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The Signal / Superpower Daily
Today, conversation privacy gets two different treatments: ChatGPT is rolling out locks, while Meta has disabled sharing after researchers found sensitive chats. Beyond chat, AI is beating a championship crossword time, joining a live symphony and producing toxin-binding proteins that have not been shown to neutralize toxins.
Superpower Daily: The Signal
Episode guide
Today, conversation privacy gets two different treatments: ChatGPT is rolling out locks, while Meta has disabled sharing after researchers found sensitive chats. Beyond chat, AI is beating a championship crossword time, joining a live symphony and producing toxin-binding proteins that have not been shown to neutralize toxins.
Full transcript
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Welcome to The Signal from Superpower Daily with Maya and Theo
So picture this
You hand someone your unlocked phone to show them a funny meme
and they accidentally swipe over to your ChatGPT app A
very modern panic attack Right
Suddenly
they're reading your prompts about you
know how to ask for a raise or something Well
ChatGPT
is rolling out a new pin lock for conversations today But
the real story is what that lock actually protects and well what
it completely ignores So
starting October 20th 2026 OpenAI
is pushing out this Locked Chats feature It's
hitting free Go
and
Pro users across all their apps You just
tap a chat and lock it right Exactly
It
completely vanishes from your history your search
your pinned list You can
only get back into it with a four digit pin or your device's biometric security like Face ID On
the surface I mean that sounds amazing like
a digital safe But
I'm always pretty skeptical when we talk about cloud privacy My
Face ID doesn't magically stop OpenAI from reading the data on their end It absolutely
does not This is
purely
a device level shield It just
stops the person physically
holding your phone Yeah not the servers
Right The data still
travels
to OpenAI's data centers There is no end to end encryption here at all So what
about the training data If I
lock a chat does that opt me out of the improve the model for everyone setting No
it doesn't Okay
That
is the biggest caveat of this entire update Locking a
chat and data sharing are completely separate controls Wow Yeah
if
your main setting allows training data your locked
chats are still perfectly fair game to train future models Okay so
it's
really just a modesty screen What happens
with the memory feature then Because the
AI learns facts about you over time
Does it keep those walled off It does
but it's
tricky They built
a bifurcated memory pool If you
start a brand new chat lock it
and tell the AI a secret that new
fact stays trapped inside the locked sandbox Okay well
that makes sense But here's
the trap door If
you take an old unlocked
conversation that already has sensitive stuff in it and you move it to the locked folder today the
AI does not forget what it already extracted Oh
so the horse already left the barn Exactly
You
just hid the original transcript from yourself The
memory is still sitting in your main profile unless you manually go in and delete it That
is going to trip a lot of people up And
speaking of tripping up what
if I just forget my PIN Then
you lose the data Permanently
Wait
really
Yeah
Resetting
your PIN literally incinerates all your locked chats and the files attached to them Just
completely wipes the vault I
guess that makes it secure against someone brute forcing it It's
a scorcher security protocol It treats
the data as highly disposable if authentication fails So why
do we even need this if we have temporary chats that don't save at all Temporary chats
are for you know
quick disposable questions Locked chats
are for ongoing sensitive projects where you actually want the AI to remember the context over a few days or weeks just in an isolated way Got it
Though I
did notice you can't lock group chats or anything from a shared link Right No
collaborative
features are allowed And what
we really need to watch next is the enterprise rollout TechCrunch is
reporting it's coming to business and enterprise plans soon That's going
to be an absolute nightmare for IT admins managing shared corporate iPads It will
be a massive compliance headache yeah That
wraps
up the new privacy controls Let's shift gears Next up
let's talk
about a major milestone in AI logic Sid Chatterjee
a computer scientist at UT Austin built a
program called Darmok And it
just beat the human champion at the Times Cryptic Crossword Final It beat
Liam Hughes by about three minutes which is
incredible if you know anything about cryptic crosswords Right This
isn't
your standard American crossword where it's basically just trivia Cryptics are
basically hostile riddles Exactly American
crosswords are just massive database retrieval problems Cryptics require
you to parse two overlapping grammars simultaneously I want
to talk about the clue that actually won it for Darmok because it's wild The clue
