Deegy

5 ms·

1.
by Deegy 6mo ago
So what's the business strategy here? Google is the only USA based frontier lab releasing open models. I know they aren't doing it out of the goodness of their hearts.
2.
by Deegy 6mo ago
Is it though? Do we still have the expectation that LLMs will eventually be able to solve problems they haven't seen before? Or do we just want the most accurate auto complete at the cheapest price at this point?
3.
by Deegy 7mo ago
And now there are 1% of the number of farmers that there used to be
4.
by Deegy 9mo ago
Exactly. It's a lot easier to prompt an LLM when you spent a year understanding the problem.
5.
by Deegy 9mo ago
I appreciate the response but I'm not sure I can agree with 'nothing will happen...' When I have 275lbs on my back I'm very anxious that any lapse in focus could cause major injury to my knees, back, etc.
6.
by Deegy 9mo ago
They're increasing reps and therefore total load. That's still a form of progression ('pushing yourself'). This style will slightly favor hypertrophy gains over strength gains. At 40 I recently made this switch in style
7.
by Deegy 9mo ago
Extensive tailwind training data in the models. Sure there's something more efficient but it's just safer to let the model leverage what it was trained on.
8.
by Deegy 10mo ago
Professional legal services seem to be picking up steam. Which sort of makes sense as a natural follow on to programming, given that 'the law' is basically codified natural language.
9.
by Deegy 10mo ago
It is unclear. Everyday I seem to read contradictory headlines about whether or not inference is profitable. If inference has significant profitability and you're the only game in town, you could do really well. But without regulation,
10.
by Deegy 10mo ago
We currently have human-in-the-loop AGI. While it doesn't seem we can agree on a meaning for AGI, I think a lot of people think of it as an intelligent entity that has 100% agency. Currently we need to direct LLM's from task to ta
11.
by Deegy 10mo ago
They know that LLMs as a product are racing towards commoditization. Bye bye profit margins. The only way to win is regulation allowing a few approved providers.
12.
by Deegy 10mo ago
That would be true in a monopolistic market. But these frontier models are all competing against each other. The incentive to 'just work and get shit done fast' is there as they each try to gain market share.
13.
by Deegy 10mo ago
Not required of course. This move to finally move some of his cash horde into equities could be a result of the US governments recent announcement that they're ending their quantitative tightening policy. This likely signals a move bac
14.
by Deegy 11mo ago
You don't even know what a write-off is do you?
15.
by Deegy 1y ago
I'd call text the most versatile interface, but not sold on it being the ultimate. As the old saying goes 'a picture is worth a thousand words' and well crafted guis can allow a user to grok the functionality of an app very q
16.
by Deegy 1y ago
Happened with the electrical grid too. I think you make a very interesting observation about these bubbles potentially being an inherent part of new technology expansion. It makes sense too from a human behavior perspective. Whenever there
17.
by Deegy 1y ago
Good point. But can the models even behave that way? They depend on probability. If they put a greater weight on novel/unexpected outputs don't they just become undependable hallucination machines? Despite what some people think,
18.
by Deegy 1y ago
I believe I addressed that in my third paragraph? It does suck that there are only a few companies with enough resources to offer these models. But it's hard to escape the power laws. I'm hoping that costs come down to the point w
19.
by Deegy 1y ago
I guess I'll take the other side of what most are arguing in this thread. Isn't it a great thing for to us to collectively allow LLM's to train on past conversations? LLM's probably won't get significantly better wi
20.
by Deegy 1y ago
If your work was truly novel, wouldn't the odds of it showing up in later models be extremely low given that these are probabilistic? In a sense these machines are outputting the aggregate of the collective thoughts of the commons. In
21.
by Deegy 2y ago
This looks coveted af
22.
by Deegy 2y ago
If google had to face the reality that distilling their search engine into multiple case-specific engines would have resulted in vastly superior search results, they surely would done (or considered) it. Fortunately for them a monolith sear
23.
by Deegy 2y ago
I've also noticed that with cGPT. That said I often run into a sort of opposite issue with Claude. It's very good at making me feel like a genius. Sometimes I'll suggest trying a specific strategy or trying to define a concep
24.
by Deegy 2y ago
Bubble's don't always imply fraudulent underlying tech. The dot com bubble was a real thing, and yet the internet has gone on to be one of humanities most valuable innovations.
25.
by Deegy 2y ago
Usually, the words 'astroturfing' and 'propaganda' aren't reserved for describing the marketing strategies of valuable products/ideologies. Maybe reconsider your terminology.
26.
by Deegy 2y ago
I thought so at first too, but then realized this may actually unlock more total demand for them.
27.
by Deegy 2y ago
I think this is the correct take. There might be a small bubble burst initially after a bunch of US stocks retrace due to uncertainty. But in the long run this should speed up the proliferation of productivity gains unlocked by AI.
28.
by Deegy 2y ago
It's mostly a decision to manage the total amount I spend on LLM tools. Given unlimited money I suppose I'd still be subscribed to Perplexity because the UI is slightly better than Claude and chatGPT for web results. But Claude an
29.
by Deegy 2y ago
Once chatGPT and Claude (through MCP) added web search functionality I completely dropped Perplexity. I assume I'm not unique in this regard. Feels like the writing is on the wall for Perplexity.
30.
by Deegy 2y ago
I mean, they might make back the $4b on the value it brings to programming alone.

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