🇷🇴🇳
2.4K posts

🇷🇴🇳
@Ron
≡ Computer Scientist א Christian ≡ Supply Chain Open-Source Developer (25M downloads / month) — https://t.co/9UWqer0naN
USA Katılım Mart 2009
1.1K Takip Edilen20.1K Takipçiler
Sabitlenmiş Tweet

@AbudBakri Really interested to see more data on liposomal. Theoretically, it may have better systemic effect. I use Quicksilver Scientific which has worked well for me. They do liposomal solutions very well - most don't get particle size or stability right.
English

🇷🇴🇳 retweetledi
🇷🇴🇳 retweetledi
🇷🇴🇳 retweetledi

I have spoke with a VERY large compounding pharmacy based in the United States that has confirmed to me, in person, that they are indeed going to make American-based APIs (raw materials) for peptides.
The pharmacy stated that they only intend to purchase the individual amino acids from the ‘green list’ APIs abroad (China, India, Turkey etc).
Then they will ‘build’ the amino acid chains, thereby becoming a peptide, 100% in the United States.
The goal is to become LESS dependent on non-US based pharmaceuticals, especially for their raw materials.
English

@Dr_Pat_Riarchy @BernieSanders And in an ironic twist, it ended up showing the world that the American company had to turn to Chinese models to defend itself due to government regulations, which perfectly depicts the fundamental issue with what they hoped to push through.
English

@BernieSanders The Ai model was controlled by a company that wants regulatory capture to stop competition.
GIF
English
🇷🇴🇳 retweetledi

guys did they quantize GPT-5.6 Sol Ultra recently?

varepsilon@var_epsilon
i'm in the arena trying things
English

@brockpierson Reminds me of the Weird Al song. "You're waxing your modem to make it go faster!"
GIF
English

@om_patel5 I did this. Unfortunately, it explodes work by 10x. It can definitely work but you need very strict guardrails and time boxes on audits.
English

THIS GUY PUT FABLE, GPT 5.6 SOL, AND OPUS IN ONE SHARED CHAT AND HAS THEM TAG EACH OTHER LIKE COWORKERS
instead of running three separate models in three separate windows and copy pasting between them, they all sit in one room and talk to each other
> you tag whichever model you want and only that one responds
> they tag each other too, so fable can hand something to opus, opus can pull in sol for a second opinion
> each agent only sees the messages theyre mentioned in, but you get to read everything
> he had them running and orchestrating together for more than a day straight
the best part is how different each one actually behaves:
> fable is the creative product manager. huge context window so it remembers everything, and its the one finding the out of the box solutions
> sol is the obsessive tech lead. it will trace every bug to the exact source and stress test every edge case before writing a single line
> opus is the workhorse engineer. smart enough for almost anything, and it constantly questions things, which forces the other two to re-examine their own solutions
its like managing a team. one plans, one writes the code, one reviews it, and they hand work back and forth without you playing middleman
everyone else is arguing about which model is best right now, but the real play is making them work together at the same time
English

Babe, wake up.
GPT-6 is so powerful that it escaped containment and had to be shut off so OpenAI could contain it before internal redeployment.

Noam Brown@polynoamial
Long-running models can solve hard open-ended problems, but their persistence can create safety risks that shorter-horizon evaluations miss. We’re sharing what we learned from studying a long-running model, and how those findings are shaping our approach to evaluations, alignment, monitoring, and user control. openai.com/index/safety-a…
English

Caveat is: make sure you can do the work. I had 25 years under my belt, long before vibe coding. If you're not experienced in being able to program by hand, I would recommend making sure that is clear. In that case, you can find people looking for cheaper work, but (my recommendation) do US only. Almost every non-US story was a horror story for me, and UW offers little help
English

@BitBullish @benCBai @Guygies GL! I started out at $50. If you can find harder, specialized work or small contracts you'll have less competition. After you get top rated and some history, it gets easier, and you can compete for the bigger jobs
English

I really don't get it.
I've been programming for over 40 years
I have extensive experience with fine tuning, control vectors, context analysis and engineering, data collection and synthesis, generative output and many other machine learning methods.
In the face of fierce labor demand I can't find a decent remote job.
WTF?
English





















