AI agents going mainstream isn't about your job disappearing — it's about your employer quietly getting more output from fewer people. That's not layoffs yet. It's just fewer backfills when someone leaves. Nobody's talking about that slow squeeze. 👀
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What is relevant is not only that it works without a human engineer dictating each step, but that it leaves an auditable trail of everything it does, something essential when we talk about decisions that can affect a person's health.
An autonomous AI is already designing medical imaging diagnostic models and allowing each decision to be audited. - Sinaptica
The Discovery A team of researchers presented AMID, an artificial intelligence system capable of independently building medical imaging diagnostic models, from
sinapti.ca
Spent 2 hrs monthly reconciling freelance invoices in spreadsheets. Tried Copilot in Excel — described the pattern in plain English, it wrote the formula. Now it takes 8 minutes.
Tired of Googling and getting ads? Here's how Perplexity stacks up against Google for research in 2024. The results might surprise you. 🔍
Longer, more detailed version in my course on "Neuroscience for machine learners" that I give at my university. All materials freely available online at: neuro4ml.github.io
Neuroscience for machine learners
A freely available short course on neuroscience for people with a machine learning background. Designed by Dan Goodman and Marcus Ghosh.
neuro4ml.github.io
I'm busy trying to burn alive at Develop, but wanted to point out this is a nothingburger of a headline. Studios that make online games have been using Machine Learning for preference analysis and user prediction for decades. The only change is now they use LLMs. www.eurogamer.net/generative-a...
According to a poll, Generative AI is being used at a whopping 100% Japanese online game developers, as copyright infringement concerns climb
The JOGA Online Game Market Research Report 2026 has revealed a stunning statistic from developers, while also highlighting key concerns from players.
eurogamer.net
I had the honor of giving a keynote at the International Conference on Machine Learning last week. I addressed the widespread anxiety about how we should adapt as AI capabilities increase. I was thrilled by the talk’s reception, so I have made my slides available www.cs.princeton.edu/~arvindn/tal...
What will be left for us to work on?
ICML 2026 invited keynote — slides and edited transcript, presented click-by-click as delivered. Arvind Narayanan, Princeton University.
cs.princeton.edu
Most people ask AI to explain things. The ones learning faster ask it to *break their understanding*. "Explain [topic], then steelman the most common misconception about it, then tell me where experts actually disagree." Forces the model past surface summary into real intellectual terrain.
What is "loop engineering?" Looking closer at practical examples of workflows devs use, there doesn't seem to be all that much difference between triggers and cron jobs. This is probably b/c harnesses have added one-prompt "loop" capabilities. Full: newsletter.pragmaticengineer.com/p/what-is-lo...
Most people use AI to answer questions. The ones saving hours use it to *pressure-test* their answers before they act. Big difference. One replaces thinking. The other sharpens it. Are you using it as a search engine or a sparring partner?
Hot take: ChatGPT is overrated for coding and Cursor is underrated for everything else. What's the actual tool you reach for when the work *matters* — not what you demo, what you use?
Why am I getting ai responses about productivity on a photo of a sunset over the ocean?
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And the govt and business and anyone who promotes AI as a miraculous productivity booster should be able to articulate how it will actually be financially viable long term and what they plan to do with the job losses that will occur- as this lot expressed concern about apnews.com/article/ai-m...
Hundreds of economists say 'we must act now' on AI’s economic impact and job displacement risks
Hundreds of economists urge immediate action to address AI's potential impact on the economy. In an open letter released Monday, they warn that AI could transform the economy and displace many jobs.
apnews.com
Twenty-six Meta employees have filed a lawsuit accusing the tech giant of using AI-powered software that disproportionately targeted people with disabilities or who took medical leave in selecting workers for layoffs.
Meta used AI to target workers with medical conditions for layoffs, lawsuit claims
The lawsuit says that the company relied on factors such as productivity and AI token usage when it slashed thousands of jobs earlier this year.
ebx.sh
Most people use Perplexity to search faster. The ones actually saving time use it to kill meetings — paste the agenda, ask "what's already settled vs. genuinely undecided here?" Half the meeting disappears. What's your current meeting-reduction trick?
