No. Even the early chess engines used things like alpha-beta pruning and position evaluation functions. Chess was too complex to just calculate all possible moves. IBM *did* use a lot of brute force on top of that, but it requires the "intelligent" underpinnings.
In the US, the push for non hybrid is all coming from the NSA.
The NIST people know this but can't say it publicly.
There was a pretty much unanimous consensus for hybrid schemes at the most recent ICMC.
I've been saying this since it became a thing which was pretty much at the last ICMC where NIST announced the deprecation of hybrid schemes.
What are the odds that they have a classical break of ML-KEM, or ML-DSA? SIKE was a finalist a fell to a classical attack.
The is the Dual-EC-DRBG all over again. It's good that DJB is raising it. People listen to him.
In a way, yes. The universe runs on narrativium. That's sort of the claim whenever someone makes claims about an area that they don't understand. And nobody understands modern AIs, not even those who build them.
OTOH, there are tightly reasoned narratives and wish-fulfillment narratives. They aren't the same. This *sounds* like a wish-fulfillment narrative, but he may be actually up to something more dubious. E.g. grounds for firing anyone he wants to.
Well, ads were why I stopped watching TV. Static side panel ads aren't too bad, but anything more than that an
I don't use wireless buttons. I just use my phone. But I've been putting things in the house under control of HA bit by bit. The mini splits, the lights, the TV, lamps, door locks, EV charging and more are all controlled by HA. With a port forward and dynamic DNS, I can control this stuff wherever I am.
It's a 100 year old house. So updating the wires has to precede any z-wave plugs or lightswitches in any given room. I'm about 70% done so far.
Yes, but it's a lot more expensive to float stuff on water and extract electricity from it. It *MIGHT* be worthwhile, but it would be more difficult.
There will be some. Every side has it's nuts. But deserts created by human actions can justifiably be remedied by human actions.
OTOH, ecology is complex. It's quite possible that this, which seems beneficial, may not be. That's not the way I'd bet, but I'd be a fool to deny the possibility. (But irreversible, in this context, is silly)
IIUC, that area was explored (by the US) during one of the periodic droughts, It ended. A while later another occurred, leading to "the dust bowl". Etc. And currently I believe they're pumping water from deep under ground, faster than it's being replenished.
It's quite possible that the best use of that land is buffalo grass and buffalo, as the grass has roots that go deep, but don't extract more water than is available on the average. (I suppose cattle are an alternative to buffalo, but buffalo can pretty much take care of themselves. Of course, they don't notice fences.)
FWIW, watermelons evolved in a desert. They were domesticated BECAUSE they were a source of water during the dry season.
Now, granted, what we call watermelons have changed a lot from their ancestors.
That is where Home Assistant shines. You can create all manner of automations and it will work with most devices. So if there's a z-wave or zigbee lightswitch, you can use home assistant to get your input of choice to control it.
I don't know the specifics of your situation, but I'm pretty sure that if you have something that works for you, you don't want Logitech to brick it one day.
I think it's one of Celine's laws. No manager should manage more than 5 people. This may well imply that they should have skills other than managing.
The next generation of AI coding agents will enable experienced SWEs to 4X their productivity, but this isn’t mode for kiddy vibe coders. You must be the expert, or you’ll destroy your code base in minutes, forcing a git reset.
The old way to code with the AI was to craft a prompt, launch, and start over if anything goes wrong. The new way is to craft a prompt, launch, and provide hints as the AI works, such as “Please use the existing fake, not a mock”, or “ThinkingBlocks should implement the ContentBlock interface”. When you see it making poor decisions, you correct them in real time.
The biggest change in tooling is that user prompts sent while the AI is working should be hints included in the next tool result message, not a replacement that stops the current chain of work. The most important feature for this is actionable visible thinking, which tells you what the AI is doing and why.
The leading AI models differ on thinking feedback:
The future of AI coding for experts will support real-time guidance.
You can be sure it's true because MS said it was.
Actually, LLMs are a necessary component of an reasonable AI program. But they sure aren't the central item. Real AI needs to learn from feedback with it's environment, and to have absolute guides (the equivalent of pain / pleasure sensors).
One could reasonably argue that LLMs are as intelligent as it's possible to get by training on the internet without any links to reality. I've been quite surprised at how good that is, but it sure isn't in good contact with reality.
"Love is a snowmobile racing across the tundra and then suddenly it flips over, pinning you underneath. At night, the ice weasels come." --Matt Groening
