ankit219

7 ms·

1.
by ankit219 5d ago
if every one just coordinated, this would all be solved. i have been told in the past that any idea that starts with "if everyone just..." would likely fail, because everyone would not just. problem is dario's arguments are h
2.
Testing Anthropic's RSI Claims(ankitmaloo.com)
1 points by ankit219 1mo ago|0 comments
3.
by ankit219 2mo ago
llms are good at greedy depth first search[1]. so prompt / human needs to tell the model the breadth parts to take. and human writing the prompt here did a lot more than that. asking to include parallel-edge 2-cycles, admitting disconn
4.
Mythos/Fable-5 is a greedy Depth First Search system(ankitmaloo.com)
5 points by ankit219 3mo ago|0 comments
5.
How Anthropic trained Fable 5 => by analysing its reasoning traces(ankitmaloo.com)
7 points by ankit219 3mo ago|0 comments
6.
by ankit219 3mo ago
they are also working on activations (w4a8, w4a16 from what i know). if they deliver (and a big if), it means that given their market reach, they can dictate the way sub 100b parameter models are trained and served to a large extent, given
7.
by ankit219 4mo ago
at a gross margin level, mostly no. if you include the cost of training a model as full R&D then possibly yes. Batch size is what you should look at. If a cluster is running and processing one request, filling the batch has almost no ma
8.
LLMs give us a way to factorize intelligence(ankitmaloo.com)
1 points by ankit219 4mo ago|0 comments
9.
by ankit219 5mo ago
An interesting question to wonder is why these optimizations were pushed so aggressively in the first place. Especially given this is the time they were running a 2x promotion, by themselves, without presumably seeing any slowdown in demand
10.
by ankit219 7mo ago
this is good. problem is google's security concerns. when people connect gmail to openclaw, google flags the activity as weird and suspend the account because of unusual activity. Many whose accounts got locked because of this and they
11.
by ankit219 7mo ago
not much to do with self improvement as such. openai has increased its pace, others are pretty much consistent. Google last year had three versions of gemini-2.5-pro each within a month of each other. Anthropic released claude 3 in march 24
12.
by ankit219 7mo ago
> Batching multiple users up thus increases overall throughput at the cost of making users wait for the batch to be full. writer has not heard of continuous batching. this is no longer an issue. this is what makes claude code that afford
13.
by ankit219 7mo ago
People are misunderstanding Anthropic's fast mode because they chose to name it that way. The hints all point to a specific thing they did. The setup is costlier, its also smarter and better on tougher problems which is unheard of in t
14.
by ankit219 7mo ago
Agreed. Gemini 3 Pro for me has always felt like it has had a pretraining alpha if you will. And many data points continue to support that. Even as flash, which was post trained with different techniques than pro is good or equivalent at ta
15.
Show HN: Open-Source SDK for AI Knowledge Work(github.com)
21 points by ankit219 7mo ago|1 comments
16.
by ankit219 7mo ago
(author here) great paper to cite. What i think you are referring to is hidden state as in internal representations. I refer to hidden state in game theoretic terms like a private information only one party has. I think we both agree alphaz
17.
by ankit219 7mo ago
Bounded domains require scaling reasoning/compute. Two separate scenarios - one where you have hidden information, other where you have high number of combinations. Reasoning works in second case because it narrows the search space. Eg
18.
by ankit219 7mo ago
(Author here) I address that in part right there itself. Programming has parts like chess (ie bounded) which is what people assume to be actual work. Understanding future requiremnts / stakeholder incentives is part of the work which L
19.
by ankit219 8mo ago
> And they would have won the AI race not by building the best model, but by being the only company that could ship an AI you’d actually trust with root access to your computer. and the very next line (because i want to emphasize it >
20.
by ankit219 8mo ago
you are comparing post hoc narratives in the training data to real time learning from causal dynamics. The objectives are different. They may look the same in scenarios where its heavily and accurately documented, but most narratives suffer
21.
World Models(ankitmaloo.com)
28 points by ankit219 8mo ago|4 comments
22.
by ankit219 8mo ago
think this particular complaint is about claude ai - the website - and not claude code. I see your point though.
23.
by ankit219 8mo ago
Its a combination. All caps is used in prompts for extra insistence, and has been common in cases of prompt hijacking. OP was doing it in combination with attempting to direct claude a certain way, multiple times, which might have looked
24.
by ankit219 8mo ago
from what i know, it used to be that if you want to assertively instruct, you used all caps. I don't know if it succeeds today. I still see prompts where certain words are capitalized to ensure model pays attention. What i mean was not
25.
by ankit219 8mo ago
My rudimentary guess is this. When you write in all caps, it triggers sort of a alert at Anthropic, especially as an attempt to hijack system prompt. When one claude was writing to other, it resorted to all caps, which triggered the alert,
26.
Every big lab is putting resources in building world models(ankitmaloo.com)
2 points by ankit219 8mo ago|0 comments
27.
by ankit219 8mo ago
Like it or not, it's a fundraising strategy. They have followed it mutliple times (eg: vague posts about how much their inhouse model is writing code, online RL, and lines of code etc. earlier) and it was less vague before. They releas
28.
by ankit219 8mo ago
While the threat is unreasonable, why does Italy wants a site banned globally? Why is it even considered a debate?
29.
by ankit219 8mo ago
Not the same. they have usage limits on subscription. I dont know about rate limits. Certainly not per request.
30.
by ankit219 8mo ago
Why would scheduling be a thing in this case? I might be missing something here. With continuous batching, you don't wait for entire previous batch to finish. The request goes in as one finishes. Hence the wait time is negligible.

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