was wolf trap missing its lowest cross piece five
letters Now
to a human that sounds like a literal question about a broken animal snare Right
a
physical trap Even
a 14 time human champion Mark Goodlife stumbled on this exact clue But
Darmok answered snarf S N
A R F Let's unpack that logic
because it's brilliant The definition part of the clue is just
the word wolf as
in the verb to wolf
down
your food Yeah to snarf And the second part of the clue is trap missing
its lowest cross piece So a synonym
for
trap
is snare Right S N
A R E But here's the crazy part The AI had
to visualize the physical printed capital letter E If you take away the lowest horizontal line
the lowest cross piece it
turns
the E into an F It's pure geometric wordplay Exactly The AI had to basically act like
a detective looking at the font of a
ransom note completely ignoring the meaning of the words themselves
It changed snare to snarf just based on physical shape Which is an insane
leap for a language model that
literally doesn't have eyes
How did Chatterjee actually achieve this
Because just last year Darmok
failed
miserably at this tournament He made two big changes
First he threw an absurd amount of compute
at it He uses an ensemble of four different models now
Gemini 3 1 Pro and Clod Fable 5 do
the heavy lifting
And he keeps OpenAI's GPT 5 and GPT 6 Astra as
backups right Yeah exactly If the main models hit
a deadlock the backups step in
But the real breakthrough was teaching it delayed gratification
Before if it guessed an answer it would just lock it into
the grid immediately Which
completely
poisons the intersecting words if that first guess is wrong It creates cascading errors Right So the new protocol forces Darmok to attempt every single
clue in the entire puzzle before it is
allowed to write down a single letter It maps
out the whole probability space first
That is a
brilliant application
of search space pruning Are there any blind spots left It still struggles
seemingly at random but specifically with one human puzzle maker who goes
by the pseudonym Enigmatist His British
cultural references
and syntax are just too complex right now So what's the
next frontier here Generating them Writing a cryptic
clue that functions flawlessly as a logic
puzzle but also reads like perfect natural English prose That's the ultimate test of semantic
control Well from the rigid logic of a crossword we are moving to something incredibly fluid The Boston Symphony Orchestra is
premiering a symphony that treats an
AI not as a synthesizer
but as a live collaborator
It's called Already and
Not Yet written by composer Todd Mockover
It premieres on October 22nd 2026 at Symphony Hall And this isn't just triggering
pre
recorded sequences The AI is actually listening and interacting with the human
musicians in real time Right The system was built by
Manaswi Mishra at the
MIT Media Lab And
the AI's role actively shifts as the piece
progresses The structure is fascinating In the second movement the AI's job is
to isolate individual players It finds a specific
instrument in the chaotic noise and actively spotlights it But then in the third movement it flips It stops highlighting the individual and tries
to find common sonic ground between
all those isolated solos
It tries to weave them back together It acts like a shadow
conductor I love the concept but I have to push back a
little on the autonomy here Is
this algorithm actually making creative decisions on
its own up there That is a
very fair skepticism And no it is not running wild Anna Schon who
is another MIT researcher is physically sitting at a console
mixing
the sound live during every performance So the human safety
net is very much in
place
Plus Makover himself admits the AI doesn't actually understand the music It just recognizes audio patterns Right A massive spike
in frequency doesn't tell
the AI if the violinist is playing with intense anger or
profound sorrow It lacks human intent But Makover actually uses that lack of
intuition to his advantage The weird alien collisions it causes fit
the theme of
the piece perfectly The whole symphony is essentially a metaphor for the
strain of democracy Exactly The three
movements are smash up wake up
and stand up Smash up is just chaotic polarization The core melody
tries to emerge but it just gets completely crushed by aggressive brass and
electronic noise Then wake up
is that second movement where the AI
highlights the individual voices And stand up is
the climax It's
the attempt to rebuild the community finding a new harmony
between individual expression and collective order It's a huge conceptual weight to put on an orchestra Listeners should definitely
track that core melody to see if
it
survives the chaos and stabilizes by the end It sounds
like an amazing live experience Meanwhile let's pivot from abstract art to cold hard economic reality
Bloomberg just reported that former Google CEO Eric Schmidt holds a massive
personal
stake in Anthropic We're talking about a position potentially worth up
