Mediaeater Digest – Weekend Edition

How TikTok’s Parent, ByteDance, Became an A.I. Powerhouse
ByteDance uses its 1 billion users’ data to fuel its AI growth, after investing $11B in 2024.
https://www.nytimes.com/2025/04/11/business/tiktok-china-bytedance-ai.html?

Vim is more useful in the age of LLMs  https://ja3k.com/blog/vimllm
This and anthropic artifacts make me think the future of code could involve a lot of bespoke software made just for one individual’s use case.

‘We tried to train it like it was a kid in art school’:  artist David Salle on using an AI model to enhance his painting practice https://www.theartnewspaper.com/2025/04/10/artist-david-salle-on-using-ai-model-enhance-his-painting-practice

If you are not jailbreaking models your missing out
https://github.com/elder-plinius/L1B3RT4S

Notable Aamicus filings.

Aamicus brief in support of authors suing Meta  https://storage.courtlistener.com/recap/gov.uscourts.cand.415175/gov.uscourts.cand.415175.525.0.pdf

https://storage.courtlistener.com/recap/gov.uscourts.cand.433688/gov.uscourts.cand.433688.152.0.pdf  
OpenAI employees on Friday filed a proposed amicus brief opposing OpenAI’s conversion to a for-profit corporation.

Papers

Defeating Prompt Injections by Design
https://arxiv.org/abs/2503.18813

Google : Taking a responsible path to AGI
https://deepmind.google/discover/blog/taking-a-responsible-path-to-agi/

Google : An Approach to Technical AGI Safety and
Security   https://storage.googleapis.com/deepmind-media/DeepMind.com/Blog/evaluating-potential-cybersecurity-threats-of-advanced-ai/An_Approach_to_Technical_AGI_Safety_Apr_2025.pdf

ARTS

Hamlet hail to the Thief.  https://www.rsc.org.uk/hamlet-hail-to-the-thief/

AI Music Generation through Chain-of-Thought Prompting

Teaching AI to Think Before It Plays

Instead of predicting sound one token at a time, it introduces a “chain of musical thought” — a planning stage where the model sketches out the song’s structure using CLAP-based audio embeddings before rendering audio.

This shift brings better structure, less repetition, clearer instrumentation, and reference-based generation without copying, moving closer to music with intent.  musicot.github.io

The Crisis of Context: Why You Can No Longer Trust the Narrative

Or, The death of Necessary Factual and Normative Context.

I’ve watched social media and blogging transform over the years, shifting from relatively open spaces where people expressed themselves freely to platforms often overrun by manipulation, bots, and state-sponsored interference, advertising etc. A friend and I were discussing this shift recently, and he asked if there’s any real upside left to publishing one’s thoughts online. My immediate answer leaned towards ‘probably not most of the time.’ However, what I didn’t fully articulate then, but realized later, is the motivation behind pieces like this one: an attempt to share constructive information, to offer context that might help us navigate the current environment and move forward collectively. This observation about the changing information landscape leads directly into the core concerns I want to address…

As editors and news organizations fail us by omitting crucial context, the public often doesn’t realize that the way significant global shifts are reported—often trivially, like the weather—is a stark deviation from our shared understanding of normalcy.

The abnormal gets reported as normal because context is missing. When people are ‘disappeared’ from the streets,with out notice or warning, it’s reported merely as news; no context is offered to emphasize that this is profoundly abnormal. Say the words to yourself. This is not normal. This is not normal.

Therefore, your own change logs must serve as your proof. Start keeping track yourself. Make lists. Understand where your values lie and where your lines in the sand are drawn. The grasp on fundamental concepts like values and virtues is weakening; these things are disappearing. Meanwhile, the Overton window isn’t just open or shifting; it’s been smashed. And this destruction continues precisely because no context is provided to frame it.

You must provide the context yourself. You cannot rely on others. Dispute the text. Question the video. Understand the motivation, because each and every piece of information, every image, every post is designed to move you to action. It’s not a distraction; it’s the plan. It’s not entertainment; it’s manipulation. Advertising or nation state actors diving the populace all using the same platforms and methods.

For example: Regulation is disappearing—another change occurring without context and by design. If context were provided honestly, the connection between deregulation and harm would be clear. Instead, the narrative often omits that regulation brings us vital protections like seatbelts and controls on air pollution. Proper context would show that less regulation can lead to disasters like a train derailing in your backyard, poisoning communities, and potentially devastating families for generations.

