Posts

Overuse 🫨

"AI isn’t saving companies money on labor; it’s actually costing them more than the humans they currently employ. "'For my team, the cost of compute is far beyond the costs of the employees,' Bryan Catanzaro, vice president of applied deep learning at Nvidia, recently told Axios. "An MIT study from 2024 backs up Catanzaro’s experience. Analyzing the technical requirements of AI models needed to perform jobs at a human level, researchers found that AI automation would be economically viable in only 23% of roles where vision is a primary part of the work. In the remaining 77% of the time, it was cheaper for humans to continue their work. "In other instances, AI has proved to be fallible, with one engineer saying an AI agent destroyed his database and network as a result of what he called overuse . "Despite no clear evidence of AI improving productivity and, according to the Yale Budget Lab, no widespread data to support the idea of AI displacing jobs, Big...

Octopi or octopodes?

"Cephalopods thriving in Earth’s oceans offer a profound, accessible encounter with a genuinely alien form of mind. "They challenge us to broaden our definitions, to appreciate cognitive diversity, and to recognize that the journey to understanding other minds might begin not by gazing at the stars, but by looking into the complex, adaptable, and utterly different intelligence inhabiting the waters of our own planet. cephalopods seem capable of recognizing individual humans.  "Captive octopi often react differently to different keepers, sometimes developing apparent likes and dislikes, expressed perhaps through playful interactions or targeted jets of water for disliked individuals. They show wariness towards strangers. "While attributing human-like personality is risky, the consistency of individual behavioral differences ('bold' vs. 'shy' octopi) and their targeted interactions suggests a level of individual recognition and potentially rudimentary ...

Goblin persona non grata

"OpenAI acquired OpenClaw in February not long after the tool became a viral hit among AI enthusiasts. "OpenClaw can use any AI model to automate useful tasks like answering emails or buying things on the web.  "Users can select any of various personae for their helper, which shapes its behavior and responses. "A model might become more prone to misbehavior when used with an agentic harness like OpenClaw that puts lots of additional instructions into prompts, such as facts stored in long-term memory. "In response to a post highlighting OpenClaw’s goblin tendencies, Nik Pash, who works on Codex, wrote, 'This is indeed one of the reasons.' "Even Sam Altman, OpenAI’s CEO, joined in with the memes, posting a screenshot of a prompt for ChatGPT. It read: 'Start training GPT-6, you can have the whole cluster. Extra goblins'."

How do musicologists compare and contrast 'night and day' with 'under my skin'

✨ AI Mode  Musicologists frequently compare "Night and Day" (1932) and "I've Got You Under My Skin" (1936) as twin pillars of Cole Porter's "obsession" songs. Both compositions break the standard 32-bar AABA pop formula of the 1930s, opting for expansive, unconventional structures to mirror their lyrical themes of relentless longing. 1, 2, 3, 4   ## Structural & Harmonic Comparison While both songs are famous for their length and complexity, they utilize different structural strategies: * Expanded Forms: "Night and Day" is noted for its unusual 48-bar chorus (often analyzed as ABABCB), where the verse consists of a haunting, single-note melody over shifting harmonies. "I've Got You Under My Skin" is even more irregular, often lacking a formal verse entirely and instead featuring a long, developing structure that some analysts categorize as a 56 or 64-bar form. * Harmonic Tension: Both use chromaticism to create a sense ...

Does stability born from control of info suborn change?

✨AI Mode  Stability achieved through the control of information often acts as a stagnation mechanism that suborns (secretly induces or facilitates) resistance to change by creating a rigid "status quo." While "stability" sounds positive, when it is strictly born from information control —such as suppressing data or controlling narratives —it typically produces several effects that hinder meaningful change: * Suppression of Feedback Loops: Systems require accurate feedback to adapt. By controlling information, a system "blinds" itself to internal failures or external shifts, preventing the natural evolution required for long-term survival. * The "Deviancy" Threshold: In controlled systems (like the "Software Instability" mechanic in Detroit: Become Human), stability is maintained by strictly following "code" or established rules. Change only occurs when information "instability" increases, allowing for "deviant...

Handwriting→Photo→Lens→AI Mode

Image
✨AI Mode  [please decipher: "new pen stasis us change Is stability the same as stasis? Is stability born from control of info to subovu chame? Is Entropy the enemy of stability? Is the idea of a static set ofive like the 10 commandments or Usage/grammar a solution to chais? or is it the base of entropy/change? pre-bigbang was stasis & non-exrepay Lawas like Physics laws are natural Do natural law's uphold entropy or Chsure aver stasis endurance against entropy immortality sevens centropy omnipresent us hidden Gunniscient versus secretive eternalus Firality"] It looks like your text is a mix of high-level philosophical shorthand and typos (likely from fast typing or autocorrect) that obscure some very deep questions about thermodynamics and social order. Here is the "deciphered" version of the core arguments you’re making: ## 1. The Core Conflict: Stasis vs. Change * " new pen stasis us change " → Likely: Newtonian stasis vs. change. You’re contrast...

