Elvis Kimara

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Elvis Kimara

Elvis Kimara

@ElvisKimara

Katılım Ağustos 2021
143 Takip Edilen39 Takipçiler
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Harry Stebbings
Harry Stebbings@HarryStebbings·
Is SpaceX the Geocities of our time? "We may look back and say, “These were some good companies,” but 100x trailing sales, My God. Twitter's growth has shrunk 50% since he bought it. Elon's the magician of revenue compression in Twitter." @jasonlk Love your thoughts on the opposite, the bull case for SpaceX at $2TRN @shaunmmaguire @zebulgar @chamath @jason
Harry Stebbings@HarryStebbings

Holy s***. Last week was the Superbowl of S-1’s. SpaceX and OpenAI. This is happening. The largest IPO in history is taking shape. I sat down with @jasonlk and @rodriscoll to discuss the filing, along with the biggest news in tech this week: - Anthropic hits $44B ARR, projects first profitable quarter, and laps OpenAI on revenue - Nvidia Prints $81.6B… but the Market Yawns? - Exa, OpenRouter and Polsia Raise Mega Rounds - Uber and Microsoft Declare AI ROI for Developers is Questionable My notes below: 1. Is OpenAI Rushing to Go Public Before Anthropic? OpenAI may need to rush its IPO to protect its category leader narrative from Anthropic. OpenAI did $5.4B to $5.5B in Q1, while Anthropic generated $5B, matching its entire prior year in a single quarter. With Anthropic growing 10x year over year versus OpenAI’s 2 to 3x pace, it could soon become the bigger, more profitable business. 2. Do Venture Investors Have to Risk More With Less? The venture playbook has shifted from the SaaS era. VCs now have to back higher valuations on far less information. Waiting for one-year renewals or clean trailing data is a losing strategy because AI adoption curves move too fast. Success now requires acting on raw product traction and market conviction. 3. What Is the Right Venture Play in AI? Traditional seed investing has become a bottleneck. The winning move is wiring capital the moment a breakout leader emerges. These startups can move from pre-revenue to hyper-scale almost overnight, so investors have to underwrite real-time momentum instead of waiting for the market to settle. 4. Is SpaceX the GeoCities of Our Time? At 100x trailing sales, SpaceX risks becoming the GeoCities deal of the AI era if market euphoria fades. Its valuation is detached from traditional discounted cash flow models and depends on a massive Elon Premium that multiplies its baseline economic value. 5. Why the SpaceX S-1 Does Not Make Sense Combining unrelated assets into the SpaceX S-1 looks like financial engineering designed to hide weaker pieces of the story. It uses AI hype to absorb Twitter’s revenue collapse and expensive chip clusters that failed to compete with OpenAI. It feels like SolarCity on steroids, using a clean private business to bail out an insular investor circle. 6. What Will SpaceX’s Core Business Be in Five Years? Starlink will likely drive most of SpaceX’s value. Terrestrial data centers remain a low-ROE business, and space data centers are still negligible. The valuation only works if Jensen Huang’s $3T to $4T CapEx vision hits by 2030 and Earth power constraints force compute infrastructure into space. 7. Are Tech Layoffs From COVID Overhiring or AI Efficiency? Blaming layoffs on COVID overhiring does not hold up after years of normal attrition. Corporate America is redirecting opex from mid-level headcount toward token budgets and agentic automation. Companies are cutting average roles to overpay elite, highly productive talent who use AI workflows to multiply output. (links below)

