Winemaker. Farmer. Human. I secure AI systems. Write about the future. And speak where the stakes are high. Scale AI, Uber, Google, Nest, Microsoft
Greater Boston Area 🇺🇸
Joined June 2011
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I'm giving a talk so 'dangerous' that I can't even ask Google Slides to generate a silly new slide... Or at least that's how I'm marketing things going forward
How long until farm diesel costs as much as regular diesel and farmers can no longer afford to plow fields…
When people don’t believe that I just use existing context about how I work and operate and get better results.
David Campbell retweeted
We basically solved this decades ago, but most folks working on this stuff haven't been around long enough to know anything beyond "model alignment"
David Campbell retweeted
What an incredible night in Boston! 🚀
The @AnthropicAI Claude Build Day brought together an amazing community of builders, engineers, researchers, founders & students to do one thing Build with Claude.
The energy, ideas, collaboration and demos were 🔥
Huge thanks to everyone who came out and helped make this happen. Boston showed up! 🙌
Thank you to my co-host Priscilla Ricapa, thank you @nnennahacks for all you did to ensure this was successful, Mike Grandinetti our HBS host and to all Harvard Business School student Volunteers.
Thank you to Harvard Business School for hosting us.
We’re just getting started. 🛠️
See you at our next event.
David Campbell retweeted
👀 on the job hunt!
👋🏼 If you’re hiring for DevRel, Growth, PMM/GTM or content.. shoot me a message and happy to share my resume and links. Background in DevTools, Infra and Open Source
Me:
👩🏽💻 14+ years In tech
💼 self taught engineer -> SRE -> Developer Advocate
➡️ AnaMMedina.com
David Campbell retweeted
Greg Brockman says OpenAI pointed Astra at its own systems until it ran out of vulnerabilities to find:
"We took 25% of our production engineers and said, 'Sorry, all your projects are on hold. You are now defending. You are now up-leveling our security architecture. You're going to use the models to find all the holes.' And we found a number of serious issues, and we fixed them."
"We found some new problems, but eventually it saturated. We basically have found, to our knowledge, all of the P0s, all of the critical problems that Astra is smart enough to find. And of course, there will be a new model, there will be a new round."
"You want to be in this tight loop of new cyber capability drops, you deploy it against your systems, you find the new holes, and ideally, you've managed to automate this, what we call defense factory. That's what we're building internally."
"There are ideas, for example, formally verifying all of software, that are possible with AI."
@gdb @bhorowitz
Greg Brockman: "We're now in the AGI era."
Ten years ago, OpenAI worked out the compute curves and landed on fifteen years to AGI, or ten if the world was willing to build the machines and spend the hundreds of billions to do it.
In 2026, GPT-6 Astra manages 24 hours of coherent operation, 10,000 agents worked together to solve Navier-Stokes, and a model ingeniously chained together exploits to break containment at Hugging Face.
@gdb joins @bhorowitz and @eriktorenberg on what the AGI era asks of us: why safety and alignment now set the pace, what happens to work, and why AI sentiment is lowest in the country building it.
00:00 Intro
00:52 15 years, or 10 if you spend enough
02:24 Pacing the frontier
03:55 Safety ideas from before the models
08:42 Lessons from Hugging Face
10:20 The defender's window
12:46 10,000 agents on Navier-Stokes
14:50 Formally verifying all software
17:10 Cancelling his holiday for GPT-3
18:42 Codex found 13 holes in 15 minutes
20:41 Why Astra earned the GPT-6 title
24:25 Employment keeps going up
29:39 America has the lowest AI sentiment
31:10 The benefits don't make the news
33:26 Banning data centers exports them
35:50 $1 billion for frontline defenders
38:15 Astra cleared the bar for AGI
40:18 1.5 billion people churned ChatGPT
43:25 Killing Sora
47:45 The AGI era
YouTube: youtube.com/watch?v=IJn8cagM…
David Campbell retweeted
This might genuinely be the most powerful piece of internet performance art we'll see. Since I was a young child in 2001, I expected to follow this account today as a touching memorial. But watching this happen "live" filled me with emotions I didn't expect to have.
I was life guarding for PE class at my high school. I didn’t get an opportunity to watch the coverage until the afternoon, but by then teachers stopped showing it on tv. I first saw video of the towers collapsing the next day. I listened to the entire event live on the radio.
David Campbell retweeted
This is freaking huge: For the first time, a AI-assisted personalized mRNA cancer treatment has succeeded in a Phase 3 trial.
Moderna and Merck sequence each patient’s tumor and compare it with their healthy DNA. AI then helps identify which of the tumor’s mutations are most likely to trigger an immune response.
From those targets, Moderna produces an individual mRNA treatment encoding up to 34 neoantigens, The earlier Phase 2 trial followed patients with surgically removed high-risk melanoma for five years:
- 68.8% remained cancer-free, compared with 49.1% on Keytruda alone
- 49% lower risk of recurrence or death
- 59% lower risk of distant metastasis or death
Now the much larger Phase 3 trial involving 1,137 patients has also succeeded.
Absolutely incredible. Dario was right: cancer will be cured in just a few years!
David Campbell retweeted
Who's gonna tell vibe coders about...
> Rate Limiting
> Caching
> Load Balancing
> Reverse Proxies
> API Gateways
> CI/CD
> Docker
> Kubernetes
> Service Discovery
> Circuit Breakers
> Timeouts
> Retries
> Exponential Backoff
> Idempotency
> Message Queues
> Pub/Sub
> Event-Driven Architecture
> Distributed Transactions
> Saga Pattern
> Dead Letter Queues
> Cron Jobs
> WebSockets
> Long Polling
> Server-Sent Events
> Database Indexing
> Query Optimization
> N+1 Queries
> Connection Pooling
> Read Replicas
> Sharding
> Partitioning
> Replication
> Leader Election
> CAP Theorem
> Eventual Consistency
> Optimistic Locking
> Pessimistic Locking
> Distributed Locks
> Race Conditions
> Deadlocks
> Memory Leaks
> Garbage Collection
> Thread Safety
> Backpressure
> Autoscaling
> Horizontal Scaling
> Vertical Scaling
> CDN
> Edge Caching
> Cache Invalidation
> Feature Flags
> Blue-Green Deployments
> Canary Releases
> Rolling Deployments
> Rollbacks
> Health Checks
> Liveness & Readiness Probes
> Monitoring
> Logging
> Distributed Tracing
> Metrics
> Alerting
> SLOs
> SLIs
> Error Budgets
> Observability
> Secrets Management
> IAM
> OAuth
> JWT Rotation
> TLS
> Encryption at Rest
> Encryption in Transit
> WAF
> DDoS Protection
> CORS
> CSRF
> SQL Injection
> XSS
> SSRF
> Database Migrations
> Schema Versioning
> Disaster Recovery
> Backups
> Failover
> Multi-Region Deployments
> Chaos Engineering
> Cost Optimization
> Cold Starts
> Serverless Limits
> Latency
> Throughput
> P99 Latency
> Tail Latency
> Network Partitions
> Clock Skew
> DNS
> TCP vs UDP
> HTTP/2 & HTTP/3
> gRPC
> Webhooks
> API Versioning
> Semantic Versioning
> Infrastructure as Code
> Terraform
> Helm Charts
> Build Caching
> Dependency Hell
> Production Incidents
> On-call
> Postmortems
...until the app gets its first million users.
David Campbell retweeted
So now that we understand the value of tokens, we're all agreed, right?
Tabs > spaces
