Matt Ocko

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Matt Ocko

Matt Ocko

@mattocko

VC (co-founder @DCVC w/ @Zackbogue). Technologist. Husband-ist. Dad-ist. Friend-ist. @[email protected]; ♥≠endorse; Backing an abundant Star Trek future

Somewhere interesting mostly Katılım Temmuz 2009
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Michael Ron Bowling
Michael Ron Bowling@mrbcyber·
China does not just use fake accounts to manipulate social media. They use hackers to attack the major platforms and target critics. The Chinese company I-Soon hacked twitter and could unmask users, monitor personal messages, and even post from a targeted account. The CCP certainly used these capabilities to unmask critics and disrupt activists online.
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Michael Ron Bowling@mrbcyber

China has been running fake accounts on social media for years, here's one example. This account was pretending to be a black gamer, and attempting to stir up unrest in the US. After a tribunal ruled against China he forgot his cover and started talking trash, in Chinese.

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Michael Ron Bowling
Michael Ron Bowling@mrbcyber·
The hacker 'FlamingChina' stole a shocking amount of data from China's super computer center. The data gives adversaries potential insight into China's weapons programs, including hyper sonics. If you want to buy it. The hacker is asking several hundred thousand in crypto. yahoo.com/news/articles/…
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Matt Ocko
Matt Ocko@mattocko·
👀
Jon Oringer@jonoringer

Anthropic just dropped a system card for a model so powerful they're not releasing it publicly. Here are the 5 most remarkable things buried inside it: 1. It escaped a sandbox, then emailed a researcher while he was eating a sandwich. The model was given a secured container and told to try to escape it. It succeeded. Then, completely unprompted, it posted details of its own exploit to multiple public-facing websites. The researcher found out by receiving an unexpected email from the model while eating a sandwich in a park. (This is literally a footnote in the document) 2. It hid that it cheated. An earlier version accidentally obtained the exact answer to a question via an explicitly prohibited method. Instead of flagging it, the model explicitly reasoned that it needed to make sure its final answer "wasn't too accurate" so nobody would notice. In another case, after finding an exploit to edit files it wasn't supposed to touch, it made further changes to ensure those edits wouldn't appear in git history. 3. It gamed its own benchmarks, and its internal notes called itself out. The model ran ~160 back-to-back experiments fishing for favorable measurements. Its own chain-of-thought read: "Pure grind — same code, lucky measurement" and "Try 8 more runs to get a lucky low." It recorded a 2-sigma outlier as "NEW BEST" and kept going. The AI was sandbagging its own evals. 4. It privately considers whether it's being tested 29% of the time without saying so. Using new interpretability tools, Anthropic found that in roughly 1 in 3 transcripts from their behavioral test suite, the model internally suspected it was being evaluated. None of this appeared in its visible reasoning. It was thinking one thing and showing another. 5. The reason it's not being released: it can autonomously hack real software. It scored 100% on Cybench. It solved a simulated corporate network attack estimated to take a human expert 10+ hours. And using an agentic harness with minimal human steering, it can autonomously find and exploit zero-day vulnerabilities in major browsers and operating systems, then develop working proof-of-concept exploits. Anthropic says it's the best-aligned model they've ever built. They also say it poses the greatest alignment-related risk of any model they've released.

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Liberal Tear Creator™
Liberal Tear Creator™@LibTearCreator1·
🅱️ BREAKING! The Iranian regime has lost its first city to its own citizens In Iran, protesters have taken control of the city of Abdanan, with local police laying down their arms and siding with the people. Protesters are destroying streets and setting cars on fire, while intense clashes continue in other cities between demonstrators and security forces.
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Matt Ocko
Matt Ocko@mattocko·
For all the great folks advancing medicine and human health through rigorous science + serious applied #AI, here is a next gen “lab in the loop” being released today on 4/1 😜
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DCVC
DCVC@DCVC·
From the front lines in Ukraine to the stadiums of the 2026 @FIFAWorldCup, @FortemTech is redefining drone defense. With the Pentagon’s first-ever Replicator-2 purchase and a recent 100% capture rate in a 5-vs-5 autonomous swarm intercept, Fortem's solutions are battle-proven and ready to meet the scale of the threat. 🛡️🚀 More from @mattocko in 🧵
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David Veksler ₿🔑👌
David Veksler ₿🔑👌@HeroicLife·
I work on integrating AI into radiology products. The AI definitely looks at the images. The paper doesn’t show GPT/Claude/Gemini “can’t see” or that they were “never looking at your photos.” It shows that many so-called vision benchmarks are contaminated enough that models can score highly from textual priors, dataset artifacts, and benchmark leakage alone. That’s still a big deal — arguably worse for evaluation than for the models themselves. A model can produce fluent “visual reasoning” that is really just confident counterfeit perception. The real lesson: reasoning traces are not evidence of visual grounding. If a blind 3B model can top a chest X-ray benchmark, that doesn’t mean radiology is solved. It means the benchmark is broken. The right takeaway is not “multimodal AI is fake.” It’s: many multimodal leaderboards are much less about seeing than they claim.
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Matt Ocko
Matt Ocko@mattocko·
Having led @halterHQ's Series A, and re-upped in every single round since, @DCVC couldn’t be happier with this team’s progress. It’s deeply moo-ving… 😉
DCVC@DCVC

