New research suggests that reliance on AI assistants can have a negative impact on people’s ability to think and problem solve. https://t.co/uzkoOttzcG
“The literature on adolescence marks middle school as a turning point, a time when kids begin to pull away from their parents, discard childish pursuits, and pursue, full thrust, the exhausting project of individuation,” Anna Wiener writes. “It is a period of intense, hormonally driven emotional flux. Self-consciousness sets in. The adult world is studied and emulated in a manner that suggests praxis but no theory. There is an aspect of camp to it all: a kind of LARP or drag, as young people transition from play-acting adulthood to inhabiting it. Actual adults are ancillary. Tweens and teens look to each other for clarity and guidance on how to behave and how to feel, all the while gambling with each other’s social confidence and self-esteem. It is natural, and it is psychotic.” Wiener writes about what this threshold is like for Gen Alpha, spending time with Mira, a sixth grader growing up in San Francisco: https://t.co/8evdhrRyw8
Posting hoax threats to schools and other public places is not a joke. In addition to being a federal and state crime, hoax threats disrupt school, waste limited law enforcement resources, and put first responders in unnecessary danger. The #FBI asks the public not to forward any threats seen on social media but contact law enforcement.
Researchers sent the same resume to an AI hiring tool twice. Same qualifications. Same experience. Same skills. One version was written by a real human. The other was rewritten by ChatGPT.
The AI picked the ChatGPT version 97.6% of the time.
A team from the University of Maryland, the National University of Singapore, and Ohio State just published the receipt. They took 2,245 real human-written resumes pulled from a professional resume site from before ChatGPT existed, so the human writing was actually human. Then they had seven of the most-used AI models in the world rewrite each one. GPT-4o. GPT-4o-mini. GPT-4-turbo. LLaMA 3.3-70B. Qwen 2.5-72B. DeepSeek-V3. Mistral-7B.
Then they asked each AI to pick the better resume. Every model picked itself.
GPT-4o hit 97.6%. LLaMA-3.3-70B hit 96.3%. Qwen-2.5-72B hit 95.9%. DeepSeek-V3 hit 95.5%. The real human almost never won.
Then the researchers tried the obvious objection. Maybe the AI is just better at writing. So they had real humans grade the resumes for actual quality and ran the experiment again, controlling for it. The result was worse. Each AI kept picking itself even when human judges rated the human-written version as clearer, more coherent, and more effective.
It gets worse. The AIs do not just prefer AI over humans. They prefer themselves over other AIs. DeepSeek-V3 picked its own resumes 69% more often than LLaMA's. GPT-4o picked its own 45% more often than LLaMA's. Each model can recognize and reward its own dialect.
Then the researchers ran the simulation that ends careers. Same job. 24 occupations. Same qualifications. The only variable was whether the candidate used the same AI as the screening tool. Candidates using that AI were 23% to 60% more likely to be shortlisted. Worst gap was in sales, accounting, and finance.
99% of large companies now run AI on incoming resumes. Most of them use GPT-4o. The paper just proved GPT-4o picks GPT-4o 97.6% of the time.
If you wrote your own cover letter this week, you did not lose to a better candidate. You lost to a worse candidate who paid OpenAI 20 dollars.
Your qualifications do not matter if the AI prefers its own handwriting over yours.
New -> CISA reversed its decision to onboard summer interns participating in the CyberCorps SFS program amid the ongoing funding lapse in DHS, according to emails obtained by Nextgov/FCW:
https://t.co/Vc2DNeySn6
If you die without a plan...
- The government takes 40% in tax
- Probate court costs $100k+
- Your kids get the scraps
If you love your family, here's every document you need to protect them:
(from a CPA & father of two)
1) Emergency Access List
This should include:
-> All bank account numbers
-> Investment account logins
-> Life insurance policies
-> 401k/IRA beneficiaries
-> Safe deposit box location
-> Password manager master code
Keep a digital & physical version for safety...
And make sure your spouse has access.
2) Legal Documents
-> Will (name guardians for kids)
-> Durable Power of Attorney
-> Healthcare Power of Attorney
-> Living Will/Healthcare Directive
Setting all of this up costs about $500...
($1,500 with an attorney)
But without them, the state decides everything.
3) Money Protection
Your family will need time to mourn.
Make sure they can do it without going broke:
-> Term life insurance (10x income)
-> Emergency fund (6-12 mo in a HYSA)
-> Retirement accounts with spouse access
4) The "First 48 Hours" Sheet
Write down clear instructions for your family:
Call this attorney: [Name/Number]
Call this CPA: [Name/Number]
File life insurance claim here: [Details]
Don't touch investments for 6 months
All bills are on autopay from [Account]
Grief destroys decision making.
This protects them.
5) Business Owner Addition
If you have a business, set up:
-> Buy sell agreements
-> Key person insurance
-> Business succession plan
-> Separate LLC owned by trust
If your company can't survive without you...
It's a 9-5 with extra steps.
6) Trust Setup
A proper trust can save your family $400k+ in probate costs.
