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Tankenstein

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Building https://handhold.io

Previously built and led engineering of the send product at wise.com

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Render.com has a similar value proposition. I’ve used them and am pretty happy. Railway seems to have more bundled observability built in, that i’d like in render.

An Update on Heroku 6 months ago

I moved to render years ago and have been very happy with the decision. It feels like heroku, if it never got acquired by salesforce and kept improving.

This is the first time since GPT 4.1 that I think I can upgrade our main agent model. Any noticeable amount of reasoning has been too slow for us, since the model is having a real-time conversation with the user. "minimal" reasoning GPT-5 performs terribly, it's significantly dumber than GPT 4.1 in a long, multi-turn conversation with tools.

This time, I just dropped it in and at first glance it seems to work well. I'll probably upgrade over the weekend if I see a boost in performance somewhere after tuning the prompts.

Steam Frame 8 months ago

x86 to arm compatibility layer they are using to run windows games on the machine/frame

A few additional points of context to consider:

- The "Turkey taught Putin" narrative is kind of BS. The leader of Turkey imprisoned the pilot who shot down the Russian jet, essentially saying he acted on his own. Afterwards, Turkey bought Russian military equipment. This reaction is the opposite of sovereignty.

- Speculation: Russia is looking to provoke Europe into responding. The thinking is to get Europe to focus on their own air defense, over assisting Ukraine. This is why the general, and correct, response in Europe is to keep calm and keep sending air defense equipment to Ukraine instead of freaking out. There of course are some lines where it is not possible to shrug it off, like recently in Poland, where the situation was so unsafe that we had to react with weapons. The most important element of Europe's security is that the Ukraine war does not end in a victory for Russia.

Edit: Formatting

Foldables need to have very thin construction as when folded, you essentially have two phones on top of each other. There's speculation online that the air was launched off the back of their internal foldable R&D.

iPhone Air 11 months ago

The pixel has had a "visor" style bump for many years, last year's model rounded it off for the current look. This year's model is design-wise very similar to last year's.

It relies on cameras.

Wikipedia: The flush cockpit means that the long and pointed nose-cone will obstruct all forward vision. The X-59 will use an enhanced flight vision system (EVS), consisting of a forward 4K camera with a 33° by 19° angle of view, which will compensate for the lack of forward visibility.

Bring more must-have parts of the stack into the offering:

- Object storage

- Metrics (managed prometheus + grafana? or preferrably your own lightweight version, like your log system, which mostly gets the job done)

Sorry, not a native speaker, I was under the impression that aerospace means air and space. I guess i meant aviation.

I didn’t imply knots are mph, I used the slash to signify “or”. They are completely different units, but both are used. Sometimes the airspeed indicator even has two scales, one for kt and one for mph.

Just a guess, but aerospace generally works with feet for altitude and knots/mph for airspeed, internationally. I’m doing a PPL in Europe and we, like everybody, use feet and knots/mph. I believe this is because the US have been on the forefront of aerospace regulation (a set of rules called the chicago convention is the basis of all air law) and aircraft manufacturing.

Many startups have started over the past few years, trying to build infrastructure (shovels) for companies to integrate LLMs, or specific chat copilots trying to cater to a specific usecase. Most are dead in the water once OpenAI subsumes their feature set.

Mistral 7B 3 years ago

Rooting for these folks. Very happy that they're building mistral at this pace from Europe – breaking the narrative.

I find their approach of end-to-end machine learning absolutely fascinating. Since the video is very long, I'll explain the gist: instead of the traditional approach of labelling everything in the scene using neural nets and then trying to divine a driving plan based on this information, comma is trying to behave more like a human and going straight from perception input to neural net to car controls output (expressed as a path).

This to me is a fascinating approach and raises interesting questions about the observability of the system and how much we can trust systems like this, where validation is based on testing of the behaviour of the whole system rather than validation of its subsystems.

I believe that comment was directed towards posts about price fluctuation of existing public companies, while this post is about the company going public. Previous listing posts have led to substantive discussion in my experience.

Disclaimer: I work on wise.