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Inno Morolong in trouble with the law yet again, after mocking blesser's disability

Inno-Gene

innogene

This year’s heat waves across Europe have mercilessly reminded us that the Earth is becoming a much warmer place than our ancestors would remember it. We are long past the pre-industrial temperature levels: since the beginning of the XX century, the temperatures have gone up about 1.1°C – just a little bit short of the critical figures that would make our planet literally unlivable in the near future. In 2015, 193 countries signed the well-known in their commitment to pursue limiting the global temperature rise to 1.5°C by limiting greenhouse emissions. The document was expected to set the pathway for limiting carbon dioxide emissions by 45% by 2030, eventually reaching net zero by 2050. Paris Agreement Seven years later, these goals remain a miraculous milestone that seems almost impossible to achieve. Last year’s CO2 emissions hit the , and the figures continue to rise. historical maximum of 2 billion tonnes Is There a Way Out? While the governments struggle to align the national climate plans with the net-zero agenda, it’s the world of tech that might give us hope for a better future. Innovators from across the world are continuously bringing in new ideas for making our activities more sustainable and greener. Luckily for them, more and more investors are acknowledging the importance of these ideas and backing them financially. In 2021, Climate Tech projects have secured , exceeding $60Bn in total. 210% more in funding than the year before While some of this funding has gone to the companies that have already been in the sector for a while, it is always inspiring to see new players securing considerable rounds in the first couple of years of existence. Climate Tech projects often require quite a few years of research, testing, and legislation to finally demonstrate a feasible proof of concept. However, some founders manage to overcome these barriers in a remarkably short amount of time. Let’s take a look at some of the most promising Climate Tech startups under three years old that have really managed to impress the public (and especially investors) with their innovations: hopefully, these companies will make our perspectives look brighter in the near future. Top-5 Startups to Keep an Eye On in 2022 1Komma5 Germany Country: 2021 Founding year: $217.5M Funding to date: Having that 1.5°C temperature limit goal embedded in its name, this German startup claims to transform 1.5 million buildings across Europe with carbon-neutral technology. Their solar panels, heat pumps, energy storage systems, and intelligent charging stations are expected to make a net-zero lifestyle more accessible to everyone, thus significantly reducing our individual carbon imprint. The company was co-founded by an ex-Tesla country director Philipp Schröder, which might be one of the reasons for its successful funding round despite fierce competition in the sector. Volta Trucks Sweden Country: 2019 Founding year: $329M Funding to date: No matter how much we advocate for replacing old-fashioned cars with their electric analogs or even bicycles, none of that solves the problem of logistical deliveries. Designing electric trucks for freight distribution within the cities (at least to start with!) is the challenge this Swedish startup has promised to solve. Their first 16-tonne commercial vehicle Volta Zero was launched in September 2020, featuring electric 160-200 kWh batteries sufficient for a 200km drive. More trucks with a wider size range (7.5-, 12- and 18-tonne) are expected to be manufactured and largely distributed by 2023. Verkor France Country: 2020 Founding year: $120M Funding to date: The growing number of electric vehicles is inevitably generating a dire need for more electric batteries. That’s the problem this Grenoble-based startup is determined to solve by amplifying low-carbon battery cell production. Backed by EIT InnoEnergy, Schneider Electric, and the IDEC Group, the company is soon due to start building its first Gigafactory in Dunkirk, France with an aim to deliver its first batch of batteries by 2025. Verkor is currently focused on manufacturing two types of battery cells for electric vehicles and large‑scale stationary storage markets. Newcleo UK Country: 2019 Founding year: $433.5M Funding to date: Safer nuclear energy – is it even possible? That’s something we will find out very soon, as this British startup has just closed a €300M round for building its first sites in the UK and France. The company will use the capital to manufacture sustainable reactors and safe nuclear fuel – including the so-called MOX, a mix of plutonium and uranium dumped from old-fashioned nuclear plants. Should Newcleo deliver its promises, much of the depleted nuclear waste will no longer be polluting the environmental sites? Instead, it will be safely recycled for producing clean energy that will help us shift further away from fossil fuels. Verdox USA Country: 2019 Founding year: $100.3M Funding to date: While some projects focus on reducing the current amount of CO2 emissions, others think backward: how do we take out what’s already been released into the atmosphere? This MIT-originated startup may have an answer to this question. Verdox seems to propose one of the most viable technologies to capture carbon dioxide from the air. Unlike other companies addressing carbon removal challenges, Verdox is putting forward a cost-effective, scalable method based on an electrochemical approach that requires significantly less energy for functioning. Also published . here

5 Emerging Climate Tech Startups to Watch in 2022 and Beyond

AN INNOCENT CULPRIT.

