
prompt engineer @browsercompany | I make apps. My code runs on 100mil+ phones | former iOSdev @Twitter | indie dev @mindGoblinStdio
Seattle, WA
Joined October 2012
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Millions*
Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.
Buckle up. The world is about to get very weird.
Tesla says they have officially started Optimus production in Fremont on their high-volume lines.
"The bots coming off this line are the first production quality bots that we have manufactured. While we will continue to iterate on the hardware and manufacturing process, we have proven that the current manufacturing process for Optimus is suitable for a commercial product."
Making cancer drugs in space because in microgravity the chemistry of crystals forming is more uniform which leads to better performing drugs.
That’s sick as hell. The future is awesome.
Let me explain why is @VardaSpace is such an important company
A patient who has cancer has cells that have proteins that are activated leading to growth, replication and then damage.
Targeted drugs work on these cells in 2 ways:
1. Inhibit the receptor (the protein), essentially jamming its function until the drug wears off. An example is Tamoxifen, used in breast cancer to block oestrogen receptor binding.
2. Degrading the receptor altogether so signalling doesn't work and the cell needs to spend time recreating the receptor before it can work again, an example being Fulvestrant which degrades the receptor itself.
The second option here is important to understand because the effect of it significantly out lasts how long the drug lasts in your system. One type of these drugs is called PROTACs - it's a newer type of cancer drug that destroys these proteins (proteolysis) removing functions often related to cancer signalling.
Now these drugs are complex, 15+ chemical steps and can be upto 4x more heavy than normal drugs. With each molecule taking many shapes, when packed together, they often don't form a uniform lattice shape. On Earth, gravity leads to convection currents that feeds these molecules unevenly into the forming crystal, too fast resulting in non-uniform crystal formation.
These drugs:
- Dissolve poorly when ingested
- Have difficulties crossing cell membranes
- Lead to unpredictable bioavailability
- Require high doses in order to get enough drug in the system
Varda here by @WillBruey and @zebulgar aims to solves this with undisturbed crystal formation growth in microgravity.
With a new purer drug you get:
- Predictable bioavailability
- A more stable drug
- A better outcome for patients
This is Varda
Game changer for chat tab hoarders.
I think this effectively 2-4x’es my usage???
Huge for scheduled tasks too, because now you can let big threads of context pile up and get retriggered after multi hour or day delays. So now your weekly planning thread with 700k preloaded context tokens is super cheap cached price.
Oh fascinating. League of legends is being reverse engineer distilled Vibecode attacked to the point they have had to change how game replays work. Model labs aren’t the only ones who need anti distilled patterns now.
Incredible public good. I’m so excited to see how health evolves for the world
ChatGPT is now the largest medical record sync from hospitals to consumers, passing Apple.
I'm glad we can all access our medical records through the apps we choose. Rightly so!
We're working with Epic and hospitals to reduce the API load on their servers. The current setup is archaic - the equivalent of refreshing your inbox instead of getting a push when email arrives.
FHIR Subscriptions can solve this & reduce strain on the system.
App layer now wins.
OpenAI, Anthropic and other leading AI labs face a growing challenge: Better models aren't necessarily attracting more usage. A 10-point intelligence advantage now earns just 20% more developer traffic, down from nearly 69% in late 2025.
Full story: thein.fo/4hGJ9jY
Peculiar situation where every company wants to vertically integrate Ai software factory stacks, but also every dev tool and model lab is competing for it
New Jev like model from Cloudflare!
Decision models are out already lol.
We got system 1 models now
Cool thing about this, unlike Jev which can only return decision probabilities, this can also extract text, computed and estimated values. Because it's not generating new text tokens, it can't hallucinate, but it still lets you pull exact words and figures out into structured json.
Super handy for asking questions like how many, or how often. A new type of smart if statement similar to Jev but for different questions.
a brand new model paradigm! introducing 𝚌𝚕𝚊𝚒𝚛𝚒𝚌: a system one model for extracting, computing, estimating, and predicting values from unstructured inputs.
blog.cloudflare.com/clairic-…
People wanna hate on this but I do think 2-3 days, staying up late, of extended focused pour your soul and mind into the computer and do almost nothing else is the ideal coding flow now.
Unfortunately most jobs (and most people) are not setup to handle this or practiced with this intense on/off cycle, so it’s sounds and looks crazy. Not for everyone.
But like the standard tech co office hours of 9-5 or more, 5 days a week with crazy amounts of context switching and meetings is an insane working style too and produces many undesirable psychological effects. Neither of these approaches are without health concerns nor downsides.
Worst part of my job by far is the way hours are imposed as a regular low grade chronic stress grind and not these intense sessions.
I would prefer a more manic and obsessive work style personally.
It genuinely takes hours to get into a full proper vibecoding flow state. Similar to how meditating 20 minutes a day doesn’t really kick in until day 10 or so. Takes time for neurons to change and your body to get there. By hour 12 of vibecoding you reach areas of thought and creativity you can’t reach otherwise.
Alas the plight of the creative and the obsessed. People see out of distribution individuals and yet don’t seem to wonder if their quirks and flaws are what lead to their successes in other areas in the first place.
If proactive agents become the standard, then you need start creating an info diet for them.
I be sending my agent interesting tweets and papers with no instructions or follow ups, just check this out and summarize, so the agent has good seeds and knows the interesting stuff and cutting edge trends so that later on when we brainstorm it can tap the neat stuff in its memory from 4 weeks ago
Nick Dobos retweeted
You need to prompt with love in order to guide large agent swarms
I’m not kidding. 100% serious & literal.
Values, culture, feeling, and story based prompting is the only way to steer 10000000000 decisions a second. Same system CEOs use scale decisions.






















