- generating types for APIs
- generating boilerplate based on existing code
- improving existing code (adding error handling, timeouts, things like that)
- Writing SQL repository boilerplate / queries
- Creating implementations against hand written tests
- Helping me understand and implement APIs from third party libraries
- Writing documentation
I've spent like $2 in the last month and have used over 100 million tokens.
It's doubled my productivity and unlocked work that I could not have done before.
As an Australian, I'm not sure that I care about the safety of my data when it comes to LLMs. US companies already stole scores of data to train their models on and it's hard to imagine they suddenly grew some integrity. I'll care when regulators step in, until then it's out of my control so I'll just use the best price-to-productivity product available.
If you expanded the list to very hard research tasks, Fable was so far ahead of the others that it doesn't even deserve debate. If you are a researcher doing something involving scientific computation or mathematics that wasn't rejected by the guard rails, and you were using Fable, that week was probably your most productive week ever. A couple of my PhD students effectively finished their current projects in that period by getting Fable to chew on it for 30 hours straight (not sure how I feel about that).
Open weights models are only 4.5 months behind closed weight ones.
The fact that US considers propping its flagship technology by blacklisting competitors demonstrates how small the US competitive advantage really is.
The CLOUD act, FISA rulings, the Snowden leaks, and now the aggressive tech oligarch push to weaponize the unholy combination of AI, MAGA, and social media algorithms in an absurd and patently obvious attempt to impose (or maintain?) "world domination" seems likely to cement their downfall.
"Authoritarian" China's low-cost and open source approach looks downright democratic by comparison.
It seems increasingly clear to me that AI is forcing a reckoning in terms of how we interpret authority and control in light of new ways that information is evolving. The old political labels seem grossly insufficient to describe the present reality and the ones whining about "democracy", "freedom", and "liberal values" increasingly sound (and act) like bitter, out of touch old men desperately clinging onto a world that is rapidly outgrowing them.
Last time I checked, the closest approximation of liberal values are "liberty, equality, fraternity". They seem to think that "liberty" should only apply to them, "equality" is a threat to their consolidated power, and "fraternity" is something that should be weaponized to turn communities against one another to distract from the ways the oligarchs have been and continue to abuse and consolidate their power.
> As an Australian, I'm not sure that I care about the safety of my data when it comes to LLMs. US companies already stole scores of data
I'm not sure I understand this. I'm not defending the US, but isn't your data being in more hands worse?Also, isn't Australia in a more contentious situation with China? Them being more allied with the US and all? Not to mention the whole nuclear sub issue. Having data stolen is shitty either way but isn't data taken by an adversarial country a worse situation?
I use it via claude code, just pointing the api to deepseek.
It's also not a clear "Opus 4.8 >> DS 4 Pro", I've done 16 tasks in 4 days across the two, and while Opus was indeed on average better, both models performed well being able to handle most of my workload.
In fact DeepSeek was _significantly_ better on 3 task out of 16 and Opus was _significantly_ better only in 2 out of 16.
So why I still claim Opus 4.8 to be the winner? Because the few times that DS failed or got off the rails, it failed much harder and needed several prompts to be realigned on the actual tasks.
Another thing at which Deepseek is significantly behind is code reviewing. Opus is more intelligent/thorough, Deepseek will sometimes generate bogus or low quality feedback.
And the last thing at which Opus is better, period, is vibe coding. If you want to implement features end-to-end it handles ultracode flows quite better. I don't vibe code at work, but I do so with personal projects.
But the cost concern is real. I've spent sub 2$ in 5 days of work using DS 4 Pro, which is on average just 4 queries to Anthropic.
Give me a slightly better DS 4 (it is still in preview and training isn't finished) and I may ditch Anthropic for good.
Can you be specific about what data of yours were stolen by who?
AFAIK the Chinese AI companies barely depend on US goods and services, except for nVidia GPUs which were export restricted anyway, so it doesn't seem to be very consequential (see Z.ai). For the RAM maker CXMT it could be a lot more problematic though.
For that matter, does (only) NVIDIA make datacenter cards? When I buy a gaming card, I dont buy from NVIDIA, I buy from an integrator, like Gigabyte, who work with a company like Foxconn to make the cards.
those export restrictions are a joke. when they were introduced, there was a sudden spike in NVIDIA GPU exports to surrounding Asian countries. and the US government knows this
CXMT memory maker will not be banned, because US AI labs are salivating at the idea of more RAM supply, and are lobbying hard to prevent restrictions
This is a complete joke. The malicious clowns behind this should be removed from power and prevented from ever holding any position of power in any form of governance system.
You can try to pry Qwen and Deepseek from my Graphene/Linux hands.
The next step of course will be to get people using that ungodly cheap AI on Chinese servers. Which will also be defended because "I would never trust an American Lab".
"American AI is already trillions of USD underwater, so let's use US gov to build us a moat by making competition illegal"
As soon as DeepSeek came out I realized what was going on: China was going to make sure that no US company was going to "own" AI. It is an issue of national security. It's why the US essentially blocks US tech companies to maintain sovereignty.
I'm reminded of the browser wars of the 1990s that led to the antitrust suit against Microsoft. Microsoft used the "commoditize your complement" strategy [1] against Netscape. The US has blocked the export of not only EUV lithography but high-end chips to China. China doesn't want to be dependent on US platforms or policy.
So China is going to make sure there are open source models available and the US government is going to try and stop them to protect US tech companies.
Oh, won’t someone think of the poor mass copyright infringers.
"Tariffs", "bans", "national security", "ban, ban, ban"! When they are winning
Cute capitalism is ruling the US.
US government will point to Chinese models and companies, saying it is a risk - just as the west did with Huawei - making it a none choice for brainless corporate people to choose what the choir preach.
Pure politics
Fable is getting more attention now precisely because it was taken down. Do the same to DeepSeek and Z.ai, and you will not strengthen your AI labs. You will likely achieve the opposite.
The world economy is not a zero sum gain, we all do better when we do better
Cooperate with China, love and cherish them.
Unlike us of European heritage, they are not imperialistic
Get over yourselves!
The Trump administration lists Anthropic as a security risk and kneecaps its best model, despite the fact that compared to the other frontier US labs Anthropic is more transparent, more safety-oriented, frequently honest to a fault, and is clearly acting with patriotic intent.
Meanwhile, the same administration is hesitating to counter certain Chinese companies' efforts of industrial-scale theft and sabotage due to a fear of angering the CCP!
This administration has it exactly backwards. 4.5 months until election day, 7 months until the next Congress is sworn in.
Their website literally has chinese characters on it even in english mode and everyone under the sun including crappy money talk show hosts know them as the chinese player that undercut western players. It's not exactly a secret.
You'd think anyone with two brain cells and confidential data could apply some judgement of their own...