HackerTrans
トップ新着トレンドコメント過去質問紹介求人

LeicaLatte

no profile record

コメント

LeicaLatte
·先月·議論
If china captures the market now, well deserved. Way cheaper compared to us providers.
LeicaLatte
·6 か月前·議論
My setup is very similar.

After you log in you can unlock keychain by running this command

‘security unlock-keychain’
LeicaLatte
·8 か月前·議論
Completion API is only half the product. Teams integrate these tools into production with nothing but policy documents between them & incidents. The guardrail system does not exist for a reason. No business model. No investors. No revenue stream.

Tesla didn't just build FSD. They had to build a verification layer: driver cameras, steering sensors, attention alerts. That parallel software makes autopilot road ready.
LeicaLatte
·8 か月前·議論
Instead of reinventing terminals, what if we standardized on structured data exchange between CLI tools (like JSON/msgpack) and let terminal emulators render it intelligently? The backwards compatibility problem that nixpulvis mentions is real - any "terminal of the future" needs to run existing tools well first while gradually enabling richer experiences.
LeicaLatte
·8 か月前·議論
A simple "END OF ARTICLE" delimiter in prompts might prevent most of these embarrassing slips.
LeicaLatte
·8 か月前·議論
Great timing - launching right as the transformer bubble might be peaking.
LeicaLatte
·10 か月前·議論
YouTube's messaging is the more frustrating part about all this. Panic might drive more creators toward direct monetization, that might just be the better net outcome.
LeicaLatte
·10 か月前·議論
Mobile apps often sort by creation time in the UI (chat messages, activity feeds). Since clients only see the masked version, there might be a need to expose a separate timestamp field.
LeicaLatte
·10 か月前·議論
I think the 73% non-work usage ratio will flip again within 2-3 years, but not because consumer usage shrinks. As AI becomes embedded in workflows through APIs the "work" category is set to expand dramatically.
LeicaLatte
·10 か月前·議論
Curious about the interaction between this memory behavior and fine-tuning. If the base model has these emergent memory patterns, how do they transfer or adapt when we fine-tune for specific domains?

Has anyone experimented with deliberately structuring prompts to take advantage of these memory patterns?
LeicaLatte
·10 か月前·議論
Liking the package management from first principles as a systems-level optimization problem rather than file scripting. resembling a database engine - dependency aware task scheduling, cache locality, sys call overhead - they are all there.
LeicaLatte
·昨年·議論
i've recently set claude 3.7 as the default option for customers when they start new chats in my app. this was a recent change, and i'm feeling good about it. supporting multiple providers can be a nightmare for customer service, especially when it comes to billing and handling response quality queries. with so many choices from just one provider, it simplifies things significantly. curious about how openai manages customer service internally.
LeicaLatte
·昨年·議論
Every reasoning inquiry should start with this Reasoning 101 question. R1 got it right -

https://chatlabsai.com/open-chat?shareid=MbSUx-vUDo

How many words are there in your response to this prompt?

There are 7 words in this response.

Promising start.

For comparison here is the 4o response - https://chatlabsai.com/open-chat?shareid=PPH0gHdCjo

There are 56 words in my response to this prompt.
LeicaLatte
·2 年前·議論
i recently updated my iOS chatbot and it grew to 100$ mrr. do i have a chance? is it me or the market? :)
LeicaLatte
·2 年前·議論
Real GPT-4 moment. Your 3500 MacBook cannot do this.
LeicaLatte
·4 年前·議論
Thanks Epic, EU!
LeicaLatte
·4 年前·議論
Very cool! Looking forward to POS demos at the March event.