As for the party’s base, what policy issues are MAGA rally-goers wound up about? Not the deficit or taxes, and not the ACA. In the past, those issues gave expression to their underlying grievances, but no longer. After the election, one GOP polling firm asked Republicans about their biggest concerns for a post-Trump Republican Party. Forty-four percent wanted a party that would “fight like Donald Trump,” while only 19 percent worried that a post-Trump GOP would “abandon Donald Trump’s policies.”
Work on short descriptions
More Ecco. Set up meeting for tomorrow morning? Yes! 10:00
11:00 Meeting with Vadim. Rescheduled for tomorrow
Verified that the rotations are working right in the testbed:
Without gravity, bullets travel in a straight line at constant velocity. To determine where to shoot, imagine shooting an infinite number of bullets simultaneously in all directions, forming an expanding sphere of death. While the sphere is expanding, the target is moving along a straight line (or standing still). If we can determine the instant at which this expanding sphere touches the moving target, we know where to aim: at the target’s position when it gets hit by the expanding sphere of death.
# based on this blog post: https://playtechs.blogspot.com/2007/04/aiming-at-moving-target.html def calc_intersect_time(p:np.array, v:np.array, s:float) -> float: print("calc_intersect_time()") a = s * s - np.sum(np.square(v)) bv = p * v b = np.sum(bv) cv = np.square(p) c = np.sum(cv)
disc = b*b + a*c
t = 0 if disc >= 0: t = (b + np.sqrt(disc)) / a return max(0, t)
While there were no names or phone numbers in the data, we were once again able to connect dozens of devices to their owners, tying anonymous locations back to names, home addresses, social networks and phone numbers of people in attendance. In one instance, three members of a single family were tracked in the data.
Have the code running locally (the NVIDIA update worked too!):
Messaged Jay Alamar on twitter. Working on setting up a video chat
The IJCAI-21 summary reject phase has now ended and we are pleased to inform you that your submission #1558 "Navigating Human Language Models with Synthetic Agents" will enter the full-paper review phase.
Datasets are not only resources for training accurate, deployable systems, but are also benchmarks for developing new modeling approaches. While large, natural datasets are necessary for training accurate systems, are they necessary for driving modeling innovation? For example, while the popular SQuAD question answering benchmark has driven the development of new modeling approaches, could synthetic or smaller benchmarks have led to similar innovations?
This counterfactual question is impossible to answer, but we can study a necessary condition: the ability for a benchmark to recapitulate findings made on SQuAD. We conduct a retrospective study of 20 SQuAD modeling approaches, investigating how well 32 existing and synthesized benchmarks concur with SQuAD — i.e., do they rank the approaches similarly? We carefully construct small, targeted synthetic benchmarks that do not resemble natural language, yet have high concurrence with SQuAD, demonstrating that naturalness and size are not necessary for reflecting historical modeling improvements on SQuAD. Our results raise the intriguing possibility that small and carefully designed synthetic benchmarks may be useful for driving the development of new modeling approaches.
Finished the Charles Dawson and Alfred Wegoner bits. Working on play
Finally got the sim working again! Now back to getting the scriptreader in
More than a week after Donald Trump departed the White House, shattering their hopes that he would expose the worldwide cabal, some QAnon adherents have concocted ever more elaborate stories to keep their faith alive. But others like Smith are turning to therapy and online support groups to talk about the damage done when beliefs collide with reality.
This study examined the problem of news distrust in a new way. We tested whether trust or distrust in a news outlet can be cued at the “domain level” — alongside search information about the news outlet — rather than beside or within a specific story. To do this, we used information about the news outlet — signals — that could be shown in a sidebar called a Knowledge Panel7 when people do a Google search for that news outlet. We conducted one experiment in the U.S. and Germany, and another in the U.S., Germany, and Brazil. We used multiple countries in order to determine how trust signals work across different cultures with varying levels of news trust.8 The Google News Initiative funded this research.
