woeirua

5 ms·

31.
by woeirua 4mo ago
It's not an affordability crisis, it's a financial crisis. The models get cheaper super fast. By this time next year Fable 5 will cost less than Sonnet does today. That's not the problem. The problem is that many companies ar
32.
by woeirua 4mo ago
How can you lock in when the harnesses are basically thin clients around the APIs and you can replicate them using agents in a short period of time? I haven't seen a compelling thesis yet for how you achieve vendor lock in for LLMs. Cl
33.
by woeirua 4mo ago
>The frontier labs have already lost the war for coding This is a delusional take. Sorry, but anyone claiming this hasn't used Fable and compared it to the current best open source models. I see a lot of hype posting about GLM5.2. I
34.
by woeirua 4mo ago
lmao, i love how the goal post is now in the "multiple weeks" timeline
35.
by woeirua 4mo ago
With agents it no longer makes sense to tie yourself to Python's archaic development experience. How many type checkers are there? Package managers? Don't even get me started on cross-platform deployment. Strongly typed, compiled
36.
by woeirua 4mo ago
It definitely understands the concepts well enough if you give it the right context. I'm not the only one saying this either. Like I said, it's a skill issue.
37.
by woeirua 4mo ago
Skill issue. I've seen LLMs used in this domain to get mindblowing results. You won't see it published anywhere though.... =).
38.
by woeirua 5mo ago
Ted Chiang's argument basically boils down to: I won't recognize an AI as conscious until its desires/behaviors reflect situations that I'm already personally comfortable with. I personally think most humans are incapabl
39.
by woeirua 5mo ago
Data centers are easy to fight against because there is no constituency really pulling for them. They create only a handful of jobs. Ultimately the entire thing is a waste of time, data centers can be built basically anywhere, and that&#x27
40.
by woeirua 5mo ago
How are you going to do a campfire while gainfully employed? Job hopping becomes way harder in this world.
41.
by woeirua 5mo ago
There's a very real possibility that we end up with a bunch of companies simultaneously realizing that they just don't have any good ideas to leverage AI on and rushing more code out the door doesn't lead to tangible value. M
42.
by woeirua 5mo ago
Google has to do this to protect their ad revenue. But… Anthropic doesn’t have to do ads (OpenAI might have to for their free tier) and if the ads degrade the experience too much then people will just abandon Google/Gemini for search e
43.
by woeirua 5mo ago
METR themselves say that any estimate >16 is highly suspect because there are too few tasks. I expect benchmarks like ProgramBench will replace METR this year.
44.
by woeirua 5mo ago
This doesn’t constitute AI psychosis. His argument is that we need to retain understanding of the systems we use, but there’s no compelling argument as to why that is the case. (I get that people are going to be offended by that statement,
45.
by woeirua 5mo ago
[flagged]
46.
by woeirua 5mo ago
Ok, but you can just look at the METR curve. Mythos saturated the 50% time horizon. The 80% is now at 3 hours. The rate of progress is accelerating not slowing down. There’s no indication yet that this is a sigmoid!
47.
by woeirua 5mo ago
Cohen should be forced out of GME after the disaster of an interview he gave on CNBC last week about this. Absolute clown show.
48.
by woeirua 5mo ago
This is really awesome work. Solving these legacy IT problems in government is under appreciated. Love that you all were able to accomplish this. Super disappointed to see most of the comments just complaining about AI and not engaging with
49.
by woeirua 5mo ago
I believe that AI will continue to progress. I believe that we’re going to see a fast takeoff. That said, some people are now discussing a “societal singularity” wherein society breaks before the actual emergence of AGI. I believe this is t
50.
by woeirua 5mo ago
"ideally, a property owner should be able to walk into city hall and leave with a permit the same day if they’re building the kind of housing that the city explicitly wants to see built." Hear, hear! Finally someone gets it. Same
51.
by woeirua 5mo ago
I had agents code up an app for me in Swift a while back and the entire experience was so much better than your typical Python experience. The agents took full advantage of the compiler and static typing. There were far fewer bugs than expe
52.
by woeirua 5mo ago
You’re behind the state of the art. I’m not exaggerating when I say AI can diagnose and solve those issues for you too.
53.
by woeirua 5mo ago
Was it ever a lifetime career? Haven't most people looked around and asked themselves where are all the 50+ engineers? They basically don't exist in large numbers. Ageism is real in this industry. You either save up enough money t
54.
by woeirua 5mo ago
It's an interesting paper, but I'd like to see a lot more about the types of errors that the LLM makes. Are they happening in the forward pass or the inverse pass? My guess is the inverse pass.
55.
by woeirua 5mo ago
I have but one upvote, but yes. The only way to make these systems work reliably is to break the problems down into smaller chunks. Any internal consistency checks are just going to show you that LLMs are way less consistent than you’d expe
56.
by woeirua 6mo ago
I’m curious where you see models like Codex-Spark in this problem? I know they’re too expensive and availability is too limited right now, but in a few years…
57.
by woeirua 6mo ago
Your point about search being a bottleneck is spot on. IMO, search APIs should return guidance to agents to help them winnow down the results faster. For example, if your query returns 1000 results, then it should tell the agent, "too
58.
by woeirua 6mo ago
At the end of the day the company is going to audit what the agent has done. If the agent issues too many refunds that's a major red flag for the company providing the agent and likely results in the contract being terminated. I don&#x
59.
by woeirua 6mo ago
The hype is extreme right now and everyone is still trying to figure out how to use the tools. People who are further along the bleeding edge are trying to tear down all the process that we used to have to further improve velocity. After pe
60.
by woeirua 6mo ago
1 & 2 are totally dependent on the company being willing to let their agents do things that they haven’t traditionally let humans do. For example, issue refunds, or do things that cost money but generate good will. I am skeptical that c

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