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AlphaEvolve: Gemini-powered coding agent scaling impact across fields

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Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#91
post #75

Earlier quoted context omitted.

Unfortunately you can't record meetings in many jurisdictions, including court sessions. Hence we have to rely - for worse, or perhaps even for better - on human driven note taking.

You're downplaying the AI lobby here. They're eating down copyright laws, something that seemed impossible just a couple of years ago. Screwing privacy laws is just the next step. Also, we are seeing a cultural shift around that as well. Now people bring "AI notetakers" to Zoom calls without even asking for your permission. People are already acting like privacy laws don't exist anymore, it's going to be even easier…

Such invasive practices are pretty disgusting. But I don't think it will be pervasive. Once it spreads, AI vendors and abusive companies will be hold accountable. There is also an obvious conflict, the surveillance will likely be very selective. Programmers have to record everything, while middle managers have a choice to sign off everything. Senior management will of course do whatever but have full insight on the data. This will create even more backlash. Of course the social culture will turn stone cold and hostile over night with such installments.

Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#92
post #25

This reminds me of Antirez's "Don't fall into the anti-AI hype" [0] In a sentence: These foundation models are really good at optimizing these extremely high level, extremely well defined problem spaces (ie multiply matrices faster). In Antirez's case, it's "make Redis faster". There have been two reactions: "Oh it would never work for me" and "I have seen months of my life accomplished in an hour", and I think they'…

>I think the rest of us should rest easy knowing that LLM's can't (and maybe were never meant to) tackle the tacit-knowledge-filled, human-system-centric, ambiguously-defined-problem-space jobs most mortals work I don't believe that anymore, to be honest. Models are starting to get good at ambiguity. Claude Code now asks me when something is ambiguous. Soon, all meetings will be recorded, transcribed and stored in a…

> Models are starting to get good at ambiguity

That's fair, and something I've observed too. I wish I had written "the rest of us shouldn't freak out and quit software today".

But here's another data point: At the biotech I work for, writing good code has never been the bottleneck. I actually told my boss that a paid Claude vs free subscription wouldn't be that much value because even if it took every piece of code or algorithm we've ever written and 10x-ed the hell out of them, we'd still be bottlenecked by the biology and physics which dictates that we wait 24 days for our histology assay pipeline.

I have a hunch most fields outside of software are this way. And I'm personally not planning to quit anytime soon.

Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#95
post #79
post #69

Earlier quoted context omitted.

You will need 100s of billions to make a viable POC.

For a PoC? That sounds very unlikely. I think you’re off by at least 2–3 orders of magnitude

Let's wait 10 years and see.

Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#96
post #60

Earlier quoted context omitted.

Advanced Machine Intelligence (AMI), a new Paris-based startup cofounded by Meta’s former chief AI scientist Yann LeCun, announced Monday it has raised more than $1 billion to develop AI world models. LeCun argues that most human reasoning is grounded in the physical world, not language, and that AI world models are necessary to develop true human-level intelligence. “The idea that you’re going to extend the capabili…

Why on earth would you start your ai startup in Paris? Of all places in western Europe it's one of the hardest to find, attract and keep talented people. The wages are super low, housing is high and language is an issue.

Probably because LeCun is from there. But top AI talent needs to be paid top cash and the taxes there are brutal for high earners especially.

Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#97
post #28

How many times we have to hear again about Erdös problems? :) It sounds like a great achievement for humanity at first, but after a while they keep coming back!

There are only some 700 open Erdos problems left, so when they're all solved you can finally rest.

Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#98
post #25

This reminds me of Antirez's "Don't fall into the anti-AI hype" [0] In a sentence: These foundation models are really good at optimizing these extremely high level, extremely well defined problem spaces (ie multiply matrices faster). In Antirez's case, it's "make Redis faster". There have been two reactions: "Oh it would never work for me" and "I have seen months of my life accomplished in an hour", and I think they'…

> I think the rest of us should rest easy knowing that LLM's can't [...] What if (when?) (AI-assisted) research moves AI beyond LLMs? Do you think that can't happen?

I mean, Google already has Mu Zero, which Im willing to bet has evolved quite a bit in private because if anything is going to get us closer to actual AI its that.

Realistically, one can build a AI capable of reasoning (i.e recurrent loops with branches) using very basic models that fit on a 3090, with multi agent configuration along the lines https://github.com/gastownhall/gastown. Nobody has done it yet because we don't know what the number of agents is required and what the prompts for those look like.

The fundamental philosophical problem is if that configuration is possible to arrive at using training, or do ai agents have to go through equivalent "evolution epocs" to be able to do all that in a simulated environment. Because in the case of those prompts and models, they have to be information agnostic.

Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#99
post #69
post #57

Earlier quoted context omitted.

Why not both? You don’t need 1trillion allocated before you have a proof of concept to demonstrate your non-LLM model, and once you have a PoC you will definitely have the larger investors interested

You will need 100s of billions to make a viable POC.

You only need to train a range of small models in order to establish a plausible scaling law, IMO.

Re: AlphaEvolve: Gemini-powered coding agent scaling impact across fields

#100
post #9

Are Googlers themselves happy using Gemini coding agent instead of Claude Code or Codex? (no snark, I'm really asking)

Last month, Steve Yegge suggested that they are not: https://xcancel.com/Steve_Yegge/status/2043747998740689171

He was entirely correct.

He made a follow up after the pushback by GDM.

Google’s businesses are very broad and durable. But Google being the only company in the world without access (except for GDM+labs) to a competent coding agent will take a toll.

We’ll see how long Google can hold out hoping for GDM to create something that is competitive.

I’m guess that within 6 months Google will give up on coding and finally let their devs use Claude/Codex.

This isn’t a security problem, this is a GDM issue with GDM’s promises being far beyond their ability.

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