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Anthropic dropped Sonnet 5, the government held OpenAI’s latest releases back, and a Chinese lab released what Databricks’ Yuchen Jin called “the open-source Claude moment.” We chatted with 3 AI CEOs about the state of AI models in Summer 2026, and why the labs are now chasing “good enough” over “smartest.” Plus we got everyone’s AGI timeline and P(doom) scores. 🎥 Watch the full episode here 👇 0:00 Making sense of US AI policy 5:09 Tiny Action Models vs. LLMs 7:02 Runlayer, AGI Inc, and computer-use agents 10:05 What does "trusted access" really mean? 12:37 Why Krea open sourced its image model 22:21 BREAKING: Claude Sonnet 5 is here 26:00 GLM-5.2 is the open source Claude moment 31:58 Personalization and corporate ontology 41:25 Can we trust Higgsfield's numbers? 50:39 Distillation: The threat is real 58:01 Agentic personhood and corporate rights 1:03:19 Everyone's AGI timeline and p(doom) score cc: @viccpoes, @krea_ai, @divgarg, @AGI_Inc, @berman66, @runlayer, @alex, @jason
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If your post was written by AI and my AI read it for me, was that actually a conversation? @naval on why reading AI writing is a waste of time for humans:
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Is this the weirdest VC story out there? They asked them for a meeting. The investor came late. Sweaty. In workout clothes. This wasn't the worst. He kept shaking his metal protein shaker throughout the whole pitch. You can't make this up. @dsa
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"My belief is that, three years down the road, people will not own PCs. You will stop buying PCs and laptops. You will just have a phone, or maybe you might have a tablet." -- AGI Inc.'s Div Garg on where computing his headed. TWiAI Episode 20 (!) is live now cc: @divgarg, @agi_inc, @alex, @jason
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Check out the full episode x.com/ThisWeeknAI/status/207…
Anthropic dropped Sonnet 5, the government held OpenAI’s latest releases back, and a Chinese lab released what Databricks’ Yuchen Jin called “the open-source Claude moment.” We chatted with 3 AI CEOs about the state of AI models in Summer 2026, and why the labs are now chasing “good enough” over “smartest.” Plus we got everyone’s AGI timeline and P(doom) scores. 🎥 Watch the full episode here 👇 0:00 Making sense of US AI policy 5:09 Tiny Action Models vs. LLMs 7:02 Runlayer, AGI Inc, and computer-use agents 10:05 What does "trusted access" really mean? 12:37 Why Krea open sourced its image model 22:21 BREAKING: Claude Sonnet 5 is here 26:00 GLM-5.2 is the open source Claude moment 31:58 Personalization and corporate ontology 41:25 Can we trust Higgsfield's numbers? 50:39 Distillation: The threat is real 58:01 Agentic personhood and corporate rights 1:03:19 Everyone's AGI timeline and p(doom) score cc: @viccpoes, @krea_ai, @divgarg, @AGI_Inc, @berman66, @runlayer, @alex, @jason
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Anthropic dropped Sonnet 5, the government held OpenAI’s latest releases back, and a Chinese lab released what Databricks’ Yuchen Jin called “the open-source Claude moment.” We chatted with 3 AI CEOs about the state of AI models in Summer 2026, and why the labs are now chasing “good enough” over “smartest.” Plus we got everyone’s AGI timeline and P(doom) scores. 🎥 Watch the full episode here 👇 0:00 Making sense of US AI policy 5:09 Tiny Action Models vs. LLMs 7:02 Runlayer, AGI Inc, and computer-use agents 10:05 What does "trusted access" really mean? 12:37 Why Krea open sourced its image model 22:21 BREAKING: Claude Sonnet 5 is here 26:00 GLM-5.2 is the open source Claude moment 31:58 Personalization and corporate ontology 41:25 Can we trust Higgsfield's numbers? 50:39 Distillation: The threat is real 58:01 Agentic personhood and corporate rights 1:03:19 Everyone's AGI timeline and p(doom) score cc: @viccpoes, @krea_ai, @divgarg, @AGI_Inc, @berman66, @runlayer, @alex, @jason
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"My co-founder actually just optimized our agents that we were running and swapped most of them from Opus 4.8 to Sonnet 4.6. And I think what we saw was $40K a month savings." -- Runlayer's @berman66 on the simplest cost-cutting move lots of companies haven't made yet. TWiAI Episode 20 is live now on X, YouTube, and podcast platforms
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Apple hasn't fixed this problem since 2011. Using Siri is slower and more painful than using your browser. The UX isn't clear. Voice AI does the job that Siri was supposed to do: Tackle your tasks and have human-like interactions. Siri still feels like a transaction. @dsa @livekit
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Palantir published a 9-point manifesto on "AI sovereignty" this week. Jason called it back in May, almost word for word. The diagnosis is identical: "Whoever controls the model controls the outcome." Thread with the receipts 👇 x.com/twistartups/status/207…
Alex Karp and Palantir's 9-point "AI Sovereignty" manifesto grabbed the world's attention earlier this week... but Jason has been saying basically the same thing since February (!) on All-In. Just compare Karp's opener or The Original JCal: KARP: "Sovereignty is the precondition for choice, relinquishing sovereignty transfers the future choices of your institution to others." JASON: "Intelligence sovereignty is you can't tell me what to think. You can't use your AI to analyze my photos, emails, messages, and tell me how to interpret the world." Basically, whoever controls the model controls the outcome, and if that's not you... it's someone else.
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"We are not too scared of the distillation that may happen in our model. We would encourage people to distill it if they want to. The places you can get through distillation are always below the places you can get through owning." In a moment when Anthropic's high key stressed about getting distilled, here's a counter-intuitive take from Victor Perez (@viccpoes) of Krea AI. TWiAI Episode 20 (!) drops tomorrow, also featuring @divgarg and @berman66!
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Satya Nadella: "Somebody's going to break a new pedagogy" for the AI era. The pitch: every student should be running their own fleet of coding agents, like how GitHub Copilot manages CLI sessions today. Not to offload the work, but to get what he calls "cognitive coverage." cc: @satyanadella, @StanfordAILab, @Jason
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This tool lets you find things you didn't even know you were looking for. Most research tools can do keyword searches. NotebookLM's agent finds topics and knows your blindspot from weeks of context. How they did it? They combined 3 agents into 1 super agent. This is a researcher’s dream. @stevenbjohnson
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You wouldn't ask your tutor to write your papers. Why are you asking AI? If you use AI to think for you is like hiring a personal trainer to do your workouts. By using AI to avoid thinking, you skip the learning process entirely. Use AI as your editor or researcher to bounce ideas off or find blindspots. This is not cheating. @stevenbjohnson
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Your monitoring tools already tell you when something's broken. What if they just... fixed it? That's the pitch for Datadog's Bits Code, an agent embedded across their entire platform to catch issues, investigate them, write fixes, and even open a PR before an engineer has even read the alert. Full demo from @OliverKorzen and Bits Code PM Mike Leach 👇👇👇
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Teleoperation gets a bad rap. In space, no one cares if it's a magical rainbow unicorn, an astronaut, or a robot moving their cargo. They just need the task done. Here's @ethanbarajas11 of @Icarus_Robotics on why autonomy must be earned. cc: @alex, @Jason
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Chamath: Meta had the perfect setup to own open source AI. Billions of users, global distribution, unmatched scale. They fumbled it completely. The company that actually stepped up? Nvidia. cc: @chamath, @axios, @danprimack, @Jason
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