Tom C

Please stop tweeting if you have nothing to say. Stop replying to me. Keep your mouth shut if you have nothing to say

@ed0henderson Is epic stuff

Talked to a founder today building artificial muscle from liquid crystalline elastomers. Some wild numbers: ~14 kW/kg power density. Human muscle is ~500 W/kg. A 2-3g fibre bundle lifts a kilo. Roughly 3x current electromechanical actuators with ~ 70% weight reduction. Every fibre is piezoresistive (mechanical strain changes electrical resistance) so it is an actuator and sensor in one. It fires all-or-nothing like real muscle, so force is set by how many fibres fire rather than how hard. #robotics #physicalAI

@thaiscbranco_ @CRV @AmplifyPartners The mission of ending AI slop is not likely to be solved by a new AI layer. It is a circular solution, akin to saying crime is solved by getting more criminals to kill the existing criminals.

We’re excited to introduce Taste Labs. Our mission is to end AI slop. We’re building the data and infrastructure layer to give AI models and agents taste. And today we’re coming out of stealth, announcing our $18.5M seed funding, co-led by @CRV and @AmplifyPartners AI has nailed objective domains and made it easy to generate anything. But it still feels off. Now, the challenge is judgement. What fits, what feels like you, what’s GREAT. This requires turning a fuzzy, subjective domain into something we can measure and codify. We’re starting with design. There are two sides to cracking this, the foundation model layer and the agent layer: - We’ve already been working with the top frontier labs to evaluate and improve their models, crafting the right post-training data and RL environments. - We’ve also been working with app-layer companies to build the context and verification tools for their agents to produce better, more on-brand, more creative outputs. We want a future where AI feels right. If you’re passionate about this mission, join us!

@Jack_Raines My quant

This is who you're trading against.

@jakeyugen Very refreshing to hear the word ‘noob’ on here as a clear non-AI word

I’m such a noob to X but looking to connect with fellow startup founders and anyone in the startup sphere. I’m Jake, second time founder (first startup raised 600k but co founder split), 22 years old, and now building a dating startup. What is everyone building?

@mdjshin @pangram

Looking for founders in the ugly phase. Not the polished deck. The hacked demo, weird distribution loop, angry user, broken prototype, or customer pulling a half-working thing out of you. If you're building something with real pull, send it my way.

@Antifund Some accounts draft their tweets in Claude, and take no steps to humanise the output…

A founder sends the update before the story is clean. The model is messy. The buyer is specific. The product already removed a line item from someone’s Monday. Anti Fund pays attention there.

@heyrimsha Australian talent is consistently world-beating

An Australian mathematician from Perth who spent a decade at Meta building the framework half the AI world runs on, then moved to OpenAI, then co-founded a company with the former CTO of OpenAI, just accepted what is reported to be the largest individual hiring package in tech history. Mark Zuckerberg paid roughly $1.5 billion over six years to bring one person back to Meta. His name is Andrew Tulloch. Here is the story, because almost no one outside the AI infrastructure world knows what one engineer is worth right now. Andrew grew up in Perth, Australia. He studied at the University of Sydney and graduated with first class honors in mathematics. He went on to the University of Cambridge and earned a master's in mathematical statistics and machine learning. He started his career as a quantitative strategist at Goldman Sachs, applying advanced mathematical models to financial systems. In 2012 he joined Facebook, before it was Meta. He stayed for more than a decade. During that time he became one of the core technical contributors to PyTorch, the deep learning framework that now runs the majority of AI research on Earth. The framework was a Facebook AI Research project that grew into a community standard. Andrew worked on the underlying systems, the distributed training stack, and the hardware-aware optimization that made it production-ready at the scale Facebook needed. Then he left for OpenAI, where he contributed to advanced models inside the company that built ChatGPT and GPT-4. In February 2025 he co-founded Thinking Machines Lab with Mira Murati, John Schulman, Barret Zoph, Lilian Weng, and Luke Metz. Murati, the former OpenAI CTO who had run ChatGPT, GPT-4, and Sora, had walked out of OpenAI in September 2024 with no public explanation. Six months later her startup was real and Andrew was on the founding team. The company raised $2 billion in its first five months. The valuation hit $12 billion. They built a product called Tinker, which lets developers fine-tune frontier models without managing distributed compute. Their public bet was different from everyone else's. While other labs raced to build bigger models, Thinking Machines focused on smarter post-training techniques. Then Mark Zuckerberg made his move. Meta had been losing ground in the AI race. Zuckerberg tried to acquire Thinking Machines for a reported $1 billion. Murati refused. He responded with a direct campaign to hire her most valuable people. The primary target was Andrew. Meta's pitch to him was reportedly a package worth up to $1.5 billion over six years, combining salary, bonuses, and stock awards. The number stunned the industry when it leaked. It would be one of the most expensive individual hires in the history of technology. Andrew initially refused. Then in October 2025 he accepted. He joined Meta Superintelligence Labs, the new division Zuckerberg had created in June 2025 under Alexandr Wang, the 28-year-old former Scale AI CEO whom Meta had installed as its first Chief AI Officer. Meta paid $14.3 billion for Scale AI to bring Wang in. Yann LeCun, who had led Meta AI for 12 years, departed soon after. 600 researchers were cut from FAIR. The first closed-source model from Superintelligence Labs, Muse Spark, launched on April 8, 2026. Andrew now works on the infrastructure problem at the scale of hundreds of thousands of GPUs. Public reporting describes Meta's target as around 350,000 NVIDIA H100s and roughly 600,000 H100-equivalents of compute. At that scale, even a 10 percent efficiency gain saves Meta hundreds of millions of dollars. That is the kind of impact only a small number of engineers on Earth can deliver, and Meta decided he was worth more than the GDP of small countries to have him doing it. A mathematician from Perth who once worked on quant trading at Goldman Sachs just became the most expensive engineer in the world. He spent a decade quietly building the foundations. Then everyone realized what those foundations were worth.