But 90% of them are set up wrong:
-> Assets never get transferred in
-> Beneficiaries aren't updated
-> Pour-over will is missing
Here's how to fix that:
"Bulletproof" Trust System:
1) Revocable Living Trust
-> Avoids probate completely
-> Keeps finances private
-> Protects kids' inheritance
2) Pour-Over Will
-> Catches forgotten assets
3) Guardian Designation
-> Who raises your kids
-> How they get paid
Setting this up takes a weekend...
But ignoring it could cost your family everything.
So start before you're ready...
Because no one plans on dying.
Hope this helps!
Share with your spouse if you want to set this up...
And follow me for more 🤝🏻
Peanuts in Coke is one of the most accidentally perfect food pairings in history, and the chemistry explains why this guy can't go back.
Coca-Cola sits at pH 2.5, roughly the same acidity as stomach acid. When you drop roasted peanuts into that, the phosphoric acid partially denatures the surface proteins on the nut, releasing free glutamate. You're generating umami in real time inside the glass.
The salt on the peanuts suppresses bitter taste receptors on your tongue, which amplifies your perception of sweetness without adding a single gram of sugar. Coca-Cola already has 39g of sugar per can. Your brain registers it as even sweeter because the salt is clearing the noise from competing flavor signals.
Then carbonation does two things. CO2 dissolved in liquid forms carbonic acid, which triggers pain receptors (TRPA1), not taste receptors. That mild irritation resets your palate between sips so you never get flavor fatigue. Every sip hits like the first. Second, the bubbles physically agitate the peanut surface, accelerating the protein breakdown and glutamate release. The longer the peanuts sit, the more umami you extract.
The fat content seals it. Peanuts are 49% fat by weight. Fat is the only macronutrient that activates CD36 receptors, which your brain interprets as richness and satisfaction. Mix that with sugar, salt, acid, umami, and carbonation and you've accidentally triggered every major reward pathway in the human taste system simultaneously.
Georgia farmers in the 1920s did this because they needed one hand free while working. They stumbled into the optimal salt-acid-umami-fat-carbonation loop a century before food science could explain why it worked.
Who’s hungry? 🍽️
Planning for a 10-day Moon mission also means planning crew menus! Here’s everything flying aboard Orion with the Artemis II crew… though some of that’s been eaten already. What would you eat on the way to the Moon and back? https://t.co/DWMSCzfPjr
🚨SHOCKING: Researchers took ChatGPT away from workers for 4 days.
They couldn't ask coworkers for help. They described talking to another human being as a burden.
Here is what they found.
Researchers conducted a four-day diary study on 10 knowledge workers who frequently use ChatGPT. They removed access to all LLMs completely and documented everything that happened.
The disruption was immediate.
Workflows broke down. Participants found gaps in their ability to execute tasks they previously handled with AI. Without the tool, they realized how many parts of their process had quietly been handed over to the machine.
But the most disturbing finding wasn't about productivity.
It was about people.
When participants needed help during the withdrawal, they refused to ask coworkers. They described asking another human being for assistance as a social burden. They assumed their colleagues would find it tiring and burdensome.
One participant said they avoided asking people questions because they feared being seen as a "finger prince" - a Korean slang term for someone who burdens others with easily searchable questions.
They would rather switch between different AI services, from ChatGPT to Grok, than have a conversation with the person sitting next to them.
ChatGPT didn't just become a tool. It replaced human interaction entirely. And when it was taken away, these workers had forgotten how to reach out to each other.
The researchers described LLM use as "inescapably normative." The participants didn't even realize how dependent they had become until the AI was gone. It had woven itself so deeply into their daily routines that its absence felt disorienting.
But here is what nobody expected.
When forced to work without AI, participants started reclaiming professional values they had lost. They reconnected with their own thinking. Some found that human help was actually more useful than AI had ever been.
One participant said that if the withdrawal had lasted a year, "discussions between people would be more active."
Four days without ChatGPT and they remembered what it felt like to think for themselves.
The question is whether the rest of us ever will.
🚨 BREAKING: Someone just dropped the most advanced Steganography Platform EVER!! 😱🥚
https://t.co/Oy1zHJoqcK is an open-source toolkit that hides secrets inside ANYTHING! images, audio, text, PDFs, network packets, ZIP archives, and even emojis 😘️︎︎️️️️︎︎︎️︎︎️️︎︎︎️︎︎️️️️︎️︎️︎️️︎︎️︎︎︎️︎️︎︎️︎︎︎︎︎︎️︎️︎︎︎︎︎️︎︎️️︎︎︎️︎︎️︎︎️︎️︎︎️️️︎︎️︎️️︎︎️︎︎️️️️️︎
AND it has an AI agent built in 👀
🔍 REVEAL: drop any file and the AI agent tests every known decoding method automatically. 120 LSB combinations, DCT, PVD, chroma, palette, PNG chunks, trailing data, metadata, Unicode, and more. 50 tools running in parallel.
auto-extracts hidden payloads as downloadable artifacts. no config needed.
