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https://nitter.cf/t.co/NCqeSNOZ52 prev. @axiom_xyz @omodotso @eiventurestudio

nyc
Joined June 2018
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grace retweeted
We raised $2.2M to build Mio, your best hire yet Last week, Mio gave our team back >130 hours Led by @caseykcaruso at @topology_vc & @windychester1 at @fabric_vc Get started for free at mio . xyz
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One thing to do today… search my name on Google 😉
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🚨Kate officially diagnosed with endometriosis > done without surgery > across three modalities: imaging, blood, and AI > all non-invasive > in 42 days For context, average time to diagnosis is 6.6 years. And, we found 2 other diagnoses at the same time. Over the past 6 weeks, we’ve sprinted to confirm or deny Kate’s suspected endometriosis. Endo is notoriously challenging to diagnose. It’s one of the most gnarly diseases and affects 15% of women. Men, to get you on the same page, having endo is akin to an alien growing in your guts and balls, self replicating, and glueing everything together. Causing you constant pain and discomfort. We got to work. > got an MRI > got a transvaginal ultrasound > both results came back negative At this point, Kate’s patient journey had followed the archetype precisely. Most women don’t get diagnosed for 7-10 years. For Kate, it’s been 7 years. And, like most women, her imaging came back clear even though now we know that she has endo. This is why diagnosis has traditionally happened via surgery. There has been no other way than to open her up and look inside. We wanted to avoid surgery so we went back to the drawing board. We searched the world over. On our second go, we did: > endo-specific ultrasound > an endo blood test > AI MRI > saliva test This was successful. We were able to confirm her endo via ultrasound, blood test, and MRI. Confirmed simultaneously by three unique modalities, as far as we know, a world-first approach. The extensive measurement allowed us to find additional things. Her ultrasound showed: > endometriosis > PMOS (formerly PCOS) (needs confirmation) > adenomyosis 30-40% of women have at least one of these conditions. That’s intimidating especially when the path to diagnosis is fraught with so many challenges. Phase I was getting a diagnosis. Phase II is curing endometriosis. We’ve already started working. If you’re a female with suspected endo, here’s what you can do to accelerate your diagnosis. — 1. Endo-Specific Ultrasound You want an endo-specific ultrasound. As we saw with Kate, a standard pelvic/transvaginal ultrasound failed to identify her endo. You want the ultrasound to be performed by a physician or sonographer specifically trained. They follow a special protocol to hunt for endometriosis by mapping the ovaries and uterus, and testing whether organs can slide freely, or are tethered by endometriosis lesions. It’s best timed just after ovulation, when a small amount of peritoneal fluid aids visualization. It can detect superficial endometriosis, lesions, and adenomyosis that general imaging misses. We went to Dr. Kacey Hamilton at Cedar Sinai. 2. AI MRI / MatricesAI Radiologists miss lesions in up to 60% of cases. We worked with @MatricesAI which leverages AI and a unique dataset to detect endometriosis lesions on pelvic MRI. This model is still new, its first pilot study with 200 participants began in April this year. Here is how you can work with them: They’re opening their diagnosis program at the Geneviève Institute to give early access to their AI model in a clinical trial. They will take you through a state-of-the-art clinical intake questionnaire. Help you advocate for your symptoms with your gynecologist, based on your intake or connect you to a new center where their AI is being piloted and the clinical trial conducted. 3. Blood test / HerResolve Kate had two small tubes of blood drawn for a test built by @Heranovalifesci. The test measures seven biological markers (three microRNAs, three proteins, and one hormone) and uses an AI model to help detect endo. It was highly accurate in its validation study at confirming endo and caught most cases that ultrasound and MRI had missed. Their technology has been validated in a peer reviewed study (298 women, 11 sites across US/Europe/Hong Kong, published in the Journal of Minimally Invasive Gynecology): specificity 97.5%, sensitivity 80%, with strong diagnostic performance (94.4%), demonstrating it was highly effective at distinguishing women with endometriosis from those without the disease. A positive result is a strong signal, since only 2.5% of women without endometriosis test positive, though final confirmation is still clinical. A negative is less conclusive, because the test misses about 20% of true cases. The test identified 61.5% of histologically confirmed cases that transvaginal ultrasound and/or MRI missed. # We did one more saliva based test and will report back on that when results are returned.
