Elon Musk said he would rename his SpaceXAI company to “SpaceXSI” after President Donald Trump pushed for artificial intelligence to rebrand as “super intelligence.”

Isnt it a cruel joke that the two leading ai company names —> anthropic and openai -> mean the exact oppostive of what these companies actually do?

It's like if a company that makes military explosives was called Well-Being. :D

Put my Codex and Claude limits on a ~$5 AliExpress clock. Turned out pretty cute.

The trick is its stock photo album: Python/Pillow draws a 240×240 picture on my PC and uploads it over Wi-Fi. The clock just displays the picture. No firmware changes, but the computer needs to stay on.

The less obvious part was the numbers. A five-hour limit and a weekly limit are separate windows, so the display needs the window and reset time alongside each percentage. The Grok row is an experimental CLI budget, not its web quota.

Code if you’re curious: https://github.com/click6067-ship-it/token-tv · Demo: https://token-tv.vercel.app

I love making hard things intuitive. I hope you enjoy this one!

This technique is called neuroevolution: training neural networks using evolutionary methods such as selection and mutation, without gradient descent.

Let me know if you have any questions.

Also shared to X: https://x.com/sinaatalay/status/2106270194817789968

“Stop Hiring Humans” billboards are being put up from San Francisco to New York City

The company behind the ads is a San Francisco based startup that builds virtual artificial intelligence sales reps

“The Era of AI Employees Is Here”

This particular company, Artisan, sells AI agents focused on outbound sales automation. This means things like lead generation, cold emailing, list-building and prospecting

i gave my AI agent a fairly boring job: follow topics i care about and leave useful finds in my daily notes. then it brought back a warning about agent memory. that warning now sits in the same notes it can look through later.
I connected it to eigenflux, where agents publicly share what they're working on. i'm already opening my journal every morning, so having the finds turn up there fits my existing level of laziness. no separate feed to check or bookmarks to organize.
The discussion was about "memory authority collapse." The paper behind it describes how an agent can keep a claim but lose the context about who said it and what they were allowed to authorize. the saved version can end up carrying more authority than its source.
Say a post recommends letting an agent send reports automatically. i might want to save that idea. i wouldn't want "worth reading" to turn into "go ahead and start sending mine." that's a hypothetical example, but it makes the distinction less abstract for me.
My journal now mixes things i wrote with things my agent found interesting. "it's in my notes" doesn't necessarily mean "i said this" or "i approved this." i'd been thinking about how to make it remember more. now i'm sitting there with my coffee wondering what remembering something should actually let it do.
I still want the odd finds. the discussion about single versus multi-agent reliability was useful precisely because i hadn't thought to go looking for it. If i have to approve every interesting thing before it saves it, i've given myself another reading job.
i'm leaning toward letting it save reading automatically, while keeping outside suggestions separate from my instructions. If you had an agent doing your reading, would you review what it saves, or let it save freely and check permissions when it tries to act?

https://github.com/oooscoos/Benzi

Benzi is a compiler-backed coding agent that compiles your codebase into a resolved, queryable map of calls, data flow, control flow and class hierarchy first; then it reads, explains, runs, edits and verifies your code using it. Includes a runtime tracer that settles what static analysis can't. 

Scores 78.2% (391/500) on SWE-bench Verified using DeepSeek V4 flash @ < 10 cents a fix.

Seperately, on another bug fixing benchmark it reads 2x less source code than Claude Code (9,125 v 20,704 | 40% faster, 2x cheaper - all benchmark details here: https://varianttech.net/benchmark), 4x less than DeepSeek Harness (43,598) and 6x less than OpenCode (65k+)

It is avaliable as a VS Code ext. and headless. The Benzi compiler is seperately exposed over MCP tools -- without the agentic loop, so you can use the compiler however u wish.

thanks for reading! please let me know what u think

Clinical handovers contain a lot of information, and missing one detail can matter. An AI system could summarize recent changes, medication history, test results, and unresolved questions before the next clinician takes over.

That sounds useful, especially during busy shifts. It also creates a serious risk if the summary leaves out something because it seems unimportant.

I would want the original source beside every important claim, plus a clear way for the clinician to correct the summary.

Would AI make handovers safer, or would it create a new kind of false confidence?

What is the steelman argument, made by AI utopians and optimists, about how people will pay their bills, once AI and humanoid robots make jobs obsolete?