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TBPN
TBPN@tbpn·
After several years of declining search traffic, Condé Nast CEO @rogerlynch has directed all the company's brands to operate as if search traffic to their properties will be zero. He says the era of turning search and social media traffic into profitable businesses is gone. And that if you run a media business that doesn't have an authoritative brand, a very strong niche, or a direct audience, you're going to be fighting hostile algo changes all the way down. He describes a recent board meeting: "We took a snapshot of search results from seven or eight years ago. And what you saw were a few sponsored links, then the ten blue links." "Do the same search today, you get an AI overview, then you get rows and rows and rows of commerce links, then you get sponsored stuff." "Each of the last three years, we would do our budgets, and we'd put forecasts in of search traffic declining. Because we'd seen the pattern of algorithm changes. And generally those algorithm changes were negative." "Every year, our search traffic was down more than we had forecast. So last year I told our teams, 'Assume there's no search.' You have to have your businesses planned as if search is zero. We don't expect it to be zero, we expect it to be a single-digit percentage of our traffic." From his appearance on the show earlier this month.
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The Rundown AI
The Rundown AI@TheRundownAI·
Top stories in AI today: - Biohub’s new ‘world model of protein biology’ - OpenAI Foundation puts $250M behind AI disruption - Teach your AI agent to edit like you - An AI that keeps learning on the job - 4 new AI tools, community workflows, and more
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TBPN
TBPN@tbpn·
"I think the highest turnover job of any Silicon Valley executive position might be the CMO." Airbnb's @bchesky says he has a huge amount of respect for people in marketing because it's one of the hardest functions in a business. "Because once something works, it almost becomes stale. Because everyone does it." "Part of my theory is that what works in marketing changes every few years and you have to be adaptable. Your old playbook gets outdated." "It's this thing called 'banner blindness.' After you see something over and over, you tend to be blind to it, so you need a new tactic." From his appearance on the show earlier this month.
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Suryansh Tiwari
Suryansh Tiwari@Suryanshti777·
Claude Opus 4.7 didn’t just improve coding. It quietly killed the way most developers think about coding. But almost no one is using it the way Andrej Karpathy describes. People are still stuck in: “write this function” “fix this bug” “explain this code” That’s not wrong. It’s just… low-leverage thinking. Karpathy’s real idea? 👉 You don’t write code anymore. 👉 You design systems. 👉 You steer intelligence. And once you see it… you can’t go back. Here are 10 advanced prompts to use Claude Opus 4.7 like an actual engineering partner (not a tool):
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Elvis Kimara
Elvis Kimara@ElvisKimara·
I saw a clip recently — “vibecoding during big tech interviews.” Fun in 2024 when Roy Lee went viral, sure. But honestly? You’re better off going deep on AI research. The roles are shifting fast: Software Engineer → AI Engineer → AI Research/Data Science. Everyone’s an “AI engineer” now. Meanwhile 24–26 y/o interns are landing spots at top labs just by binge-watching LLM training talks and building something interesting. Back in 2023–24 there weren’t even internship slots at these places. Moral of the story: Work your way toward becoming the next Karpathy. Sounds hard, but the competition is way thinner than you think.
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now.arsenal
now.arsenal@now_arsenaI·
Mikel Arteta admitted when Arsenal finished second three years in a row, there were times when he had serious doubts about whether he was the man to get the club over the line. He said “I’ve taken this club so far but maybe someone else has to come in and finish the job.” He then revealed that Josh Kroenke told him, we’re going to do it and we’re going to do it with you. Josh Kroenke was never going to give up on Mikel Arteta. Ahhh I love it man. 🥹
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بحر 🌊
بحر 🌊@Butterflless·
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Beginnersblog
Beginnersblog@beginnersblog1·
GPT Image 2 + Seedance 2 = an animated cinematic universe. I was curious about what boundaries exist for AI storytelling continuity, so I built the world of Donotopia, a Pixar-style universe, filled with comedy, emotional arcs, destruction, big boss fights and continuity of multiple scenes. I was surprised with how powerful the workflow was: - Inside GPT Image 2, I generated 3x3 storyboard sheets with 3x3 scenes for a total of 27 scenes. - Each scene was designed and drawn as a step of pre-production in animation. - Heaps of images were generated, resulting in a Character Kit for a Bobo Gigglesworth, with references for facial expression, baggy clothes and personality. - Shot continuity was maintained in the scene diagrams. - The angles of the shots were directed as actual film, including crane shots, low angle shots, chaos shots and cinematic push-ins. - The destruction was choreographed with emotional arcs and continuity of the environment. - Seedance 2 was used to transform the drawings of the film into animated storyboard shots. The story evolved way beyond what I expected:
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Avi Chawla
Avi Chawla@_avichawla·
Karpathy's prediction about RL is coming true now! He called reward functions unreliable and argued that a single reward number is too low-dimensional to teach an agent what "good" means for complex tasks. To solve this, Agents need a knowledge-guided review as a higher-dimensional feedback channel. Every major AI lab trains models with RL today (OpenAI, Anthropic, DeepSeek). And their key bottleneck has always been the reward functions. GRPO by DeepSeek worked well for math and code because the environment gave a binary signal. But for real agent tasks, someone still has to hand-code the scoring function. That takes days and breaks every time the pipeline changes. RULER (implemented in OpenPipe ART, 10k stars) addresses the exact problem Karpathy identified. The reward criteria are defined in plain English, and an LLM evaluates each trajectory against that description to provide feedback for training. I trained a Qwen3 1.4B agent that plays 2048 using GRPO with this exact workflow. In this case, the agent saw the board, picked a direction, and RULER evaluated the outcome, all from this natural language definition. You can see the full implementation on GitHub and try it yourself. Here's the ART Repo: github.com/OpenPipe/ART (don't forget to star it ⭐ ) Just like RLHF replaced manual rankings and GRPO replaced the critic model, natural language rewards are replacing hand-coded scoring functions. RL reward engineering is now prompt engineering. I wrote a full walkthrough covering RL for LLM agents, from RLHF to GRPO to RULER, in the article below.
Avi Chawla@_avichawla