Cyrus Harding and his companions slept like innocent marmots

Cyrus Harding and his companions slept like innocent marmots in the cave

Innocent at Large

Innocent at Large by Karen Anderson and Poul Anderson, is part of the HackerNoon Books Series. Read this book online for free on HackerNoon! : Innocent at Large Title : Karen Anderson Author : Poul Anderson Author : Wallace Wood Illustrator : April 3, 2016 [EBook #51650] Release Date : English Language Table of Links Innocent at Large About HackerNoon Book Series: We bring you the most important technical, scientific, and insightful public domain books. This book is part of the public domain. Karen Anderson and Poul Anderson (2016). Innocent at Large. Urbana, Illinois: Project Gutenberg. Retrieved October 2022 https://www.gutenberg.org/cache/epub/51650/pg51650-images.html This eBook is for the use of anyone anywhere at no cost and with almost no restrictions whatsoever. You may copy it, give it away or re-use it under the terms of the Project Gutenberg License included with this eBook or online at www.gutenberg.org , located at https://www.gutenberg.org/policy/license.html .

Innocent at Large by Poul Anderson - Table of Links

We Analyzed 20.2 Million CI Jobs In Trunk Flaky Tests: Here's What We Learned - Part 1

Have you ever watched a movie on YouTube? Oh, yes you have! If you’re lucky and stubborn enough, you can stumble upon one that’s so old and well-known that everybody stopped caring about it. I mean when it comes to copyrights and stuff. Did you know that “Conan The Barbarian” is a big deal in GREECE? It’s not because of Arnold Schwarzenegger but Basil Poledouris. It’s not because of the movie itself but the timeless soundtrack. So, if you want to have royal treatment with the locals while spending a summer in Greece, try wearing a T-shirt with a Conan movie poster instead of “This Is Sparta” (no disrespect to Gerard Butler), and listening to Prologue/Anvil of Crom all day long, so everyone around can hear it. Wait and see what happens. There’s “Conan The Barbarian” with Greek subtitles available on YouTube at any given moment, but that’s not what I’m writing about. Give It To Me, YouTube Baby I’m talking about the entire collections of Marvel Avengers and DCU movies in the best resolution imaginable free to watch on YouTube. If you aren’t impressed enough, then how about Venom 3: The Last Dance, Deadpool 3, or Dune 2, just off the top of my head? There’s an invasion of YouTube channels with movies you couldn’t believe are available for free in top-resolution quality. There’s a catch, though. You won’t know what you’re about to watch until you start watching. All videos have identical “cryptic” descriptions: “BLOCKBUSTER Movie 2024.” It’s like playing Russian roulette but in a good and enjoyable way. Also, I’m just guessing because I’m not a YouTube expert, all these channels have a handful of initial “innocent” videos of ordinary people doing this and that. You know, let’s make something to set the wheels in motion on YouTube, and then we’re going to throw in the big Hollywood guns. These channels come and go as YouTube takes them down. Again, I’m just guessing, before their “disrespectful” owners and creators get the chance to grab a piece of the YouTube monetization pie. How’s that even possible? My Conspiracy Theory Let me put on my tinfoil hat, and let’s roll the tape of conspiracy theories. Shall we? First things first, I find that the timing of this “phenomenon” is very interesting. Right after the US elections. Then, there’s Joe Rogan complaining that YouTube is “censoring” his interview with Trump. At the same time, X has become a comfy nest for a flock of OnlyFans accounts. I ain’t complaining, following back, or consuming the “content;” I’m just observing this “phenomenon” for research purposes. I don’t know what to make of all these recent shenanigans. I forgot to mention that YouTube ads are in the business-as-usual mode all this time. I read that elephants are one of the most vengeful creatures