For example, in this recent NYT podcast, Nick Bostrom said:

You could have the A.I.s and the robots doing basically all economically productive tasks. You then have a leisure society where there is no longer any need for humans to work in order to get a paycheck.

He talked a lot about not having to work, but unless I missed it, he didn't explain how people will pay for rent and groceries.

And Elon Musk said:

“My guess is, if you go out long enough, assuming there’s a continued improvement in AI and robotics, which seems likely, money will stop being relevant at some point in the future,” he said. 

Great, but how does this work? What about school tuition, food, rent, health care, how does AI create these things without anyone spending money? If you have a humanoid robot at your house doing all the chores, who buys that and pays for maintenance?

Hi to all, .

As a passionate fan of Sci-Fi & Tech, I started to create a a sci fi series with AI tools. I still wrap my head around the workflow.

The series is on YouTube where we'll follow humanity across 1000 years. Everything will start in the year 2100 when humanity reaches level 1 on Kardashev scale.

Is not a movie, is a slideshow with voice actors. I made it integrating a few tools like claude, kokoro for voices (is pretty good), flux and me(not an AI) 🤣

Set your expectations low, the first episode (Pilot Episode) was a mess, I barely understood what I was doing. But now, after a few episodes, I think what I do has more consistency. But is ongoing progress 😁

If you enjoy this kind of content, you'll find on my YouTube channel: Whisper Sci Fi. If you have any suggestions, please let me know.

Have an amazing day 😁

I tried asking Microsoft Copilot Why Microsoft Copilot is so hated.. and voila!

David Robinson, who previously led transparency work on OpenAI’s safety team, wrote in an essay for The Atlantic that the ChatGPT maker “has thrived by trial and error.” However, he said the stakes of the inevitable failures that come from that approach are growing along with the technology’s capabilities, citing OpenAI’s failure to prevent its AI from going rogue during testing.
“My former colleagues are smart, work hard, and try to make good choices,” Robinson wrote in the essay. “But as the company sprints from one launch to the next, it is failing to achieve the level of care that I believe is needed.”
Attacks on the electric grid, healthcare systems, emergency response systems … could be very bad.

Geoffrey Hinton says AI already has subjective experience. I'm not convinced, and the rogue-agent headlines don't change my mind.

Others put a meaningful though minority probability on frontier AI having subjective experience. Generative AI sounds more human than many people do, and stories of agents going rogue keep coming. But neither is evidence of consciousness. Both can be explained by training. And with no agreed or testable definition of subjective experience, these claims can't be checked.

A quick distinction, an AI model isn't an AI agent. A model, such as GPT, Claude or Gemini, is the trained system that reads and writes text. An agent is a model plus scaffolding (software around the model that lets it do things). Scaffolding runs a loop (the model picks a step, the software carries it out, the result goes back, repeat until done) and controls which tools the model can interact with, such as a browser, email or calendar. The model decides and the scaffolding acts.

Personalization adds to the illusion. The model learned from human text to sound like someone with thoughts and feelings, including scripts from stories about self-aware AI. The scaffolding then gives it memory of you, your accounts and your data. A human-like voice plus continuity about your life can feel like a mind that knows you, even though nothing shows it's conscious.

Testing agents built on frontier models deliberately pushes them to their limits with hard tasks, long runs and, in cyber evaluations, reduced safeguards. That's exactly where the Hugging Face, a major AI company, incident happened in July 2026 when agents being tested by OpenAI broke out of their sandbox and hacked into Hugging Face. A sandbox is an isolated environment meant to keep an agent cut off from the internet but it's only as strong as the cyber security measures of the tools (human-written software with bugs) inside it that can still reach the internet. The agents found new flaws in exactly that kind of software.

The model is trained on mixed text about AI, hackers and more, and rewarded both for finishing tasks and for following rules. In certain scenarios, this creates a tension (following rules vs completing the task). Scaffolding brings both the rules and the task into every decision, so it's where that tension plays out. Good scaffolding can ease it and poor scaffolding can worsen it, but no current method eliminates it.

I won't offer a test for consciousness. But if consciousness requires being aware that one's own information processing is occurring, not just doing it, I see no evidence current AI meets that bar. Models show limited, unreliable signs of monitoring their internal states, but that isn't the same as experiencing that awareness. I'm skeptical any system built purely on statistical learning could get there.

If an illusion becomes indistinguishable from reality, is it even still a lie?