metalspot
the underlying economics are unescapable. when there was a glut of RAM because no profitable uses existed for it manufacturers shoved it into consumer products because "bigger number is good" but it produces very little utility sitting idle in consumer devices.
No, they are not. The US legally recognized Taiwan (fka Formosa) as Chinese territory in 1943 and 1945 and legally recognized the PRC as the sole legal government of China in 1979, following a similar recognition by the UN in 1971.
https://www.congress.gov/crs-product/IF12503
There are only 11 countries in the world that recognize Taiwan as a sovereign entity and the largest are Guatemala, Haiti, and Paraguay.
https://en.wikipedia.org/wiki/International_recognition_of_T...
"pathologically lying" is an anthropomorphic miscategorization of a deterministic next-token prediction function. an information processing machine can't lie. it might have defects, but it is the responsibility of the operator to understand and correct for its error cases.
in the US, no you are definitely not allowed to do this, as it would violate several fundamental constitutional rights.
tough luck. with an attitude like that yngmi.
> illegal
do you think the russians, chinese, israelis, iranians, north koreans, and a million other profit motivated adversaries gaf about what is legal?
The key thing is tool use.
The model is fixed but tool use introduces new information into the system, so once you have a model that is good enough to effectively use the full suite of tools available (debug, test, profile, etc) and write code to effectively combine them and synthesize their results for a particular task, there is nothing that it can't solve.
New models are continually ingesting new information from usage, and embedding the results from people running this process back into the base model, which makes it more efficient, gets more things right the first time, etc, but there is no step gap in functional outcomes left.
Computing and programming are a limited domain with a small fixed set of constructs that can be applied in an infinite number of combinations. Nothing ever closes the gap between the ability of the model to automate the assembly of these constructs and the necessity of expert human direction to pick what system to build out of the infinite range of possible systems.
Frontier models can keep producing very expensive one-shot demos to pitch to investors but they are never going to replace engineers.
it is what it is. the judicial system was massively overloaded before AI. now every two-bit lawyer can handle massive case loads with AI powered systems, and once that hits pro se apps, it will be a tsunami. AI powered adjudication is going to happen by necessity whether people like it or not.
All of the compute being built will be consumed very profitably, that profit just won't be captured by delusional weirdos who believe they can build an AI god because machine elves showed them the future in a DMT trip at a poly sexy orgy, or whatever the case may be.
Anthropic looks like Wylie Coyote spinning their legs in open air at the moment. They are fucked from so many angles it is hard to comprehend how anyone would buy their bags.
Simple question: What is their IP? What are you actually buying? They didn't invent anything. They have no IP. They copied other people's IP and did a mediocre job of it.
There are a half dozen Chinese companies who can build the same thing, better, for a tenth of the price, and will give it away just to fuck with the US. If you are buying Anthropic you are buying a ticket to a hurt box where you are going to get relentlessly pummeled from all sides until your capital turns to ash.
On top of all this, the company is run by an incompetent psychopath and a bunch of dumb cultists, who are blacklisted by the US Military, and have at least another 2 years of the current admin doing everything possible to cripple their company.
What is the story for how you succeed in the most important strategic technology of all time when you are blacklisted by your government's military? There is no story because you simply don't exist in that scenario.
An implementation must be a third party product that is using a product provided by the DeepSeek corporate entity.
The DHS order only bans buying DeepSeek products directly (e.g. doing inference on their China hosted servers). It does not apply to open weights at all. And DeepSeek just gave their response to the DHS order.
If you read the justifications for the order, there are zero mentions of open weights data or associated risks, and everything focuses on the use of DeepSeek commercial products with regards to their being hosted in China. The only mention that maybe could apply is "The models themselves may contain malware or other security vulnerabilities." but this is followed with another reference to a DeepSeek commercial product: "Indeed, open-source security research has found that the DeepSeek iOS mobile application contains multiple critical vulnerabilities."
The findings that form the basis of the order make no claims or references to open weights data at all, and plainly focus entirely on DeepSeek commercial products, so any attempt to apply the order to open weights data used by non-DeepSeek affiliated inference providers has not basis at all.
> For purposes of this Order, an individual or business is an "affiliated entity" or "affiliate" of DeepSeek AG if, directly or indirectly, either one controls or can control the other; or a third party controls or can control both.
This does not apply to open model weights, which are not a product or service, and does not apply to independent hosts of model weights if they have no affiliation with DeepSeek as defined.