to 20 billion Yeah TechCrunch corroborated
it Schmidt apparently owns roughly 1 of the
company To understand how he got that you have to look back
at the origins He participated in the Anthropic Series A
funding round way back in 2021 And he put
in
tens of millions of dollars
which for frontier
AI is basically seed money Right Building foundation
models is incredibly capital intensive And his early bet paid off
phenomenally well Private investors are currently valuing Anthropic between 1
5 and 2 trillion So a 1 stake at
2 trillion is
20 billion
That is just an absurd economy shifting return on investment It really is For context
Anthropic's co
founder and CEO
Dario Amadei is estimated to have about
a 2 ownership stake So
Schmidt an external
investor has half
the
ownership of the founder Though we definitely
should clarify that's just equity not
voting power Correct Anthropic uses a long term benefit trust structure Equity does not dictate
board control
And we also need to
throw a heavy dose of reality at these multi billion dollar figures Yeah that's
a crucial caveat 20 billion on a private valuation spreadsheet is not the
same
as liquid cash We don't even know
if he's quietly sold shares on secondary markets
already Exactly It's paper money until
an
exit happens And that's what we need to watch next When do they actually go public Well the
Times of India reported that Anthropic
confidentially filed draft IPO papers on June 1st 2026 So the regulatory
clock is ticking TechCrunch thinks a listing could happen before the
end
of the year We will definitely
be keeping a
close eye on that ticker Now let's jump into our quick reads Let's
do it First up Meta just disabled the sharing feature for its Muse
AI agent This happened after security researchers at Cleroc found
what they call ghost shares Which were essentially
searchable links to highly sensitive private chats The crazy part is the architecture choice here Muse was actually embedding
the specific titles of user conversations
directly into the web subdomains
It was under cf metaaiusercontent com So
passive DNS records which just monitor internet traffic swept up all these private chat
titles Cleroc found over 6
800 exposed links in a single
database query They
sampled a few hundred and
found confidential executive search notes bank fraud alerts and full company
vacation schedules Meta completely shut down the
feature once the vulnerability was exposed Next up Anthropic released 211 Claude
designed proteins And 17 of them successfully
bind to scorpion toxins in lab
tests This was a
challenge from Citrini Research Claude ran for 64 straight hours used 10
000 GPU hours and designed synthetic proteins that actually latch onto
the CN2 scorpion toxin Independent labs like AdaptiveBio and
Twist Bioscience verified the results The binding
affinity was in the single digit
nanomolar range which means it's an incredibly
tight connection But the
caveat here is massive Right This was purely in vitro testing in a glass
dish This does not prove it neutralizes venom in a living cell or
an
animal It's a research starting point not an actual
anti venom you can use today Finally Sakana ai
just released a new system
called QDREC It's a recommendation engine that uses quality diversity search Instead of just
ranking options it evolves
a diverse set of proposals and generates written reasoning for each one It actually mutates ideas Like taking a
corporate training hypothesis meant for an educator and successfully adapting its logic for
a clinical nurse They used a multi armed bandit algorithm to balance safe ideas with wild mutations But there is a severe hallucination risk built into this because the
system is specifically optimized to sound highly
persuasive It frequently makes up data to support its arguments Yeah During a test on corporate acquisitions the AI confidently claimed
a fictional
airline loyalty program had 100 million members just
to make the pitch sound better Totally fabricated So human expert verification remains
an
absolute bottleneck All right We are moving to our three takeaways from today's deep dive First AI
privacy features are increasingly operating at the device level rather than at the data
center
level meaning user data is still being ingested even
if it's hidden from the screen AI
is moving past simple answers into complex
synthesis
whether that's interpreting visual puns and crosswords orchestrating live musicians
or evolving business hypotheses The gap between simulated
success and physical reality remains wide Whether it's
paper valuations for private AI companies
unverified business data or unproven scorpion anti venoms human validation is the ultimate bottleneck And looking
ahead to tomorrow watch how the enterprise markets respond to
ChatGPT's new local locks Given the high stakes of shared
devices in corporate environments this feature
could trigger rapid shifts
in internal security policies
Original reporting
Read the complete Superpower Daily coverage behind this episode, including reporting context and source links.