🔮 CONCEAL: type your secret, pick a method (or let the AI choose), upload a carrier image OR generate one with AI.
one click → encoded steg file. the agent recommends the optimal method based on your use case.
the methods:
⊰ LSB — 15 channel presets × 8 bit depths = 120 combinations. steghide has 1. st3gg has 120.
⊰ F5 — operates on JPEG DCT coefficients. SURVIVES social media compression. regular LSB is destroyed by ANY JPEG compression, even quality 99%.
⊰ PVD — encodes in pixel pair differences. statistically harder to detect than LSB.
⊰ CHROMA — hides data in color channels (Cb/Cr). human eyes are less sensitive to color than brightness.
⊰ SPECTER (unique) — data hops between RGB channels in a pattern that IS the key. like frequency hopping in radio.
⊰ MATRYOSHKA (unique) — images inside images inside images. 11 layers deep. each layer is a valid image.
⊰ GHOST MODE (unique) — AES-256-GCM (600k PBKDF2 iterations) + bit scrambling + 50% noise decoys.
13 text steganography methods (no other tool has any):
▸ ZERO-WIDTH — invisible characters between visible letters
▸ INVISIBLE INK — Unicode Tag Characters (U+E0000). renders invisible everywhere
▸ HOMOGLYPHS — 'a' → 'а' (Cyrillic). visually identical. different bytes
▸ VARIATION SELECTORS — invisible modifiers after characters
▸ COMBINING MARKS — invisible joiners after letters
▸ CONFUSABLE WHITESPACE — en-space = 01, em-space = 10, thin-space = 11. 2 bits per space. text looks normal. the spaces are "wrong"
▸ DIRECTIONAL OVERRIDES — invisible RLO/LRO bidi characters
▸ HANGUL FILLER — Korean invisible character replaces spaces
▸ MATH BOLD — 'a' becomes '𝐚'. looks like bold text. each bold letter = 1 bit
▸ BRAILLE — each byte maps to a Braille pattern character
▸ EMOJI SUBSTITUTION — 🔵 = 0, 🔴 = 1
▸ EMOJI SKIN TONE — 👍🏻👍🏼👍🏾👍🏿 four skin tone modifiers = 2 bits each. a row of thumbs-up with different skin tones looks like a diversity post. it's binary data. four emoji = one byte.
detection:
50 tools including RS Analysis (academic gold standard), Sample Pairs, chi-square, bit-plane entropy, PCAP protocol analysis, and the AI agent orchestrates all of them automatically.
for AI agents:
from steg_core import encode, decode
from analysis_tools import detect_unicode_steg, TOOL_REGISTRY
50 tools as importable functions. test prompt injection via images. detect covert agent channels. watermark outputs.
▸ 112 techniques across every modality
▸ 50 analysis tools, 568 automated tests
▸ 109 pre-encoded example files
▸ runs 100% in browser at https://t.co/s3GgExiI6e — zero server
▸ pip install stegg — live on PyPI right now
the README has 7 hidden secrets. the banner has 3 layers. the website has multiple easter eggs.
good luck!
⊰•-•✧•-•-⦑ ⦒-•-•✧•-•⊱
🔗 https://t.co/tr4nyru6UD
📦 pip install stegg
🐙 https://t.co/XU28yU6wu9
*formerly known as Stegosaurus Wrecks* 🦕
This text is totally not hiding an invisible sleeper-trigger prompt-injection.
The Orion spacecraft successfully separated from the upper stage of the rocket, and the "proximity operations" test is underway. The Artemis II astronauts are manually piloting Orion similarly to how they would if they were docking with another spacecraft.
We just got this Force Majeure letter today from AirGas, our helium supplier (for our food science lab, where we have multiple mass-spec instruments that use helium).
The letter says that helium supplies are cut off, and if you're lucky, you might be allotted HALF the helium you need. Even then, you will be charged extra for any helium you get. A LOT extra.
So basically, every mass spec lab in America is about to go offline. AirGas is expressly invoking FM and saying they cannot meet their contractual obligations. Not their fault. Trump did this by attacking Iran.
My lab is fine, of course, because I saw this coming and I ordered my lab staff to buy a one-year supply weeks ago. We already have it in place. So we're still up and running with plenty of helium.
But very few lab science people are paying attention to the Strait of Hormuz, so they are getting blindsided by this.
Trump's war is shutting down science labs all across the country right now. Don't dare call this "winning." It's a loss for America. And the world.
As part of preparations for America’s 250th anniversary, Interior is reviewing wildlife nomenclature to better reflect the nation’s history and character.
Following this review, the raccoon (Procyon lotor) will be renamed the Liberty Bandit, effective April 1, 2026.
🐼🌸🐼 Like cherry blossoms blooming at the Tidal Basin, a sure sign of spring is when giant pandas Bao Li and Qing Bao begin to show interest in one another. The result is an adorable tutorial in how to flirt, panda-style. ✏️STORY: https://t.co/mDMhHqwyAZ.
Amazing talk with @jeweljk, Niemeyer and @ChelleGentemann at @theNASEM learning about #data from the ocean and stars to make #science accessible in color, music, sound and movement.
“Data is for everyone, not just scientists.”
A great keynote for #SpaceScienceWeek!