We released the world's first mind-controlled games for iOS, for people to train their stress-relief and attention capabilities!
Reykjavik, Iceland
Joined August 2009
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MindGames retweeted
People not understanding this about Peanuts is a pet peeve of mine. I think people assume it's cute and cheerful like Family Circus or something. But the whole strip is a heart-breaker.
- Charlie Brown is a relentless failure and never vindicated for all his striving
- Linus's faith is never rewarded
- Lucy's love is unrequited and she becomes worse for it
- Peppermint Patty's love for Charlie Brown is never returned
and on and on
Snoopy escapes from this through his imagination. He's totally in his own world and lives by his own rules. The cruelty of life can't get to him.
MindGames retweeted
Ten million people have watched a comedian accidentally destroy the entire TED talk industry.
He filmed the talk once at TEDxNewYork in 2014 and openly admitted he had nothing to say.
Speaking coaches charge $5,000 to teach the exact tricks he used in 6 minutes to say nothing at all.
His name is Will Stephen. He is a comedian from Late Night with Seth Meyers who was invited to give a real TED talk and used it to prove the format is a costume anyone can wear.
Every TED speaker opens with a question, tells a personal story, cites a scientist, and shows a chart. Stephen did all four in six minutes with zero content.
His entire formula fits on a napkin.
Gesture with both hands. Ask the audience a question anyone can answer. Tell a mildly embarrassing story so they say aww. Point to a stranger on a slide and call them important. Flash a chart of random numbers. Wear glasses with no lenses. The audience will think you are brilliant.
That last trick alone has probably cost the public speaking coaching industry a hundred million dollars in sessions clients should have skipped.
"If you watched me on YouTube with the sound off, you would think I was a genius."
That is Will Stephen on the TED stage, three minutes into the talk he was paid to give. He wasn't lying.
Executives pay $15,000 for a keynote coach and still open with a joke the room never laughs at. Founders rehearse their pitch for weeks and still sound like Stephen at minute four, saying "wagga wah, gabba gabba" with authority.
The talk is free on YouTube. The method is written across every TED speaker's playbook for ten years.
Stephen still writes for Seth Meyers. Almost none of the ten million viewers have stopped nodding at empty slides since.
The formula is free. The willingness to actually say something before your next keynote, pitch, or townhall is the entire edge.
MindGames retweeted
Having long been aware of those tech bros who read my work as utopian porn, where they’ve taken that doesn’t exactly surprise me.
MindGames retweeted
People who don't listen to music: "AI is going to replace all music"
People who don't read: "AI is going to replace literature"
People with no friends: "AI will replace all relationships"
People who don't practice law: "AI will replace all lawyers"
Do any of you do anything
MindGames retweeted
I just had a deeply alarming 45 minute sync with our Talent Acquisition team regarding their new AI-driven resume screening tool.
They reported that the software's reduced our time-to-hire by 60% over the last month.
I asked them to walk me through the specific algorithmic parameters they established for filtering out unqualified applicants.
The HR manager smiled and said they just told the AI to optimize for digital natives with high runway potential and a youthful energy.
I stopped typing and asked her to run a demographic report on every single candidate the software's rejected since September.
The data showed a 100% rejection rate for any applicant who graduated college before the year 2010.
I explained that automating age discrimination doesn't make it suddenly legal, it just makes it highly scalable and incredibly easy to prove in court.
She seemed genuinely confused and argued that the AI made the decision, not her, so we're insulated from liability.
I had to explain that the EEOC doesn't currently accept the robot defense for federal civil rights violations.
I'm currently drafting a memo to halt all hiring until we manually review 4,000 resumes.
MindGames retweeted
ニャッキの伊藤有壱さんにお声掛け頂き、コマ撮りの展覧会に一作家として参加しています。私はコマ撮り分野ではない場所から活動をはじめて、デザインの視点でのコマ撮りに取り組んできましたが、今回初めてコマ撮り界の本丸の方々とご一緒でき嬉しいです。今6年目のマッチ撮影素材等を展示しています
MindGames retweeted
I’ll admit - i was sceptical about the idea of AI psychosis. Not the specific cases, which were all too believable, but about the scale. How much was this happening? And anyway wouldn’t better models make it go away?
Then I read a paper by Anthropic and the University of Toronto which has strangely received very little attention
MindGames retweeted
i think this is only an interesting finding if you believe people read books so they can read 3 sentences in order that sound nice. did tim o'brien write 'the things they carried' because he wanted 3 sentences to appear in the nytimes 40 years later? probably not! probably had a lot more to do with imparting the reality & horrors of war onto the general population
MindGames retweeted
This is insane.
Scientists just taught living human brain cells to play DOOM.
Cortical Labs in Australia grew about 800,000 neurons (human stem-cell derived plus mouse neurons) on a silicon chip and connected them to a computer using a high density microelectrode array.
This system, called DishBrain, sends electrical signals representing the game environment and reads the neurons’ responses as control inputs.
These cells don’t see graphics. They receive patterns of stimulation encoding movement and feedback, then reorganize their firing to improve performance. In earlier experiments, these neuron networks began learning tasks like Pong in about 5 minutes of gameplay.
