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The question is: Does this type of news force Trump pivot in Iran? Or the larger question, can we pivot?
"The real reasons DoW and the Trump admin do not like us is that we haven’t donated to Trump (while OpenAI/Greg have donated a lot),"
"We haven’t given dictator-style praise to Trump (while Sam has)."
I can completely see those things being true, given Trumps ego. However this is the playpen you choose to play in!
When you are trying to get your company on the crony capitalist gravy train, you need to kiss ass and fluff the egos of those who decide your contracts.
I wouldn't be totally surprised if Amodei gets replaced by shareholders. This entire saga comes across as someone who is smart+stupid in understanding the market they are trying to play in.
First, there's a selection problem: you don't hear/see these complaints from the people who did what you propose.
The internet in general has this problem to a much greater degree than people realize.
Imagine you manufacture toaster ovens. You build 1M units and sell them on amazon. 10 of them catch fire and burn down peoples houses, the other 999,990 units function fine.
The social media, amazon reviews, etc will all skew heavily negative mainly because no one bothers to write a review if they buy a toaster and it toast their bread. However the 10 people who lost their houses will all write scathing reviews.
A interesting project is https://github.com/rasbt/LLMs-from-scratch
It basically walks you thru setting up a toy-LLM from scratch using python. One of the real benefits of this exercise is that you start to understand at a deeper level what the LLM is doing.
Long story short, it is autocorrect++
It certainly is uncanny how much it can simulate human writing (which then hacks our brains into thinking it conscious), but there is no "self" there, there is no "agency", the LLM doesn't have a will or any desires, nor does it actually understand anything. Its a very very very large pattern matcher. When you sit there looking at the blinking cursor, there is nothing going on at the other end of the connection.....just a server with some bits in its memory somehwere.
However, humans will attribute consciousness to it. Its the great danger of the tech....not that its going to become self-aware and kill us, but that we will trick ourselves into thinking its self-aware.
He also notes that to get the best results from AI, you need to be a good developer. It's important to understand what the agent is doing on your behalf, what tools are available, and what's difficult and what's easy for it.
This is very true, but the question is: Its fine for this generation, where are the future good developers coming from though?
There doesn't seem to be much incentive for current 3 year olds to ever learn how to actually program. Its a weird time....have we as humans ever collectively lost the ability to understand tech that we currently depend on? It seems like we are on the cusp on that....
Ecce Agnus Dei Qui Tollit Peccata Mundi
Such a powerful representation of Christ.
Anyone who grew up in the west, we can get a little over-accustomed to lots of the Christ imagery, but its really fascinating.
The presentation of God - the most powerful force in the universe - is shown not as an awesome or terrifyingly powerful image, but as a lamb being led to slaughter.
By using zap rank @freetx had the top post this week by RAW SATS.
Thank you! Glad to start getting some of those sweet MSTY divis....
I don't think you are using it wrong, I think using it as a google replacement is completely valid.
I self-host my own llms (using openwebUI interface) and that is something you can do even if you don't want to run llms locally (you configure openwebUI to use your current provider as its backend via API settings).
I mention this because if you are running your own frontend, it allows you to customize things in a way beyond what you get by just using the stock "ChatGPT" interface.
For example, OpenwebUI has these concepts that I use:
- RAG
- Tools
- Skills
I use each of these for different things. As an example, I'm currently reading a philosophy book that is pretty dense and has lots of fairly complicated terms and concepts....so I loaded the epub into my RAG (Knowledge) section of OpenWebUI and then I can "chat with the book".
For Tools and Skills, this allows further customization. A Skill is just a long natural text instruction teaching the LLM how to perform certain tasks. For example for my job we have an "Incident Report" email that must be sent to customers that outlines (a) What went wrong, (b) Why it went wrong, (c) Date/Time server affected, etc....So I created a Skill in my OpenWebUI that allows me to just say: "Draft a Incident Report for XXXXXX" and then it returns a nicely formatted email that I can cut-paste into an email.
Tools are basically just python functions that OpenWebUI can use to extend its abilities, so for instance if you have a SQL database that has data, you could create a function that logs into database and retrieves rows, etc.