in the animal kingdom. Perhaps that’s the reason why YouTube is being trampled. And maybe, the donkeys can’t make peace with the fact that Elon X-ed the beloved Larry the Bird. I know how crazy it sounds, but we’re living in interesting times, aren’t we? That’s all HackerNoon folks. I’m about to watch Dungeons & Dragons: Honor Among Thieves. Wow, you can’t make this stuff up. What an appropriate movie to end my story. I don’t know how long it’s going to last, but I’m having a blast. Have you ever watched a movie on YouTube? Oh, yes you have! If you’re lucky and stubborn enough, you can stumble upon one that’s so old and well-known that everybody stopped caring about it. I mean when it comes to copyrights and stuff. Did you know that “Conan The Barbarian” is a big deal in GREECE? It’s not because of Arnold Schwarzenegger but Basil Poledouris . It’s not because of the movie itself but the timeless soundtrack. Basil Poledouris So, if you want to have royal treatment with the locals while spending a summer in Greece, try wearing a T-shirt with a Conan movie poster instead of “This Is Sparta” (no disrespect to Gerard Butler), and listening to Prologue /Anvil of Crom all day long, so everyone around can hear it. Wait and see what happens. Prologue There’s “Conan The Barbarian” with Greek subtitles available on YouTube at any given moment, but that’s not what I’m writing about. Give It To Me, YouTube Baby I’m talking about the entire collections of Marvel Avengers and DCU movies in the best resolution imaginable free to watch on YouTube. If you aren’t impressed enough, then how about Venom 3: The Last Dance, Deadpool 3, or Dune 2, just off the top of my head? There’s an invasion of YouTube channels with movies you couldn’t believe are available for free in top-resolution quality. There’s a catch, though. You won’t know what you’re about to watch until you start watching. All videos have identical “cryptic” descriptions: “BLOCKBUSTER Movie 2024.” It’s like playing Russian roulette but in a good and enjoyable way. Also, I’m just guessing because I’m not a YouTube expert, all these channels have a handful of initial “innocent” videos of ordinary people doing this and that. You know, let’s make something to set the wheels in motion on YouTube, and then we’re going to throw in the big Hollywood guns. These channels come and go as YouTube takes them down. Again, I’m just guessing, before their “disrespectful” owners and creators get the chance to grab a piece of the YouTube monetization pie. How’s that even possible? My Conspiracy Theory Let me put on my tinfoil hat, and let’s roll the tape of conspiracy theories. Shall we? First things first, I find that the timing of this “phenomenon” is very interesting. Right after the US elections. Then, there’s Joe Rogan complaining that YouTube is “censoring” his interview with Trump . Joe Rogan complaining that YouTube is “censoring” his interview with Trump At the same time, X has become a comfy nest for a flock of OnlyFans accounts. I ain’t complaining, following back, or consuming the “content;” I’m just observing this “phenomenon” for research purposes. I don’t know what to make of all these recent shenanigans. I forgot to mention that YouTube ads are in the business-as-usual mode all this time. I read that elephants are one of the most vengeful creatures in the animal kingdom. Perhaps that’s the reason why YouTube is being trampled. And maybe, the donkeys can’t make peace with the fact that Elon X-ed the beloved Larry the Bird. elephants are one of the most vengeful creatures I know how crazy it sounds, but we’re living in interesting times, aren’t we? That’s all HackerNoon folks. I’m about to watch Dungeons & Dragons: Honor Among Thieves. Wow, you can’t make this stuff up. What an appropriate movie to end my story. I don’t know how long it’s going to last, but I’m having a blast.

What's With All These FREE HD Blockbuster Movies on YouTube?

Roll-ups: Here's Why It's The Ultimate Solution To The Blockchain Scalability Issue 

