haruki zaemonCaused by the bacterium Yersinia pestis, plague is not a thing of the past. Every year, cases are reported in Africa, some parts of Asia, South America, and the U.S. Known for killing millions in the Middle Ages, people get infected with the plague after coming into contact with a rodent flea or being bitten by one infected with the plague.
At every step and every level there’s an abundance of detail with material consequences. Surprising detail is a near universal property of getting up close and personal with reality. The more difficult your mission, the more details there will be that are critical to understand for success.
Before you’ve noticed important details they are, of course, basically invisible. It’s hard to put your attention on them because you don’t even know what you’re looking for. But after you see them they quickly become so integrated into your intuitive models of the world that they become essentially transparent.
This means it’s really easy to get stuck. Stuck in your current way of seeing and thinking about things. Frames are made out of the details that seem important to you. The important details you haven’t noticed are invisible to you, and the details you have noticed seem completely obvious and you see right through them. This all makes makes it difficult to imagine how you could be missing something important.
If you wish to not get stuck, seek to perceive what you have not yet perceived.
managing conflict is really about managing expectations. The earlier you set expectations with others, and understand their expectations, the better you can prevent situations where mismatched expectations result in conflict.
Laying out all of your internal, secret expectations is hard and uncomfortable because we do it so rarely, but doing so is important.
The best way to manage expectations is to keep everything in the open. The more transparent you are about everything, the less chance there will be that expectations are mismatched
At just 27 meters in diameter, Czepiela really didn’t have a lot of runway to work with, and at 212 meters above the ground, he had even less room for error. In order to achieve the landing, Czepiela practiced landing more than 650 times on a regular runway with a target painted on the tarmac.
“We needed specific wind direction and precise speed,” Czepiela said. “With too little wind and I wouldn’t be able to stop, too much of it would generate turbulence so intense that it would be tossing the plane, making me hit the building. Therefore, it was essential that we waited for the right conditions. In fact, flying entails 90 percent waiting and 10 percent hurrying, and this project wasn’t any different.”
The steel industry is accountable for about 7 percent of CO2 emissions globally. Its dependence on coal for the conversion of iron ore into its raw metallic form makes it incredibly challenging to decarbonize.
Helios has found that sodium may be utilized in place of carbon-rich coal.
Bender is a computational linguist at the University of Washington. She published the paper in 2020 with fellow computational linguist Alexander Koller. The goal was to illustrate what large language models, or LLMs — the technology behind chatbots like ChatGPT — can and cannot do.
The paper’s official title is “Climbing Towards NLU: On Meaning, Form, and Understanding in the Age of Data.” NLU stands for “natural-language understanding.” How should we interpret the natural-sounding (i.e., humanlike) words that come out of LLMs? The models are built on statistics. They work by looking for patterns in huge troves of text and then using those patterns to guess what the next word in a string of words should be. They’re great at mimicry and bad at facts.
We’ve learned to make “machines that can mindlessly generate text,” Bender told me when we met this winter. “But we haven’t learned how to stop imagining the mind behind it.”
People soon realise how much faster work can move through the system–how much sooner we can realise value–by moving the people to the work; rearranging people into teams aligned with these value streams.
For programme-scale product development—typically in the 50-200 person range—we run quarterly planning sessions where we review progress, align on direction and strategy, and set ourselves challenging goals using OKRs. We also use these sessions as an excuse to celebrate what we have achieved. Based on these new goals, there may be some movement of people between teams. Sometimes teams may disperse and new teams form as the profile of the work changes.
You can only do this if you understand all the different demands on the teams. Whether you model your product development work as features, epics, stories, experiments or goals, this still represents only one type of work, namely customer-facing delivery. Unless you can see all the competing sources of demand on the teams and on the organisation—and treat all of this as first-class work—you will continue to be disappointed that your expectations go unmet as all that unmanaged “ghost” work gets in the way.
Running engineering onboarding is optimizing two closely related problems:
- How do we increase the percentage of engineers who are reasonably productive at three months?
- How do we set the foundation that ends with more extremely impactful engineers a few years from now?
