Recent submissions

Comment · 2 years ago
Yes, that’s correct. Good correction.
Comment · 2 years ago
Unquantized model is here: https://huggingface.co/152334H/miqu-1-70b-sf

This strikes me as less a leak and more clever marketing from Mistral.

Comment · 3 years ago
Sure, the eventual societal equilibrium of a world with instant AI-generated nude photography is that value of shame over nude photography inflates away to zero.

But that’s cold comfort to a teenage girl being mocked from the next lunch table today.

Comment · 3 years ago
Twenty years ago was 2003. There are dozens of examples of AI x-risk thought experiments dating back to 1960.

As far as I can tell, all he did was open a forum for people to write fanfic about these earlier ideas.

Comment · 3 years ago
The same thing that happens with DAN jailbreaks of GPT-4.

Nothing.

The barrier between bad actors and bad acts was never a shopping list.

Comment · 3 years ago
Start small and be consistent. A few years ago at over 300lbs I started by walking around the park across the street. About .5 miles. Every day I tried to add 1%.

After six months I added a light jog for a mile.

Six months after that I was well enough to start HIIT classes. Six months after that I was strong enough to start real weight training and distance running.

Three years later I am down ~80lbs, able to run 10 miles at an 8:00 pace, and bench 205.

These aren’t extreme numbers for someone who started off reasonably healthy. But if you’ve been sedentary a long time, the difference in how you move and feel will be shocking.

Starting off can pose real challenges to your sense of self-worth, because you feel pathetic when you see how small your initial efforts are compared to what you see online and in media. It’s important to shift your mindset toward self-comparison, being slightly better than yourself yesterday.

If you’re struggling because you have chosen other priorities over your body (e.g. coding, family) in your 20s, I promise you, you will get there with consistent effort and compounded effort over time.

Comment · 3 years ago
>What’s the clinical definition of “tight shoulders”?

Chronic contraction of the upper trapezius.

>[I]s it shown to correlate significantly with inhalation problems?

There’s not much in the medical literature beyond noting that that upper trapezius is an accessory muscle in expanding the lungs. (MDs correct me if this is wrong.)

Physiotherapy research is less rigorous but more expansive on the point. See e.g. Kim et al.

>BACKGROUND: Forward head posture (FHP) causes changes in the strengths and rigidities of cervical muscles.

OBJECTIVE: The aim of this study was to investigate correlations between FHP and respiratory functions and the muscle activities of respiratory accessory muscles in young adults in their 20s.

METHODS: A volunteer sample of 33 healthy young adults participated in this study. Craniovertebral angle (CVA), cranial rotational angle (CRA), vital capacity (VC), forced vital capacity (FVC), forced expiratory volume at 1 second (FEV1), peak expiratory flow (PEF), maximal voluntary ventilation (MVV), and sternocleidomastoid (SCM) and upper trapezius activity ratios were measured.

RESULTS: Significant positive correlations were found between CVA and VC, FVC, FEV1, PEF, and MVV, and a significant negative correlation was found between CVA and SCM activity ratio. Significant negative correlations existed between CRA and VC and FVC, and significant positive correlations between CRA and SCM and upper trapezius activity ratios.

Comment · 3 years ago
I wish OpenAI embedded the ChatGPT version date from the interface in the shared chats. It would save a lot of speculation.

I am on the September 25 version, which says its cutoff date is January, 2022.

Comment · 3 years ago
100% of people know the most common 1000 words. The remainder of those who know more words fall into a consistent curve across languages that follows Zipf’s law. This is different than “most people know 1000 words on average.”
Comment · 3 years ago
Comment · 3 years ago
Yeah, that’s the only bad argument.
Comment · 3 years ago
>He was forced to due to ad revenue plummeting as a reaction to his own actions and policies.

That’s incorrect. The need to diversify away from ad revenue was a topic discussed with Jack prior to the acquisition. The rationale was that advertisers effective control content moderation policies due to the revenue which they provide.

