iamgopal

Is hallucinations and deep thinking tangential optimization steps ?

AutoDesk is next ?

The one thing that we should look at given recent advance in maths using lean is, computer science will ( and should be ) used to create appropriate language for other fields ( biology, process, chemistry, games, movies etc ). ( hammer / nail analogy ). Science <-> Engineering used to be about representing anything in math so as to define and solve it, now onwards it will be about representing it in a language.

Just ~250000 years ( in atmospheric absorption rate )

How far are we from optical computing ?

Kubernetes but for agent ?

why golang lost to rust ?

ok I've searched, it may not, but it can do "driving car" and "trade 0-DTE Option" much better.

If I understand correctly, it can play chess and rubic cube better than LLM ? ( may be go too ? )

why can't recursive self improvement not improve efficiency ? token per watt ?

Once we start dividing, filtering, or moderating content, HN will just become Reddit. The current level of moderation is good enough, if not the best. It works because the community naturally filters itself—like-minded people find a home here, while those outside the bubble quickly get bored and move on.

You missed Prompt engineering in betweeen.

True, but could humans cross pollinating lean x prolog x A* ( or any search algorithm) could have solved such math problems with super computer ?

when you are large enough to allocate sufficient resource, you should go native, if not, go flutter/react native etc. Its very simple decisions I guess.

I had to create special checker/linter to analyze my code base ( and asked AI to loop it through it as some kind of test ), so as to avoid AI (mis)using tailwind class here and there. that was 2025, AI and linter both improved quite a lot since.

Running 10000 agents to solve hundred year old problems definitely shows capabilities of AI beyond doubt, but why leave the war when it is at its fiercest.

future is on the way, three to four generation ( one each year ?) will unfold this, primarily quantum computer improving material and battery, humanoids becomes standardised and modular enough to be easily replaceable ( think ibm pc ) ( most components are simple injection moulded advance plastics , mass produced in some corner of china, self detection of wear and tear and self replace that part ), other is optical computers ( 100x lower power x 100x speed = local inference ), problem is, when this will become reality, who will benefits more ? who will hold moat ?

Will AI remember ? Or rather how will we make AI remember ?

ASTRA means tool ( for war or attack specifically ) in hindi

do you notice it thinks a bit more ? not in time sense, but cautious in its coding steps ? more than Gemini 3.7 flash?

not Gemini.

My Gemini is fully up.

Gemini is up.

Gemini is up.

The days are not far that all keyboard short cut pass through AI prompt gateway

in Gujarati its "Gand vagar no loto". ( Utensil with Round Ass ). I guess every language as its equivalent.

Router with fanless gpu for AI load , nvme slot will be game changing

with excellent test cases, AI can do wonders, human's task in AI world is to just write as many tests cases as we can.

Will doubling of forest helps ? ( not that it is possible )

wandering is human nature, we can not avoid it. with tech, almost 99% reason to travel can be avoided, we human as a nature, we will not skip it.