the capital market is atm the only thing that seems to work – hope trump doesnt break it :/
BUSINESS
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Investment Focus in AI: Beyond Building to Investing
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he isnt talking building hes talking investing
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California’s tech exodus and workforce implications
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The Golden State is cooking its golden geese, but what happens when they are all cooked and eaten or have left? Then they come for the people.
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Family Offices and Business Leaders Shape Government AI Policy
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thats just defeatism talk family offices and people who run successful companies is the main thing governments listen to
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European Bank Fundraising Challenges for Startups
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you tried to fundraise for your startup from banks?
wat maybe that fail was more of a you not a europe problem? -
AI Isn’t Superhuman—It Just Beats Our Mediocre Status Quo
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I think there’s a misconception about how AI will break and change things. The Mythos hype has convinced people that AI is about to be so advanced that it can overcome our great cybersecurity defenses. It’ll creat new zero-days and use them to attack everything. And that it’ll be so smart that it can out-innovate our brilliant companies and genius human workers. So it’ll replace hundreds of thousands of companies and millions of workers by exceeding their quality. I think that’s wrong. The reality is that most companies are very poorly run. And their human workforces are extremely mediocre. The company vision isn’t clear. It’s hard to sell the product. And most of the workforce just tries to do as little as possible to earn their pay. And it’s been this way for decades. The only reason existing companies and workforces have survived this long is because most of their competition is just as bad. With cybersecurity, it’s not that everyone is so secure and there just aren’t any attackers smart enough to bypass their defenses. Most companies are actually easy for an a decent attacker to breach if they applied their focus and attention for a few days or weeks. So, people in general, including most people in AI, are thinking that human companies and workforces and cyber defenses are at 9.5/10. And Mythos is a 9.7 out of 10! In fact our current state of running everything, from companies to cybersecurity, is more like a 3/10. And AI for running a business, doing knowledge work, and attacking companies, is about to come in at a 5. Or a 6. And then a 7. But with the crucial difference that the 5 can be spread and scaled across the entire internet/world very quickly. A 9 attacker in 2019 could only hit very few companies. A level 9 attacker can now/soon build a level 7 AI Harness to smash millions of companies that have level 3 defenses. And it’s the same with human worker replacement. An AI that’s competency level 7 at doing general knowledge work isn’t all that impressive. But it’s revolutionary if it’s going up against level 5 human workers who are costing the company 20x what they’d pay for the AI. My takeaway and recommendation: Don’t think of the current state of things as a 9 that needs a level 10 AI to surpass it. As a species, we’re at a 3. In most things. It’s rather a miracle anything works at all. And here comes AI at a 5. 5 isn’t great. It’s weak and flawed too. But it CRUSHES a 3. And this is the worst version it’ll ever be. Maybe it’s a 6 in 2027. Or an 8 in 2029. Who knows what those numbers would ever mean. But humans took thousands of years to go from 1 to 2, and then centuries to go from 2 to 3. So humans aren’t going suddenly jump to a 6 to counter AIs at a 5. This is why we should take AI a whole lot more seriously, in general. It’s not competing with the best of us humans, or the best us humans can offer. It’s competing with what we have been able to piece together so far: which is a hobbled-together and fragile mess. It’s not 9.5 vs 9.7. It’s 3 vs 5/6/7.
→ View original post on X — @scobleizer, 2026-04-11 20:39 UTC
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MIT Sloan Review: Latest Developments in Artificial Intelligence Applications
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Putting #AI to work: The latest from MIT Sloan Management Review by Brian Eastwood @MITSloan Learn more: bit.ly/41gLQzI #MachineLearning #ArtificialIntelligence #ML
→ View original post on X — @ronald_vanloon, 2026-04-11 19:49 UTC
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Claude Code Quality Decline: AMD Director Reports Rising Laziness Issues
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AMD’s AI director Stella Laurenzo claims Anthropic’s Claude Code has significantly declined in quality since early March, citing analysis of 6,800+ sessions and 234k tool calls showing rising “laziness” behaviors like shallow reasoning, skipping code review, and incomplete tasks. Honestly, this is more impactful than expected, engineers report the model now favors quick, incorrect fixes over deep problem-solving, raising trust issues for complex workflows.
→ View original post on X — @kimmonismus, 2026-04-11 19:42 UTC
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Uber IP Dispute: Tech Company Accuses Use of Core Intellectual Property
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Wow. My understanding is that Uber uses our core IP regularly. Coming from you this defamatory. I ask that you retract it.
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AI Agents Scaling Challenge: Data Foundation Gap
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McKinsey reports: Nearly 2/3 of enterprises are experimenting with AI agents…
…but fewer than 10% have scaled them to deliver real, tangible value. That’s not a tooling gap. It’s a data foundation gap. Across industries, the pattern is clear:
•Rapid experimentation with