Eric Anderson

100% renewable energy for a cleaner, healthier world. Software Developer, @AugeoDigital. how can I help?

[Polymarket @Polymarket]

JUST IN: 27% of clinicians say AI has helped them catch possible medical errors at least 3 times in the past 3 months.

[Finn Mallery @fin465]

everyone's sleeping on how absurdly good 2026 is to start a company (even compared to 2024)

one person can now:

- ship full apps without engineers (cursor, replit)
- design without being a designer (v0, Claude Design)
- turn one video into 10 clips (opus, descript)
- push those clips to millions (X, Linkedin, TikTok)
- replace a support team (chatbase, intercom)
- literally watch exactly what their users do (Posthog)
- find + target perfect leads on autopilot (origami)

This is such a rare window. I just can’t imagine it being this easy ever again

[Anthony Scaramucci @Scaramucci]

Actual quotes from President Trump:

Trump’s “victory timeline” claims.

Mar 3: "We won the war."
Mar 7: "We defeated Iran."
Mar 9: "We must attack Iran."
Mar 9: "The war is ending almost completely, and very beautifully.
March 10: practically nothing left to target
Mar 11: “You never like to say too ⁠early you won. We won. In ​the first hour it was over.” Mar 12: "We did win, but we haven't won completely yet."
Mar 13: "We won the war."
Mar 14: "Please help us."
Mar 15: "If you don't help us, I will certainly remember it."
Mar 16: "Actually, we don't need any help at all."
Mar 16: "I was just testing to see who's listening to me."
Mar 16: "If NATO doesn't help, they will suffer something very bad."
Mar 17: "We neither need nor want NATO's help."
Mar 17: "I don't need Congressional approval to withdraw from NATO."
Mar 18: "Our allies must cooperate in reopening the Strait of Hormuz."
Mar 19: "US allies need to get a grip - step up and help open the Strait of Hormuz."
Mar 20: "NATO are cowards."
Mar 21: "The Strait of Hormuz must be protected by the countries that use it. We don't use it, we don't need to open it."
Mar 22: "This is the last time. I will give Iran 48 hours. Open the strait"
Mar 22: "Iran is Dead"

Mar 23: "We had very good and productive talks with Iran."
Mar 24: "We’re making progress."
Mar 25: “They gave us a present and the present arrived today. And it was a very big present worth a tremendous amount of money. I’m not going to tell you what that present is, but it was a very significant prize.” Mar 26: "Make a deal, or we’ll just keep blowing them away."
Mar 27: "We don’t have to be there for NATO."
Mar 28: No major quote
Mar 29: Claimed talks were progressing
Mar 30: "Open the Strait of Hormuz immediately, or face devastating consequences."
Mar 31: Claimed a deal was "very close" and that Iran would "do the right thing"
Apr 1: "We’ll see what happens very soon."
Apr 2: Repeated that a deal was likely, while warning of continued strikes if not
Apr 3: "Something big is going to happen."
Apr 4: Said Iran must comply "immediately" or face further consequences.

Apr 5: "Open the fuckin' Strait, you crazy bastards, or you'll be living in Hell - JUST WATCH! Praise be to Allah."
April 6 :a whole civilization will die
April 7: total and complete victory
April8: objectives were met

A true disaster

[Catherine Rampell @crampell]

Quite the midterm message: we can afford wars and ballrooms, but not your “daycare, Medicaid, Medicare, all these things”

[Nicholas Kristof @NickKristof]

Imagine if instead of spending $1.3 million/minute on war in Iran, we spent this on people. With 3 days of war, we could eliminate the worst form of global hunger, saving 1.5m kids' lives. With less than 3 weeks worth, we could offer national pre-K or college for all Americans.

[Jonathan Cohn @CitizenCohn]

BYD just unveiled an electric car that can charge from 10 to 70 percent in five minutes, and all the way in nine

More proof that EVs are going to dominate the future, just a question of how long it takes — and who will build them

Via @WIRED https://t.co/Ct5KRaNC8c

[Mark Cuban @mcuban]

I’m going to tell you how much worse it was at the start of the PC Revolution for white collar workers trying to adapt, vs today with AI

Today, presumably every white collar worker has access to a smart phone and/or a PC/laptop.

Back then, a PC cost $4,995 , an off brand was $3,995. 5k in 1984 is about $16k today. It was really expensive.

The only reason I could learn how to code and support software is because my job let me take home a PC to learn. By reading the software manual. Literally. RTFM. Or pay to go to training. Classes that started at hundreds of dollars then. It was expensive. It absolutely limited who could get ahead.

Today, ANYONE can go to their browser, to the AI LLM website of their choice, and type in the words “I’m a novice with zero computer background, teach me how to create an agent that reads my email and …”

That concept applies to LEARNING ANYTHING

Think about what this means. Any employee of any company can say “ I need to learn how to xyz for my job , which is to do the following: Tell me what more information do you need to help me be more efficient, productive and promotable”. Or “ what new skills can you teach me that will help me reduce my chances of getting laid off “. Or “what suggestions do you have for me to communicate to my boss, who I barely know, to help my chances of staying employed “

These aren’t great prompts. But they are a start that anyone can take.

Think about how incredible that is.

