I am ranking those releases against each other btw, since they’re the recent ones everyone has been asking about. This isn’t an overall ranking except for Kimi being the current SoTA Opensource model.
AI
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Babinet contradicts: Fable used by millions
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La première minute de Babinet est un concentré de carabistouilles :
— m_ric (@AymericRoucher) 15 juin 2026
"Mythos [Fable] n'est utilisé que par quelques très rares entreprises"
-> Babinet vit dans une grotte? Des centaines de millions d'utilisateurs ont pu essayer Fable, dans le chat ou dans Claude Code.
"on est… https://t.co/82NaoKXcVKThe first minute of Babinet is a concentrate of nonsense: "Mythos [Fable] is only used by a very few rare companies"
-> Does Babinet live in a cave? Hundreds of millions of users have been able to try Fable, in chat or in Claude Code. "we are -
Launch of AI Screen Recorder That Edits Videos Alone
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HAN LANZADO UN GRABADOR DE PANTALLA QUE EDITA TUS VÍDEOS SOLO
— Nico (@nicos_ai) 15 juin 2026
Se llama @FocuSeeHQ y la IA hace todo lo que antes te comía horas:
→ Zoom automático que sigue cada clic sin configuración
→ Movimiento 3D cinematográfico del cursor
→ Elimina “ehs” y silencios automáticamente
→… pic.twitter.com/x7pmUW2qxhTHEY LAUNCHED A SCREEN RECORDER THAT EDITS YOUR VIDEOS ALONE It's called @FocuSeeHQ and the AI does everything that used to eat up hours: → Automatic zoom that follows every click with no setup
→ Cinematic 3D cursor movement
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AI Instantly Checks Avocado Ripeness, No Guessing Needed
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No More Guessing: #AI Checks Avocado Ripeness Instantly
— Ronald van Loon (@Ronald_vanLoon) 15 juin 2026
by @HowThingsWork_#ArtificialIntelligence #MachineLearning #ML #Technology pic.twitter.com/Ud6XlChi4RNo More Guessing: #AI Checks Avocado Ripeness Instantly
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Open source models sufficient for daily life, but nations worry
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Good question. I wouldn't say "pissed off." It does worry me, yes. But we need to differentiate. Open source and local models will become so good in the next 6-12 months that they'll be sufficient for everyday life and the workplace. However, if it's a case of some nations
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Homogeneity in LLM training: same evals, data, distillation
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When everyone uses the same evals, data, distillation and vendors to train LLMs. Courtesy of: https://
arxiv.org/abs/2512.15567 -
Satya Nadella argues AI needs human intuition to be effective
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Will AI replace human intuition?
— Charly Wargnier (@DataChaz) 15 juin 2026
Satya Nadella argues the exact opposite today.
He makes a compelling case that without human direction, AI is just compute running in circles ↓ https://t.co/E2d93tRZbY pic.twitter.com/njEic2cbzcWill AI replace human intuition? Satya Nadella argues the exact opposite today. He makes a compelling case that without human direction, AI is just compute running in circles ↓
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Coding intelligence reduces bugs; ds4 engineering is great
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IMO for coding you want ad much intelligence as possible to ship better code with fewer bugs. ds4 is great engineering tho.
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Comparing token count to coding, can use Sonnet-class model
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compared to coding these are very few tokens, and you can even use a Sonnet-class model (= gpt 5 mini)
