I expected Kimmel to have somehow criticized Kirk, a dubious enough reason to pull the show. But this isn’t even that. Comments quoted in stories assert that the shooter was MAGA - maybe that’s somewhat controversial, but it’s ludicrous to suggest it’s offensive.
That paired with comments criticizing the Dear Leader were enough. This is a new low in corporate cowardice toward Trump bullying.
Stop criticizing large corporations as moral entities. They have no other incentives other than money. Corporations are amoral (not good or bad). Only money matters.
South Park can go on because they make money. Talk-shows are already dying and cutting them is easy choice even under mild pressure.
The value talk they use is PR aimed at stakeholders (customers, employees, government). No company has taken a stance where they willingly accept net negative returns if they have other choice.
>Stop criticizing large corporations as moral entities. They have no other incentives other than money. Corporations are amoral (not good or bad). Only money matters.
Not just corporations, every institution from the church to every silo in your government to big nonprofits. The latter ones just have less measurable goals than profit, but they sociopathically seek their goals all the same. Beyond a certain scale organizations staffed by humans no longer act human.
It's extremely relevant. The person grew up "conservative" and was radicalized to the left in college. The reason this is important is that it's a trend. If the trend isn't acknowledged on the left, then it will just continue.
Well school shootings are a trend too. The guy who was murdered openly and explicitly supported doing absolutely nothing about it (and gun violence in general).
Regardless of this specific case the “right” ignores, supports or even encourages political violence on a much bigger scale than anyone else.
So why is it only a problem in some specific cases but not in general?
Are you seriously suggesting that Utah State University, a school that is often on people's lists of the most conservative colleges in the US, radicalized him to the left? And they managed to do that in the one semester he attended?
Well obviously all colleges radicalize students to the left, which is why they want to get rid of college entirely. Public education as a whole radicalizes people to the left so they want to get rid of that too, so that it's too expensive for most people to send their kids to school.
"College educated voters tend to vote for democrats" and "colleges radicalize students to the left" are two different things. The claim is not that this person was more likely to vote for Harris than Trump. The claim is that university convinced him to murder people.
While nothing I said is contradicted by your reply, it's pretty crazy to imply "radicalizing students to the left" is tantamount to "convincing him to murder people".
The specific (ridiculous) claim is that this person was well adjusted prior to college, then attended college, and through his one semester at college became not just a leftist but a leftist who was willing to murder for his ideology.
Can you be more specific about how a single semester of an online college, as is the case with the acused, hypothetically would "radicalize to the left" a person like the alleged shooter?
I see nothing wrong with people acquiring a left-wing political lens as a result of their own independent thought process (which, by the way, has nothing to do with universities, regardless of what the right-wing talking points you're referencing say; the shooter went to a trade school).
And in any case, a significant majority of political violence is caused by right-wing extremists. Of course the DOJ just deleted that report because it was inconvenient to their narrative.
However, you've possibly read that already since you're 41% number appears to be sourced from that page and is specifically talking about deaths and not events from 9/11/2001 to 2017. That 41% is heavily influenced by the deadliest event which was the Orlando Shooting, and if you look at the overall picture, 73% of events were perpetrated by white supremacists.
Honestly, directly reading the GAO study and the other, more recent, studies is a lot more illuminating and illustrates the growing issue of white supremacy and far-right political violence.
A 2017 report by The Nation Institute and the Center for Investigative
Reporting analyzed a list of the terrorist incidents which occurred in the US
between 2008 and 2016.[27] It found:[28]
115 far-right inspired terrorist incidents. 35% of these incidents were
foiled (this number means that no terrorist attacks occurred) and 29% of them
resulted in fatalities. These incidents caused 79 deaths.
63 Islamist inspired terrorist incidents. 76% of these terrorist incidents
were foiled (this number means that no terrorist attacks occurred) and 13% of
them resulted in fatalities. These incidents caused 90 deaths.
19 far-left inspired terrorist incidents. 20% of these terrorist incidents
were foiled (this number means that no terrorist attacks occurred) and 10% of
them resulted in fatalities. Two of these incidents were described as
"plausibly" attributed to a perpetrator with left-wing sympathies and caused
7 deaths. These are not included in the official government database.[15]
So out of 197 incidents reported between 2008 and 2016, 58% were "Far Right" inspired, 32% were "Islamist" inspired and 10% were "Far left" inspired.
Yeah, the GAO study was purely based on the U.S. Extremist Crime Database and that's clearly a limitation, although less of one than reading through a list of notable attacks on a wiki page. The page itself also is generally about terrorism, so it talks about both international and domestic throughout it which can be confusing. That's why I suggested looking at the actual studies linked to on the page, a lot of them do a better job of pointing out their time period and limitations than the brief overview on the page.
Also, the page only has pretty good resources up until like 2020, where it ends with a study from the Center for Strategic and International Studies which reviews data up to May 2020, and DHS which reviews data from 2018-2019. The CSIS one is pretty good because it includes graphs of data over time and really shows the worrying increase across the board but the staggering increase of "right-wing" violence since the mid 2010s.
CSIS has a few more studies more recently it looks like. There's https://www.csis.org/analysis/pushed-extremes-domestic-terro... from 2022, which shows that 49% of events were committed by far-right and 40% were far-left. However, the far-right were more likely to target people with guns and bombs and the far-left were more likely to target property with melee and incendiary weapons, so 28 of the 30 deaths were from the far-right while the far-left accounted for 1.
However, CSIS likewise uses their own database of attacks, and in between the other studies and the most recent one it appears they changed their methodology of what attacks were included to make it more strictly about an attempt or threat to kill (which would remove a lot of the property based attacks from the previous study), premeditation, and desire to strike fear broadly. I'd be interested in seeing a revisitation of their previous methods with their new datasets, or even to actually be able to see the dataset itself.