Authors:
(1) Shih-Tang Su, University of Michigan, Ann Arbor (shihtang@umich.edu);
(2) Vijay G. Subramanian, University of Michigan, Ann Arbor and (vgsubram@umich.edu);
(3) Grant Schoenebeck, University of Michigan, Ann Arbor (schoeneb@umich.edu). Table of Links Abstract and 1. Introduction 2. Problem Formulation 2.1 Model of Binary-Outcome Experiments in Two-Phase Trials 3 Binary-outcome Experiments in Two-phase Trials and 3.1 Experiments with screenings 3.2 Assumptions and induced strategies 3.3 Constraints given by phase-II experiments 3.4 Persuasion ratio and the optimal signaling structure 3.5 Comparison with classical Bayesian persuasion strategies 4 Binary-outcome Experiments in Multi-phase trials and 4.1 Model of binary-outcome experiments in multi-phase trials 4.2 Determined versus sender-designed experiments 4.3 Multi-phase model and classical Bayesian persuasion and References 3 Binary-outcome Experiments in Two-phase Trials In this section the sender’s optimization problem presented in (2) Section 2.1, is solved starting with the simplest non-trivial case. There are only two phases in the trial studied here, and from this we will develop more insight into how different types of experiments (determined versus sender-designed) influence the optimal signaling strategy of the sender. To be more specific, we will analyze how two determined experiments (in phase II) and one sender-designed experiment (in phase I) will impact the sender’s optimal signaling strategy. Before we present the general case, we discuss a subset class of two-phase trials that are similar to single-phase trials. In this class of two-phase trials, in one of the phase-II experiments, called a trivial experiment, the outcome distribution is independent of the true state. Trivial experiments [2], also called (Blackwell) non-informative experiments in some literature, are frequently used as benchmarks to compare the agents’ expected utility change under different signaling schemes/mechanisms, e.g., [22,20,21]. This two-phase model with a trivial experiment tries to capture real-world problems with one actual (and costly) experiment, e.g., clinical trials, venture capital investments, or space missions. Since the experiment is costly, a screening procedure is provided to decide whether it is worth conducting the experiment. We will then analyze the optimal signaling strategy in the general scenario, where both experiments in phase II are non-trivial. 3.1 Experiments with screenings We start by analyzing the sender’s optimal strategy (signaling structure) in a simple scenario where there is one non-trivial experiment conducted in phase II. The sender’s authority on choosing the probability pair (p1, p2) controls the screening process. To avoid any ambiguity, we first define what a trivial experiment is. When a trivial experiment (in phase II) is conducted, the posterior belief of the state stays the same as the interim belief derived in (1). When there exists a trivial experiment in the two phase-II trial options, then Lemma 1 states that the sender and the receiver’s expected utility under the optimal signaling strategy is the same as in the (single-phase) classical Bayesian persuasion problem. Lemma 1. When the state space is binary, both sender and receiver’s expected utilities are the same in the following two Bayesian persuasion schemes under each scheme’s optimal signaling strategy: Bayesian persuasion in a single-phase trial,