Ground support 🍶

"Japan Airlines (JAL) will start using humanoid robots in ground handling tasks at Tokyo's Haneda airport from May, in a two-year trial it said is aimed at easing employees' workload. "For a start, the Chinese-made robots will be deployed to load and unload cargo containers, JAL and GMO AI & Robotics, its partner in the project, said in a demonstration to the media on Monday. "Japan's aviation industry is wrestling with a labour crunch brought on by an increase in inbound tourism and a declining working-age population, said JAL, which employs some 4,000 ground handling staff. "The carrier hopes that these robots can also be used to clean cabins and operate ground support equipment in future. "Robots are already being used in some airports across Japan, including for security patrol and retail."

Theoretical Economics

"If AI displaces human workers faster than the economy can reabsorb them, it risks eroding the very consumer demand firms depend on .  "We show that knowing this is not enough for firms to stop it. In a competitive task-based model, demand externalities trap rational firms in an automation arms race, displacing workers well beyond what is collectively optimal.  "The resulting loss harms both workers and firm owners. More competition and better  AI amplify the excess; wage adjustments and free entry cannot eliminate it. Neither can capital income taxes, worker equity participation, universal basic income, upskilling, or Coasian bargaining.  "Only a Pigouvian automation tax can.  "The results suggest that policy should address not only the aftermath of AI labor displacement but also the competitive incentives that drive it."  

Manus ✨

"China’s state planner on Monday called for Meta to unwind its $2 billion acquisition of Manus, a Singaporean artificial intelligence startup with Chinese roots. "The decision to prohibit foreign investment in Manus was made in accordance with laws and regulations, the National Development and Reform Commission said in a brief statement. It added that it has asked the parties involved to withdraw the acquisition transaction. "CNBC has contacted Meta for comment. Its stock was up slightly in morning trading. "The deal had attracted scrutiny from both China and Washington, as lawmakers in the U.S. have prohibited American investors from backing Chinese AI companies directly. Meanwhile, Beijing has increased efforts to discourage Chinese AI founders from moving business offshore."

Re-Vamp ✨

"OpenAI and Microsoft on Monday announced a revamped partnership agreement that will allow the artificial intelligence company to cap revenue share payments and serve customers across any cloud provider. "As part of the new agreement, the companies said revenue share payments from OpenAI to Microsoft will be subject to a total cap , but they will continue through 2030, independent of OpenAI’s technology progress .  "Microsoft no longer needs to determine its response if OpenAI finds that it has reached artificial general intelligence, or AGI, which is a term for an AI system that rivals or exceeds human intelligence. "The revenue share between the two companies has existed for years. OpenAI will pay Microsoft at the same percentage, which is 20%, as part of the new deal, according to a source familiar with agreement who asked not to be named because the details are confidential.  "That means, for example, Microsoft continues to get a cut of every ChatGPT subscr...

Infrastructural Science Fiction

"This isn’t science fiction built from characters moving through imagined futures. It’s science fiction built from the language systems already shaping those futures. "The flat tone, the procedural cadence, the absence of voice —those aren’t bugs. They’re the subject. "This is not AI mimicking the text of human writers. It is taking on the function that until now had belonged exclusively to human writers. AI has become a writer that can function in the same way as our best wrtiers (sic) —as a perceptual instrument. "Look again at the example . What is happening? AI is detecting and rendering: Reassurance language ('everything is normal') Post-event normalization ('no action required') Conditional permission structures ('access granted under…') Semantic drift ( unchanged  meaning something slightly different every time) "AI is writing about the background radiation of modern life. This is carrying semantic and emotional weight —enough to ...

In the beginning 🤔

"Machine code, with its absence of almost any form of redundancy, was soon identified as a needlessly risky interface between man and machine .  "Partly in response to this recognition so-called high-level programming languages  were developed, and, as time went by, we learned to a certain extent how to enhance the protection against silly mistakes.  "It was a significant improvement that now many a silly mistake did result in an error message instead of in an erroneous answer. (And even this improvement wasn't universally appreciated: some people found error messages they couldn't ignore more annoying than wrong results, and, when judging the relative merits of programming languages, some still seem to equate the ease of programming  with the ease of making undetected mistakes.)  "The (abstract) machine corresponding to a programming language remained, however, a faithful slave, i.e. the nonsensible automaton perfectly capable of carrying out nonsensical in...

Information-Exploration Paradox

"The AI industry is largely failing to ask a key design question, argues theoretical neuroscientist/cognitive scientist Vivienne Ming. Are their AI products building human capacity or consuming it? "The human qualities most likely to matter are not the feel-good ones. They're the uncomfortable ones:  The capacity to be wrong in public and stay curious; To sit with a question your phone could answer in three seconds and resist the urge to reach for it.  To read a confident, fluent response from an AI and ask yourself, What's missing ? rather than default to Great, that's done .  To disagree with something that sounds authoritative and to trust your instinct enough to follow it.  "We don't build these capacities by avoiding discomfort. We build them by choosing it, repeatedly, in small ways:  The student who struggles through a problem before checking the answer;  The person who asks a follow-up question in a conversation;  The reader who sits with a dif...

