Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Cinematic widescreen shot of silhouetted figure at wooden jury box or witness stand against massive office windows, teal-cyan shadows, legal documents and brass scales of justice in shallow focus foreground, background shows urban skyline with corporate towers mid-collapse and construction cranes emerging through dust and light, desaturated Fight Club color grade with warm sodium vapor highlights, 35mm film grain, dramatic Fincher lighting, 2.35:1 aspect ratio.
2024: AI is the copilot 2025+: humans are the copilot Copilot is the new engineering skill. It’s not easy to leave the driver seat – we must learn to think the AI way and adapt to the alien workflows. Help AI help ourselves.”” https://x.com/DrJimFan/status/2004633997662716397
The US Army is preparing to train its first AI specialists • The Register https://www.theregister.com/2025/12/31/us_army_seeking_officers_willing/
Investors predict AI is coming for labor in 2026 | TechCrunch https://techcrunch.com/2025/12/31/investors-predict-ai-is-coming-for-labor-in-2026/
Given how rapid, ubiquitous & varied AI use is, we are lacking for gradations in AI slang right now. Slop is too large of a category for all bad AI use (obviously bad prompts & models versus good stuff that tricks you into arguing with a bot, etc.). Also no word for good AI work.”” https://x.com/emollick/status/2004709053034090938
I am reminded of this 1897 account of a visit to Nobel’s Scottish dynamite factory, where everything depended on a man sitting on a one-legged stool (so he couldn’t fall asleep) whose job was to watch a thermometer to ensure the chemical never got too hot: “The surroundings are”” https://x.com/emollick/status/2005930710495056363
Some of the smartest engineering ideas come from tradition: The Twisted Chrysanthemum Joint shows how precision alone can hold wood together tightly. No nails, no glue, just skill. A reminder that true craftsmanship often solves problems we still face today. Why it matters ✅”” https://x.com/IlirAliu_/status/2004476296714149902
Terence Tao: “”In recent weeks there have bee…”” – Mathstodon https://mathstodon.xyz/@tao/115788262274999408
One of the weird impulses that comes from working with AI is providing the LLM with unnecessary”closure” – going back to a chat and telling the AI how what happened & how its advice tuned out. Feels bad to leave the AI hanging, even if that doesn’t make a lot of sense.”” https://x.com/emollick/status/2004835779697426536
On net, is our biological hardware a help or hindrance to our intelligence? Are GPUs are to brains what fingers are to robot motors, and there’s a bunch of cognitive dexterity that our brain is uniquely good at implementing? Ala Morevac’s paradox, evolution has spent way more”” https://x.com/dwarkesh_sp/status/2006164582914756882
Where AI is headed in 2026 – Foundation Capital https://foundationcapital.com/where-ai-is-headed-in-2026/
Recently, LLMs were found to encode different languages in similar ways, a sort of Platonic representation of words. It now extends to science:: 60 ML models for molecules, materials & proteins (all with different training) converge toward similar encoding of molecular structure”” https://x.com/emollick/status/2005991284511760421
A big issue in scientific journals around l AI is that our mental & procedural filters aren’t made to detect the difference between good & bad work quickly when AI is involved A flood of papers is fine if we can separate wheat from chaff. But if doing so takes time, that’s bad”” https://x.com/emollick/status/2005806593724809541
Tiny tanks will win the ground war. And VR gamers will win it for them.”” https://x.com/bilawalsidhu/status/2004654678639009865
Saying you are positive or negative “about AI” feels like a category problem. You can be very positive about AI & very negative about AI around exactly the same topic For example, early evidence on AI tutoring is incredibly promising, but its initial impact on education was bad.”” https://x.com/emollick/status/2005639283642941679
So yes, you are falling behind, but so is everyone else. I can guarantee you that nobody at all is keeping up with the implications of AI and its major uses, even the people who are relatively up-to-date on the latest AI models themselves. Everyone is figuring it out as they go”” https://x.com/emollick/status/2004720676427669880
Looking forward to 2026, one significant interesting is that authenticity is becoming infinitely reproducible. https://www.threads.com/@mosseri/post/DS76UiklIDf/media
Four AI lab vague posting strategies: 1) vague emoji: 🙂🔜🦾 2) vague corporate: Big release at DevCon! 3) vague riddles: the STARS are aligning this WINTER 3) vague Lovercraftian prophecy: I have seen the face of infinite eternities & it knows us: ph’nglui mglw’nafh technotopia”” https://x.com/emollick/status/2005908339922809058
I’ve seen a lot of people misunderstand what we’re saying. Our claim is that in a world of full automation, inequality will skyrocket (in favor of capital holders). People aren’t thinking about the galaxies. The relative wealth differences in a thousand years–or a million–will”” https://x.com/dwarkesh_sp/status/2006505366423745004
New blog post w @pawtrammell: Capital in the 22nd Century Where we argue that while Piketty was wrong about the past, he’s probably right about the future. Piketty argued that without strong redistribution of wealth, inequality will indefinitely increase. Historically, however,”” https://x.com/dwarkesh_sp/status/2005709923062092038
New episode w @AdamMarblestone on what the brain’s secret sauce is: how do we learn so much from so little? Also, the answer to Ilya’s question: how does the genome encode desires for high level concepts that are only seen during lifetime? Turns out, they’re deeply connected”” https://x.com/dwarkesh_sp/status/2006057863119265914
Looking back on AI progress in 2025: people are increasingly weighing how AI should fit into our lives and how vital it is for the United States to lead in its development. Being pro-AI does not mean being anti-regulation. It means being thoughtful — crafting policies that secure”” https://x.com/gdb/status/2006512808104702370
Asimov’s First Law: “A robot may not injure a human being or, through inaction, allow a human being to come to harm.” Counterpoint to absolute non-harm: a robot could potentially neutralize threats with precise, minimal force, preventing harm to victims and human officers.”” https://x.com/TheHumanoidHub/status/2005750638618239299
Elon Musk wants robots everywhere. China is making that a reality https://www.cnbc.com/2025/12/30/elon-musk-wants-robots-everywhere-china-is-making-that-a-reality.html
Red Teaming with RL: Exploiting Tinker API for Harmful RL on 235B Model https://huggingface.co/blog/georgefen/red-teaming-with-rl
Currently, we train LLMs on the text that humans have generated – aka the behavioral output of our cognition. What if we skipped the middleman and instead trained them to directly predict the brain’s hidden states? Would they learn faster and better? We discuss this idea in”” https://x.com/dwarkesh_sp/status/2006382084735340845
Leave a Reply