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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

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.

Microgpt 5 months ago

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

Microgpt 5 months ago

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.

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.

Open models by OpenAI 12 months ago

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.

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.

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.

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.

I feel like this is one pivot away from a highly addictive game. The concept of using prompts and AI to mediate gameplay is novel - but in this current form not fluid enough to make it fun. If you could somehow reduce the time from the prompting to the outcome, and introduce some platform elements, that would probably increase playability by 10x.

Still great idea and uncertain if music (and works well on my iPhone)

Doesn’t make any sense. He is ideologically driven - why would he risk a once in a lifetime opportunity for a mere sale?

Desperate times calls for desperate measures. This is a swift way for OpenAI to shield the business from something which is a PR disaster, probably something which would make Sam persona non grata in any business context.

[dead] 3 years ago

Hi everyone,

I've been tinkering with a podcast show hosted by ChatGPT4. The voice is generated by ElevenLabs and all the artwork is from Midjourney 5. The only thing I do is provide prompts and publish the content. I'm hoping to fully automate the show so that a new episode is published daily with no human intervention - apart from giving it subject matters to talk about. I hope you listen in!

Gotcha! Not having creation date displayed was part space limitations, part the idea that we want to drive somewhat older episodes with high longevity.

We will add a “classic” tag shortly for episodes older than x weeks to indicate that it’s not new content.

Thanks for the feedback!