x.com/i/article/2048…

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munii
munii@m1nuyln2·
big gabi returning home as a prem champion.
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Elvis Kimara
Elvis Kimara@ElvisKimara·
“It’s not easy for a competitor to clone our product” isn’t a MOAT!
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Elvis Kimara
Elvis Kimara@ElvisKimara·
Sometimes as a tech bro, you have to remind yourself to touch grass! Like thinking about MRR morning, lunch, evening isn’t healthy nor a hobby!
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Ole Lehmann
Ole Lehmann@itsolelehmann·
Humanoid skills are about to make Claude Skills look like a joke Unitree just launched UNISTORE, an app store for humanoid robots. You can create, publish, buy, and deploy robot skills with one click across all their models. Just the motion library is live right now: basic moves, dances, martial arts, all available as free downloads. It's only out in China now (international coming soon). But the platform move is obvious: Unitree is building the iOS of physical robots. Now imagine what this looks like once it matures: Right now when you download a skill for Claude or Codex, it changes how your AI writes and works inside your computer. It's all just digital output, stuff that happens on a screen. But when you download a skill for a robot, it changes what a physical machine can do in your house, your warehouse, your office. One click and suddenly your robot knows how to make coffee. Another and it's running nightly inventory in a warehouse, sorting and logging without supervision. Another and it's harvesting ripe produce row by row from your garden, adjusting grip pressure for each fruit so nothing gets bruised. We're going from downloading apps for phones to downloading skills for AI to downloading physical capabilities for robots that operate in the real world. Very cool to think about. I made a visual of what this might look like in the future:
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How To AI
How To AI@HowToAI_·
Microsoft open-sourced a no-code data analysis tool! You drag and drop, type what you want, and AI builds the chart, transforms the data, and writes the SQL for you. → Works on screenshots, CSVs, and live databases → Connect OpenAI, Claude, or run Ollama locally → No $70/month seat. No PhD in DAX. 100% open source.
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Elvis Kimara
Elvis Kimara@ElvisKimara·
You are either sowing or harvesting. ~be mindful!
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Elvis Kimara
Elvis Kimara@ElvisKimara·
Paid for Claude 2 weeks late after not using it at all. Next billing date stays the same, so I lose 2 weeks of paid service. How is this not a scam? I’m already paying $100 for the max plan. And basically, I’ve been billed for tokens I never used! Advice. If you are late to pay. Just pay the $20 for that month!
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