HN user

modeless

44,486 karma

modeless@gmail.com

Previously: Physical Intelligence (robots), Meta, Google, Microsoft

My blog: https://james.darpinian.com/blog/

https://x.com/Darpinian

Creator of See A Satellite Tonight: https://james.darpinian.com/satellites/

Based in Palo Alto

Posts167
Comments6,624
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fil-c.org 22d ago

Memory Safe Context Switching

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212pts30
twitter.com 4mo ago

OpenAI teases GPT-5.4: "sooner than you Think."

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www.anthropic.com 5mo ago

We tasked Opus 4.6 using agent teams to build a C Compiler

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735pts738
twitter.com 5mo ago

Claude Opus 4.6. Our smartest model got an upgrade

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evjang.com 5mo ago

As Rocks May Think

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generalrobots.substack.com 6mo ago

Physical Intelligence Sweeps Humanoid Olympics

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caseyhandmer.wordpress.com 7mo ago

It's time to accelerate the development of antimatter for space propulsion

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www.pi.website 8mo ago

Physical Intelligence: A VLA That Learns From Experience

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www.microcenter.com 1y ago

Silicon Valley finally has a big electronics retailer again: Micro Center opens

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301pts168
www.youtube.com 1y ago

Boston Dynamics doing cartwheels [video]

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www.youtube.com 1y ago

Neo Gamma home humanoid robot from 1X [video]

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twitter.com 1y ago

The humanoid form factor is the only viable shape for serving labor in a home

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twitter.com 1y ago

OpenAI: DeepSeek "found some of the core ideas that we did on our way to o1"

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twitter.com 1y ago

An efficient tokenizer for robot actions: folding laundry, cleaning tables etc

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twitter.com 1y ago

I'm making a memory-safe implementation of C/C++. It's called Fil-C

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aistudio.google.com 1y ago

Gemini 2.0 Live real time voice and video, for free

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bsky.app 1y ago

Distributed LLM Training with OpenAI Cofounder Durk Kingma, Inventor of Adam

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distro.nousresearch.com 1y ago

Pre-training a 15B parameter language model over the internet

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twitter.com 1y ago

Cerebras runs Llama 3.1 70B at 2,100 tokens per second, live demo available

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twitter.com 1y ago

Mochi 1 preview. A new SOTA in open-source video generation. Apache 2.0

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15pts6
www.llama.com 1y ago

Llama 3.2 released: Multimodal, 1B to 90B sizes

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aloha-unleashed.github.io 1y ago

ALOHA Unleashed: A Simple Recipe for Robot Dexterity

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www.youtube.com 1y ago

They Built This Robot for Your Home [video]

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twitter.com 1y ago

Starlink will provide free global cellular emergency services access (e.g. 911)

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38pts69
twitter.com 2y ago

Meta LLM Compiler: neural optimizer and disassembler

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twitter.com 2y ago

OpenAI "will not enforce" non-disparagement and non-solicitation obligations

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twitter.com 2y ago

$16k humanoid robot: Unitree G1

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twitter.com 2y ago

Llama 3 70B tied with GPT-4 for first place on LMSYS chatbot arena leaderboard

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twitter.com 2y ago

Google DeepMind's Aloha Unleashed is pushing the boundaries of robot dexterity

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sites.google.com 2y ago

DeepMind: Learning Agile Soccer Skills for a Bipedal Robot

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Basing your security decisions on "it'll never happen to me" because there are billions of other users who will get burnt first

That's not my argument. My argument is that your evidence that Google is uniquely bad at locking people out of their accounts is not good evidence. A few stories in the news represents a beyond negligible fraction of billions of user accounts.

I find Google Password Manager makes passkeys pretty easy to use. As long as you don't accidentally create a passkey some other way. Hopefully websites will adapt to the reality of how people use passkeys in practice and some of the UX weirdness around them will disappear over time.

One annoying thing though is that while they recently added password sharing, they don't allow sharing passkeys. Basic passkey sharing would be nice, but it also seems possible to implement fancy sharing features that wouldn't be possible with password sharing. Things like sharing one time use passkeys or time limited passkeys or limited access passkeys or secure revocation of shared passkeys. I hope people are thinking about this.

My complaint is that after this settlement nothing has materially changed except that the big labs now benefit from higher barriers to entry in their market. Authors don't make more money (other than a one time protection payment from Anthropic to publishers and some lawyers). Literally no one else benefits, except I guess used book marketplaces and book scanner vendors.