In our forthcoming book, You Are Here, Ryan Milner and I explain the limitations of focusing on obvious sources of harm within the information ecosystem. To do this, we use biomass pyramids—diagrams that visually represent the cumulative weight and population size of various organisms within the same ecosystem. Apex predators—the lions, tigers, and bears—are at the very top of the pyramid. There are fewer of them, and as a result their cumulative weight is often relatively low, but they pose outsized threats to the rest of the ecosystem. At the same time, they are utterly dependent on all the lower strata. Take away their prey, take away their prey’s prey, take away the ecological conditions that sustain the biomass, and the lions and tigers and bears don’t have a chance.
More conclusions. I am not going in the direction that I thought when I started writing.
Verifying that everything still works after checking out Vadim’s changes. Nope, things are very wrong.
I think I fixed the physics step by making it the calculated time, but the ReactionWheelController needs to be updated to take the scaled_dclock values
Update TopController – not yet, I guess
2:00 customer meeting
Ok, back to figuring out intersections while I wait for Vadim
Ok, so we’re still in the middle of a pandemic, it looks like around 400 people might be charged with sedition for the Jan 6 attack on the Capitol, and the GOP doesn’t want to have anything to do with impeachment, but the crazy seems to be much lower.
Vaccines are rolling out, and we’ll probably be at closer to 200M vaccinations by April. The government appears to be doing things again. It feels like we are past the turning point in whatever metaphor you’d like to use here, and now entering the mopping up phase.
What America needs instead is a creative, comprehensive effort by both the private sector and the government to disincentivize conspiracies and misinformation on the many platforms on which they flourish. Some social media companies have begun this work, clearing out QAnon sites and banning some far-right and White power users and communities who pose a threat. That work needs to continue, with careful attention to the biggest offenders who game algorithms and media structures to spread misinformation. But sources of misinformation also need to be demonetized, whether they are YouTube channels or national cable networks, and algorithms tweaked to slow down the spread of extreme content.
More conclusions. I’m tempted to look at antisemitism through the dominance hierarchy lens. To show that if you truly feel that you are at the top of the hierarchy (just under your God), and use the Bible as the scaffolding for that understanding, then the fact that the same bible says that the Jews are chosen by God must really require some mental gymnastics. And for some, those gymnastics lead to genocide, since once the Jews are gone, then there is no one between you and God, and the rightful order is restored.
I think this is related to slavery and racism in the US. To be able to treat people as property requires that they be less than people, otherwise dominance makes no sense. The hierarchy of God -> slave holder -> slave justifies any dominance behavior. And in the end the mental gymnastics that are required for that are the same as those required by anti-Semites. These are both co-created fictional social realities that exist in the communities that believe themselves righteously superior to those they oppress. And as we now understand, that process of creating hierarchical social realities can often stampede to the worst possible places.
SEVEN trainings by Feb 1! But I can’t get to my email, so that’s going nowhere
11:00 Meeting with Vadim. He has most of the changes in. Waiting for some final work and then I’ll start rolling in the new TopController
Starting conclusions. Going at it from explore/exploit, and why it’s important to have primordial movement, which is the domain of youth
Talked to Aaron about using the time for a state switch as part of the input vector, or alternatively doing something like a waterfall CNN-style input to account for time. Didn’t seem to get much traction.
10:00 Meeting with Vadim. I think we worked through the issues. 11:00 meeting tomorrow to discuss
Something’s wrong with ScriptReaderScratch – fixing
We are making publicly available VoterFraud2020, a multi-modal Twitter dataset with 7.6M tweets and 25.6M retweets from 2.6M users that includes key phrases and hashtags related to voter fraud claims between October 23rd and December 16th. The dataset also includes the full set of links and YouTube videos shared in these tweets, with data about their spread in different Twitter sub-communities. Key takeaways from our initial analysis of the data are listed below.
Not much time to work on it this morning, but added some text about Stephens’ neural coupling. Tomorrow I’ll talk about the agents a bit and in particular how increasing dimensions makes it harder to have a stampede