So long as there are big players releasing open weights models, which is true for the foreseeable future, I don’t think this is a big problem. Once those weights are released, they’re free forever, and anyone can fine-tune based on them, or use them to bootstrap new models by distillation or synthetic RL data generation.
Unfortunately, this is not going to receive much condemnation from the West given current conditions. The US doesn’t give a crap about this kind of this anymore. The EU needs Turkiye onside geopolitically… not to mention any objections from them are too easily brushed off as hypocrisy given the Romanian situation + efforts to disqualify Le Pen. It’s probably why Erdogan chose to act now after tolerating Imamoglu’s presence for the past few years.
The strangest twist to this is that Deepseek itself seems to be the only company not trying to cash in on the Deepseek frenzy:
Liang [Deepseek’s founder] has shown little intention to capitalise on DeepSeek’s sudden fame to further commercialise its technology in the near term. The company is instead focusing the majority of its resources on model development…
These people added the independently wealthy founder has also declined to entertain interest from China’s tech giants as well as venture and state-backed funds to invest in the group for the time being. Many have found it difficult to even arrange a meeting with the secluded founder.
“We pulled top-level government connections and only got to sit down with someone from their finance department, who said ‘sorry we are not raising’,” said one investor at a multibillion-dollar Chinese tech fund.
Canada needs to redirect most of its defence spending to asymmetric warfare. You know, the same advice US consultants give to Taiwan to make a PRC occupation more expensive to contemplate. Forget about big ticket items meant to support the US in its overseas wars; start investing in mines, guerilla equipment, etc.
It’s strongly dependent on how you use it. Personally, I started out as a skeptic but by now I’m quite won over by LLM-aided search. For example, I was recently looking for an academic that had published some result I could describe in rough terms, but whose name and affiliation I was drawing a blank on. Several regular web searches yielded nothing, but Deepseek’s web search gave the result first try.
(Though, Google’s own AI search is strangely bad compared to others, so I don’t use that.)
The flip side is that for a lot of routine info that I previously used Google to find, like getting a quick and basic recipe for apple pie crust, the normal search results are now enshittified by ad-optimized slop. So in many cases I find it better to use a non-web-search LLM instead. If it matters, I always have the option of verifying the LLM’s output with a manual search.
Maybe, maybe not – but I’m discounting anything the UK government says on Internet-related issues, so long as they’re trying to insert encryption backdoors into everything. For all we know, this is just an attempt to blackmail Apple and Google over the encryption thing.
Pretty much inevitable. Nowadays there are so many robot vacuum cleaners from different brands, and everyone has more or less figured out the tech so they all work pretty well. (I have a Roborock, and have nothing to say about it other than it keeps the floors clean and doesn’t cause me any grief.) There’s no moat, so consumer market success is purely a matter of manufacturing and cost efficiency, and iRobot obviously would have a huge upfill fight against Samsung, Xiaomi, and a thousand other light consumer goods makers.
Pokemon battle, 3v3
Google search results are so terrible that at this point it’s a mercy.
Alternative take: Li Ka Shing took advantage of the Trump bullshit to sell off two port operations at the top of the market, right before a global recession. CK Hutchinson’s share price went up by a fifth when this deal got announced; Blackrock is down.
Dylan’s just being deliberately obtuse. Deepseek developed a way to increase training efficiency and backed it up by quoting the training cost in terms of the market price of the GPU time. They didn’t include the cost of the rest of their datacenter, researcher salaries, etc., because why would you include those numbers when evaluating model training efficiency???
The training efficiency improvement passes the sniff test based on the theory in their paper, and people have done back of the envelope calculations that also agree with the outcome. There’s little reason to doubt it. In fact people have made the opposite criticism, that none of Deepseek’s optimizations are individually groundbreaking and all they did is “merely engineering” in terms of putting a dozen or so known optimization ideas together.
Slightly off topic, but the writing on this article is horrible. Optimizing for Google engagement, it seems. Ironically, an AI would probably have produced something vastly more readable.
Rare earths to begin with. There will be more demands.
“Via Greenland” makes no sense. The trouble with Canada-Europe trade is that Canada unfortunately lacks a good port on its east coast (certainly nothing comparable to Vancouver in the west). For the foreseeable future, if the trade dispute with the US drags on, Canada’s best bet is to expand its trade with Asia.
They have no armed forces. Panama always assumed that because of the importance of the canal, in case of external aggression the US will step in to defend them. LOL.
It’s an interesting subject. If not for Beijing’s heavy hand, could Chinese internet companies have flourished much more and become international tech giants? Maybe, but there is one obvious counterpoint: where are the European tech giants? In an open playing field, it looks like American tech giants are pretty good at buying out or simply crushing any nascent competitors. If the Chinese did not have their censorship or great firewall, maybe the situation would have been like Europe, where the government tries to impose some rules, but doesn’t really have much traction, and everyone just ends up using Google, Amazon, Facebook, etc.
I feel like Musk doesn’t have much to work with in UK politics. In the US and continental Europe, his pattern has been to find the “barbarians at the gates” and use his resources to help open up the gates. In the UK, the barbarians kinda already sacked the city a while ago with Brexit. There’s not much left that Musk can do to mix things up.
The Turing Test codified the very real fact that computer AI systems up till a few years ago couldn’t hold a conversation (outside of special conversational tricks like Eliza and Cleverbot). Deep neural networks and the attention mechanism changed the situation; it’s not a completely solved problem, but the improvement is undeniably dramatic. It’s now possible to treat chatbots as a rudimentary research assistant, for example.
It’s just something we have to take in stride, like computers becoming capable of playing Chess or Go. There is no need to get hung up on the word “intelligence”.
LLMs aren’t capable of maintaining an even remotely convincing simulacrum of human connection,
Eh, maybe, maybe not. 99% of the human-written stuff in IM chats, or posted to social media, is superficial fluff that a fine-tuned LLM should have no problem imitating. It’s still relatively easy to recognize AI models outputs in their default settings, because of their characteristic earnest/helpful tone and writing style, but that’s quite easily adjustable.
One example worth considering: people are already using fine tuned LLMs to copilot tabletop RPGs, with decent success. In that setting, you don’t need fine literature, just a “good enough” quality of prose. And that is already far exceeding the average quality that you see in social media.
The “cheap Chinese labor and lax laws” thing is not exactly the issue, at least not these days. The thing is that Chinese industry has spent decades working out how to refine these minerals, and they’re the only ones who are now able to do it at scale. So other countries that extract and process rare earths (which as noted aren’t actually that rare) often ship semi-processed ore to China for final processing.
Sure, other countries can replicate these capabilities if they’re willing to put in the effort. It’s like China’s challenge with EUV lithography, but in reverse. It will take significant time. Also, building up a rare earths processing industry probably involves not just spending capital, but also major environmental risks while you’re doing your trials.