sumitkumar

3 ms·

1.
by sumitkumar 13d ago
This seems a lot like fishing. Cast a wide net with claude to find and solve an 'unsolved' problem. Given this, it is not enough to verify the problem and the solution but also the history of the problem and if it really existed o
2.
by sumitkumar 20d ago
"In late 2020s, while the whole world was focussed on AI, automation and resultant economy four major mathematical study branches were discovered by human researchers which took AI a long time to catch up with"
3.
by sumitkumar 1mo ago
The libraries are there for avoiding repetition. It is useful on its own without other benefits like implicit/explicit boundaries, readability by humans etc. If all lego(base unit software) pieces were unique shaped it might fit your r
4.
by sumitkumar 1mo ago
It is based on Anthropic Uptimes. If anthropic wanted 99.999 they will have to acquire 10 times more GPUs/infra to match the traditional free resources of 99.999 services.
5.
by sumitkumar 2mo ago
Agree. Just pay attention to the follow up questions a learner is asking to see the progress. If the follow up is just "continue", "go on", "next" or a non-sequitur then it is smell of a stall. If it is challen
6.
by sumitkumar 2mo ago
With human devs, errors become recovery instructions. 400 Bad Request is fine for a client developer who reads it once at design time and fixes the code forever. it's dead weight for an agent that must self-correct from the string alon
7.
by sumitkumar 2mo ago
Google improved chrome by reading code: Google built an agent harness using Gemini to scan Chrome's codebase, trained on a knowledge base of prior CVEs and the entire Git history, with a "critic" agent consuming developer-sup
8.
by sumitkumar 3mo ago
electricity outage and battery running out is the end game for any real prolonged external emergency. Internet connection is just the soft edge.
9.
by sumitkumar 3mo ago
And the broken glass breaks the dishwasher. It is a feature: planned obsolescence.
10.
by sumitkumar 3mo ago
Can you please give some examples of the best tools/businesses which are being built like this? Genuinely curious. I know the vibe tech is really good but I don't know of any upstarts using it, everyone cool is building/distr
11.
by sumitkumar 3mo ago
Well, thank you for clarifying. The signal is getting lost in the noise. I assumed too soon after looking around just the datasette org github account and seeing so many repos and code being built so fast.
12.
by sumitkumar 3mo ago
Our leader is Boris Cherny. Simon needs to resist the pelicans(and the django mindset) and Garry needs a new loop which can loop on itself without any human trigger so that the agents can "dream" better. Who knew that it was not j
13.
by sumitkumar 3mo ago
I just went through the github project repository. It has 119 repositories. Is this how AI slop looks like in code? Made for the agents, by the agents? Is this separation of concerns or context management with agents as a first class resid
14.
by sumitkumar 3mo ago
Not that far. Lawyers had a great deal of influence in creation of all modern nation-states, human rights, international law and maintenance of the core social contract in the modern society. Similarly lawyers/bankers were the ones who
15.
by sumitkumar 3mo ago
This happens in any industry where value/status are at a premium. Finance, Law, VC guys were good too in the beginning but when the value/status change happens it attracts certain kind of guys who are average in talent but excel i
16.
by sumitkumar 3mo ago
Everything is extractive. Farmer plants seeds, partially sets the environment. The work is done by the seed/sun/soil/water. And so is every profession: labour or not. Most of the business are structured in such a way that som
17.
by sumitkumar 4mo ago
Documentation is worth it only if it is read. If your coworkers don't read/remember/respect the documentation process then people tend to not keep the docs up to date. Unless the docs are for users who you don't want to
18.
by sumitkumar 4mo ago
True, so the interference is the "computation"(heavy emphasis on quotes) which gives rise to the principle.
19.
by sumitkumar 4mo ago
By Fermat's principle, a ray of light has to know where it will ultimately end up before it can choose the direction to begin moving in. So either something is computing it or some exploration is happening at quantum level and we just
20.
by sumitkumar 4mo ago
Yes this is more like compression to remember and not for learning/understanding.
21.
by sumitkumar 4mo ago
The original did not come out of a vacuum. It was done on multiple generations of meat. Even though this one uses a little bit of silicon, it is still standing on the same shoulders.
22.
by sumitkumar 4mo ago
The weights start with a random manifold. The training takes data and shapes the manifold, weight by weight, in many cycles. Once the training is the done manifold is fixed. When a new inference has to be done the query(q) is projected in
23.
by sumitkumar 4mo ago
so can we all agree that LLM models/agents are bad at BFS for exploring a problem space but are good at DFS to implement a solution if the context/requirements are rich enough.
24.
by sumitkumar 4mo ago
The problem is because of the RL and system prompts by the providers which tend to placate the user using certain language tones and register for response. This objectively messes up the generation while steering it into acceptable response
25.
by sumitkumar 5mo ago
But the general use case is not the most efficient for a greenfield to-be fully managed by an agentic system code-base. It is built to be good around the scaffold(programming like humans) and not the actual problem space. Anthropic's t
26.
by sumitkumar 5mo ago
He would be right if claude code was written by a team of humans. The AI written blob is slowing progress.
27.
by sumitkumar 5mo ago
But once a human learns a function their errors are more predictable. And they can predict their own error before an operation and escalate or seek outside review/advice. For e.g. ask any model "which class of problems and domains
28.
by sumitkumar 5mo ago
prompt: create a qr code to https://www.anthropic.com response: https://chatgpt.com/backend-api/estuary/content?id=file_0000... result: FAIL
29.
by sumitkumar 7mo ago
I feel it is about being disinterested than about being good. the ones who were not interested(whether good or bad) and were trapped in a job are liberated and happy to see it be automated. The ones who are frustrated are the ones who were
30.
by sumitkumar 7mo ago
I have seen more reactions of people about this tech than actual implementations made possible which pushed the boundaries further. It is an amplifier of technical debt in mostly naive(people experienced in bad patterns) user base. Take ant

More ›