podnami

There’s no way to not look AI generated these days. Give it a break.

This was pure fun for 62s until I found out how lousy I am

I run a benchmark and independently check all new models. They are very spiky.

If you are doing coding only then official benchmarks are mostly right, but as many people are starting to do for instance marketing work with LLMs now there’s very little correlation between coding and creativity for instance.

The cheaper models such as DeepSeek Flash look surprisingly good but I guess that’s because all models are using Remotion and not actual video editing software

A collection of 30k-250k apps? Like individual unique apps?

What is the point of actively choosing a web framework in the age of LLMs?

I’ve spent time doing software at VW and a few of its subsidiaries, and this matches my experience.

Compliance is everything, and SAFe (Scaled Agile) is deployed as a blunt instrument.

Management treats software exactly like hardware production lines—everything is just an "engineering process" that can be optimized on a spreadsheet.

The underlying assumption is that individual engineering talent is just an interchangeable commodity. Once you view developers as replaceable cogs, outsourcing the entire infrastructure to the lowest bidder in India becomes the logical conclusion.

It’s a textbook case of process-over-people driving institutional tech debt.

Coding on the go is definitely a use case. Especially if you want something answered or make a big decision on an architectural change but need both docs and get informed about trade offs. The biggest productivity boost we made was auto deployment of new PRs so that the agent can make live changes and we can review stuff on the to. Suddenly you can do QA in a park in the sunshine without being in front of a desktop

This is snark. Since when has a junior level dev managed to debug and deploy say a cloudformation stack and follow up with notes under 3 minutes?

They lost me at Opus 4.7

Anecdotally OpenAI is trying to get into our enterprise tooth and nail, and have offered unlimited tokens until summer.

Gave GPT5.4 a try because of this and honestly I don’t know if we are getting some extra treatment, but running it at extra high effort the last 30 days I’ve barely see it make any mistakes.

At some points even the reasoning traces brought a smile to my face as it preemptively followed things that I had forgotten to instruct it about but were critical to get a specific part of our data integrity 100% correct.

Do you have to know Assembler to be able to write code in Java? With the point being that you rarely know the underlying mechanics - and the same if true for vibe coding.

What happens before the probability distribution? I’m assuming say alignment or other factors would influence it?

I would assume this is from case to case, such as:

- How aligned has it been to “know” that something is true (eg ethical constraints)

- Statistical significance and just being able to corroborate one alternative in Its training data more strongly than another

- If it’s a web search related query, is the statement from original sources vs synthesised from say third party sources

But I’m just a layman and could be totally off here.

Is your prediction that most people actually like to use software?

If you’re working in engineering, find an exit. AI is coming for you.

You can just ask AI

Hey man, take a step away from the keyboard. Instead imagine the every day person. Would they rather click, scroll, swipe and pull out credit cards across multiple websites - or just ask their digital assistant to do it?

The defaulting to negativity will really eat some communities up from the inside.

Wow this was actually blazing fast. I prompted "how can the 45th and 47th presidents of america share the same parents?"

On ChatGPT.com o3 thought for for 13 seconds, on OpenRouter GPT OSS 120B thought for 0.7 seconds - and they both had the correct answer.

You can do this using OpenRouter; they accept USDC I think

Make a cool product video. It’s easier for people to grok the basic value prop for a product (and it forces you to think about it) vs needing to read product specs. It’s definitely worthwhile using a professional to get it created as it can be used for fundraising/sales etc

Often the wants dissipate over time. One craves sleeping in, having a coffee and not arguing with your spouse. Sure if you push people they might confess about abandoned dreams, but my experience is that most people over 45 are quite content. Maybe it’s a Swedish thing.

How is this not better for engineers than having to maintain a LinkedIn page or a PDF-based resume?

Checkra, an inline assistant for UX, copy and conversion feedback right on your site. It’s easy to set up with a tiny JS snippet and free to use - no account needed. We’re using it for our in-house product development and it has streamlined our workflow for generating A/B versions of pages and copy significantly

Do we have insights on whether they knew that their business model was at risk? My understanding is that OpenAI’s credibility lies in seeing the potential of scaling up a transformer-based model and that Google was caught off guard.

Isn’t it a democratisation of communication? I mean before social media the friction between you and your soapbox was much bigger.

Wondering how they’re educating the market about federated learning at scale. It’s still a nascent technology and fairly hard to wrap one’s head around.

Google and Facebook didn’t have a moat (Remember MySpace? They had network effects too), but they were first in creating a culture where they approached data capture and utilisation as part of their DNA. AI startups might be very well suited to capture initial market share but can always be turned to features by Microsoft or Google as the incumbents are just smarter and faster this time around. I can potentially see AI startups disrupting product categories as they be can take more PR risk (uncensored models for instance). But if they get too big they’ll be turned into features at any given time. I think it’s just more brutal of a market in 2023 than it was back in 2003.

There are examples in cryptocurrency, where ZK proofs are all the rage. One use case is validating ownership of some amount of currency without knowing the actual amount, or verifying that a smart contract was executed correctly without revealing the specifics of the contracts internal state. Some blockchains use this in production, such as Polygons ZkEvm.