Back in the day was so much harder for white collar workers. It was harder for new grads because unless they took comp sci, they probably had never used a PC.

Big Companies are going to cut jobs. No question about it. Small companies is are going to need more and more AI literate thinkers who can help them compete or get an edge

What I tell every entrepreneur, and it’s more crucial today. “ when you run with the elephants there are the quick and the dead. Adopt tech quickly , you can out maneuver big companies. “

[Todd Saunders @toddsaunders]

The token cost to build a production feature is now lower than the meeting cost to discuss building that feature.

Let me rephrase.

It is literally cheaper to build the thing and see if it works than to have a 30 minute planning meeting about whether you should build it.

It’s wild when you think about it.

This completely inverts how you should run a software organization. The planning layer becomes the bottleneck because the building layer is essentially free. The cost of code has dropped to essentially 0.

The rational response is to eliminate planning for anything that can be tested empirically. Don’t debate whether a feature will work.

Just build it in 2 hours, measure it with a group of customers, and then decide to kill or keep it.

I saw a startup operating this way and their build velocity is up 20x. Decision quality is up because every decision is informed by a real prototype, not a slide deck and an expensive meeting.

We went from “move fast and break things” to “move fast and build everything.”

The planning industrial complex is dead.

Thank god.

[Jay Black @jayblackisfunny]

Pete Hegseth spent $100,000 on a piano, $2 million on Alaskan King Crab, $7 million on lobster tail, $15 million on steak, $120,000 on ice cream machines, and $12,000 on fruit basket stands… JUST IN SEPTEMBER!

(But, tell me again how Somali day care centers are the problem.)

[Bojan Tunguz @tunguz]

We've reached the point in software development where it's far far easier for a small cracked team to actually build a product than for any team in a big co get the "approval" from "all the relevant stakeholders". This will have major consequences for most incumbents.

[Ejaaz @cryptopunk7213]

wow Anthropic just published a crazy report on AI replacing your job and er... you might want to look at this:

- #1 most at-risk jobs are computer programmers, financial analysts (rip excel bros) and customer service

- most at-risk workers are female, white, older and higher paid.

- BUT high-risk jobs *aren't* firing employees... they've STOPPED HIRING. biggest victims: college graduates (4X more likely to be fucked)

- entry-level hiring has dropped 14% since chatgpt launched (for highest risk jobs)

- SAFEST jobs are... bartenders, dishwashers and lifeguards - any manual labour that AI can't automate (yet) this accounts for 30% of the job market.

- this was the scariest part: AI models are capable of automating most work TODAY but are prevented because of law and slow company adoption. so its not even a fucking skill issue its an ADOPTION issue.

- now its important to understand that the study is based on real world data but also 'theoretical' intelligence. so take it with a pinch of salt. some jobs (manual labor) didn't even meet min. data reqs

i applaud anthropic on being so damn transparent - they're literally the company behind claude who will be responsible for these impacts

studies like this will help us figure it the hell out. LOT of change coming this year.

[Massimo @Rainmaker1973]

How a book written in 1910 could teach you calculus better than several books of today

[Full text: https://t.co/55dkZAfec3]

[Daniel DePetris @DanDePetris]

First it was about destroying Iran’s nuclear program (Trump, Rubio and Vance). Then it was about regime change in Tehran (Trump). Then it was about degrading Iran’s missile capacity (Hegseth and Rubio). Then it was about degrading Iran’s ability to attack its neighbors (Caine). Then it was about preventing an imminent threat from Iran against U.S. troops in the Middle East AFTER Israel struck Iranian targets (Rubio).

Congratulations to the Trump administration for making the George W. Bush administration look competent.

[Jeff Dean @JeffDean]

Exponential trends are very powerful: solar panel prices, transistors per mm^2, price of genomic sequencing, bits per mm^2 for hard drives, ...

[FanDuel @FanDuel]

This picture of Anthony Edwards' dunk is insane 💯

#NBA

[Andrej Karpathy @karpathy]

It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.

Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.

As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.

It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.

[frankie @FrankieIsLost]

december 2019. doctors in wuhan hospitals notice pneumonia cases that don’t fit the usual patterns. patients aren’t responding to standard treatments. some have no clear exposure history.

[Massimo @Rainmaker1973]

AIs can’t stop recommending nuclear strikes in war game simulations.

A study by Kenneth Payne at King's College London, published in February 2026, showed that AI models suggested nuclear strikes in 95% of simulated war games. The AI models included GPT-5.2 (OpenAI), Claude Sonnet 4 (Anthropic), and Gemini 3 Flash (Google).

The research found that AI models often lack the "nuclear taboo" that humans have. The models did not choose to surrender or accommodate an opponent in 329 turns.

The models often used tactical nuclear weapons, while providing strategic reasoning. In 86% of simulations, conflicts escalated further than the AI initially intended.

Claude (Anthropic) was a "master manipulator," while GPT-5.2 (OpenAI) sought to limit nuclear use. Gemini (Google) chose escalation in the face of conflict.

[Garry Kasparov @Kasparov63]

How about some new sanctions on Russia instead of on Minnesota?

[George Ilstrup @georgeilstrup]

Last night I captured a dream photo from a frozen sea cave on Lake Superior ✅