Done well, it excites new hires and raises the floor for success. Indeed, in rapidly hiring companies, effective onboarding is the highest-value investment you can make into engineering productivity
This project has enabled us to accurately classify a broad range of sensitive documents across the Adobe-wide SharePoint environment. In the future, we plan to grow this project by implementing more sophisticated ML models (such as BERT), continuing to expand our document categories, and extending our scanning capabilities to AWS S3 buckets and Azure storage blobs. We look forward to continuing our efforts in leveraging ML to help strengthen the security posture of our enterprise applications.
In one case, an executive cut and pasted the firm’s 2023 strategy document into ChatGPT and asked it to create a PowerPoint deck. In another case, a doctor input his patient’s name and their medical condition and asked ChatGPT to craft a letter to the patient’s insurance company.
there are really six “buckets” of team sizes. At each bucket, ICs + team leads need to operate a little differently in order to be successful within those teams.
A courageous leader also has a healthy appreciation for the fact that sticking your neck out carries the risk of being wrong or failing. Many CEOs and senior leaders are looking to promote managers who have failed and can show they have learned from the experience. They want leaders who take big swings and, if they stumble, figure out what went wrong.
But still, we’re all too prone to put up facades of invincibility and perfection, polishing resumes that show a smooth trajectory and consistent record of success.
When I began to practice accountability people relaxed around me. They were more vulnerable & open themselves. We cooperated more fully.
In trying to “protect” their teams, many managers become what the authors refer to as “umbrella managers”: well-intentioned leaders who want to protect their teams from all inclement organizational weather. But this type of leadership comes with a heavy price for the manager, the team, and the organization. Many individuals leading highly sophisticated teams for the first time need help to figure out the balance between supporting their teams and delegating effectively. The authors present several key mental shifts umbrella managers should make to move from protecting their employees to supporting them.
The experiment of entering the bank account failed multiple times, with Lloyds Bank’s system saying it could not authenticate the voice. After making some tweaks on ElevenLabs, such as having it read a longer body of text to make cadences sound more natural, the generated audio successfully bypassed the bank’s security.
Invite people who have a dog in the fight, no one else. Anyone who consistently leaves without a task should not be invited to the meeting.
For a long time, psychologists saw personality as fixed throughout our lives. This has since been disproven – although personality is relatively stable, it’s far from set in stone.
Some individuals are simply more stable in their personality profiles than others – suggesting this quality of stability can itself be a dispositional characteristic. That is, whereas you might be relatively steadfast in how you respond to questionnaire items assessing all of the Big Five traits (ie, your Big Five personality profile), thus showing heightened levels of personality stability, your best friend could reliably change more frequently in their scores, thus showing general levels of instability.
Women are usually responsible for most of the allyship activity that takes place in organisations. In fact, female leaders are twice as likely as male leaders to contribute considerable time to diversity and inclusion efforts. Yet, research shows that male allies can make a huge difference. When men raise concerns about gender inequalities, their concerns are viewed as particularly serious and legitimate, and they are given more credibility because they are not perceived as acting in their own self-interest. Seeing men enact allyship in a workplace generates ripple effects that empower both women and men to confront sexism.
Large portions of the White majority outside the South, however, unlike Whites in the South’s majority Black counties where the most violent resistance was met, could be convinced that racial segregation was unnecessary and even harmful, largely, because they lived in majority White cities, towns and neighborhoods and managed to control their Black minority population without recourse to “Whites only” signs, poll taxes and literacy tests. It was therefore possible, which isn’t to say easy, to convince them that the time had come for other people in another region to change their accustomed way of living.
When the movement turned to the work of convincing the rest of White America that its time had come to tear down a system of segregation and subjugation far more widespread, resilient and subtle than the Southern one, they resisted mightily and, for the most part, five decades of work have failed to overwhelm their resistance.
Men benefit from this inequality, and they have also largely created and reinforced it over many hundreds of years. So finding a solution to this problem is thoroughly the responsibility of men. Men must be front and centre in fixing this.
And so, aside from this small piece, I’ve decided that this year the men in our office will be writing our IWD editorial.
The topic will revolve around how men can step up to address the issue of gender equality. And they can present it to me when it only needs minor edits, taking just mere minutes of my precious time.
The women, on the other hand, can have a paid day off.