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Last week, a college intern named Aime went up against a humanoid robot in an 8-hour package-sorting marathon at Figure AI's warehouse and won. Barely. 12,924 packages to 12,732. | Figure's CEO Brett Adcock congratulated Aime then declared it would be "the last time a human will ever win." He also mentioned Aime's left forearm was "basically broken" by the end. Nothing says "we respect human labor" like running an intern until his arm gives out. | For what it's worth, the robot didn't need mandated meal breaks, didn't complain, and is ready to go again tomorrow. Aime, presumably, is icing his forearm and updating his LinkedIn. Congrats to Aime! Enjoy the win while it lasts. | Here’s what happened in AI today: | 😸 Spotify launched fan remix licensing, personal podcasts, and an ElevenLabs audiobook tool. 📰 DeepSeek founder declared AGI the goal as a $10B funding round advances. 📰 Apple registered genai.apple.com ahead of WWDC on June 8. 📰 Anthropic's Mythos cybersecurity model briefly appeared in Claude Code, then vanished.
| Hey: Want to reach 700,000+ AI-hungry readers? Advertise with us! | P.S: Love robots? We’re starting a new robotics newsletter! Sign up early here. | | 😸 Spotify Just Rewrote What a Music App Is Supposed to Do | Spotify held its annual investor day this week and dropped so many announcements it basically ran its own AI conference. The theme: audio isn't just music anymore, and Spotify wants to own all of it. | Here's what they announced: | Fan-made AI covers and remixes get a real framework. Spotify and Universal Music Group struck a deal allowing fans to create AI-generated covers of UMG artists' songs — with artist consent, proper credit, and revenue sharing built in. Studio by Spotify Labs is its answer to NotebookLM. The new desktop app turns your emails, calendar entries, and notes into personalized AI audio briefings and podcasts. Authors can now make audiobooks without a studio. An ElevenLabs-powered tool lets any writer turn their book into a narrated audiobook and publish it directly through Spotify with no recording equipment, no narrator required. Spotify Reserved gives superfans a concert ticket head start. Top listeners get a guaranteed buying window before tickets go on general sale.
| Here's the context that makes all of this click. Rival music streaming service Apple Music reported back in April that more than one-third of all new songs right now are fully AI-generated and yet they account for less than 0.5% of total listening time. | Millions of AI tracks. Almost nobody playing them. AI audio without a human identity behind it gets ignored. Spotify's entire investor day was a bet on the opposite. Tools that put you at the center, whether you're a fan remixing your favorite artist, a knowledge worker who'd rather listen than read, or an author who can't afford a recording studio. The UMG deal is also the first major licensing framework that actually pays artists when fans remix their work with AI. If it sticks, the whole industry will copy it. | Our take: Three announcements, three questions worth asking. | The fan remix deal sounds great in theory with artist consent and revenue sharing. Everyone wins. But the line between "fan-made AI cover" and "AI replacing artists" is thin, and the music world is already a powder keg on this topic. Spotify will need to make that distinction genuinely meaningful, not just a checkbox in a licensing agreement. Studio is interesting, but we're not sure who it's actually for. Your calendar and emails becoming a podcast sounds useful until you picture it reading you: Today's top story: your dentist wants to remind you it's been 14 months since your last cleaning. Up next: your gym membership, which you are still paying for." The signal-to-noise problem in most people's inboxes is real, and a personal podcast is only as good as the inputs. The audiobook tool is the one that stings. Voiceover artists have spent careers developing the craft of reading, the pacing, the emotion, the character differentiation that makes a great audiobook actually listenable. I tried an AI-narrated version of Machiavelli's The Prince and while it was convenient, it was also flat. Technically correct, emotionally absent. For authors who couldn't afford narration before, this opens a door. For the narrators whose livelihood it replaces? That's a harder conversation Spotify isn't having loudly enough. And Spotify Reserved, I have questions. Namely, how many hours of Taylor Swift do I need to log before the algorithm decides you're superfan enough for a ticket head start?
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Most AI drafts are fine. Fine is the danger. | As Dan Shipper argues, AI makes yesterday’s competence cheap, which means everyone can suddenly produce decent work. The problem is that decent work starts to repeat itself: same ideas, same examples, same section flow, same rhythm, same “smart” conclusion. | So today’s skill is running a Sameness Detector pass before you publish. You’re asking AI to find low-perplexity work, meaning the parts that feel too predictable. This includes repeated ideas, duplicate sections, overused phrasing, flat transitions, obvious examples, and “polished” paragraphs that add no new information. | The goal is not to make the draft weird. It’s to make it specific. Ask the AI to diversify the draft across ideas, structure, phrasing, evidence, examples, sentence rhythm, and emotional beats. | Run a Sameness Detector pass on this draft.
Your job is to find every place where the work feels predictable, repetitive, generic, or too similar to common AI output.
Audit for sameness across:
1. Ideas: repeated points, obvious claims, or concepts that do the same job
2. Structure: sections that follow the same setup, order, or argument shape
3. Phrasing: repeated words, sentence patterns, transitions, and summary lines
4. Examples: generic examples that could apply to anyone
5. Evidence: unsupported claims or proof points that feel interchangeable
6. Rhythm: paragraphs or bullets that sound too similar in length or cadence
7. Emotional beats: places where the tone stays flat, over-polished, or predictable
8. Usefulness: sentences that sound smart but do not help the reader decide, act, or understand
Then create a diversification plan:
- What should be cut?
- What should be combined?
- What needs a sharper example?
- What needs a more surprising angle?
- What needs more specificity from the audience, company, moment, or situation?
- Where should the structure change so the draft has more “perplexity,” meaning useful surprise and variation?
Finally, rewrite the draft so it feels more specific, varied, and alive without making it longer by default.
Audience:
[paste audience]
Goal:
[paste goal]
Draft:
[paste draft]
| Total AI beginner? Start here (goes with this video). | Have a specific skill you want to learn? Request it here. | | |
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Did you know we have a podcast (The Neuron: AI Explained) where we talk to fascinating people in the industry who teach us how it actually works? Check it out: |  | Click to view these episodes on YouTube! |
| New episodes air every week on: Spotify | Apple Podcasts | YouTube | | 📰 Around the Horn |  | OpenAI quietly filed its S-1 (the document companies submit to the SEC before going public) on May 22, targeting a fall debut — but Altman told staff this week that filing and actually going public are two very different things. |
| The US pushed American AI at the APEC trade ministers' meeting in China this week, with a senior State Department official telling CNBC the country is "very active in promoting U.S. AI options and solutions" across Asia as China races to build cheaper alternatives. DeepSeek founder Liang Wenfeng told prospective investors the lab's primary goal is AGI (artificial general intelligence — AI that can do essentially any intellectual task a human can), and it plans to keep releasing open-source models even as it raises its first-ever outside funding at a reported $10B valuation. Apple registered genai.apple.com, a new subdomain with no live page yet, two weeks before WWDC on June 8 — where the company has promised "AI advancements" including a long-overdue Siri overhaul, now reportedly powered partly by Google's Gemini. Anthropic's Claude Mythos, a restricted cybersecurity model that's already found 10,000+ serious software vulnerabilities, briefly surfaced inside Claude Code and Claude Security before disappearing, suggesting a wider release may be coming sooner than Anthropic has publicly said. Pope Leo XIV published his first encyclical titled Magnifica Humanitas ("Magnificent Humanity") on protecting human dignity in the age of AI, and presented it personally alongside an Anthropic co-founder at the Vatican.
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😹Monday Meme |  | POV: Aime after beating the Figure AI robot by 192 packages. |
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