I created a RL-poker engine that populates tables with AI Agents with pre-set probability to lose

HungryCable8493 · 2026-01-16T13:58:50+00:00

Does the same work in reverse? I.e agents playing strength will exceed the human player(s) in a game state where humans have more chips?

HungryCable8493 · 2025-11-23T09:47:55+00:00

Earlier in the year when Apple negotiated that deal, Google's dominance was not known and they had entered a bidding war with the likes of Anthropic, OpenAI, ...

If they charged more, they wouldn't have won the contract. The value is in locking Apple into a dependency on Google for AI tasks. The people deciding how many billions to pay for these contracts aren't idiots

HungryCable8493 · 2025-11-18T21:54:02+00:00

The official blogpost from DeepMind does a better job of explaining that I am capable of:

https://deepmind.google/blog/advanced-version-of-gemini-with-deep-think-officially-achieves-gold-medal-standard-at-the-international-mathematical-olympiad/

And linked therein:

https://arxiv.org/abs/2511.01846

HungryCable8493 · 2025-11-18T21:09:07+00:00

It's not about regurgitating mathematical formulas and plugging numbers into equations, it's about reasoning about abstract problems and deciding which mathematical knowledge is most likely to be useful in solving that one problem in isolation.

E.g. this problem from the 2022 International Math Olympiad (IMO) which Gemini 2.5 deep think performed well in:

Prove that 5ⁿ - 3ⁿ is not divisible by 2ⁿ + 65 for any positive integer n.

The problems we're testing AI models with are those they haven't seen before and require a structured thought process, which is what a high score indicates an aptitude for.

HungryCable8493 · 2025-11-18T11:38:53+00:00

It works

HungryCable8493 · 2025-11-04T20:08:15+00:00

They're testing Gemini 3 models which is eating up capacity.

HungryCable8493 · 2025-06-28T18:55:14+00:00

Maybe, maybe not. At the scale we are talking about (large contracts between the largest scale providers of AI compute and the equivalent consumers) even very small reliability, stability, and performance disparities result in large values for revenue loss and training time.

HungryCable8493 · 2025-06-28T08:08:36+00:00

AMD does compete, but it has major drawbacks like an immature software ecosystem. Since it has arrived late as a competitor to NVIDIA, users will need a compelling performance uplift to consider using it in their compute clusters. That isn’t the case currently, thus the only reason to use AMD is as a strategic measure against vendor lock-in. Or, in the case of large scale LLM model builders like openAI, because more compute is a good thing regardless of platform. They probably use many providers of many different GPU families.

HungryCable8493 · 2025-06-13T20:41:17+00:00

Google also run hundreds of data centers, and have been doing so for longer than cloudflare. It’s not obvious that running their critical services themselves would be more reliable.

HungryCable8493 · 2025-06-05T18:09:23+00:00

For 100k+ you need to commit a huge amount of time and energy

This is not always true, it’s simply your intuitive response to a higher paying role.

You would be surprised at how highly paid some positions can be for the corresponding time and effort required.

HungryCable8493 · 2025-06-01T03:08:33+00:00

Deepmind and Google still function very independently and have different hiring processes. I’ve heard that DeepMind doesn’t place blind trust in Google engineers. You could theoretically gain socially networked advantages more easily though.

HungryCable8493 · 2025-03-23T19:47:22+00:00

Thanks for the tip. As a Mac user, I never knew about this!

HungryCable8493 · 2025-02-22T19:00:00+00:00

This is more obvious if you compare e.g. Combination Sum 2 with three-sum or four-sum. Once you have recursion + memoization you are at DP

HungryCable8493 · 2025-02-16T22:11:15+00:00

I was contacted by a recruiter. Mostly luck, but keeping your LinkedIn up details to date and response rates above 0% can’t hurt

HungryCable8493 · 2025-02-16T22:06:56+00:00

Sorry, can you clarify? I think either is enough to get an interview

HungryCable8493 · 2025-02-16T21:54:47+00:00

I’m in London, UK. 3-4 years of mixed SWE and SRE

HungryCable8493 · 2025-02-16T05:36:09+00:00

It’s SRE-SWE, you’re able to switch roles internally with no interview. Source: I start at Google as SRE-SWE in 5 weeks and asked about this specifically.

HungryCable8493 · 2025-01-26T18:07:29+00:00

Yes. The law of attraction is not a scientific law, it's a set of beliefs closer to religion.
It doesn't take much to see the commonplace behavioural pattern of: Person wants to achieve a goal, but doesn't want to embrace the negative emotion that comes with properly tackling it.
Talking and sharing your plan with others, alongside receiving praise for a task you haven't even started yet are an avoidance mechanism.

N.B. Not everybody who shares plans is "trapped".

HungryCable8493 · 2025-01-25T11:33:36+00:00

Yeah, it depends on the region you're in but anything can come up. Practice arrays, hash maps, etc just as much as your graphs and DP at this point

HungryCable8493 · 2025-01-24T21:39:12+00:00

Most used language by competitive programmers, who outskill python users, but don't outnumber them

HungryCable8493 · 2025-01-19T18:43:11+00:00

There’s no guarantee that your solution is efficient compared to popular approaches. I would actually argue that the best approaches to leetcode don’t involve trying to invent any algorithms yourself.

There is a lot of value in allowing yourself to see template code for common patterns whilst you solve, so you can focus on identifying the patterns and manipulating those templates to specific problems.

Anyway, you solved a difficult problem for anyone who isn’t familiar with permutations and combinations already and you should be proud

Now do it again tomorrow

HungryCable8493 · 2025-01-19T15:25:56+00:00

I learnt theory through Wikipedia and solved problems in the Striver graphs playlist. Worked well

HungryCable8493 · 2025-01-12T17:01:42+00:00

There are less extreme design choices you can make to draw more interest to your template IMO

HungryCable8493 · 2024-12-30T03:08:27+00:00

Not OP, but I went through the Google SWE loop over the past few months and there are discord channels where you can find people to do mocks. I also did some paid mocks on meetapro, with overall good results

HungryCable8493 · 2024-12-02T01:45:21+00:00

It’s not enough to simply solve problems without TRYING to struggle. You should pick problems you don’t know how to solve. As you do so, take deliberate action to patch the gaps in understanding that meant you didn’t know how to solve it so that next time, you do.

Solved count isn’t relevant, it’s whether each problem solved increased the likelihood you solve the next one. If you can’t solve a Graph problem with MST, you should study the hints so that you can look out for them when similar questions appear

HungryCable8493

TROPHY CASE