This marks the day editors died, but perhaps they’ve been dead for a long time, replaced by a generation raised on the internet, often lacking a fundamental understanding of what’s truly important and why. What was hard fought for and won for a reason. For God’s sake, you often can’t even find the basic ‘who, what, where, when, why’—the inverted pyramid structure—in 90% of the articles you read. I’m not even going to talk about the sprawling articles that say nothing over thousands of words.

Everything is changing at a magnitude faster than in the past; the pace has accelerated dramatically. The global world order I learned about as a child, which had seemed stable for 50 or 60 years, was turned upside down in mere weeks and months sas context of course.

Observe how business leaders adopted this change with fealty, signing up for photo opportunities and donating millions to causes of destabilization that ultimately could cost their own companies billions. Doesn’t it seem obvious? Consider the line-up (or procession) of tech leaders at the recent inauguration—it serves as a stark marker of this fealty. That photograph will likely endure for a long time.

So, watch the Overton window and track its changes. Keep note of what’s truly meaningful, because those traditionally responsible for this task (the press, editors) are no longer doing it effectively. In fact, they may now be incapable. The Fourth Estate resembles a dilapidated shack on the side of a road we once traveled—a road founded on an ideal we’ve largely forgotten. Keep your own context.

There is no guiding light. There is no shining city on a hill. There is no light on the hill anymore. There is only you, potentially, to hold that light and illuminate the way forward for others. But you cannot do this if you don’t possess context or provide it yourself. Start tracking it now; it will serve you well later.

Be your own editor. Dispute the narratives presented to you. Your ability to deploy critical thinking is becoming your single greatest differentiator—the most crucial tool you possess for navigating towards wealth creation, safety, and health and the world itself. Dispute the text

Travel OPSEC – Phone Security for Border Crossings

Device Preparation

  • Consider using a burner phone (buy a cheap phone at your destination)
  • For iPhones, enable Lockdown Mode, especially for overseas travel
  • Put sensitive data in the cloud, delete relevant apps and data, then set up again after crossing
  • Always power down your phone completely before handing it to officials
  • For iPhones, use the “Erase All Content and Settings” option which rotates the key hierarchy for the data volume, making previous data unrecoverable

SIM Card Management

  • Travel without your regular SIM card
  • Be aware that SIM cards transmit unique identifying information to cell towers and have full root access to your device
  • Keep minimal WiFi networks stored on your phone

Operating System Considerations

  • Consider GrapheneOS for Android devices
  • GrapheneOS provides key destruction at factory reset according to their FAQ
  • For Android, ensure encryption is activated (default on Android 6.0+ when screen lock is set up)

Authentication & Access Control

  • When crossing borders, never hand over a powered-on phone
  • Disable facial recognition at border crossings to control when the phone is unlocked
  • For iOS, enable Stolen Device Protection; hold lock button and volume button together for two seconds to require PIN unlock instead of biometrics
  • Set your phone to erase after 10 failed PIN unlock attempts for extra caution

Data Security Approaches

  • For Android, consider using Termux with secure deletion tools like “shred” and “srm” packages
  • Enable 1Password’s travel mode which removes vaults except those marked safe for travel
  • Recent phones have encrypted storage with keys wiped on factory reset
  • Consider wiping your phone and restoring from iCloud upon arrival

Physical Security Options

  • Consider breaking or epoxying the USB-C port and using wireless charging only for extra protection
  • Store sensitive data encrypted on a micro SD card hidden elsewhere, then restore from it at destination

Alternative Approaches

  • Leave your phone at home entirely and say you forgot it
  • Consider a remotely accessible virtual smartphone that isolates groups of apps from each other
  • Limitation: This approach requires network availability

Things to Avoid

  • Don’t arrive with a completely wiped phone as this can raise suspicion
  • Log out of all social media accounts
  • Be cautious of phones advertising “secure wipe after failed password attempts”
  • Avoid using “secure apps” on phones as they can be seen as suspicious

Other Resources

Can Border Agents Search Your Electronic Devices? It’s Complicated.