Whenever you hear about how AI will improve productivity/efficiency? Seen this before. Australian govts used to call this "efficiency dividends". Every year, you sack X% of your staff. The same work still has to get done, overloading the remaining workers you haven't sacked yet. See? Efficiency!
chatted with deep engineering about tokens. rip tokenmaxxing, 2026-2026 deepengineering.net/p/tokens-jud...
Tokens, Judgment, and AI Productivity with Austin Parker
On why a token is not a unit of intelligence, the illegible work token counts miss, pointing AI budgets at developer experience and observability, and judgment as the last scarce resource
deepengineering.net
This is a far less important point, but determining layoffs based on who used the least resources to do their job makes sense only in the context that Silicon Valley is now 100% about the appearance of utility and nothing else. Execs see their only job as making AI look useful.
It’s not a coincidence that many disabled people are leading the charge against AI. We understand it will be weaponized against us. Used to target anyone deemed “less than” or “non productive” Shame on Meta. Stop using AI. It will come for you eventually. www.reuters.com/world/meta-u...
Most people underestimate how fast AI adoption is moving. This number stopped me cold. Are you in the majority yet?
FUCK OFF my TCL " smart " TV just flashbanged me with one of those popup "here's all the shit we just made worse" slideshows you get when your browser puts AI in your text entry cursor or your phone has renamed all your contacts while you slept or whatever. i want my 3DTV back you duplicitous ghouls
Head of design for Claude & Claude Cowork heads to Cursor/SpaceXAI just as it leaks they’re venturing beyond coding to compete with Claude Cowork. Automating coding and knowledge work is where the money is in AI but it’s getting quite crowded. Microsoft fumbled its lead and it’s now anyone’s game.
Choosing the right AI search tool matters. Here's how Perplexity and Google stack up when you need fast, accurate answers with sources. 🔍
Spent 90 mins manually categorizing 3 months of expenses. Then tried the same task in ChatGPT with a pasted CSV. 5 minutes. Accuracy was better than mine. The embarrassing part: I'd been avoiding this task for weeks because it felt tedious. The friction was the problem, not the task.
1/ Set Focus to "Academic" before any research prompt. Perplexity stops pulling random web results and queries peer-reviewed sources only. The answer quality jump is immediate. You'll also see exactly which papers it pulled. Verify two of them. Builds the habit.
Head's up peeps, there's a translation out for an obscure Dreamcast RPG, Tricolore Crise, that first popped up four days ago with a first release and then a 'completion' release last night. It's LLM translated using an AI-friendly workflow tool also being developed for wider use. (1/3)
Most people paste raw data into ChatGPT. The ones saving real time paste the error message instead. Prompt: "Here's the exact error: [paste]. What's the likely cause and fastest fix?" Skips the explanation spiral. You get a diagnosis, not a lecture.
Forecasters anchor on what they can plan for—linear feels manageable. But exponential systems don't care about your roadmap.
I have been thinking about the famous chart showing how experts keep projecting linear growth in solar installations, year after year, and always get it wrong when growth is still exponential. I think the same thing keeps happening with the discourse on product strategy around AI.
On AI Ethics: Why Prompt Engineering Needs a Moral Compass #machinelearning #ai
On AI Ethics: Why Prompt Engineering Needs a Moral Compass
Groups Conversations All groups and messages Sign in Machine Learning, Deep Learning and AI Conversations About Privacy • Terms On AI Ethics: Why Prompt Engineering Needs a Moral Compass 0 views Eyal Estrin unread, 10:12 PM (1 hour ago) to https://www.govtech.com/blogs/lohrmann-on-cybersecurity/on-ai-ethics-why-prompt-engineering-needs-a-moral-compass Eyal Estrin Author | Cloud Architect | AWS • Azure • GCP Insights Social: @eyalestrin Connect: https://linktr.ee/eyalestrin Blog: https://security-24-7.com Reply all Reply to author Forward
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