This pastor explains AI better than 90% of influencers.
A Biblical Perspective on AI, Part 1 | Tom Pennington | Selected Scriptu... youtu.be/Ydn_4YeuEbI?si=Lk5F… via @YouTube
Code of Purpose retweeted
Figure held an all-hands this week, and I've decided to share it here publicly
Given our rate of progress, our roadmap has completely changed over the last year, and the team has doubled
It's important to get everyone aligned on our mission going forward
Code of Purpose retweeted
Our AI Security Leaderboard ranks how well frontier models’ safeguards hold up against misuse. All four models tested now clear our Minimal Standard for Safeguards, with zero universal jailbreaks found.
At launch, two broke for under $300 on chemical, radiological, nuclear, explosive, and cyber requests, and their developers have since closed those gaps against the standard.
The standard is built from publicly documented jailbreaks, so it’s a floor: our focused testing continues to uncover more vulnerabilities.
Next update: new models and a revised standard.
We’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development.
Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients sooner.
Welcome @ashokaraj_ and team!
openai.com/index/openai-to-a…
Code of Purpose retweeted
New on our Science Blog: designing protein binders against scorpion neurotoxins.
Scorpions sting about 1.2m people every year, and antivenoms are often costly or in short supply. Claude has made an early step toward finding new treatments.
anthropic.com/research/claud…
Code of Purpose retweeted
Regarding potential attacks on energy, food, and water infrastructure, the threat is quite real. Someone is currently probing infra and feeling it out, it is an active threat. Even a little preparation can be helpful, just in case. This comes from the joint cybersecurity advisory released by the NSA and partner agencies on August 19:
'The threat actors are conducting reconnaissance and capability development against U.S.-based Siemens PLC installations using Al-generated exploitation scripts disguised as legitimate monitoring tools. The actors leverage Internet scanning services to find Internet-exposed PLCs running outdated software or that are otherwise poorly protected. The U.S. critical infrastructure sectors most targeted by this threat activity include Critical Manufacturing, Energy, Water and Wastewater, Chemical, Food and Agriculture, and Commercial Facilities. This is not a theoretical risk - it is an active threat. Depending on the specific circumstances, exploitation of poorly protected PLCS could lead to disruption of critical industrial processes, safety incidents, downtime or equipment damage, compromise of sensitive data, compliance violations, and cascading impacts across interconnected systems.'
'Using Al to generate exploitation scripts represents an evolution in threat actor capabilities, dramatically reducing the technical expertise and time required to develop working ICS exploitation scripts and malicious tools. In addition, Al enables adversaries to rapidly leverage additional attack vectors and adapt to defensive measures. Threat actors can easily collect public information about vulnerabilities and weaknesses, find exposed and exploitable PLCs, and use Al-generated scripts to act on that information. If PLCs are exposed to the Internet, they are at high risk for exploitation.
Threat actors are leveraging open source industrial automation libraries - specifically snap7.d11/python-snap7 - combined with Al-assisted scripting to create custom tools that mimic legitimate OT monitoring solutions. These tools provide read/write access to Siemens S7 Series PLC memory, configuration data, and ladder logic programs via the S7comm protocol.'
It seems like we're in a pretty hot moment cybersecurity wise 😬 If you're reading this website, you probably know more than most of the people in your life about what's happening! they're not talking about any of this stuff on the news, it's too arcane and weird and sudden. It is on us.
Good time to call or text your family and friends, have some cash on hand, have a meetup point in your neighborhood for if the Internet goes down entirely, etc.
The full prepper mode for shit hitting the fan is probably something like what Andreas posted here but you can get 80% of the way with 20% of the effort. Think about what that would mean for you in your situation, and the people you care about, and talk to them about it sooner than later.
And as always, the most important part of prepping is having a strong support network and caring for each other. "Going off grid" isn't the move, it just makes you isolated and you have to do everything yourself. We are social animals. Community is our superpower 🫡🫡🫡
In the same mouse-brain dataset, GPT-Rosalind found a possible clue to why TSC2 mutations tend to cause more severe tuberous sclerosis than TSC1 mutations.
