enjoylife

12 ms·

1.
by enjoylife 6mo ago
Another restatement of Brandolini’s Law. The cost of parroting this kind of information is very low, while the cost of refuting it is very high. And the value an outlet can extract from its readership to fund that refutation is nowhere clos
2.
by enjoylife 11mo ago
One thought is once it can touch the underlying system, it can provision resources, spawn processes, and persist itself, crossing the line from tool to autonomous entity. I admit you could do that in a browser shell nowadays, just maybe wit
3.
by enjoylife 11mo ago
> It is not yet optimized for desktop OS-level control Alas, AGI is not yet here. But I feel like if this OS-level of control was good enough, and the cost of the LLM in the loop wasn't bad, maybe that would be enough to kick start
4.
by enjoylife 1y ago
Officers are a limited resource, so their deployment matters. Are they assigned to areas that most benefit citizens, or those that most benefit the city? Is the focus on maximizing ticket revenue, or addressing the most dangerous violations
5.
by enjoylife 1y ago
Officer 0336 is raking it in for the city. I wonder if there is a correlation with the areas which generate a lot of tickets and other city datasets. Perhaps crime rate or average household income?
6.
by enjoylife 1y ago
Interesting but cherry picked excerpts. Show me more, e.g. a distribution over various temp or top_p.
7.
by enjoylife 1y ago
I think we’ve always shaped ourselves based what we’re capable of building. Think of how infrastructure such as buildings and roadways shape our lives within them. What I do agree with you, is how LLMs are shaping our mental thought how we
8.
by enjoylife 1y ago
I agree that these visuals rarely drive decisions on their own. They’re more like supporting tools… useful for framing an argument or guiding a narrative in a presentation, especially when static. Unless it’s interactive or tied to live dat
9.
by enjoylife 1y ago
> Once concepts are selected, Sphere walks the knowledge graph and generates SQL queries to retrieve data from the warehouse, no manual joins or technical mediation required. If I had to guess this is how eng pitched it to the business t
10.
by enjoylife 1y ago
Maybe some reverse attribution to determine how much credit to give different sources in the old top k results. Maybe a llm that is trained on fact finding, and giving proper % of credit. But this would probably require a collective contra
11.
by enjoylife 1y ago
> these tools are not only useful for writing the final code This sparked a thought in how a large part of the job is often the work needed to demonstrate impact. I think this aspect is often overlooked by some of the good engineers not
12.
by enjoylife 1y ago
“‘It’s still learning’ is a misnomer. The model isn’t learning—we are. LLMs are static after training; all improvement comes from human iteration in the outer loop: fine-tuning, prompt engineering, tool integration, retrieval. Until the out
13.
by enjoylife 1y ago
Was going to point this out too. One suggestion would be to try this on libraries having recent major semvar bumps. See if the compressed docs do better on the backwards incompatible changes.
14.
by enjoylife 2y ago
Only at the very end does the article call out there is actually a performance aspect if you use panic and recover as intended. > So it seems that panic and recover can be beneficial to performance in at least some situations. Namely top
15.
by enjoylife 2y ago
We’re seeing a clear divide where both competitive gamers and hackers are retreating into their own ecosystems, away from public matchmaking. Public matchmaking has simply become too optimized/lucrative to sustain trust or meaningful c
16.
by enjoylife 2y ago
I vividly remember the difference intense hockey conditioning camps, sleep and recovery can cause. During these camp I pushed my heart, with many drills being 30+ seconds at max heart rate. Afterwards I was exhausted, chest felt terrible.
17.
by enjoylife 2y ago
I’ll add that even if the papers we all wanted were more freely accesible, the replication and completeness of their described methods would be another source of slowdown.
18.
by enjoylife 2y ago
> Interestingly enough, it’s actually more efficient to send text as images: A 512x512 image with a small but readable font can easily fit 400-500 tokens worth of text, yet you’re only charged for 170 input tokens plus the 85 for the ‘ma
19.
by enjoylife 3y ago
For most non-perishables it’s the most time efficient in minimizing the number of trips. Also given how often I go, ~once a month, each time I get the same sort of novelty as a Trader Joe's for they will have swapped out many items.
20.
by enjoylife 3y ago
If the “Lindy effect” holds true for the 911, it might be quite a long time before the 911 and its variants go out of style. The same cannot be said for the cyber truck, and all of the other short lived prototype cars that have very harsh
21.
by enjoylife 3y ago
Yeah, this author sounds more of an up-and-coming software developer. The cited example is something that someone should be easily able to do in their day to day language. The ability for chatGPT to essentially translate/expand your kn
22.
by enjoylife 3y ago
For the example the op gave, probably not for an adult. But younger kids might. Also for complex domains, I find that dreams enumerate more possibilities/scenarios than I would have if awake.
23.
by enjoylife 3y ago
> 61C taught me how computers actually work and simultaneously made me quit the major I'm genuinely curious, why did the course make you quit? Was it the material or the professor, or something else entirely?
24.
by enjoylife 3y ago
I hope there will be a HBR or some other case study done on Yellow, because the interplay between bad loans + union demands + poor management seems like something US businesses need to be more prepared for.
25.
by enjoylife 3y ago
There’s really only gonna be two camps of developers, working on native apps. Folks at some existing large company, with some sort of Apple partnership to cover cost, or folks working on their side projects to scratch some personal itch. T
26.
by enjoylife 3y ago
Looks like on average the data shows 42% agricultural. https://water.ca.gov/Programs/California-Water-Plan/Water-Po...
27.
by enjoylife 3y ago
One could argue we do already via code generation when we define protobuf definitions or other idl’s. But yeah a chat oriented idl which then code generates c, Go, python, just based on the required problem domain is an interesting vision.
28.
by enjoylife 3y ago
How is the range when pulling your trailer? From what I read the reduction is steep?
29.
by enjoylife 3y ago
Yep. This is a quintessential example of “I’m going to learn by recreating the essence of a complex thing”… taken to the end. And then a logo is slapped on top. I’m all for js libs but this is not performant. Just use redis.
30.
by enjoylife 4y ago
It’s essentially a question of did you take a look the code? There is comments in the codebase directly where the config values in question are being used. Eg. > # repetition penalty from CTRL paper ( https://arxiv.org&#x2F

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