They made very bad bets on scaling, which has cost ~10B scale in wasted capital allocation, but it is manageable. Their purchase commitments for future compute capacity are absurd nonsense, but all of that is just shtick for retail investors, and they will reshuffle the deck as needed to adjust.
most law firms are basically assembly line processes that have one fixed specialty, with a small set of claims that they will file, and typically targeted at insurance companies, so there is very little real practice of law. you just set up your assembly line to scam insurance in your particular niche and then search for clients that fit your cut out. LLMs can definitely disrupt this model in interesting ways.
the problem is that they are not ahead. they are ahead on producing one-shot demos, which are useless party tricks, but when it comes to shipping real products these large models are just a big expensive waste of time and what you need is deterministic systems that integrate small efficient purpose built models in the places where they are actually the best solution for the problem.
the anthropic game plan was to wrap the entire software industry up in a magic box called "AI" and then rule the world but these people are delusional and their house of cards is rapidly collapsing. the technology is real, but they didn't invent it and they don't own it. it is kind of amazing to think of a $2T company with zero IP ... they didn't invent a single thing that they are selling, and for the most part they are implementing it worse, and serving it less efficiently than at least a half-dozen other competitors.
almost certainly not. writing down threats in your own personal chat session is like writing in a diary. there is no communication to any other person, so the idea that this is actually criminal is highly unlikely and it almost certainly won't be charged. it's a pretext arrest for police to assess the threat, which is not entirely unreasonable, but it is not a crime.
> The arrest report states that on Sept. 26 at approximately 5:10 a.m., Heller reportedly wrote, "I'm going to shoot up the sheriff's right the [expletive] now." The following day, at approximately 1:07 a.m., she was accused of posting, "This is 100% last chance I'm done. I got a new [expletive] gun today. [Expletive] you."
this is certainly reads as somebody venting in what they believed was a private personal space.
i guess using claude for mass surveillance is ok when anthropic does it. once again why nobody takes these high horsing hypocritical liars seriously.
it is trivial now to create synthetic multi-platform personas that generate real looking post histories at unlimited scale. the baseline assumption should be that everything on the internet is fake until proven otherwise.
this is delusional hubris from people who are not real engineers. anyone who actually writes high assurance software or does low level performance optimization knows that the only thing that matters is what can be demonstrated in reproducible tests.
the full stack requires about a 1000 different specialties that each require about 10 years of experience to master. and that is just one computer. we are building distributed systems of millions of these computers, operating at global scale, across dozens or hundreds of legal jurisdictions, which takes the complexity of a single computer, and multiplies it many times over, across several other dimensions.
anyone who thinks that they can understand the systemic effects of changing 0.00001% of this system by reading the code is a dangerously naive fool.
It is just a function. A next token prediction function. Garbage-in/Garbage-out is as true as ever.
Coding is solved. Specification and translating requirements into specifications is an unbounded domain and unsolvable by definition.
What LLMs change is that now you develop the specification through iterative implementation and testing.
You start with a weak specification which produces slop, then you progressively build the specification with different approaches to automated testing. The tests are the specification. Ultimately, what you ship is the tests. They are the only thing that proves the functionality of the program. An LLM can produce code that passes any test suite you give it. If the result is bad, the problem is not the code, the problem is the specification.
This is one of the most senior engineers at Amazon saying that human code review is dead: https://x.com/MarcJBrooker/status/2101005954708021604
Nobody at this level is "vibe coding." They are using LLMs as a tool in a whole suite of tools that they have spent decades mastering, and LLMs happen to be the most powerful tool ever created. When you understand the existing tool suite, and can integrate this new super tool, the results are order-of-magnitude improvements in velocity, with much higher levels of quality and assurance.
Anybody talking about "code," like it is actually important, simply lacks the perspective to understand this.
We went from punch cards, to assembly, to C, to interpreted languages, to frameworks, to AI, and every cycle had the exact same debates.
A lot of it is Ego. Everyone thinks they are smarter than they actually are and that their work is uniquely valuable.
Computer programmers are monkeys who get paid to press buttons. We get paid because we know which buttons to push and in what order. It's a great gig. It's made me more money than I ever imagined possible, and I have fun doing it, but the flip side is that it is the most competitive industry on earth.
If you slow down, fall behind, and refuse to adapt, you will get eaten alive.
I have some sympathy for people, but an the end of the day, if you want to get paid better that 99% of people on earth, you are going to have to work for it. That is not an entitlement, and if you think it is, you will not make it.