bm-rf

Thanks, I don't see pricing for foundation models however, such as GPT-5.4

Not seeing any pricing info on the models[1] page. Wonder how much of a lift this is over paying providers directly. Perhaps Cloudflare is doing this at cost? Also interesting that zero data retention is not on by default, and is not supported with all providers[2]. Finally, would be great if this could return OpenAI AND Anthropic style completions.

[1] https://developers.cloudflare.com/ai/models/

[2] https://developers.cloudflare.com/ai-gateway/features/unifie...

For the purposes of an llm "reading" a pdf, it just renders it as an image. The file format does not matter. Let's say you have documents that already exist, a robust ocr solution that can handle tables and diagrams could be very valuable.

Even with regular 5G (sub 6 ghz) you'd take advantage of improvements over LTE like massive MIMO and more precise beamforming. All leading to more people using a network at the same time. Also anecdotally I've found that at music festivals, when cellular data doesn't work, texting or calling usually works fine (At least on AT&T)

Maybe you could use something like GPT 4 vision To include a text description of the image in the transcript

Usually you include the database schema in the context, usually by showing the CREATE statement for the tables you want to query. I've also found that including comments in the CREATE sql can guide the model somewhat. The best approach is probably to finetune one of these models using curated questions for your database.

Passthrough also is pretty poor quality, enough to navigate a room but too blurry to read text and the cameras don't handle phone screens that well. Definitely usable but you'll notice you're still wearing a headset.

It comes with Mistral 7B, Llama 7B and RedPajama are available for download.

Seems like plugin support is not fully implemented, I added the 1Password extension, but can’t get the button to work in login forms.

Cars nowadays have radars and cameras that (for the most part) prevent you from running over pedestrians. Is that also a tool refusing to work? I'd argue a line needs to be drawn somewhere, LLMs do a great job of providing recipes for dinner but maybe shouldn't teach me how to build a bomb.

Best yet is VSCode into a docker container on a remote host. Feels like magic!

Got this for the fitness gram pacer test. Seems like the “compression method” changes greatly between responses.

FGPT=FitnessGram™ Pacer Test; MST=multistage aerobic capacity test; PGMD=progressively gets more difficult; 20mPT=20 meter pacer test; 30s=30 seconds; LU=start; RS=running speed; SS=slowly; GF=faster; M=minute; S=signal; [!]=beep; L=lap; SL=single lap; CS=completed; H=hear; [?]=ding; R=run; SL=straight line; LP=long as possible; FT=fail; T=test; O=over; W=start; Y=your mark; G=get ready;

FGPT(MST(PGMD))=20mPT(30s(LU(RS(SS(GF(M(S([!]))(L(SL(CS(H[?]))))R(SL(LP(FT(T(O(W(Y(G))))))))))))

Except for Cloudflare workers which is run on, predictably, Cloudflare

Github Copilot uses a different model than chatgpt, with a tokenizer more fit for code rather than plain english language.

Type hints in python also work great with vscode (and probably other IDEs) as it can offer better autocomplete suggestions for things like function parameters.

Could this be used on something like a pinephone to get iPhone OS running on modern hardware?

A user probably sent the report further down the road. Hazard reporting should pin the location right when you pull up the list of options, I think Waze does this when you click the report button.

https://support.apple.com/en-us/HT212226

I think the problem is the majority of people don't know that airdrop isn't actually anonymous, sure there are workarounds but it doesn't matter if 99% of users don't follow them.

I'm assuming you're spinning up an EC2 instance for each lab. What do you think about using pre-built docker images for each challenge instead? that way they can spin up in just a couple of seconds. Might also be cheaper?

I was curious as to how effective scrubbing was, turns out Packed Tower Wet Scrubbers can filter out 99%+ of VOCs from incinerated plastic. You still get carbon emissions however.

I wonder what the intended audience of this page is supposed to be

Would they publish it anonymously? I'd bet they'd want to take credit somehow.

CogVideo was released only 4 months ago, you can see some samples on this page https://models.aminer.cn/cogvideo/. Statistical models can be used more efficiently (see KerasCV, https://news.ycombinator.com/item?id=33005585), and computing power can increase.

I don't think AI will be able to create a movie anytime soon, but I think it will become "good enough" to serve as inspiration for creatives, or to replace simple stock footage (Much like SD and DALLE-2 is now).

Works on windows for me. Also never really thought about this for rescuing a stuck window, I've always used winkey + arrow keys and kept mashing buttons until it appears on one of my monitors :P

I believe the model is copied into ram once upon calling StableDiffusionPipeline, unless the mac implementation partially loads the model due to only having 8G of ram.

just water cool it! https://www.youtube.com/watch?v=9DyUitTVWlw

looks like there is a nightly release for apple silicon, https://towardsdatascience.com/gpu-acceleration-comes-to-pyt...

I think the tricky part for them is that the hardware and the software need to be marketed differently in order for this to be legal. Out of the box, the comma 3 only functions as a dash cam. You need to personally load openpilot onto it. I guess it's not possible (or wise) to sell a self driving kit currently, but selling a dash cam that just so happens to work really well with openpilot is.

I’ve heard that tmpfs is a good solution. A script on boot loads the secrets from something like vault. Env can be exposed through docker inspect if you’re on a shared host. Not sure what other negatives to env there are though.

side note, I love the strong pigeon website! What a team!