> It found 28% of people who identified as liberal supported the murder, compared to 5% of conservatives.
Both the left and the right (which tends to be poorer right now) are massively affected by the cost and non-coverage of insurance. The LEFT WING is violent right now.
Why lie? Just because you have a short memory, and cannot recall:
* A right wing extremist killed the MN speaker of the house, her spouse, and their dog
* A right wing extremist attacked Speaker Pelosi's house in an attempt to kidnap her, and attacked her husband with a hammer (an incident that republicans were happy to crack jokes about)
* January 6th, 2021
* 2022 A right wing extremist shot and killed 10 people at a supermarket in Buffalo NY.
* 2025 A right wing extremist shot up a school in Colorado
* 2018 A right wing extremist sent mail bombs to democrats
Or do you think attacks on matter if the people killed is someone you like?
I think what we'll eventually see is frontier models getting priced dramatically more expensive (or rate limited), and more people getting pickier about what they send to frontier models vs cheaper, less powerful ones. This is already happening to some extent, with Opus being opt-in and much more restricted than Sonnet within Claude Code.
An unknown to me: are the less powerful models cheaper to serve, proportional to how much less capable they are than frontier models? One possible explanation for why e.g. OpenAI was eager to retire GPT 4 is that those older models are still money losers.
Everything I've seen makes me suspect that models have continually got more efficient to serve.
The strongest evidence is that the models I can run on my own laptop got massively better over the last three years, despite me keeping the same M2 64GB machine without upgrading it.
Compare original LLaMA from 2023 to gpt-oss-20b from this year - same hardware, huge difference.
The next clue is the continuing drop in API prices - at least prior to the reasoning rush of the last few months.
One more clue: o3. OpenAI's o3 had a 80% price drop a few months ago which I believe was due to them finding further efficiencies in serving that model at the same quality.
My hunch is that there are still efficiencies to be wrung out here. I think we'll be able to tell if that's not holding if API prices stop falling over time.
Why do you think OpenAI wanted to get rid of GPT-4 etc so aggressively?
I suppose there's a distinction between new less capable models, I can see why those would be more efficient. But maybe the older frontier models are less efficient to serve?
Definitely less efficient to serve. They used to charge $60/million input tokens for GPT-3 Da Vinci. They charge $1.25/million for GPT-5.
Plus I believe they have to keep each model in GPU memory to serve it, which means that any GPU serving an older model is unavailable to serve the newer ones.
> In fact, even if you remove the cost of training models from OpenAI's 2024 revenues (provided by The Information), OpenAI would still have lost $2.2 billion fucking dollars.
People using their free offering for personal use is a critical part of Notion's sales pipeline. It's a hell of a lot easier to sell a piece of software to a company when all it's internal users have already trained themselves how to use it in their personal time. Those users are probably the ones generating the enterprise sales lead in the first place
Yes but users who are satisfied by an alternative (Obsidian) which can't be used with teams aren't their audience. If the user wanted to introduce the tool to their team, they wouldn't be satisfied with Obsidian. Google Docs is one link share away from team-sharing. Obsidian requires ditching Obsidian to share the practice with your team.
Google Docs as a paid enterprise offering wouldn't fly without having Gmail lock-in and having that underpin Google SSO.
That's what Microsoft has that market sewn up with Office 365, despite being several years late to collaborative document editing -- Outlook anchors the whole thing together.
There's certainly a symbiosis blog publishers and small startups wanting to be perceived as influential, and big companies releasing models and wanting favorable coverage.
I heavily discount same day commentary, there's a quid pro quo on early access vs favorable reviews (and yes, folks publishing early commentary aren't explicitly agreeing to write favorable things, but there's obvious bias baked in).
I don't think it's all particularly concerning, you can discount reviews that are coming out so quickly that's it's unlikely the reviewer has really used it very much.
There are many folks working on this, I think at the end of the day the long term memory is an application level concern. The definition of what information to capture is largely dependent on use case.
Shameless plug for my project, which focuses on reminders and personal memory: elroy.bot
What is the current hypothesis on if the context windows would be substantially larger, what would this enable LLMs to do that is beyond capabilities of current models (other than the obvious the
now getting forgetful/confused when you’ve exhausted the context)?
I mean, not getting confused / forgetful is a pretty big one!
I think one thing it does is help you get rid of the UX where you have to manage a bunch of distinct chats. I think that pattern is not long for this world - current models are perfectly capable of realizing when the subject of a conversation has changed
Yeah to some degree that's already happened. Anecdotally I hear giving your whole iMessage history to Gemini results in pretty reasonable results, in terms of the AI understanding who the people in your life are (whether doing so is an overall good idea or not).
I think there is some degree of curation that remains necessary though, even if context windows are very large I think you will get poor results if you spew a bunch of junk into context. I think this curation is basically what people are referring to when they talk about Context Engineering.
I've got no evidence but vibes, but in the long run I think it's still going to be worth implementing curation / more deliberate recall. Partially because I think we'll ultimately land on on-device LLM's being the norm - I think that's going to have a major speed / privacy advantage. If I can make an application work smoothly with a smaller, on device model, that's going to be pretty compelling vs a large context window frontier model.
Of course, even in that scenario, maybe we get an on device model that has a big enough context window for none of this to matter!
It's a floor raiser, not a ceiling raiser. It helps you get up to speed on general conventions and consensus on a topic, less so on going deep on controversial or highly specialized topics
That paired with comments criticizing the Dear Leader were enough. This is a new low in corporate cowardice toward Trump bullying.