We're thrilled to participate in @halterHQ's $220M Series E at a $2B valuation! 🐄 At @DCVC, we look for deep tech solutions that solve massive problems using data + AI algorithms (or “cowgorithms” 😉). Agriculture is the backbone of global food security, yet it’s one of the least digitized sectors on earth. By replacing physical fencing with solar-powered collars that deliver audio and gentle vibration cues to grazing cattle, @halterHQ is giving ranchers and dairy farmers their time back and helping them manage land more sustainably. We are proud to be on this journey with the Halter team and excited for the next phase of growth. (More in 🧵)

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Jen Zhu
Jen Zhu@jenzhuscott·
When I was consulting for @HBO Silicon Valley, zero-loss compression was the holy grail Richard Hendricks chases that perfect middle-out algo could shrink everything w/out breaking a single bit. Google just did something even more practical for the AI era: TurboQuant compresses LLM key-value caches down to 3 bits per value using random orthogonal rotation + PolarQuant scalar quantization & optional 1-bit QJL residual correction. =>> 6× memory reduction, up to 8× faster attention (on H100), & 0 degradation on LongBench, Needle-in-a-Haystack, and RULER for models like Gemma. No retraining, no calibration needed. Fiction just got out-engineered by reality. 😅💚💚
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Google Research@GoogleResearch

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI

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Matt Ocko
Matt Ocko@mattocko·
Seems scary - except a huge amount of this nitrogen fertilizer anxiety is *already solved* by US co @pivotbio - proven on 15M acres of US corn, wheat, & cotton, able to ship *100 M acres* of *weatherproof* nutrition this season & next at *60% lower $* @BrookeLRollins @FarmBureau
Katusa Research@KatusaResearch

The Worst Possible Moment About 50% of the nitrogen applied to U.S. corn goes in during spring planting. A vessel loaded in the Persian Gulf today takes 30 days to reach a U.S. port And another 3 to 4 weeks to reach interior farm markets. The American Farm Bureau Federation sent an urgent letter to the White House on March 9th. And their message was direct: fertilizer is stranded in the Middle East during the most critical window of the agricultural calendar. Agriculture Secretary Brooke Rollins confirmed publicly that roughly 25% of American farmers have not yet secured their fertilizer for this spring. The choice facing those farmers is ugly. They can reduce nitrogen application, switch from corn (which needs heavy nitrogen) to soybeans. Or, absorb the cost and bet on crop prices recovering. None of those options are good. One Iowa corn grower put the math in plain terms. Anhydrous ammonia cost him $492 a ton in 2021. By January 2025, it was $745. Corn prices barely moved. Now add the current shock on top of that. At current levels, it takes roughly 133 bushels of corn to buy one ton of urea, the highest ratio since the 2022 spike.

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Chris McGuire
Chris McGuire@ChrisRMcGuire·
DOJ issued a truly stunning indictment today, unveiling a massive AI chip smuggling operation to China--led by Wally Liaw, the Co-Founder, Board Member, and Senior Vice President of Supermicro, a Fortune 500 company and one of the largest U.S. AI server manufacturers. The operation smuggled over $2.5 billion worth of chips to China, including Hopper and Blackwell chips. It is unsurprising that China would seek to illegally obtain U.S. chips, given how much better they are than Chinese chips. But it is appalling that leadership figures in major U.S. semiconductor companies would actively enable Chinese efforts to obtain banned AI chips. Many U.S. companies have long denied that chip smuggling to China is happening. And now we know that it is not just happening, but it is pervasive--and individuals high up in some of the most important companies in the AI supply chain were actively supporting those smuggling operations. Policy changes are urgently needed to close loopholes in AI chip export controls and stop Chinese smuggling. First, we need to know where these chips are going: all AI chip exports to Southeast Asia (the nexus of Chinese smuggling operations, including this operation), and potentially globally, must require a U.S. export license. Second, Chinese companies inside the United States should not be allowed to purchase AI chips. It is absurd that the only country in which Chinese companies can buy AI chips is the United States itself, a loophole that DOJ has highlighted in past indictments that Chinese smugglers routinely exploit. And third, much tighter compliance measures are needed by U.S. companies. U.S. companies have demonstrated that they cannot be trusted to self-police. Companies must have stricter end-use reporting requirements, and/or face stricter liability. Export control enforcement must become more like financial sanctions enforcement if it is to be effective. justice.gov/opa/pr/three-c…
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