pretty wild that, per public sources, Reflection AI raised over $4 billion and hit a $25 billion valuation while operating in total stealth, without ever releasing a single public product until now. Beam (501B) seems be their first-ever model drop. Or am I missing something?
That would be a false similarity in some important ways.
This was a very specific single technical problem, requiring a silo from basic science to theoretical physics to advanced engineering, etc., with each layer having its own space of failure modes.
Something like the reverse is true with sufficiently-capable and sufficiently-efficient AI, which we are rapidly evolving to.
In our current situation, the attack surface is quite literally our entire highly interdependent civilization and its components. AI does not need to be autonomous, it just needs to employed, either will wilful bad intent, or, poorly stated goals, or, poor alignment, or, simple mistakes and errors, to break things.
The challenge with security is always that the attacker need only succeed once.
This does not mean doomerism has it right, especially in narratives based on poor understanding or extapolation beyond what is now konwn. The chance of "extinction" in particular is overstated.
The chance of one or more compounding "Chernobyl scale" gray swan events however is ever increasing.
Personally I don't think that's remotely contestable.
As a civilization and society and industry we need to have process, and public process at that, about the nature of the risks faced.
That process has not yet emerged in any coherent way; a hundred letters have been signed and such but to no actual effect, bar one performative "executive order" this week.
Yup. The race-to-AGI-because-China in particular. I’m basically a China Hawk and generally in favor of AI development, but I can recognize the same pattern.
diesel fuel itself needs to be heated at -20 C and below. I used to have a diesel car which would start itself up periodically when its fuel temp was getting close to -20 C, just to warm up the tank & pipes.
Yeah, the 1999 diesel truck I had did the entirely opposite thing: it had a 120v electric block heater, so you'd plug it in when it was cold. (In New England, I used it once to see how it worked, but never actually needed it in practice.) At the time I saw stories (I never confirmed in any depth though) that Minnesota had 120v outlets on parking meters, giving some sort of weather-encouraged compliance :-)
if you get into standstill traffic in the winter, it's actually life-threatening not to have alternative power source that can warm up the passengers (and the battery). One interstate road I'm driving sometimes, has many abandoned Teslas sitting on the side of the road after a sleepless night of staying in traffic during some snow blizzard...
No different than gas vehicles running out of fuel.
Do the math and let's say theres even 50 percent charge of a 60kwh pack...and you just blast a 1000w of heat constantly....thats still 30 hours of heating at 1kw of power lol.
Gas vehicles burn .25 to .5 gallons per hour so uh...that 16 gallon tank completely topped off is 'only' 32hours. Half the tank and down to 16hours.
They are pretty common in passenger cars too, google 'standheizung' or 'stationary heater' and you'll find a ton of them. You might not realize that that is what it is. On cars sold in the Nordics and some German brands it is just a checkbox during the order process.
It's quite normal in colder climates, but mostly in Diesel cars. I had it in my VW Multivan. I've never heard of anyone installing Webasto in their EV.
> macOS has long provided a simple means for apps to handle dictation and transcription in processes that stay securely on the device
Not sure these guys realize that the quality and latency of those Apple services in MacOS is way lower than SOTA and not too many people use them because of that…
now imagine that future frontier LLMs weights may be hard-wired in a chip (for performance & power efficiency), and any adaptations/tuning for them will be a blob of additional weights supplied by frontier labs (that will have to be in RAM)...
you also need to factor in other things, like sentimental value (may be very high), rarity of some things, and catastrophic events "insurance" (e.g. Covid or similar events where obtaining some things is not guaranteed).
sounds like a perfect fit for ASIC-optimized models (where matrix ops could be supported directly in BITCOS format, potentially) & achieving record power efficiency for on-device inference.
And it looks like per [0], a model needs only ~30% more weights to be at comparable quality, if quantization-aware training is done...
so this post was at the top of the 1st page of HN just a few min ago, and now it's down on Page 2 (#36 atm). Is this due to the title change, or something else?
this is unfortunately very common - I kept running very small ads regularly over many years (~10 years by now) and the % of bots has been steadily increasing, and Google doesn't really have any system to report those reliably to them. In fact, it's contrary to their incentives to investigate & fix these problems - unless they feel some pressure from competition...
From time to time, Google ads sales reps call me and are trying to convince me to increase the ads spend. I complain about bots, and none of them had any suggestion on what I can do to appeal it etc. I mean I can appeal on some specific instance, once - but there's no process to communicate back to Google the cases where I'm 99% certain about bots on regular basis.
And these bots get increasingly more sophisticated. They used to just click on ads. Then they started installing the app. Then running the app once and do nothing in it. Then they started tapping on the app screen & actually try to go through some initial app steps. When they do it in a spiky way, it's easy to detect them. But when they do it through some distributed device farms, below noise, it's very hard.
reply