This is true. Whether it’s bad on or not depends on your viewpoint and ideological position. What advertisers want for now, e.g. with regard to social policy, may be aligned with what you or I want now.

But there’s no guarantee that will be true in the future.

>I’d argue there’s a reasonable middle ground between “a bloated team” and “just the die-hards.

Layoffs are painful, and they were handled poorly. But there can be no doubt the prior company was massively overstaffed.

If you’re going to cut, generally you want to cut deep to prevent future rounds. Arguably not increasing the size of the first layoffs led to the second, and more people could have been preserved in total.

There’s very little virtue in “middle ground” in this context.

> Community notes existed before Musk, and their role is to dispute a claim or provide context. They don’t moderate content in any way.

It doesn’t moderate content in any way… except for placing large labels to “dispute a claim or provide context.”

Sure, if you very narrowly constraint content moderation to the Trust and Safety definition of removing content and administering bans it doesn’t.

Birdwatch existed, but the prominence of the feature and improved reliability of the feature weren’t launched until after acquisition.

It solved the main edge cases for content moderation by only displaying labels when moderators who disagreed sufficiently on other issues agreed on that particular label.

It has significantly impacted the disinformation at scale problem for the better.

Comment · 3 years ago
After the CPUC voted to approve the self-driving expansion, the same people that tried to block self-driving cars there pulled two regulatory levers.

First, the California DMV, with result seen here.

The incident that triggered this event happened when a human driver, who is still at large, hit a pedestrian who flew into the path of the Cruise vehicle.

The car executed a maneuver to pull over for a safety stop, but failed to recognize the woman who was dragged some distance.

Second, they reached to the Federal agencies via Nancy Pelosi’s office, with primary focus being the NHTSA, the National Highway Traffic Safety Administration.

The request was to gather data, which given the friendly posture of the NHTSA at this time will likely result in the opening of an investigation.

Both of these moves have some bite. The California DMV can suspend licensure as happened here.

But they’re fairly straight-shooter civil service types in the end, and they’ll eventually clear the vehicles for use. You can see this in part because of the action against Cruise only, rather than Waymo.

Some may attribute this to Waymo’s greater political sway in California. But my experience of the products themselves is that Waymo has a higher quality self-driving system.

The NHTSA is a bit trickier to predict.

The NHTSA’s powers are broad in theory and as granted by statute. They could theoretically issue an order to remove a type of vehicle from the road for imminent threat to public safety.

However, their typical modus operandi is to issue recalls and work with the auto companies. They won’t want to test these powers under the current court, so my opinion is that they won’t take much action.

Comment · 3 years ago
Generally I appreciate Elon Musk’s work a lot. He created two world-changing companies in SpaceX and Tesla. I wanted him to be good at running Twitter/X.

It seemed like a good match. Staid company meets indefatigable executive.

His early moves prompted a lot of pushback but were generally wise: Diversified away from ad revenue. Introduced breaking changes to accustom the user base to faster development. Cut costs they couldn’t afford by shuttering a data center. Shrunk a bloated team to die-hards via whaling-and-culling. Not least, open sourced some recommender system code, and largely solved the content moderation problem via Community Notes.

Individually, all good steps. Sure, there were many misfires along the way: the verification system, launch of Twitter Blue, and erratic public ideation of potential features.

But I am ready to declare the Musk&Twitter/X experiment a failure.

The crux of the matter is this: Twitter exists as part of an ecosystem. Elon has alienated a large part of that ecosystem, both in terms of creators and advertisers.

I don’t know whether the network effect will tip or the business will run out of cash first, but I am confident it will not grow enough to justify the investment.

Maybe I’m wrong. Maybe alternate revenue streams and the value of Twitter’s data for AI training will be enough to keep it viable.

But I’m just not seeing the path.

Comment · 3 years ago
Hopefully the ZIRP idea that dies is that VC and Big Tech can create companies off a conveyer belt.

VCs today go after shiny baubles, like “27 innovators under 27” nonsense, and have forgotten they’re mainly looking for high talent very resilient technical weirdos and any other characteristics are bonus.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton