i don’t think “everything should be understandable” is the right bar
yes we take drugs nobody understands. we also have blindspots w/ AlphaGo, but they were found by other AIs not humans
the bar isn’t human understanding right now. but not sure we can accept sealed boxes either
there is a new mind virus morphology being passed around academia
guess we're waking up in pods.
our entire reality is now under question
new study examines as ai detection gets better and better, its finding synthetic data further back in time on a linear scale
it now suggests a lot of the early 2000's were generated even extending into the 1990s including Nirvana
Readers added context they thought people might want to know
The image is a satirical fake of a nonexistent paper and journal. No study finds AI detectors flagging 1990s Nirvana as synthetic. Generative AI tools arrived decades later.
en.wikipedia.org/wiki/Nirvana_(…
ChatGPT Dots are so polite when they ask you to solve Captchas as they work autonomously on your behalf.
(It is unsubscribing from all my junkmail)
13 hour implementation /goal with GPT-6 Luna Max, and my usage has barely gone down.
This model is basically free.
nice job @tibo
I heard a rumor today that @AnthropicAI is about to solve quantization of gravity.
You gonna let them have gravitons @OpenAI / @sama?
I spent much of the weekend talking with the team who did this work. Seb--and everyone else--acted with integrity and generosity throughout.
Initially we believed the other team had also solved the problem. We wanted to collaborate and do a joint release.
When we learned that they had Euler but not Navier-Stokes, we offered to let them go first, to suggest that they should be the ones to get the prize, and optionally for Tristan to be the lead author on a rewrite of the OpenAI proof. We felt it was challenging to offer the same to Levent (an Anthropic employee), who was not willing to talk or coordinate with us anyway. We were open to other solutions.
We would have greatly preferred coordination. We did not rush to publish even though the other team wasn't communicating with us. The team threatened us with unfounded accusations of plagarism.
Now that we can see their work, the approaches appear to be different. It is also worth noting that our latest model can solve many, many other math problems.
It is true that we tried this because there were rumors on the internet last week that Anthropic's models had solved a millennium problem and we were curious if ours could do it too.
Danny Rodriguez retweeted
Be careful out there!
Breaking down this very sophisticated and convincing phishing attempt that abuses @OpenAI systems to send the email out from their actual verified domain!
This is how the email looks on the browser in light mode (below is what you see in dark mode on the phone)
It comes from noreply@tm.openai.com and has the blue @gmail checkmark.
Worth noting that this also came as a notification from the IOS app before I saw the email, which made it even more "trustworthy", tho hitting that notification resulted in an error inside chatGPT app.
With a bit more analysis, the "authportal[dot]co" domain seems very phishy, and is also a plain link, but also, noticing the full subject line, we see "has invited you to be their trusted contact on ChatGPT"
So apparently these folks changed the name of their ChatGPT account to "OpenAI x X partnership - Creator Program Access" and then.. invited me to be their trusted contact.
This resulted in sending the email via OpenAI's actual email system.
The have abused that system to include this phishing message, and then... they added a BUNCH of white space at the bottom of the email, to push the real automated messaging about a trusted contact, below the limits of an email presented on Gmail.
This is a very convincing attack, from the OpenAI notification, to the real domain it's coming from, and if they were able to get a button in there and not just a link, I might have clicked!
The url authportal gets redirected to an authentication page on @X for an app that wants all your permissions, including posting as you etc. They have OpenAI logo on there. (@Support @Safety is there a way to report an abusive scamming X app?)
Danny Rodriguez retweeted
An extremely important functionality for agents is to simply extract fields out of PDFs. This turns out to be harder than people think because LLMs are primarily trained on predicting the next tokens. This leads them to "autocorrect" things that they shouldn't autocorrect. We launched an AI Extract capability that just excels at doing just this task with very high accuracy (95% vs 87% for others) and extremely low cost. Check out this blog on how we did it. The function can of course be called directly from SQL and be used throughout the platform.
databricks.com/blog/databric…
Danny Rodriguez retweeted
Today, we’re pleased to share strong momentum across our business, including crossing $7B in revenue run-rate and achieving >80% year-over-year growth in Q2.
We also shared:
• >$100M revenue run-rate for Lakebase
• >$1.5B revenue run-rate for Lakehouse
• Closed $5B in new strategic funding at a $190B valuation
This new capital will fuel investments in Genie, Lakebase and Unity AI Gateway so we can help customers scale AI with greater context, control and choice.
Learn more: databricks.com/company/newsr…
Danny Rodriguez retweeted
Today, we announced that we crossed $7B in revenue run-rate, growing over 80% year over year in Q2.
We also shared:
🚀 $100M+ revenue run-rate for Lakebase
🚀 $1.5B+ revenue run-rate for Lakehouse, growing over 100% year over year
🚀 Continued positive adjusted free cash flow
And we raised $5B in our latest fundraise.
We’ll use this capital to invest in:
1️⃣ Lakebase, our serverless Postgres database built for AI agents
2️⃣ Genie, our AI coworkers that actually understand your business data
3️⃣ Unity AI Gateway, our multi-AI governance solution that helps control costs
@iamVictorDey shares more in @Forbes:
forbes.com/sites/victordey/2…
Danny Rodriguez retweeted
Replying to @databricks
@databricks has the fastest and lowest latency on Kimi K3 (max)! Great job by Databricks AI team!
artificialanalysis.ai/models…
GPT 5.6 on Codex makes any #OpenAI subscription feel like a bargain, ngl.
GPT 5.6 Sol's safety checks are implemented much better than Fable, which just defaults to Opus 4.8 devoid of nuance.
But ... safety checks just because I am doing protocol inspection is stupid.
The government needs to get its hands out of the cookie jar on this.
