I don't count calories. I went off Ozempic (now Mounjaro) and I gain weight at about 0.5-1kg a month.
As I am resistance (gym) training, significant % of that ends up being muscle mass rather than fat.
So I end up taking Mounjaro for about 1-2 months every 3-4 months, approximately 33% of the time being "on".
Funnily, I end up with bulk/cut periods without doing them explicitly. This ends up working well for growing muscles.
Notice all people in the story are women. I guess pairing GLP-likes with bodybuilding works quite well for men. As times goes on, I end up needing mounjaro less due to my increased muscle mass.
When you restart taking it after an "off" period, do you immediately resume whatever dose you were at before? Or do you taper up each time? (Curious because I know for many people, side effects level out after they've been at a given dose for long enough, but temporarily return whenever they increase their dose; not sure how "off" periods affect that kind of tolerance.)
The H-1B program was already broken by the lottery. This new fee just solidifies the L-1 visa as the real high-skilled pipeline. More L-1 visas are already approved annually than new H-1Bs, and this policy only widens that gap.
In addition to L1, O1 is also often gamed. $100K for H1B is mostly "posturing" at this point, as voters don't know about other options.
L-1 has been broken for decades as well. The same problems that impact an H1B impact an L1 as well.
The only way abuse of both visas can stop is if they are not tied to an employer, allowing free movement of labor. Thus, if someone is talented and at TCS then they can either demand a salary equal to their skill or go to an employer who can offer that salary.
Additonally, federal, state, and local governments need to start playing the subsidy game that Poland, Romania, Czechia, India, Israel, and other companies play to attract offshore offices.
> H1B is mostly "posturing" at this point, as voters don't know about other options
I disagree. This was clearly timed to distract and overshadow the Gold and Platinum card announcement.
> the subsidy game that Poland, Romania, Czechia, India, Israel, and other companies play to attract offshore offices.
Do you mean US government must dramatically reduce cost of living by offering subsidized housing, investing in education, healthcare etc? When I hire, I never consider USA and nobody pays me to find skilled labor in Eastern or Central Europe. You can pay one half of American salary there and people will be put in upper middle class with such income, being able to afford a lot and living comfortable life.
Changing or Leaving Your H-1B Employer
Q. What is “porting”?
A. There are two kinds of job portability, or “porting,” available based on two different kinds of employer petitions:
H-1B petition portability: Eligible H-1B nonimmigrants may begin working for a new employer as soon as the employer properly files a new H-1B petition (Form I-129) requesting to amend or extend H-1B status with USCIS, without waiting for the petition to be approved. More information about H-1B portability can be found on our H-1B Specialty Occupations page.
...
Q. How do I leave my current employer to start working for a new employer while remaining in H-1B status?
A. Under H-1B portability provisions, you may begin working for a new employer as soon as they properly file a non-frivolous H-1B petition on your behalf, or as of the requested start date on the petition, whichever is later. You are not required to wait for the new employer’s H-1B petition to be approved before beginning to work for the new employer, assuming certain conditions are met. For more details about H-1B portability, see our H-1B Specialty Occupations page, under “Changing Employers or Employment Terms with the Same Employer (Portability).”
---
Someone on a H-1B visa can change jobs as soon as the other employer files a form I-129 to hire them.
It still means you cannot, for instance, quit to escape intolerable conditions, unless you already have another job lined up.
It also means that you're much, much less likely to find another employer willing to fill out the paperwork to hire you—especially if they also have to pay the $100k fee (yes, I know, the announcement doesn't say they have to—wanna take bets on whether Trump would say they do if he learned that it's possible?).
Is Trump the great puppet master people believe him to be, or more likely someone like Lutnick? Think about that. It’s hard to imagine a fool that’s more easy to manipulate than Trump, and I was here for GW Bush!
...I don't particularly credit any grand strategy to Trump, nor do I think my post suggested that?
It's possible that someone intended the knock-on effects I describe, but I would say it's just as likely that it's pure coincidence that they support the right's desire to hurt labor as a whole.
Ads inside LLMs (e.g. pay $ to boost your product in LLM recommendation) is going to be a big thing.
My guess is that Google/OpenAI are eyeing each other - whoever does this first.
Why would that work? It's a proven business model. Example: I use LLMs for product research (e.g. which washing machine to buy). Retailer pays if link to their website is included in the results. Don't want to pay? Then redirect the user to buy it on Walmart instead of Amazon.
I actually encountered this pretty early in one of these user tuned GPT's in OpenAI's GPT store. It was called Sommelier or something and it was specialized in conversations about wine. It was pretty useful at first, but after a few weeks it started lacing all its replies with tips for wines from the same online store. Needless to say, I dropped it immediately.
Forget links, agents are gonna just go upstream to the source and buy it for you. I think it will change the game because intent will be super high and conversion will go through the roof.
Look, the car shop might not bill you at all because their A.I agent will hallucinate the purchase, so I don't see why you're so pessimistic about agents.
No, a small group of highly tech-literate people are wary of this. Your personal bubble is wary of this. So is some of mine. "People" don't care and will use the packaged, corporate, convenient version with the well-known name.
People who are aware of that and care enough to change consumption habits are an inconsequential part of the market.
I don't know, a bunch of the older people from the town I grew up in avoided using LLMs until Grok came out because of what they saw going on with alignment in the other models (they certainly couldn't articulate this but listening to what said it's what they were thinking.) Obviously Grok has the same problems but I think it goes to show the general public is more aware of the issue than they get credit for.
You combine this with Apple pushing on device inference and making it easy and anything like ads probably will kill hosted LLMs for most consumers.
Mindless optimization of basic "attention grab" metric is why the whole internet feels like a slots machine. Be it reddit, Facebook, YouTube, any google result
Thankfully this won't happen with LLMs, as compute is too expensive so execs can't just take an easy way out of optimizing for number of questions asked
More to that - at this point, it feels to me, that arenas are getting too focused on fitting user preferences rather than actual model quality.
In reality I prefer different model, for different things, and quite often it's because model X is tuned to return more of my preference - e.g. Gemini tends to be usually the best in non-english, chatgpt works better for me personally for health questions, ...
In my previous company I had a good setup for costs monitoring - including release to release comparisons, drill downs, statistics, etc.
After each release I looked at this data. It saved a lot of $, by simple fixes like "why we are calling this API twice?".
It also quite some issues that weren't strictly customer related, but weren't apparent from other type of data (you will always have some "unknown unknowns" in your monitoring, and costs data seem to be pretty wide net to catch some of those)
Also keeping context short. Virtually all my cases of bad hallucinations with o1 have been when I've provided too much context or the conversation has been going on for too long. Starting a new chat fixes it.
You can see this effect in the ARC-AGI evals, too much context impacts even o3(high).
I don't count calories. I went off Ozempic (now Mounjaro) and I gain weight at about 0.5-1kg a month.
As I am resistance (gym) training, significant % of that ends up being muscle mass rather than fat.
So I end up taking Mounjaro for about 1-2 months every 3-4 months, approximately 33% of the time being "on".
Funnily, I end up with bulk/cut periods without doing them explicitly. This ends up working well for growing muscles.
Notice all people in the story are women. I guess pairing GLP-likes with bodybuilding works quite well for men. As times goes on, I end up needing mounjaro less due to my increased muscle mass.
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