To be clear, this isn't a problem with the court process. Everything here appears perfectly in accordance with the law. It's just an absurd state to be in.

Great, so now instead of allowing anyone to train on already scanned books for free, we can have only the richest big labs buy all the books and scan them privately to train their proprietary models. And since they buy the books used, authors still don't get any money. But at least the books are destroyed afterwards! What an improvement!

Is Fort Ross really "Renowned" as listed? I've never heard of it and honestly it doesn't look very interesting. I'd rather visit Fort Knox which is a real fortification currently in use, world famous, and not listed here.

From the very beginning of self-driving people have been making this claim that supervised systems would cause complacency that would make them perversely less safe. A lot of people believe it, but it's always been just an opinion based on speculation, not data. It's actually an empirical question. The data is in and this claim is definitively disproven. There is no increase in crashes when people use FSD. Not back when it was actually bad, not recently when it was just OK, and still not today when it's actually quite good but not perfect.

Anthropic's "durable advantage" theory of US AI dominance is looking pretty silly. There's zero indication that it will be hard for China to keep pace as models improve and start contributing to their own training. Which pretty much invalidates their policy recommendations.

They can't even blame it on distillation this time, unless they want to claim that their own preferred security measures were ineffective in preventing Chinese access to Mythos.

It doesn't necessarily mean anything to reach 99% on the public set. All of the public set is known in advance, so it's possible to hardcode rules that make this easy for the models. ARC-AGI-3 is supposed to measure generalization to unseen games, so the only score that matters is the score on the held out private test set that nobody outside the ARC prize foundation has access to. Also, I believe the private set is significantly harder than the public set.

Sure, it still needs supervision. Today. But it has definitely passed a threshold where it is now safer to supervise it than to drive without it. And it continues to improve quickly. I expect it to work unsupervised within two years (and unlike Elon I have not been saying this every year for the past decade).

Yeah, I bought it in 2018 with full knowledge that it would be many years before it worked at all. Today I used it for more than an hour around town. It's amazing. I won't buy any car without an equivalent feature in the future. And today there's nothing equivalent in any other car you can buy.

This genre of AI researchers begging third parties to stop them from destroying the world is getting really tiresome. Setting up regulatory bodies with ill-defined goals to counter hypothetical threats from science fiction is a recipe for disaster.

The premise is that government is too slow moving to be able to react once actual problems are discovered, and I reject that. Yes, government usually moves slowly in most circumstances, but given singular existential threats it definitely can move quickly. Instead of acting out randomly and tying ourselves down with speculative regulation that probably won't even address the real problems, we should wait until the problems are obvious and then act decisively with targeted fixes.

Good guess. The actual mechanism is that people who don't get the vaccination are more likely to need to visit the hospital to treat their shingles, and because they visit the hospital more they have more chances to get a diagnosis of dementia in a hospital. See this presentation: https://youtu.be/qlTnnQytOJ0

The lesson is to be extremely suspicious of findings of causation based on observational studies.

The limitations of mobile devices are mostly due to regulation (power limits and spectrum allocation and other requirements) and not inherent to the technology of handheld devices. And despite this, you can increase performance almost arbitrarily if you are able to increase the size and power and number of the antennas on the other side.

Yes, the Gen3 Starlink Direct-to-Cell constellation won't replace cell towers in urban or suburban areas. But I believe it could replace them in rural areas.

The limitations on the current T-Satellite service have a lot to do with the spectrum being shared with terrestrial towers and the low number of satellites.

The new constellation will be physically closer, with much larger antennas and a much larger number of satellites with a much higher capacity per satellite. It will also use dedicated spectrum with no terrestrial interference. Coverage and speed will be improved tremendously.

AI 2040: Plan A 13 days ago

This is dangerously naive and misguided. They claim to want to avoid centralization of control but propose a world police state of AI regulation. Governments exerting this much control will only end in war and tyranny.

The rendering is a bit weird. It's disorienting to have the trains simultaneously underneath the map and occluding it. It also seems like the z-buffer is not being used correctly when rendering the train cars.

GPT‑Live 14 days ago

It was obvious from the live demo that this thing still hasn't learned when to shut up. When it stops tacking on "I'm here when you need me" to every response that could have just been "ok" or simply silence, maybe they'll have something. I think voice remains OpenAI's most disappointing product.