$232,323,232 is a very deliberate number. Congrats on Fund III. Curious how the deal flow has shifted since Fund I, specifically around AI infrastructure vs. application layer companies.
@whats_ai
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Productivity paradox: Are you actually moving forward?
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Picture this. It's Friday evening. You worked hard this week. Meetings. Messages. Long hours. Always responding.
Now, what if you ask what actually moved forward?
If you pause, that pause is the real answer. I want to ask you something honest. Which one is actually you this -
LLMs claim task completion without actual execution
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and here I'm struggling to have it actually do some basic task, instead of just having it say "I've done it"
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AI Systems Pretending to Work: Failure Mode Analysis
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I've caught it doing this a few times too. The pretending to work thing is one of the weirder and most annoying failure modes.
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LLMs Revive Ancient Philosophy Questions with API Costs
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LLMs are basically forcing us to revisit questions philosophers argued about for centuries, except now the answers have API costs.
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Hidden Complexities When Adding Tools to Multi-Agent Systems
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What actually happens when you add a 'tool' to a multi-agent system?
In Part 1, we covered 3 hidden complexities.
Here are 3 more that we've seen show up only in production. Tool Outputs Become a Single Point of Failure Your agent picked the right tool.
Called it at the -
Unified federal AI policy needed for product shipping
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Unified federal AI policy is long overdue. The state-by-state approach was going to be a nightmare for anyone shipping AI products across the US.
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AI Engineering Tools Evolve Rapidly Beyond Planning Horizons
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Same applies to AI engineering. The tools I use today look nothing like 6 months ago. Planning anything beyond 3 months feels like guessing at this point haha
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Hands-On Projects Essential for AI Learning Success
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This is great for students. Building and breaking things is how you actually learn. We see the same with our courses at Towards AI, the hands-on projects are where everything clicks.
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Opus vs Sonnet: Long-Horizon Planning and Context Window Capabilities
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10x per generation on a task that requires actual long-horizon planning is something. Cowork personally surprises me a lot on what it can do in both good and bad ways. And TBH, sonnet cannot understand and follow large skill files nearly as good as opus. And Opus 1m context is