babl-yc

6 ms·

1.
by babl-yc 4mo ago
I'm seeing this too. API price for gemini-3.5-flash is 3x gemini-3-flash-preview so they might be throttling it 3x sooner. They should either drop API prices or not advertise AI Pro as supporting Antigravity. https://ai.goog
2.
by babl-yc 4mo ago
Interesting that the 3.5 Flash launches before 3.5 Pro. Historically it's been the reverse for Gemini since Flash is distilled from Pro? Are they just training it a bit longer until it tops benchmarks?
3.
by babl-yc 9mo ago
This is cool. I'm observing a trend of "build a tiny version from the ground-up to understand it" a la Karpathy's micrograd/minGPT. Seems like one of the best ways to learn.
4.
by babl-yc 9mo ago
I switched to a new x86 machine. Running Linux on Mac just made things unnecessarily complicated and hurt performance. Im still open to using docker on Mac to run Linux containers but once you want a GUI life was simpler when I switched off
5.
by babl-yc 9mo ago
I don't have an x86 laptop at the moment so sticking with Macbook for now. My assumption is Mac laptops still are far superior given M-series chips and OS that are tuned for battery efficiency. Would love to find out this is no longer
6.
by babl-yc 9mo ago
I switched my desktop from macOS (10+ years) to Ubuntu 25 last year and I'm not going back. The latest release includes a Gnome update which fixed some remaining annoyances with high res monitors. I'd say it pretty much "just
7.
by babl-yc 10mo ago
Arxiv should just retire "is all you need" in the title. Block the post and make them come up with something new. Anything. Same for YOLO "versioned" models. People just claim they come up with "YOLO-v15" as if
8.
by babl-yc 10mo ago
I don't know if you can generally say that "LLM training is faster on TPUs vs GPUs". There is variance among LLM architectures, TPU cluster sizes, GPU cluster sizes... They are both designed to do massively parallel operation
9.
by babl-yc 11mo ago
What Raspberry Pi is to Broadcom (developer-friendly SBCs), Beagleboard is to TI. It's a slightly different approach -- Beagleboard is a non-profit and emphasizes openly purchasable components. But similar in that it is the cheapest wa
10.
by babl-yc 11mo ago
I would expect nearly every active AI engineer who trained models in the pre-LLM era to be up to speed on the transformer-based papers and techniques. Most people don't study AI and then decide "I don't like learning" wh
11.
by babl-yc 11mo ago
I don't expect the majority of tech companies to want to run their own physical data centers. I do expect them to shift to more bare-metal offerings. If I'm a mid to large size company built on DynamoDB, I'd be questioning if
12.
by babl-yc 11mo ago
I'm trying to make a DIY security camera that can run local models, and stream video over wifi. The TI SDK makes it easy to run demos but making any custom apps quickly gets complicated unless you are familiar with embedded Linux dev,
13.
by babl-yc 11mo ago
Will be interested to see what their developer kit looks like when (and if) they release it. I've been experimenting with the BeagleY-AI to build a little edge AI gizmo with a camera (Texas Insturments SoC + 4 TOPS NPU in RPi 5 form fa
14.
by babl-yc 11mo ago
There's a swarm on HN that upvotes anything uv related and downvotes anything questioning it's added value as compared to pip
15.
by babl-yc 11mo ago
There's still relevance in making it stupidly easy to make an LED blink and make basic apps on circuit boards. Education + weekend hardware hackers might look for something different in a framework than a professional. But certainly fo
16.
by babl-yc 11mo ago
To anyone at Arduino/Qualcomm reading -- If you're looking to make Uno Q SBC a gateway to more companies building on Qualcomm SoCs, please also release: - Affordable HQ camera modules, with drivers, tuned ISP support for the board
17.
by babl-yc 1y ago
You're right there is no way to specifically target the neural engine. You have to use it via CoreML which abstracts away the execution. If you use Metal / GPU compute shaders it's going to run exclusively on GPU. Some infere
18.
by babl-yc 1y ago
I've always been a bit confused about when to run models on the GPU vs the neural engine. The best I can tell, GPU is simpler to use as a developer especially when shipping a cross platform app. But an optimized neural engine model can
19.
by babl-yc 1y ago
It sounds like you're working 8 hours/day and unwinding the rest of the time? I never had energy for side projects with a full-time job. Just because some do doesn't mean it's for everyone. Maybe there are higher value w
20.
by babl-yc 1y ago
One crazy stat -- In 2024, 21% of all bachelor's degrees awarded were Computer Science from University of Maryland College Park. It was 3% in 2011. I don't agree with the article that AI is wrecking job prospects. I see it is as c
21.
by babl-yc 1y ago
One of the reasons I switched to Android was the freedom to make apks for my phone and not dealing with certificates, expiry dates, Google's approval, etc. This is a depressing change if they follow through with this. And "in the
22.
by babl-yc 1y ago
I was in the market for a Linux desktop machine and considered the Framework Desktop. I respect their mission, but ended up purchasing a Geekom mini PC instead. Given repair isn't practical with soldered DRAM and such, I prioritized sm
23.
by babl-yc 1y ago
I'm going to attempt to get it running on the BeagleY-AI https://www.beagleboard.org/boards/beagley-ai Similar form factor to raspberry pi but with 4 TOPS of performance and enough RAM.
24.
by babl-yc 1y ago
I would say the target audience is anyone deploying ML models cross-platform, specifically ones that would require supporting code beyond the TFLite runtime to make it work. LLMs and computer vision tasks are good examples of this. For exam
25.
by babl-yc 1y ago
This isn't really true. They are different offerings. CoreML is specific to the Apple ecosystem and lets you convert a PyTorch model to a CoreML .mlmodel that will run with acceleration on iOS/Mac. Google Mediapipe is a giant C++
26.
by babl-yc 1y ago
You could probably get away with f16 or even quantize to int8 and have a much smaller model, but your point stands. Users won't be thrilled to download a 500MB model for an app either.
27.
by babl-yc 1y ago
So would you trade your founder equity for a fixed salary? My guess is probably not. Equity is an extremely important factor for many candidates, especially more senior ones and executives. I would not pitch it as future value, and instead
28.
by babl-yc 2y ago
The first rule of working on Gmail is DO NOT change the interface. The second rule is if you insist, please let us turn off your dumb AI feature.
29.
by babl-yc 2y ago
Engineering titles have always had limited external meaning, but it's not an issue that needs to be "solved". At a tech company I worked at, we started with no engineering titles (everyone was a SWE) but management eventually
30.
by babl-yc 2y ago
Glad to hear! I spent a bunch of time on that post so I was hoping someone would read it :) Good luck with your projects

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