Bayesian persuasion in a two-phase trial with a sender-designed phase-I experiment and a trivial experiment in phase II. In the single-trial classical Bayesian persuasion setting, the optimal signaling strategy only mixes the two possible states in one outcome (e.g., when the prosecutor claims the suspect is guilty). On the other outcome, the sender reveals the true state with probability one (e.g., when the prosecutor says the suspect is innocent). When there is a trivial experiment in phase II, the other experiment (supposing that it will be conducted at outcome ωB) will be rendered defunct by the sender’s choice of experiments in phase I. This phenomenon occurs because the sender can always choose to reveal the true state when the non-trivial experiment is to be conducted, i.e., by setting P(θ1|EB) = 1 or P(θ2|EB) = 1; and the classical Bayesian persuasion strategy can be replicated. In essence, having a trivial experiment in the phase-II trial does not constrain the sender. This paper is available on arxiv under CC 4.0 license. Authors: (1) Shih-Tang Su, University of Michigan, Ann Arbor (shihtang@umich.edu); (2) Vijay G. Subramanian, University of Michigan, Ann Arbor and (vgsubram@umich.edu); (3) Grant Schoenebeck, University of Michigan, Ann Arbor (schoeneb@umich.edu). Authors: Authors: (1) Shih-Tang Su, University of Michigan, Ann Arbor (shihtang@umich.edu); (2) Vijay G. Subramanian, University of Michigan, Ann Arbor and (vgsubram@umich.edu); (3) Grant Schoenebeck, University of Michigan, Ann Arbor (schoeneb@umich.edu). Table of Links Abstract and 1. Introduction Abstract and 1. Introduction 2. Problem Formulation 2. Problem Formulation 2.1 Model of Binary-Outcome Experiments in Two-Phase Trials 2.1 Model of Binary-Outcome Experiments in Two-Phase Trials 3 Binary-outcome Experiments in Two-phase Trials and 3.1 Experiments with screenings 3 Binary-outcome Experiments in Two-phase Trials and 3.1 Experiments with screenings 3.2 Assumptions and induced strategies 3.2 Assumptions and induced strategies 3.3 Constraints given by phase-II experiments 3.3 Constraints given by phase-II experiments 3.4 Persuasion ratio and the optimal signaling structure 3.4 Persuasion ratio and the optimal signaling structure 3.5 Comparison with classical Bayesian persuasion strategies 3.5 Comparison with classical Bayesian persuasion strategies 4 Binary-outcome Experiments in Multi-phase trials and 4.1 Model of binary-outcome experiments in multi-phase trials 4 Binary-outcome Experiments in Multi-phase trials and 4.1 Model of binary-outcome experiments in multi-phase trials 4.2 Determined versus sender-designed experiments 4.2 Determined versus sender-designed experiments 4.3 Multi-phase model and classical Bayesian persuasion and References 4.3 Multi-phase model and classical Bayesian persuasion and References 3 Binary-outcome Experiments in Two-phase Trials In this section the sender’s optimization problem presented in (2) Section 2.1, is solved starting with the simplest non-trivial case. There are only two phases in the trial studied here, and from this we will develop more insight into how different types of experiments (determined versus sender-designed) influence the optimal signaling strategy of the sender. To be more specific, we will analyze how two determined experiments (in phase II) and one sender-designed experiment (in phase I) will impact the sender’s optimal signaling strategy. Before we present the general case, we discuss a subset class of two-phase trials that are similar to single-phase trials. In this class of two-phase trials, in one of the phase-II experiments, called a trivial experiment, the outcome distribution is independent of the true state. Trivial experiments [2], also called (Blackwell) non-informative experiments in some literature, are frequently used as benchmarks to compare the agents’ expected utility change under different signaling schemes/mechanisms, e.g., [22,20,21]. This two-phase model with a trivial experiment tries to capture real-world problems with one actual (and costly) experiment, e.g., clinical trials, venture capital investments, or space missions. Since the experiment is costly, a screening procedure is provided to decide whether it is worth conducting the experiment. We will then analyze the optimal signaling strategy in the general scenario, where both experiments in phase II are non-trivial. 3.1 Experiments with screenings We start by analyzing the sender’s optimal strategy (signaling structure) in a simple scenario where there is one non-trivial experiment conducted in phase II. The sender’s authority on choosing the probability pair (p1, p2) controls the screening process. To avoid any ambiguity, we first define what a trivial experiment is. When a trivial experiment (in phase II) is conducted, the posterior belief of the state stays the same as the interim belief derived in (1). When there exists a trivial experiment in the two phase-II trial options, then Lemma 1 states that the sender and the receiver’s expected utility under the optimal signaling strategy is the same as in the (single-phase) classical Bayesian persuasion problem. Lemma 1. When the state space is binary, both sender and receiver’s expected utilities are the same in the following two Bayesian persuasion schemes under each scheme’s optimal signaling strategy: Lemma 1. When the state space is binary, both sender and receiver’s expected utilities are the same in the following two Bayesian persuasion schemes under each scheme’s optimal signaling strategy: Bayesian persuasion in a single-phase trial, Bayesian persuasion in a two-phase trial with a sender-designed phase-I experiment and a trivial experiment in phase II. Bayesian persuasion in a single-phase trial, Bayesian persuasion in a single-phase trial, Bayesian persuasion in a single-phase trial, Bayesian persuasion in a two-phase trial with a sender-designed phase-I experiment and a trivial experiment in phase II. Bayesian persuasion in a two-phase trial with a sender-designed phase-I experiment and a trivial experiment in phase II. Bayesian persuasion in a two-phase trial with a sender-designed phase-I experiment and a trivial experiment in phase II. In the single-trial classical Bayesian persuasion setting, the optimal signaling strategy only mixes the two possible states in one outcome (e.g., when the prosecutor claims the suspect is guilty). On the other outcome, the sender reveals the true state with probability one (e.g., when the prosecutor says the suspect is innocent). When there is a trivial experiment in phase II, the other experiment (supposing that it will be conducted at outcome ωB) will be rendered defunct by the sender’s choice of experiments in phase I. This phenomenon occurs because the sender can always choose to reveal the true state when the non-trivial experiment is to be conducted, i.e., by setting P(θ1|EB) = 1 or P(θ2|EB) = 1; and the classical Bayesian persuasion strategy can be replicated. In essence, having a trivial experiment in the phase-II trial does not constrain the sender. This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

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