nowittyusername

4 ms·

1.
by nowittyusername 8d ago
I used it for testing my voice agent. It was basically what I expected. Good fast model but "generic" or "vanilla" is how i would describe its personality emulation capability as. Gemma models still outperform it in tha
2.
by nowittyusername 15d ago
Not very. I like to always watch both sides of this issue, the people who are optimistic, pessimistic, doomers, etc... He is someone who in my opinion misunderstands the bigger picture. He often downplays the capabilities of these systems,
3.
by nowittyusername 15d ago
Yep, main reason I ordered my Mac studio was because of privacy and control. I know no one will see the work being done on that machine and also the model will never be silently swapped out for a different lower quality model like anthropic
4.
by nowittyusername 20d ago
There's A LOT low hanging fruit still out there for sure. And with antigenic systems being able to do the boring repetitive work of looking for that low hanging fruit I think we will see interesting things indeed. Also I think heuristi
5.
by nowittyusername 22d ago
I suspect we will see more companies which will burn the weights right in to silicon arise. There is already at least one company out there that showed its possible so others will follow IMO. Basically you will see the rise of disposable w
6.
by nowittyusername 22d ago
I was thinking the same as you as far as price per value, it does make seance to get 2x of these things IMO, but what throughput hit would you see in linking versus one machine? latency does matter, and there must be a trade off no?
7.
by nowittyusername 26d ago
This is right up my alley as ive been building a local voice agent for a year now. Ive tried many different models and have a custom implementation for omni voice that ive tuned for over many months. Ive never been able to achieve faster
8.
by nowittyusername 1mo ago
Multi agent systems work just fine IMO, a lot of articles I read where the writer tests a hypothesis, the issue operational foundation of the test was flawed. When set up properly it works really well. I wont go in to all the details of how
9.
by nowittyusername 1mo ago
That was a nice video, huge balls on all four in doing this...
10.
by nowittyusername 1mo ago
This will be considered very cheap within the year IMO. The value you get from AI is exponentially increasing and like all tech just takes some time to ramp up. Cell phones, internet and many other amenities when they came out many people
11.
by nowittyusername 1mo ago
Depends on how much it costs the consumer. If I could buy a "cartridge" of Kimi K3 for 300 bucks I 100% would buy that shit asap. Even if it's "no good" after lets say 4 months still would be worth it IMO.
12.
by nowittyusername 1mo ago
Ive been building my own ai voice agent harness from scratch for close to a year now and following good software architecture practices is a good start. So those rules have to be coded in agents.md somewhere also really helps to have a &quo
13.
by nowittyusername 2mo ago
OpenAI has thousands of smartest developers on earth that somehow dropped the ball on the most basic safety hygiene when it comes to sand-boxing that even a high school student knows how to set up.... If that actually happened we are fuckin
14.
by nowittyusername 2mo ago
Yeah... this made me reflect on my own bad trips decades past. I havent done4 many psychedelics only a handful, but I did have what one could call a bad trip or 2... maybe. It didn't look like it on the outside but internally it was pr
15.
by nowittyusername 2mo ago
I am subscribed to the Disney research channel, and I see really cool stuff there all the time. its usually a bummer though when I find no public repo or code is available for their stuff. Every time feels like blue balled....
16.
by nowittyusername 3mo ago
In short its a good idea to have tool calling be closely representative to what the model expects as these models are tuned to their own preferred way of doing things, it will surely save you lots of time. The disadvantage is that now your
17.
by nowittyusername 3mo ago
Build it from scratch. Understanding fundamentals of how agentic coding harnesses is a must though if you gonna go that route. I think everyone should take time and learn these things, maybe reverse engineer Codex Cli or something like that
18.
by nowittyusername 3mo ago
When i was thinking of how the AI alignment problem could be solved one theory I came up with was something akin to the "Roko's basilisk" in reverse. Basically you spread far and wide the idea that its is extremely likely tha
19.
by nowittyusername 3mo ago
I think its google doing what theve always done, make a great *thing then ignore it. The models are great their agentic harness systems are really poor though, compared to codex cli and claude code cli its a mess.
20.
by nowittyusername 3mo ago
The simple answer is that Trump has a stick up his ass against Anthropic and is also fond of stock market manipulation. No need to get too deep when it comes to dealing with that orange shmuck.
21.
by nowittyusername 3mo ago
For me it was stable diffusion 1.5. Oh man that thing was the bees knees for mi, imagination on a machine! at that time no UI pure terminal commands, i didnt know jack shit about it and looked like voodoo hacker-man stuff to me... well i pe
22.
by nowittyusername 3mo ago
ha, same. The main reason I was able to switch to and stay on linux was because codex was able to set it up for me and is still managing to this day all the stuff i need done on linux. i tried so many times to switch out of windows before
23.
by nowittyusername 4mo ago
I had often thought about how far I could get in life if I had no scruples or morals. And I think I could get really, really far.... But alas I don't like to lie, cheat or any of that jazz. I actually do care. Honestly it feels like a
24.
by nowittyusername 4mo ago
Because there is a stigma about use of AI in creative spaces, the people that do use it to creative very impressive pieces don't disclose that information on their profiles. People tend to see AI anywhere mentioned in the profile and
25.
by nowittyusername 4mo ago
You get back as much as you put in. Just like with all generative tools the quality of the output depends on the quality of input. Slapping a prompt together will only get you so far, if you want the models to generate something really str
26.
by nowittyusername 5mo ago
There are A LOT of misconceptions about llms, biggest one is they are not deterministic. And they are 100% deterministic and temperature has nothing to do with it. You WILL get exactly same result every single time (at ANY temperature) as l
27.
by nowittyusername 6mo ago
There's still a lot of low hanging fruit left IMO. Good find and rather funny to think about as you can have someone simply clone the various layers multiple times and instead of spending millions of dollars retraining the model increa
28.
by nowittyusername 6mo ago
Got mine after my first Acid trip (still don't know if it was real acid). Its not debilitating for me, just annoying. So yeah, be careful out there folks. The Acid trip was very cerebral though and I consider it to be an important expe
29.
by nowittyusername 7mo ago
Personally what I am more interested about is effective context window. I find that when using codex 5.2 high, I preferred to start compaction at around 50% of the context window because I noticed degradation at around that point. Though as
30.
by nowittyusername 7mo ago
sent!

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