@Jack_Raines How hard is it to write 20 words without plugging it into a chatbot 😭

~40% of the tweets on my timeline get flagged by Pangram as AI slop. 60% on Linkedin.

@signulll Contextual awareness/comprehensive world dataset construction is the future

in today's keynote, apple produced this really interesting graphic that ironically outlines the core mechanics for a new type of operating system (for perhaps a new class of devices). you can see how this moves the world from an app based ecosystem to an intent centric world. i.e. you roughly do not need third party applications in this world at all esp when ai has the ability to construct & deconstruct interfaces / experiences on demand.

@RaminNasibov Dune

Name a book that you think is 10/10. But only one.

@adamshuaib Anyone who is truly successful (in any realm) has rejected the credentialist economy

One hallmark of outlier talent is their ability to completely ignore status and hierarchy. Most people see seniority in a room and are too polite, too agreeable and never speak their mind. There is an automatic assumption that senior individuals are more important and more intelligent. Exceptional people don't do this; the billionaire and the intern are treated equally. A surgeon who cuts off the chief medical officer mid-sentence but spends 10mins listening to the smart trainee. Or a founder answering a clever cold email from a student but ignoring three messages from a senior government official. This trait is misread as arrogance, but they aren't purposefully disrespecting seniority; they just don't process the existence of a hierarchy in the first place. Respect should be earned, not assumed.

@Antifund I am looking for Anti Fund’s content creators to stop using AI to write their tweets

Anti Fund is looking for founders who make the old category feel badly named. Not better CRM. Not faster workflow. A product that makes the buyer ask why the category existed at all.

@justinnguyen If it’s consumer facing, consider naming it something that can become a verb, eg ‘googling’, ‘ubering’, ‘snapping’

Founders, How do you come up with the name for your company?

@signulll So PSA please do not use LLMs to help you publish public writing, your authentic voicing matters more than ever

the best writing functions like a funnel. if you want to write well, most of what you produce should operate on multiple levels simultaneously. there should obviously be the surface level truth which is the thing anyone can understand with ~zero effort. then there should be deeper truths embedded beneath.. like implications, patterns, models, & observations that only become visible if the reader has peripheral understanding of the macro & micro contexts (e.g. non obvious cultural references, or historical / tech references, or even what the current societal mood is). this makes your writing multi dimensional. the same sentence means different things to different people depending on what they’re capable of seeing (instead of broadcast it’s now one to one). everyone enters through the same opening but only some readers make it all the way through. the deeper they travel, the more the piece reveals.

@Antifund Anti Fund posts tweets that sound like they were written by AI

Anti Fund likes founders who make the first version feel illegal in hindsight. Not because it breaks rules. Because it makes the old workflow look embarrassing.

@Tristanrhee3 Try asking them

how do you know if you’re building stuff people actually want?

@ashebytes like Nietzsche says, we move from the metaphorical camel (burdened by norms), to the lion (rejecting every norm), to the child (guided only by sense of wonder for the world)

the highest form of intellectualism is not a cynical grinding philosophizing looping.. it is lightness. it is childlike curiosity, play, whimsy, joy. it is a rejection of the minds narrow traps, an expansion into deeper knowings

@PeterDiamandis yet AI still isn’t recognised as being capable of legal authorship

Anthropic reports Claude now writes over 80% of its own production code — meaning an AI is the primary author of the systems training future versions of itself. Claude's research judgment matched human experts 22% of the time in 2024. Today it's 64%. The recursive loop has started.

@omgsidewalks If your critical thinking skills are sufficiently grounded, then you can use AI to even further challenge your assumptions, while still relying on yourself as the ultimate arbiter of truth

“You are going to get left behind if you don’t use AI.” Leave me with my critical thinking skills, my ability to read and write long-form, and books without needing AI summaries.