Examining Kate’s 1% She has suspected endometriosis. This affects at least 1 in 10 women, likely more. Here she’s getting an ultrasound. Historically you needed surgery just to diagnose it (incisions are made in the abdomen). We're doing a non-invasive route. Typically women live with endometriosis for 7-10 years before being diagnosed. It’s the leading reason women aged 30 to 34 get hysterectomies (permanent surgery to entirely remove the uterus). This condition is where endometrial-like tissue starts growing outside the uterus, in ovaries, bowel, bladder, even the diaphragm. This tissue inflames, scars, and glues organs together. Our first step is to find out if @_katetolo has it. Initial measurements we’re doing: + trans vaginal ultrasound + pelvic MRI w and w/o contrast + hormonal labs All during the early part of her cycle to get the clearest picture. During her ultrasound, a slim probe, about the width of two fingers, 10-12 inches long (although only a small portion is inserted) is covered with a protective sheath and lubricant and gently inserted into the vagina (patient has to empty their bladder first). This creates real-time images of the uterus, ovaries, and surrounding pelvic structures. While inserted, the probe is turned 90 degrees to evaluate all the various structures, angles and views. There is no radiation exposure. The technician is looking for scarring, ovarian cysts, adhesions, and for organs that are fused together with tissue. This ultrasound can confirm endometriosis but it cannot rule it out. What endo does to the body: + 90% report pelvic pain + 50% report severe fatigue + 26% report infertility. However many sources cite 30 to 50 percent. + 50% experience pain during sex. + Many have pain with ovulation, bowel movements, and urination + Severe bloating called “endo belly” where the abdomen visibly distends There are a handful of theories about why endometriosis develops but the honest answer is no one is quite sure. We’ll keep you posted on her results.
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Over the years @trailofbits has become a household name in cybersecurity. In this conversation with Trail of Bits' founder @dguido, we dive into the complete journey, from how they got started, to nearly going out of business during the government shutdown, to becoming a well respected pioneer in the industry. We also touch on a variety of other topics, from Lazarus Group's activities to the impact of AI on cyber from both an offensive and defensive perspective. Timestamps: (0:00) Intro (0:23) Altitude (1:14) What is Trail of Bits and how did it get started (6:49) Dan's upbringing and developing a passion for computer science and hacking (16:25) Working at the NSA (22:51) North Korean hacks on crypto (28:22) The incident response team at the Fed (33:05) The motivation behind Trail of Bits, and DARPA's role (47:23) Starting Trail of Bits (58:22) Government shutdown, losing all revenue, and surviving with 1 paycheck (1:04:36) Hiring people for mastery and building a high agency team (1:15:34) Bitcoin post-quantum cryptography (1:20:12) The culture and expectation at Trail of Bits (1:38:42) Mythos and AI's role in cybersecurity (2:05:48) San Bernardino iPhone incident, and Dan's proudest moments (2:12:12) Learning to become a CEO (2:19:59) Peiter "Mudge" Zatko
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I built @wargame_esq to explore how adversarial AI agents might improve contracts and help contract lawyers do their jobs better. As of today, anyone with an OpenAI or Anthropic API key can try out the demo at wargame.esq.
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Replying to @cblatts
this is very "Seeing like an AI" in that most of the work here is about making your workflow "legible" to chatbots, especially the informal and messier aspects.
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A little peek at my app Augustus, which is a local-first toolkit for contract review.
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Over the past week, I've installed and set up many "claw" variants. Some observations: 1. There's a pent-up, unaddressed desire on the part of managers to augment their work with scheduled AI prompts. 2. Current solutions either require yolo root access to the host device, or are hamstrung by available containers/sandboxes. 3. Manager-users want to prompt agents via their chosen messaging platforms—slack, WhatsApp, etc. 4. 99% of what manager-users want to do with AI is analyze messages in email, slack, etc. Their main concern seems to be wrangling unstructured "data" about ops from messaging streams. 5. I didn't find any claw variants that worked well enough. Instead, I found it more useful to integrate messaging platforms, cron, and durable task queues into my existing agents. I had already built an agent harness with business/domain guidance and tools for executing read-only SQL against unified data. My agent uses whichever LLM the user selects via Vercel AI Gateway. 6. Agent interactions in Slack are not good UX. There's no good way to communicate async activities like tool calls while they're happening. Slack also can't render markdown responses. 7. Other popular messaging platforms are also problematic, but each in their own way. This means that agent outputs have to be constrained to the lowest-common-denominator of response rendering. 8. In terms of UX, nothing beats agent interactions in a well-made web app.