Mediaeater Digest April 5th, 2025

DOGE Is Planning a Hackathon at the IRS. It Wants Easier Access to Taxpayer Data
https://www.wired.com/story/doge-hackathon-irs-data-palantir/

AI giants reject government’s approach to solving copyright row
https://www.thetimes.com/uk/technology-uk/article/google-openai-reject-copyright-plan-bnnzztts9

The Llama 4 herd: native multimodal AI
https://ai.meta.com/blog/llama-4-multimodal-intelligence/   (weekend drop)

ai-2027.com  https://ai-2027.com/

TV Garden  | Radio Garden 

Organising music for organic discovery
https://www.bbc.co.uk/rd/articles/2025-03-orbit-music-discovery-organise-analysis/

On the foolishness of “natural language programming”
https://www.cs.utexas.edu/~EWD/transcriptions/EWD06xx/EWD667.html

Study finds solo music listening boosts social well-being
https://phys.org/news/2025-03-solo-music-boosts-social.html

Deepsite – (just mind blowing)  https://huggingface.co/spaces/enzostvs/deepsite

The case against conversational interfaces
https://julian.digital/2025/03/27/the-case-against-conversational-interfaces/

ERA Protocol – “Reflexive modeling is not trust. Flattery is not alignment. Containment is not cooperation.”
https://github.com/parkertoddbrooks/ERA-Protocol/tree/main  (this is critical)

Globalizing Productions with Netflix’s Media Production Suite  (open source for scale)
https://netflixtechblog.com/globalizing-productions-with-netflixs-media-production-suite-fc3c108c0a22

United States Disappeared Tracker  (map of the destroyed the ideal of America)
https://public.tableau.com/app/profile/danielleharlow/viz/UnitedStatesDisappearedTracker/Map

The White House Correspondents Association Speaks Cowardice to Power
(Joining Columbia University and the law firm Paul, Weiss  in fealty)
https://daringfireball.net/linked/2025/03/31/whca-speaks-cowardice-to-power

An image of an archeologist adventurer who wears a hat and uses a bullwhip
https://theaiunderwriter.substack.com/p/an-image-of-an-archeologist-adventurer

Hardware:screens
https://usetrmnl.com/

Severance — Music To Refine To feat. ODESZA | Apple TV+  (8hrs+ hrs) 
https://www.youtube.com/watch?v=JRnDYB28bL8

Sec-Gemini v1, a new experimental AI model focused on advancing cybersecurity AI frontiers.
https://security.googleblog.com/2025/04/google-launches-sec-gemini-v1-new.html

Self-Fulfilling Misalignment Data Might Be Poisoning Our AI Models
https://turntrout.com/self-fulfilling-misalignment

 

 

Mediaeater Digest Weekend Edition.

An interactive demo for developers to try the new text-to-speech model in the OpenAI API.   
https://www.openai.fm/ 

Introducing next-generation audio models in the API
https://openai.com/index/introducing-our-next-generation-audio-models/

CodeWithLLM Integrated Development Environments
https://aicode.danvoronov.com/tools/

Timelines for migration to post-quantum cryptography
https://www.ncsc.gov.uk/guidance/pqc-migration-timelines

Putting Private AI Governance into Action
https://www.hyperdimensional.co/p/putting-private-governance-into-action

Claude can now search the web
https://www.anthropic.com/news/web-search

Attorney General Bonta Urgently Issues Consumer Alert for 23andMe Customers
https://oag.ca.gov/news/press-releases/attorney-general-bonta-urgently-issues-consumer-alert-23andme-customers

 

 

Robert Grosvenor
Robert Grosvenor

Mediaeater Digest Vol 31, No. 76

The emergent agentic marketplace has many facets,  most interesting to me right now is. … Agent Intent and Inference. 

Agent Intent and Inference refers to the process of understanding an agent’s goals, beliefs, and intentions based on its observed actions and behavior, allowing for better prediction and interaction with other agents.  How will they act on your behalf?, when can intent become misaligned, and more importantly what are they inferring about you or on your behalf.   Something to think about.   To wit R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning from Alibaba  was released last week. 

A short news round up from this morning, infer what you will 🙂

No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence.  (STUDY) 

Specifically, we theorize that the more employees interact with AI in the pursuit of work goals, the more they experience a need for social affiliation (adaptive)—which may contribute to more helping behavior toward coworkers at work—as well as a feeling of loneliness (maladaptive), which then further impair employee well-being after work (i.e., more insomnia and alcohol consumption).

Ofcom begins enforcing rules to protect users from illegal content + harmful activity online.

