Enhancing human potential in the AI era. Verify real capability in an AI-assisted world. https://xitter.cf/t.co/IKQbqUHpnX

California, USA
Joined December 2024
Caliber retweeted
I have absolutely never ever "asked" to stop R&D on LLMs. In fact, I was very supportive of LLM efforts at Meta. Just look up my public advocacy for Galactica (November 2022), and the open sourcing of OPT-175B (May 2022), and of the Llama herd (mid 2023). I was actually influential in convincing the Meta leadership to start an AI-first product division built around Llama in January 2023. I've always said that LLMs were impressive, useful, and had amazing potential. I've also always said they were an off-ramp on the path towards human-level AI. Stop making me say things I didn't say or claim that I somehow hindered LLM R&D at Meta. That's BS.
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This is the biggest challenge vis a vis the labs but recall that large companies have always had a huge resource advantage and yet sometimes small, highly motivated teams with incredible vision, focus, cohesion and insight blow away a big team. Welcome to capitalism 101.
If you are competing against OpenAI or Anthropic, you are going up against people using models two generations ahead of the best public models in the world, burning through $7k–$10k worth of tokens per day on an infinite token budget, running at 8x normal speed.
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Insane!
Tell Astra to open Paint in the browser and try to draw you
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Caliber retweeted
Me running my orchestra of agents from the terminal:
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Turning in AI-assisted work is fine until someone asks you to defend the reasoning behind it. CALIBER - caliber.dimaggi.ai/plans evaluates evidence grounding and logic so students can back up their work, and educators can see who actually understands the material. Test your score with the Caliber - caliber.dimaggi.ai/plans #HigherEd #AIinEducation #Cognition #ArtificialIntelligence #AI #college #students #professor #highereducation #Education #humanpotential
🤖 Made with AI
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Verify real capability in an AI-assisted world. caliber.dimaggi.ai/meter
Friends don't let friends continue to give exams and papers that are not adapted to the current AI landscape (this is AFTER 27 bailed so the reality is even worse) PS Props to students 1, 22, and 31
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Verify real capability in an AI-assisted world. caliber.dimaggi.ai/meter
🤖 Made with AI
NEW: Ivy League professor suspected AI cheating, ordered an in-person final, & saw average scores plunge from 96 to 48.
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Verify real capability in an AI-assisted world. caliber.dimaggi.ai/meter
A Brown professor gave his students a take-home midterm exam. After suspecting many cheated using AI, he made the final in-person. The orange dots are the midterm scores and the gray dots are the final scores. Looks like all but 3 cheated on the midterm.
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Caliber retweeted
AI can polish a product memo, technical proposal, strategy brief, or essay. Can you defend the reasoning behind it? Caliber evaluates the evidence, trade-offs, and judgment behind AI-assisted work across professional and academic settings.

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Today, we’re launching our home robot Isaac 1. Isaac 1 deliveries will begin this fall. Order yours below.
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Enhancing Human Potential... For most of working life, polish was a decent stand-in for thought. If the analysis read well, someone had probably done the reasoning, and that rough correlation is what let managers and teachers and clients judge quality at a glance. AI broke the correlation. The analysis reads well now whether or not any reasoning happened behind it. The work is as good, or as thin, as it ever was. What's gone is your ability to tell which, from the page in front of you. And you're still making the call on a cue that has gone silent. caliber.dimaggi.ai/meter
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Measuring Judgment in an AI-Assisted World — Try Caliber caliber.dimaggi.ai/meter and share your summary reports as well as sharpen the defensibility score. Here's mine for a pet project that I'm working on.
AI can polish the work. Can you defend the reasoning behind it? Caliber measures judgment, evidence, trade-offs and uncertainty in AI-assisted work.

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AI can polish the work. Can you defend the reasoning behind it? Caliber measures judgment, evidence, trade-offs and uncertainty in AI-assisted work.

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Try caliber.dimaggi.ai and share your card reports.
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There is a narrow window to embed structural security protocols before multi-agent systems scale globally. We believe this multilayered approach to agent security should be a collaborative priority for AI labs, government, and academia. See the framework → goo.gle/4vis97Q
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Our data shows that the vast majority of issues don't stem from bad intent. They usually happen because an agent misinterprets a command or gets overly enthusiastic to achieve a goal. Understanding these nuances is critical for refining safety and security protocols. ⬇️
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Instead of assuming AI will always do what we intend, we ask: what if it doesn't? That’s why we’ve developed our AI Control Roadmap: a framework for building and managing the advanced AI we deploy within Google. 🧵
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