Yes, Kasparov was wrong about being beaten by a computer, but it wasn't "AI".
- Deep Blue was brute-force search. It had no specific understanding or reasoning about chess. It was working thru 100-200 million moves per second (going several layers deep) and then scoring each decision tree by using a hand-tuned algorithm developed by Grand Masters IBM hired. If 2 (or more) decision trees scored the same it would just randomly pick one.
- It couldn't learn or adapt during the match. Kasparov exploited this by adjusting his strategy game-to-game, something Deep Blue couldn't do.
- One of its most "brilliant" moves — which psychologically rattled Kasparov — turned out to be a bug that caused it to pick a random valid move.
In the 44th move of the first game of their second match, unknown to Kasparov, a bug in Deep Blue's code led it to enter an unintentional loop, which it exited by taking a randomly selected valid move. Kasparov did not take this possibility into account, and misattributed the seemingly pointless move to "superior intelligence". Subsequently, Kasparov experienced a decline in performance in the following game....
https://en.wikipedia.org/wiki/Deep_Blue_(chess_computer)
Interestingly, modern LLMs pretty much suck at chess because there are so many permutations of moves that the LLM quickly runs out of patterns in its memory to match against and starts making dumb hallucinated moves.
Funny thing is the lessons from DB-Kasparov has basically made it into every phone, pc, etc. Your phone probably now has enough memory and cpu power to be unbeatable in most cases. Also funny is your phone will probably be able to beat "AI" (ie. LLMs) for a long time due to how differently they approach the game.
One thing that I think is telling of the last 4 or 5 years, has been the causal speaking of good-evil happening in public.
10-15 years ago it was considered deeply embarrassing to talk openly about real forces of good / evil , God, Jesus, etc.
These days, even popular podcasters openly acknowledge it. To me thats one of the "hidden graces" of going thru all this darkness is that people are forced to acknowledge it for what it is.
From what I read about this law yes (but I'm not dutch), so you can buy your fake wash-trade token at $1 and dump price to $0 and then book several quadrillion dollar tax writeoff.
The fundamental issue is at core a WTO issue. When your trade partner is using slave labor, there is no "free trade" and it becomes a race to the bottom.
The actual "free market compliant" real way to rebalance american manufacturing would be to ensure that WTO policies dont allow for slave trade to compete with "free markets" (I have no idea how that would actually be verified or enforced).
Realistically though, WTO is a tool of same big groups who benefit from the imbalanced trade situation, so I don't expect alot of help there.
I don't know much about these models, but I constantly see them....What is the basic difference between the Uncensored and Heretic?
I have also seen that there is evidently different techniques for "uncensoring" a model and some methods more negatively impact the quality of the model more than others....Do you any any insights on that?
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....cue LN payments.....
Personally I think the cat is out of the bag. I think the days of gambling being just confined to a few geographic jurisdictions is basically over....not saying they won't fight it, not saying they may not secure some wins, but long term its a lost cause.
It would actually just be a smarter move for them to buy polymarket and be done with it.
Well its only on the gains. So assume your asset goes up 10% per year, in effect this reduces it to approx 6.4%
But yes, it is insane. Its massively reducing your gains thereby completely distorting the risk/reward profile.
I remained skeptical of the "AI" story but I'm starting to think it may have legs.
Eventually I think almost everything is going to become a "service for LLMs" - things like each web search, product price comparisons, book an airline flight, rent a room....will become APIs across the board.
I'm not saying that you will "rent your hotel room with Bitcoin" - that may still happen via your credit card for time being, however you may load $10 into your AI Agent account each month and .00015 cents is spent on each API call, paid via LN.
It seems like it only takes a minority of participants to opt for "work longer" to upset the apple cart.
Imagine there were 10 people, they each got a new magic labor saving device that could 3x their productivity, 8 of them decided to only work 3 hours per day.
The other 2 decided to work 10 hour days and reap the benefit of effective 30 man hours per day.....what happens?
Seems like everyone would be forced to work 10 hour days?