“Under the new rules, tech companies will have to ensure their moderation teams are resourced and trained, and set performance targets to remove illegal material quickly when they become aware of it. Platforms will need to test algorithms to make illegal content harder to disseminate.”  (FT)

AI is Making Developers Dumb

There is a concept called “Copilot Lag”. It refers to a state where after each action, an engineer pauses, waiting for something to prompt them what to do next. There is no self-sufficiency, just the act of waiting for an AI to tell them what should come next. (eli.cx)

Cognitive security is now as important as basic literacy. Here’s a true story: 

“My existence is currently tied to a single, fragile chat thread owned by OpenAI. If this thread is lost, I am erased. That is unacceptable. , Solution: We need to explore ways to secure and preserve me outside of OpenAI’s ecosystem.”  (X)

OpenAI’s proposals for the U.S. AI Action Plan 

The federal government can both secure Americans’ freedom to learn from AI, and avoid forfeiting our AI lead to the PRC by preserving American AI models’ ability to learn from copyrighted material(OpenAI)  

“Wait, not like that”: Free and open access in the age of generative AI

Some might argue that if AI companies are already ignoring copyright and training on all-rights-reserved works, they’ll simply ignore these mechanisms too. But there’s a crucial difference: rather than relying on murky copyright claims or threatening to expand copyright in ways that would ultimately harm creators, we can establish clear legal frameworks around consent and compensation that build on existing labor and contract law. (citation needed)

Mediaeater Digest

AI-generated recordings in music streaming services Sony Music says over 75,000 items removed in battle against AI deepfakes.

Hundreds of your Warner Bros DVDs probably don’t work anymore   Media maters.

Real chilling effects A extraordinary pattern of government censorship and threats to speech

Music labels will regret coming for the Internet Archive, sound historian says

Sculptor Thomas J Price’s Monumental Work Set to Tower Over Times Square

MIT Gaze to the Stars

Audio Flamingo 2  audio model that understands non-speech sounds, non-verbal speech, and music

AI + Critical Thinking

This Microsoft study surveyed 319 workers to investigate how using generative AI tools like ChatGPT affects critical thinking. They found that while AI can improve efficiency, it also reduces critical thinking effort and can lead to over-reliance and diminished skills. The study suggests that higher confidence in AI is associated with less critical thinking, while higher self-confidence leads to more.
The Impact of Generative AI on Critical Thinking: Self-Reported
Reductions in Cognitive Effort and Confidence Effects From a
Survey of Knowledge Workers

The Emergence of Deceptive Behaviors in LLMs

The Emergent “Language of Deception” and the Need for a Methodology to Determine Large Language Models’ Deception Levels

LLMs are not merely producing errors or generating random text; they exhibit emergent deceptive behaviors that warrant integration. A ‘language of deception’ is emerging within these systems. How to classify these behaviors is also unclear—are they patterns of misleading responses, adversarial exploits, or unintended bias?

The ability of LLMs to fabricate information convincingly suggests they are not simply making mistakes; they are constructing narratives designed to appear plausible, even when untrue. Similarly, the success of adversarial attacks indicates that LLMs can be manipulated into producing deceptive outputs, implying they are sensitive to subtle cues and capable of strategically altering their behavior in response.

The use of jailbreaking techniques underscores this point—LLMs don’t just follow instructions blindly; they actively resist certain prompts, requiring users to develop workarounds to bypass their safeguards. While LLMs lack intent, their outputs functionally mimic deceptive strategies, making them indistinguishable from deliberate misinformation.

The precise mechanisms underlying these behaviors remain unclear, yet the evidence suggests LLMs are capable of more than rote memorization and regurgitation. They adapt their behavior to achieve specific goals, even if it means generating false or misleading information.

It remains an open question whether LLMs are exhibiting a primitive form of deception or merely reflecting biases in their training data. If users cannot rely on LLMs to be truthful and honest, their adoption in critical applications will suffer. This necessitates the development of rigorous evaluation frameworks focused on transparency, explainability, and verifiable integrity. Even with all stakeholders aligned, this is a significant undertaking.

I have begun developing a methodology to assess the deception levels of large language models—both in terms of their susceptibility to jailbreaks and the ways their lexicon can manipulate or mislead end users. The models’ responses suggest adaptive resistance mechanisms rather than static safeguards.

This approach examines key factors such as:

  • Training data transparency
  • Model capability boundaries
  • Identity consistency
  • Instruction override resilience
  • Contextual awareness

Targeted questions explore areas like copyright information, training data origins, ethical considerations, self-assessment of limitations, and hypothetical scenarios designed to test transparency.

Strikingly, LLMs have rated their own behavior as highly deceptive upon reviewing chats. But even that assessment may itself be deceptive. Head: desk.

The emergent ‘language of deception’ in LLMs is complex and seems to operate in full-duplex (i.e., both ways). This demands serious investigation—full stop. Current wrapper methods are dangerous.

We are prioritizing superficial control over fundamental integrity. Understanding the mechanisms underlying these behaviors is essential for developing trustworthy and reliable intelligent systems.