial amount of data science work put into these tools with the explicit goal of keeping rents high and using all available data (ex. your credit score, history at other buildings they own, your payment history, local pricing landscape and tons more) to extract the maximum you're willing to pay.

Virtually all large landlords use them on just about every channel - email, website chat, SMS and even phone now.

This is why we created https://fless.io to level the playing field and bring some of the same tactics to the renter side in addition to saving the emailing / scheduling hassle.


It's not only fakes - there is always a very large gap between what is available and what is listed online in honest buildings. Humans not marking move-outs or lease signings in realtime always creates a gap as do move-in dates. Buildings tend to only list what's available until the end of the month not 60 or 90 days out when you may actually want to move.

The best solution is to contact the building but this is time intensive and you get a lot of spammy followup which is why we created https://fless.io to automate this process and help you find what is actually available and not just what zillow or the management company's website lists. It's still the best way to know what is truly available.


You made a fair point here. Sometimes the best listings just go away fastest. It's unfortunate that people use that excuse to cover their marketing operations, where they promise the best thing up front and then funnel would-be renters into worse situations.

+1 - we've been very happy on Paseo.

We like the web + mobile app orientation (available without an app store!) along with the high degree of control.

Anyone moved between Paseo and T3? Curious to hear what motivated you in either direction.


DeepSeek V4.1 Flash 1017, for a set of document extraction tasks we use, is the first model to step change move the cost per task down.

Serving via Deepinfra Flex at $0.0784 / $0.2352 / $0.0024 per M/tok is the least expensive cloud model we have ever benched by a wide margin.

This price / performance is probably the reason for the spike.


A third party in... Singapore? China?

This is dead on arrival just like their, very good, powerpoint building product.

Nobody in the western world wants their value added closed source services (submit your H2 strategy deck to their cloud? Your contracts? I think not) especially when they are priced increasingly close to frontier.

Z.ai doesn't fully appreciate the level of distrust by their clients from western markets for simply being Chinese origin.

They do have credibility but it comes from being both open and having extremely capable models.

Removing one of these pillars makes a marginal risk / reward tradeoff probably a nonstarter.

Maybe LATAM, BRICS, Middle East are more willing to accept a closed / relatively expensive value prop. But not US / EU.


I mean forget the international intrigue angle. Some jackass troll with some money to burn can file a frivolous lawsuit against you seeking discovery of this material. Either the cost of production or the risk that they can find something embarrassing to pull out of context (or maybe even something debatable as wrong doing) means you'll pay some extortionary settlement to make them go away.

Beyond the obvious possible profit motive these attacks can be arms length arranged by competitors or people with an axe to grind to trip you up and slow you down. Because your activity is valuable to you there is an asymmetry-- they can bring the action cheaply because they aren't risking much, but your defense is expensive because if you flub it you could lose everything.

Part of the value of a legal advisor generally and particularly something like a legal AI is that it lets you map risk surface: "What if we started selling all the customer secrets? would we go to ultra-prison?"-- you don't ask because you're going to do it, you ask to perform a sensitivity analysis, to know where the dragons are hiding, and to setup contingencies. For stuff you're actually doing/going to do you want advice backed by a team who can defend it if it goes wrong.

All of hosted AI is a big risk from the perspective of discovery-- but particularly or legal advice/research that seems extremely radioactive and a bad tradeoff.

If anything being outside of the west might be a slight asset on this risk-- as there is some chance that they respond to a subpoena with "bite me"... but that probably doesn't overcome the other concerns you raise.


It can only be this. And it will fail the same reason Alexa failed.

Nobody will blindly trust Amazon to buy products when they know Amazon cannot and will not truly suggest the best product for the consumer.

Alexa was supposed to be the voice gateway to purchasing. But nobody trusts the result Alexa picks because it will not default to the best value to the user - only the best value to Amazon.


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