Danny Rodriguez retweeted
Databricks is all in oss models.
We're looking for cracked AI inference engineers to join us at Databricks AI to produce trillions of tokens.
DM me if you have:
- Contributed to open-source ML systems like SGLang/vLLM/PyTorch/Dynamo
- Experience serving LLMs at large scale
Danny Rodriguez retweeted
The Midjourney scanner is revolutionary. There’s a bullish case that exceeds the most optimistic takes.
I was at the unveiling and used the scanner myself. I personally want to experiment with a weekly whole body Midjourney scan to add to my 1.5 billion data points and let my AI and doctors start connecting the dots.
Most of the early commentary has focused on the wrong questions: “is it as good as MRI?” and “what about false positives?” These are legitimate concerns, but they miss the bigger shift.
The more important question is: what does fast, low cost, safe whole body imaging unlock?
Let’s start with measurement.
A speedometer tells you how fast you are going. A fuel/battery gauge tells you when to stop. A thermostat tells you what to wear. The stock price tells you how much money you’ve made or lost. We measure what we care about.
Except, oddly, for our bodies, which are among the least measured things in our lives. Most people have more data on their favorite sports team, bank account, and social media performance than their body. The future will think we were crazy for this.
The first law of medicine is to do no harm. Our current system has harm baked into it.
+ an undiagnosed condition progressing silently is harm
+ a doctor who can’t easily get a patient screened preventively is harm
+ having no baseline to compare against when something shows up is harm
Our preventive net is narrow and inconsistent. Late stage diagnoses that could have been caught earlier remain common. Midjourney’s technology won’t eliminate that overnight, but it points toward a future where routine wholebody baselines become normal rather than exceptional.
Midjourney can help flip harm-by-default into a new expectation for our health infrastructure: almost no one will ever again be blindsided by a late-stage, life-threatening diagnosis that could have been caught earlier reasonably and cost-effectively.
Some examples of what earlier structural visibility enables:
+ breast cancer caught while localized has a ~99% five year survival rate. Once it has spread distantly, that drops to around 32%.
+ an abdominal aortic aneurysm kills more than 8 in 10 people when it ruptures. A single ultrasound finds the aorta in 99 percent of people, and screening cuts aneurysm deaths by a third to a half.
Midjourney’s technology will not do it all on its own. Its full angle, water immersion approach works around bone rather than seeing through it, and routes bowel gas to image the full abdominal cross section. Yet two real limits remain: air filled lungs stay a blind spot even here, and the brain is out of reach behind the skull, beyond the torso and legs this scanner covers.
That is fine, and they may improve these areas over time. Midjourney doesn’t need to do it all in order for it to be one of the biggest things to hit medicine in a long time.
Let’s look at where specifically Midjourney may be useful to each of us. We’ll start with where we get data today:
1) Blood draws tell us what is happening chemically.
2) Wearables tell us how the body is functioning.
3) Imaging tells us what is happening structurally.
The third layer, soft tissue, is the one we have never been able to access easily. MRI is great, but it is expensive, intimidating, and slow.
Midjourney's technology excels with soft tissue. Here are three places it could be game changing. There are many more.
1. Metabolic health - fatty liver is one of the earliest structural signs of metabolic dysfunction. It’s strongly linked to insulin resistance, type 2 diabetes, and cardiovascular risk. Being able to track visceral fat, muscle fat infiltration, and liver fat over time could give a much clearer picture than blood markers alone. Over 88% of Americans are metabolically unhealthy.
2. Endocrine tissue - the same metabolic patterns often cluster with thyroid issues, PCOS, and hypogonadism. Ultrasound can directly image the thyroid and ovarian structures. Fat tissue itself is an endocrine organ, so tracking it structurally adds another useful data layer.
3. Soft tissue + multiomics - new proteomic aging clocks can already predict risk for many chronic diseases from blood proteins. These molecular models could become significantly more powerful when combined with actual structural imaging data. The two are complementary, not competitive.
The real advantage: baseline + longitudinal tracking
The biggest unlock isn’t a single scan. It’s having a baseline followed by regular follow-ups. A one off scan in a moment of concern turns every finding into a potential crisis. Without context, you have no idea whether something is new, stable, or changing. With baseline + repeated measurement, the question changes from “what is this?” to “is this changing?” Most incidental findings stay stable. The dangerous ones tend to grow or evolve. Trajectory is often more informative than any single image or timepoint.This is why false positives become more manageable with frequent, low-friction imaging.
Midjourney has a difficult road ahead. Building robust, clinically validated medical hardware and software is extremely hard. Regulatory, technical, and adoption challenges shouldn’t be understated. Also, David is doing this for the right reasons and he’s well positioned financially to push through the difficulty.
On the horizon
We are moving quickly into a future where we will have continuous biological measurement. It will be all around us, a lot of it invisible and autonomous. Measurement will be in our gyms, beds, homes, clothing, offices, cars, glasses, and wearables. It will also be inside of us, in tissue and circulating in our blood vessels. This moves us from managing crises to preventing them. But this future will not just show up. We need bold builders like David and his team, willing to do the hard work.
Medical bros: Scans are bad, because patients misinterpret noisy data
Tech bros: Data is good, because patients have access to data gobbling shoggoths that can extract signal
Medical bros: Tech bros don't understand the world of healthcare
Tech bros: Shoggoths understand all
Replying to @gfodor @BrentAWilliams2
I dont get it. This technology has existed, and been iterated upon since the 1950s, we know it already.
Theyre not reinventing the wheel, theyre spiffing it up and charging you for while pretending they discovered something.
Apparently, most ppl take marketing as gospel. 🤷♂️

