Quiet failure

"In late-stage testing of a distributed AI platform, engineers sometimes encounter a perplexing situation: Every monitoring dashboard reads healthy , yet users report that the system’s decisions are slowly becoming wrong. "Engineers are trained to recognize failure in familiar ways: a service crashes, a sensor stops responding, a constraint violation triggers a shutdown. Something breaks, and the system tells you. But a growing class of software failures looks very different.  " The system keeps running, logs appear normal, and monitoring dashboards stay green. Yet the system’s behavior quietly drifts away from what it was designed to do. "This pattern is becoming more common as autonomy spreads across software systems. Quiet failure is emerging as one of the defining engineering challenges of autonomous systems because correctness now depends on coordination, timing, and feedback across entire systems."

More meta job cuts 🫥

"Meta will cut thousands of jobs next month as it spends more than ever on artificial intelligence (AI) projects. "The company told employees in a memo on Thursday that it plans to cut 10% of its workforce —roughly 8,000 staff. It said it will also not fill thousands more open jobs it had been hiring for. "A key reason for the layoffs is Meta's increased spending in other areas of the company, including AI, for which it will this year spend $135bn (£100bn). This is roughly equal to the amount it has spent on AI in the previous three years combined, according to a person who viewed the memo. "A spokesman for Meta confirmed the planned job cuts but declined to comment further."

Language abilities

"Language is a defining feature of our species, yet the genomic changes enabling it remain poorly understood. "Despite decades of work since FOXP2’s discovery, we still lack a clear picture of which regions shaped language evolution and how variation contributes to present-day phenotypic differences.  "Using an evolutionary stratified polygenic score approach, we find that human ancestor quickly evolved regions (HAQERs) are associated with spoken language abilities (discovery N = 350, total replication N > 100,000). HAQERs evolved before the human-Neanderthal split, giving hominins increased binding of Forkhead and Homeobox transcription factors, and show evidence of balancing selection across the past 20,000 years.  "Language-associated variants in HAQERs appear more prevalent in Neanderthals, and HAQER-like sequences show convergent evolution across vocal-learning mammals. Our results reveal how ancient innovations continue shaping human language."

Stephen's Guide to the Logical Fallacies

"In your day-to-day life you will encounter many examples of fallacious reasoning. And it's fun - and sometimes even useful - to point to an argument and say, 'A ha! That argument commits the fallacy of false dilemma.' "It may be fun, but it is not very useful. Nor is it very enlightened. "The names of the fallacies are for identification purposes only. They are not supposed to be flung around like argumentative broadswords. It is not sufficient to state that an opponent has committed such-and-such a fallacy. And it is not very polite. "This Guide is intended to help you in your own thinking, not to help you demolish someone else's argument. When you are establishing your own ideas and beliefs, evaluate them in the light of the fallacies described here. "When evaluating the ideas and arguments proposed to you by others, keep in mind that you need to prove that the others' reasoning is fallacious. That is why there is a proof  section in the ...

Perceiving and imagining seem linked

"Mental imagery allows us to remember previous experiences and imagine new ones.  "Animal studies have yielded rich insight into mechanisms for visual perception, but the neural mechanisms for visual imagery remain poorly understood.  "We determined that approximately 80% of visually responsive single neurons in the human ventral temporal cortex (VTC) use a distributed axis code to represent objects.  "We used that code to reconstruct objects and generate maximally effective synthetic stimuli.  "We then recorded responses from the same neural population while subjects imagined specific objects; about 40% of axis-tuned VTC neurons recapitulated the visual code.  "Our findings reveal that visual imagery is supported by reactivation of the same neurons involved in perception, providing single-neuron evidence for the existence of a generative model in human VTC."

Neocloud for AI Inference

"Antimatter is capitalizing on significant investment to develop its first global network of neoclouds, with an initial funding of €300 million dedicated to the deployment of its first 100 Policloud units by 2027.   "These units are expected to utilize 40,000 GPUs, providing a staggering 3.6 exaFLOPS of compute power. By 2030, the planned network is aimed to amass over 400,000 GPUs, equating to 36 exaFLOPS —comparable to five traditional hyperscale data centers. "The company’s footprint will span multiple countries, with each Policloud unit constructed to be modular and easily deployable in less than five months, a far cry from the typical 24-month build time seen in standard facilities. This architecture allows Antimatter to respond swiftly to market demands while maintaining a lower overhead."

Bitcoin: Killing Satoshi

"A $70 million movie about the mysterious creator of Bitcoin quietly wrapped principal photography in London last month in a gray box that could have passed for a storage facility. "On the surface, it’s a pretty standard feature —Doug Liman directing a cast that includes Gal Gadot, Pete Davidson, Casey Affleck and Isla Fisher in a globe-trotting thriller about the search for the identity of the person who invented the decentralized cryptocurrency. "Except for one thing: 'Bitcoin: Killing Satoshi' is described as the first fully-generated, studio-quality AI feature film. "Acme AI & FX —founded by Ryan and Matt Kavanaugh, Garrett Grant and Lawrence Grey —produced the independent feature, which was shot entirely on a custom-built soundstage over 20 days, using AI to make what would have traditionally cost $300 million on a much more manageable budget, according to the film’s producers."