The two genes work together to regulate mTOR. Yet in one group of cerebellar neurons, disrupting TSC2 changed the expression of dozens of genes, including genes involved in neuronal communication. Disrupting TSC1 had little effect on gene expression in the same cell type.
Existing treatments already target mTOR. Do they reverse these changes, or is there more to TSC2’s role in these neurons?
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration?
DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it.
That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders.
With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets.
openai.com/index/scaling-ai-…
We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.
It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.
Code of Purpose retweeted
Spent years watching models ace a single image and completely whiff on anything that moves or changes angle. Today we’re fixing that.
Try Glimpse now, our first visual thinking model with competitive frontier performance compared to Astra on key public visual reasoning benchmarks.
Code of Purpose retweeted
Alexandr Wang — Scale AI co-founder, now Meta's Chief AI Officer — made a point most Western AI labs don't want to sit with:
China is ahead on AI data. Not in model architecture. In the infrastructure that feeds models.
The mechanism matters here: a decade of systematic digital infrastructure build-out means China has data throughput and cross-sector integration baked into the economy at a structural level. Wang's framing — data as "the new oil of AI" — isn't about raw volume. It's about collection velocity and scenario diversity. Those two things are much harder to replicate than compute.
The US leads on chips and model research. But if training data becomes the binding constraint for the next generation of capable models, the advantage flips. That's not a dramatic prediction. It's the logical consequence of how these systems scale.
Worth noting who's saying it: Wang runs the company that builds data pipelines for the biggest AI labs on earth. He knows where the bottlenecks are better than anyone.
Code of Purpose retweeted
As AI becomes more capable, I'm focused on questions around the pace and implications of progress, and how they should inform the strategy of OpenAI and across the field. I asked Aleksander to come back to OpenAI to work with me on these topics. I value his judgment and am glad to have him on the team again.
Personal update: Turns out that what I thought was leaving OpenAI became more of a sabbatical.
When I left a few months ago, I felt that the most important thing to focus on was making AI more useful to people. But we’ve since entered a different regime of AI progress. One in which getting the safety and security challenges of increasingly capable AI right has to become a central priority.
So I’ll be returning to OpenAI, joining @merettm to help chart a path through these challenges.
There’s much work to do, so let’s get going.
Code of Purpose retweeted
My new Christian period & pregnancy tracking app, ana kate, is now LIVE for iOS devices!
ana kate is unapologetically for women and for life.
Along with pro-life women’s health professionals, we built an app that helps you understand your cycle, fertility, and pregnancy while offering biblical encouragement, prayer, and community.
Download ana kate today at apps.apple.com/us/app/ana-ka…
Code of Purpose retweeted
F.03 just crossed 9 straight days walking on this treadmill: 348 miles and 1.2 million steps
Started as a side project to stress the robot for any failures. Let's see how long it can go
Code of Purpose retweeted
Anthropic CEO Answers the Question Everyone Cares About Most: Should You Still Learn Programming Now?
1. Programming will be the first to be eliminated.
AI models are already doing this. Broader software engineering tasks will take a bit longer, but they're also receding. If you're learning programming just to keep your job, you're heading in the wrong direction.
2. Even if you only do 5% of the work, it still has value.
AI does 95%, you do 5%, and your productivity can increase 20-fold. The power of comparative advantage is astonishing, even with huge gaps.
3. The most promising careers are human-centered.
Jobs that combine interpersonal skills, the physical world, and analytical abilities. He cited radiologists as an example: doctors who understand patients and context, not just those who can read scans.
4. Critical thinking may be the most important skill in the next decade.
When AI can generate anything, the ability to discern truth from falsehood becomes scarce and precious. You don't want to hold false beliefs or be deceived. This is his practical advice to 25-year-old young people.
5. If you don't use AI well, it will make you dumber.
Anthropic has done related research. Depending on how you use the models, the decline in coding ability is measurable and real. The problem isn't the tool—it's misuse.
6. He's bullish on semiconductors as capitalism's victory in the next decade.
The physical world, traditional engineering, direct AI dividends. Not software, but chips.


















