bwfan123

6 ms·

61.
by bwfan123 3mo ago
> For the Code Agent tasks among the public benchmarks above, DeepSeek-V4-Flash-0731 is evaluated with the minimal mode of DeepSeek Harness (to be released) as the agent framework So, are they planning to announce an optimized coding age
62.
by bwfan123 3mo ago
I guess it gets bigger with each passing day. Tens of billions goes to Hundreds of billions.
63.
by bwfan123 3mo ago
> Not understanding to the core the software you wrote, is going to exploded in your face. Short-termism at its peak. Code maintainers will learn the hard way how to set the boundaries between ai-generated code, and human maintainable co
64.
by bwfan123 3mo ago
There needs to be wider reporting of this if it is true. Where are the journalists ? If this is true, it is scorched earth on the world's knowledge base. And the business models are not proven yet. I can now see why some ai companies p
65.
by bwfan123 3mo ago
> Well its clearly a stunt. If it wasnt we would probably be up to our ears in technical detail. LLMs are the script kiddies of the day.
66.
by bwfan123 3mo ago
Tax codes are a great example of something changing frequently, and something very nuanced. So, the training data doesnt exist for a future year's return while are rules are already changed. So, instead of math/programming, tax co
67.
by bwfan123 3mo ago
I was waiting for the announced customer of Meta's excess AI capacity. Lo and behold, it is Anthropic. At this point, openai and anthropic have no problems announcing these deals because is good narrative, and helps them raise funding
68.
by bwfan123 3mo ago
Love the writing style, and I wish all math was written this way. These articles are accessible to anyone who has had some high school math background, and paints a historical backdrop on how the sausage was made (with links to the original
69.
by bwfan123 3mo ago
> There are open source alternatives that have >90% of the functionality, they'll even work w/ Excel files and generate them Excel has network effects. If N people are using excel, the incremental N+1'th user is forced
70.
by bwfan123 3mo ago
> So, the whole brouhaha was so that Anthropic can write this blog post? Remember mythos ? I was half-expecting them to scare us with a new danger: How AI can covert code into other languages, and confuse the hell out of all of us.
71.
by bwfan123 3mo ago
So, you have a vibe-coded TUI which happens to work, and then, as a workaround you vibe-translate its engine to make it more performant. Where does that leave you ? Basically, fully dependent on AI to fix whatever breaks. Workaround on a wo
72.
by bwfan123 3mo ago
> it usually is good enough for most tasks The model is fantastic. And costs almost nothing. The only problem I see is that they will train on your data. There are zero-data-retention providers of DeepSeek models, of which I have used op
73.
by bwfan123 3mo ago
> I never truly understood what the intended business model around LLMs was What appeared initially to be a huge innovation was later easily duplicated by many. There are no platform-lockins or network effects. Switching costs for users
74.
by bwfan123 3mo ago
> who do you make money from? When you own stock at a broker in a margin account, you may sign an agreement to allow the broker to lend out your stock to someone else. For lending your stock, you are entitled to a stock-borrow fee which
75.
by bwfan123 3mo ago
> but the whole gang of frontier labs, breastfed with a mix of VC money and pension funds from the average Joe, is being pressured by Chinese lab Can you point to data that suggests rate of token revenue growth is slowing ? This announce
76.
by bwfan123 3mo ago
> AI is largely automating the most tractable parts of science rather than expanding its frontiers By definition, creativity cannot be automated, and AI is a fantastic automation machine. It can explore thinking paths at a rate humans ca
77.
by bwfan123 3mo ago
> For almost everything else, the answer is no. No one else would pay the real costs to run them. It'll require the whole industry to shrink down massively compared to what we're seeing now - down to a profitable (and much smal
78.
by bwfan123 3mo ago
Circular financing is a dead horse - dont beat it. Instead, what is more interesting could be: Is there a path to these builds becoming economically profitable ? Towards this, some metrics to watch are: 1) ROI per token per dollar 2) Enterp
79.
by bwfan123 3mo ago
> I'm below $1 writing code all day. same, pi as a harness works best, better than claude code and open code.
80.
by bwfan123 3mo ago
> All these "rewritten in rust" projects only reinforce the idea that a significant part of the rust community consists of software talibans and not of engineers who must deliver something that works and is reliable over time.
81.
by bwfan123 3mo ago
yea, I found LLMs poor at reasoning through system-wide behaviors. Good luck to the vibers when they try to rootcause a rare data-corruption problem. They will hand it off to fable which will attempt trial-and-error bug fixes which will eve
82.
by bwfan123 3mo ago
Doesnt this prove that there is really no moat in proprietary models for coding usecases, or the gaps is narrowing ? Also, since GLM5.2 can be run equally on amd and nvda, I guess there is no hw moat either. Further, switching costs for use
83.
by bwfan123 3mo ago
> written in some kind of self-aggrandising, wooey wonderous They are drunk on their own kool-aid. To the rest of us it is very annoying, and makes me want to say: it is just a freaking weights machine, stop.
84.
by bwfan123 4mo ago
The bigger story here is that the AI agents were not effective. This is a huge admission and explains why Anthropic, OpenAI, and now Microsoft are creating giant teams of FDEs (forward deployed engineers). It ties in with Meta becoming a GP
85.
by bwfan123 4mo ago
> fact that the mechanism is clearly weaponized for marketing There is a lot of dumb money chasing the AI dream. That money is not asking hard questions about return on investment yet. But, the narrative is starting to shift as evidence
86.
by bwfan123 4mo ago
> It’s really hard to build a coherent pro-AI argument agree, given that we have a natural tendency to believe what we read - or only comprehend what we believe [1]. [1] https://bear.warrington.ufl.edu/brenner/mar758
87.
by bwfan123 4mo ago
> I wanted to keep getting better. And the only door to that is the one ego keeps slamming shut. Koan to the author: What was never lost can never be found.
88.
by bwfan123 4mo ago
> The value is in the feeling of euphoria you get when dominating the other person by being unequivocally right Frequently accompanied by a feeling of despair when you are dominated by another. > The fact that this thread even exists
89.
by bwfan123 4mo ago
Brandolini's law in action. It takes 10x more effort to refute BS than to generate it. Reviewing code is refuting. So is verifying the correctness of propositions. Generating propositions is easy, Refuting it requires proving the truth
90.
by bwfan123 4mo ago
> if it runs, it runs, regardless of who or what made it. If it fails to run who is responsible to fix ? Problem with AI is that it does not have causal-models of how something works, and the reason for that is that it doesnt interact wi

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