see Group Chat, Instant Messaging (more)

Mattermost is an open-source, self-hostable online live chat service with file sharing, search, and integrations. It is designed as an internal chat for organisations and companies, and mostly markets itself as an open-source alternative to Slack.com[9][10] and Microsoft Teams. https://en.wikipedia.org/wiki/Mattermost (more)

Live Chat service. HipChat was launched in 2010 and acquired by Atlassian in 2012. In September 2017, Atlassian replaced the cloud-based HipChat with a new cloud product called Stride, with HipChat continuing on as the client-hosted HipChat Data Center.[4] In July 2018, Atlassian announced a partnership with Slack.com under which Slack would acquire the codebase and related IP assets of HipChat and Stride from Atlassian.[5] Following this, HipChat and Stride customers were migrated to the Slack group collaboration platform in a transition that was completed by February 2019. http://en.wikipedia.org/wiki/HipChat

Twilio (IPO 2016), Slack.com (IPO 2019, acquired 2020), Asana (IPO 2020), and Atlassian (IPO 2015) all lose money? (more)

Collaborative Work Management software, CWM (more)

aka CollaborationWare, SoftwareForge (more)

see Thirty7Signals

design shop and WebApp builder/hoster (more)

want to build Random antilibrary/ToRead-Paragraph app (more)

Jason Crawford: Two mini-reviews: Seeing Like a State; the Unabomber manifesto. (more)

He received the Nobel Peace Prize in 1970, primarily for his work in reversing the food shortages that haunted India and Pakistan (Third World) in the 1960s... Borlaug helped to develop the high-yield, low-pesticide dwarf wheat upon which a substantial portion of the world's population now depends for sustenance. (Green Revolution) (more)

Uncertainty Project: Fielding Outcomes. When we make decisions in the face of uncertainty, we are making a “bet” on how the future will turn out. When the future arrives, we have a chance to take stock, to assess whether this outcome can teach us anything about how we make our decisions. (Thinking in Bets) (more)

Si Quan Ong: Thinking in Bets: Making Smarter Decisions When You Don’t Have All The Facts — Book Notes. Thinking in bets starts with recognizing that there are exactly two things that determine how our lives turn out: the quality of our decisions and luck. Learning to recognize the difference between the two is what thinking in bets is all about. (more)

the belief that, even if short-term outcomes stink, if you apply the right process consistently/carefully, you'll "win" in the end. (more)

Zvi Mowshowitz: AI #110: Of Course You Know... Yeah. That happened yesterday. This (Trump Tariffs) is real life. I know we have to ensure no one notices Gemini 2.5 Pro, but this is rediculous. That’s what I get for trying to go on vacation to Costa Rica, I suppose. I debated waiting for the market to open to learn more. But f** it, we ball.* (more)

Tacit knowledge or implicit knowledge is knowledge that is difficult to extract or articulate—as opposed to conceptualized, formalized, codified, or explicit knowledge—and is therefore more difficult to convey to others through verbalization or writing. Examples of this include individual wisdom, experience, insight, motor skill, and intuition.[1] An example of "explicit" information that can be recorded, conveyed, and understood by the recipient is the knowledge that London is in the United Kingdom. Speaking a language, riding a bicycle, kneading dough, playing an instrument, or designing and operating sophisticated machinery, on the other hand, all require a variety of knowledge that is difficult or impossible to transfer to other people and is not always known "explicitly," even by skilled practitioners. The concept of tacit knowing comes from scientist and philosopher Michael Polanyi. It is important to note that he wrote about a process (hence Tacit Knowing) and not a form of knowledge. However, his phrase has been taken up to name a form of knowledge that is apparently wholly or partly inexplicable...as opposed to formal, codified or explicit knowledge. http://en.wikipedia.org/wiki/Tacit_knowledge (more)

Common sense (from Latin sensus communis) is "knowledge, judgement, and taste which is more or less universal and which is held more or less without reflection or argument".[1] As such, it is often considered to represent the basic level of sound practical judgement or knowledge of basic facts that any adult human being ought to possess.[2] It is "common" in the sense of being shared by nearly all people... different shades of meaning have developed. In philosophical and scientific contexts, since the Age of Enlightenment the term "common sense" has been used for rhetorical effect both approvingly and disapprovingly. On the one hand it has been a standard for good taste, good sense, and source of scientific and logical axioms. On the other hand it has been equated to conventional wisdom, vulgar prejudice, and superstition. https://en.wikipedia.org/wiki/Common_sense

Aaron Swartz on "What are the optimal Cognitive Biases to overcome?" - ...it wasn’t lack of intelligence or resources or Will Power that kept Eliezer Yudkowsky from doing these things, “it was a gap in general rationality.” So if you’re interested in closing the gap, it seems like the skills to prioritize aren’t things like Commitment Effect and the Sunk Cost fallacy, but stuff like “figure out what your goals really are” (Goal Setting), “look at your situation objectively and list the biggest problems” (BottleNeck), “when you’re trying something new and risky, read the ForDummies book about it first”, etc. That’s the stuff I’m interested in writing about. (KnowHow? Common sense?) (more)

aka large language model... A language model is a probability distribution over sequences of words.[1] Given any sequence of words of length m, a language model assigns a probability... to the whole sequence. Several modelling approaches have been designed to surmount this problem, such as applying the Markov assumption or using neural architectures such as recurrent neural networks or transformers. https://en.wikipedia.org/wiki/Language_model (see GPT) (more)

Paul Boutin on DIY BioWar for Dummies. Experts used to think that distributing a killer germ would require a few vats and a crop duster. Brent and I have a different idea. We'll infect a suicidal patient zero and hand him a round-the-world plane ticket. But we need a dangerous virus - smallpox, maybe. We won't be able to steal a sample; we'll have to make our own... Enough raw material to build, say, the Small Pox genome would take just over $200,000. The real cost of villainy is in overhead. Even with the ready availability of equipment, you still need space, staff, and time. Brent guesses he would need a couple million dollars to whip up a batch of smallpox from scratch. No need for state sponsors or stolen top-secret germ samples... Three years ago, Eckard Wimmer headed a team of researchers at SUNY Stony Brook that made live Pol Io virus from scratch, part of a Defense Department project to prove the threat of synthetic bioweapons... Every hands-on gene hacker I polled during my project estimated they could synthesize smallpox in a month or two. I remember that game from my engineering days, so I mentally scale their estimates using the old software manager's formula: Double the length, then move up to the next increment of time. That gives us two to four years - assuming no one has already started working