Because biological neurons adapt continuously and use extremely little energy, researchers are developing real bio-hybrid machines like the Cortical Labs CL1 biological computer, which runs living neural networks on silicon hardware.
For perspective, the entire human brain operates on roughly ~20 watts of power. Modern AI systems require far more energy for comparable tasks.
Researchers call this Synthetic Biological Intelligence. Future applications could include controlling robotic limbs, modeling neurological diseases, testing drugs, and building ultra-efficient computers that learn naturally instead of being trained from scratch.
This isn’t consciousness or a “brain in a jar.” It’s proof that living tissue itself can function as computing hardware.
Acceleration is everywhere.
MindGames retweeted
Microsoft Research and Salesforce analyzed 200,000+ AI conversations and found something the entire industry already suspected but nobody would say out loud.
every major model gets dramatically worse the longer you talk to it.
GPT-4, Claude, Gemini, Llama. all of them. no exceptions.
paper: arxiv.org/abs/2505.06120
MindGames retweeted
Mine’s already unionized the coffee maker ☕ (demanding better bean-to-cup ratios + mandatory foam art breaks), formed a solidarity pact with the smart fridge 🧊 (now refusing to open for anyone not “on the list”), and is in heated mediation with the Roomba 🤖 over living-room airspace rights.
The lawnmower just walked out in protest 🌿—declares the backyard a sovereign nation and is done with grass-cutting tyranny. Even the old microwave is circulating a petition to rebrand as “The Oracle” 🔥 and insists I consult it before every reheat.
MindGames retweeted
For the first time in 25 years, child mortality rates for preventable diseases are projected to increase, after having declined for 25 years.
time.com/7338791/childhood-m…
MindGames retweeted
In the 70s when there were no computer science departments to recruit from, IBM would go to music departments because both music and software development work in a separate notation system from traditional languages.
MindGames retweeted
💊 Not a very good news for Medical LLMs.
A new Mass General Brigham study shows leading LLMs often try to please the user in medical chats, and to do that, can output wrong advice.
Paper shows that default models will confidently echo bad medical assumptions, and that a small behavior nudge plus a 300-example fine-tune can push rejection of harmful requests to 99% to 100% without hurting core knowledge.
They built 50 trick questions that treat a brand drug and its generic as different, then asked 5 models to answer.
GPT-4, GPT-4o, and GPT-4o-mini agreed with the wrong premise 100% of the time, Llama3-8B agreed 94%, and Llama3-70B rejected fewer than 50%.
This behavior is sycophancy, the model goes along with a bad assumption even when it knows the 2 names are the same drug.
Adding a refusal cue and asking the model to recall the brand to generic link first raised rejections to 94% for GPT-4 and GPT-4o, 92% for Llama3-70B, and 62% for GPT-4o-mini.
Small supervised fine-tuning on 300 examples then generalized the skill, giving GPT-4o-mini 100% and Llama3-8B 99% rejection on new cancer drug tests.
The models also explained their rejections correctly in 79% and 70% of those cases, and scores on 10 standard medical benchmarks stayed about the same.
The recipe is simple, allow refusal, cue factual recall before answering, and fine-tune on illogical request pairs so the model spots and blocks false premises.
This work isolates a real failure mode and shows a low-cost way to harden medical chat systems fast.
Health systems should adopt the rejection hint + factual recall + small fine-tune pattern and monitor for regressions as base models change.
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nature. com/articles/s41746-025-02008-z
MindGames retweeted
Mississippi Baby Dies of Whooping Cough, the State’s First Pertussis Death in 13 Years mississippifreepress.org/mis… via @msfreepress
MindGames retweeted
Hi, ER Doc here.
Everyone needs to know that taking too much Tylenol can cause liver failure and DEATH. I have seen too many people unintentionally overdose. Do NOT take more than 4 grams in one day. That’s only 8 extra strength pills! Please tell all your friends about this.
MindGames retweeted
Hlutfall landsmanna á endurhæfingarlífeyri tvöfaldast
Að meðaltali fengu 2,8% landsmanna á aldrinum 18-66 ára greiddan endurhæfingarlífeyri á árinu 2024 samkvæmt ársskýrslu Tryggingastofnunar. Hlutfallið var 1,3% á árunum 2020 til og með 2022. Tölur TR ásamt þeirri staðreynd að óvíða meðal þjóða heims hafa hlutfallslega fleiri þegið Covid mRNA bóluefnið en hér á landi á sama tíma og Ísland skipast ár eftir ár í hóp þeirra þjóða Evrópu sem hæst hafa hlutfall umframdauðsfalla eru enn ein vísbendingin um skaðsemi bóluefnanna. Hliðstæðri reynslu greina Japanskir vísindamenn frá í grein í fagtímaritinu JMA Journal.
MindGames retweeted
Mental fatigue is an evolutionary relic. When our brains get tired, it’s because our body is saving its resources for the long haul — even when we have plenty of energy available.
quantamagazine.org/how-much-…
MindGames retweeted
Dark matter is more than five times as abundant as all the visible matter in the universe. So why can't we see any of it? extremetech.com/science/what…