I’ve been pondering the mystery of who all these OpenClaw users are. Techies aren’t interested due to its security issues and general potential for non-deterministic chaos, and non-techies would never ever bother with the complicated and intimidating setup. So who’s buying all these Mac minis?! Now I understand: the OpenClaw user base is people who are spiritually non-techies, but who, for political or image reasons, feel they have to pretend otherwise
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I'm just quietly waiting for branded skills.md to be the next iOS App Store.
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grace retweeted
🧵 We’re building a ClawdBot plugin for autoHODL that saves every time it spends. Think: agent → purchase → automatic savings with Aave. We’ll share the journey. First step is getting infra up 👇
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Great episode. Ethan is a fantastic founder. When we started using Allium, Ethan and his team were immediately responsive and collaborative. Super knowledgeable, hard working, and high standards.
For our second episode, I sat down with @ethanyish, founder of @AlliumLabs, which is the data platform serving the most important crypto companies today. Ethan is incredibly thoughtful, and Allium's journey is a a case study of how to build a B2B crypto company that customers love. We dive into Ethan's upbringing, what acquiring the initial customers looked like, and the nitty gritty of crypto data. Timestamps: (0:00) Intro (0:25) Altitude (1:15) Getting engaged in Argentina (4:43) What Allium is (9:44) Upbringing in Singapore (19:08) Working in AI before crypto (30:05) What starting Allium was like (39:53) Building through the bear market (43:05) Managing Allium’s internal infra (48:04) Scaling Allium, mistakes, and customer acquisition (52:28) Allium’s customer centric culture (55:31) AI strategy at Allium (1:09:31) Future of token distribution
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grace retweeted
what susan sontag wrote about great writers. I agree with her
i think it’s more important to have good taste than to be a good writer, and my qualms with most arts writing, be it academic or not, is that i feel like the author does not have good taste. their lack of curiosity—their crowdsourced interests—just makes the writing meaningless.
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We are working closely with teams across the ecosystem to tailor and implement ZK for their applications using OpenVM and deploy with the Axiom Proving API. If you are interested, get in touch at: chat.axiom.xyz Or read the full announcement at: blog.axiom.xyz/axiom-api-bet…
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We're excited to announce the Axiom Proving API private beta, supporting: * larger proving jobs (up to 100M SHA2 hashes) * API console for proving jobs * onchain verification via OpenVM Solidity SDK to help devs deploy diverse ZK workloads without specialized proving infra.
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Today we are releasing the OpenVM Solidity SDK, which allows developers to verify OpenVM proofs onchain for ~330K gas. The Solidity SDK supports any zkVM constructed with the modular OpenVM framework and also ships as a Foundry library for the default OpenVM configuration.
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3/ We are now expanding support for OpenVM with the Axiom Proving API, a hosted API for developers to generate proofs on Axiom’s reliable and cost-efficient infrastructure. The private alpha is available for early access – reach out at chat.axiom.xyz to get an API key.
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3/ With this release, we are excited to see OpenVM used in live production environments including the upcoming @Scroll_ZKP mainnet upgrade. forum.scroll.io/t/proposal-e… In conjunction, @axiom_xyz is launching the hosted Axiom Proving API to generate OpenVM proofs for developers.
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1/ OpenVM v1.0.0 is much faster, dropping proving cost for Ethereum mainnet blocks by 5x+ to $0.0015/tx on CPU. It was audited on @cantinaxyz and internally by Axiom and has a new whitepaper: openvm.dev/whitepaper.pdf Learn more at the announcement: blog.openvm.dev/v1
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We are excited to announce the v1.0.0 release of @openvm_org. OpenVM is now recommended for production use after a competitive audit by @cantinaxyz. At Axiom, we look forward to working with teams to unlock the power of ZK in production with OpenVM.
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GM. My piece at Desert X opened yesterday. This picture communicates the form, but it doesn't reveal what the reflectors in the curves are doing. Still, it's a nice picture.
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