Mason Chambers

"show me a newspaper from the year 2035 with real headlines you think will exist"

The internet is dead, and its our job to bury it

My predictions for AI in 2026: 1. Second brain as a service becomes hugely profitable. Companies will pay to build internal knowledge bases trained on their data. 2. Owned audiences (email, SMS, direct mail, SEO rankings) become 100x more valuable as AI spam explodes. 3. Building audience on social → converting to owned channels is the most valuable marketing skill you can learn in 2026. 4. AI content will hit 8/10 quality on basic input. Only 10/10 stands out. Taste and context are your moat. 5. Relationships become even more valuable, especially with people who have large owned audiences. Borrow their trust. 10x overnight. 6. Companies hire employees whose entire job is staying on top of AI trends to help CEOs pivot daily. Eventually these become AI agents. 7. Most powerful AI models reserved for big corporations and governments. Average users never get access. 8. Cost of AI inference scaling rapidly. My system went from $20/month to $500-1K/month in 6 months. Will 10X next year. 9. Niche communities become massive business ecosystems. 80% fail. 20% become multi-unit powerhouses. 10. Proprietary data is the single most valuable moat: customer contact data, search trends, pain points. License it. Sell it. Build competitive advantage. 11. OpenAI building accessible agent layer. When it ships, agentic era begins for everyday people. 12. Claude Code continues to be the highest-leverage skill, period. 13. AGI is closer than we think (if not already here). ASI will be 1000x more earth-shattering then even the most bullish expectations.

I'm lucky enough to have a great doctor and access to excellent Bay Area medical care. I've taken lots of standard screening tests over the years and have tried lots of "health tech" devices and tools. With all this said, by far the most useful preventative medical advice that I've ever received has come from unleashing coding agents on my genome, having them investigate my specific mutations, and having them recommend specific follow-on tests and treatments. Population averages are population averages, but we ourselves are not averages. For example, it turns out that I probably have a 30x(!) higher-than-average predisposition to melanoma. Fortunately, there are both specific supplements that help counteract the particular mutations I have, and of course I can significantly dial up my screening frequency. So, this is very useful to know. I don't know exactly how much the analysis cost, but probably less than $100. Sequencing my genome cost a few hundred dollars. (One often sees papers and articles claiming that models aren't very good at medical reasoning. These analyses are usually based on employing several-year-old models, which is a kind of ludicrous malpractice. It is true that you still have to carefully monitor the agents' reasoning, and they do on occasion jump to conclusions or skip steps, requiring some nudging and re-steering. But, overall, they are almost literally infinitely better for this kind of work than what one can otherwise obtain today.) There are still lots of questions about how this will diffuse and get adopted, but it seems very clear that medical practice is about to improve enormously. Exciting times!

Hats are an under explored Ai wearable

You need to read more, and you need to consume less. You need to set aside time to do a workout for the mind, and you need to give it time to recover. Especially now that it's so easy for your cognitive capacity to atrophy. Refuse to become mentally obese.

@coreyganim 😂😂😂

me explaining Claude Managed Agents to people who think it's "too technical" for them it's not. 12 minutes. clearest breakdown on the internet.

The 80/20 of Claude Managed Agents for non-technical people: What it is: Anthropic runs your AI agent on their cloud. You define what it does. They handle servers, security, sandboxing, everything. What you can sell: - Client onboarding agents - Weekly report generators - Customer support bots - Document processors The math: $999 audit + $1,500-5,000 build + monthly maintenance retainer. The permission system is what sells it: "The agent drafts the email but won't send it without your approval." That one sentence closes risk-averse clients.

Singularitymaxxing

I have never been so bullish on the United States of America.

@itsmarkmoran AI could never create anything even remotely close to this

Today, I am putting Virginia & America First, to announce that I am running as an Independent for U.S. Senate.

Context Engineer will be the hottest job of 2027 Somebody who can ensure that a team of humans and agents have the necessary context to complete their goals.

I used to work 12 hours a day. But thanks to AI, I now work 16.

Big moment coming for local AI. @nvidia x @apple

It will always take longer than you want it to… even when you account for the fact that it will always take longer than you want it to.

Product idea: An app that takes today’s top headlines, run @karpathy’s iterative argument/counter argument loop, summarize both sides and send it to me so I can read both sides and come to my ow conclusion.

consumer AI won’t be won by wrapping the smartest model - instead I'm convinced it'll have the following chracteristics: - AI native functionality reinvents the UX enough to move the needle - deliver enough new AI UX with "good enough" models - ARPU reliably outruns inference cost (as the latter goes down) - retention ends up stronger than non-AI incumbents - creates margin to fund distribution channels Thus, am particularly bullish about high ARPU consumer sectors (particularly with whale dynamics) like personal finance, health, productivity, gaming, etc - these categories already have willingness to pay, which means you can afford heavier models, more iterations, and better UX. Particularly variations of these ideas where an agent can dramatically improve the outcomes Meanwhile low ARPU categories get trapped in a race to the bottom, forced into cheaper models, worse experiences, and fragile retention loops. Particularly true for high global / low ARPU categories like content creation tools and communication apps etc As I mentioned earlier, it seems like 18-24 months before we can wrap AI functionality with remnant ads and it just works. Can def see a huge mega explosion of AI consumer in 2027 as this flips on which will be exciting

dibs

I would love to be able to have multiple Claude accounts on my single iOS app So I can easily switch accounts like in X @bcherny

@TrendSpider $RKLB has a much better horizontal infrastructure if you’re comparing them to SpaceX But this is also like comparing an apple and an orange to a Michelin restaurant

SpaceX is eyeing a $1.5T IPO $ASTS is sitting at a $37B valuation One of these numbers has to move And I'm not expecting any SpaceX discounts