Noah Faro

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Noah Faro

Noah Faro

@noahfaro

Co-Founder & CTO @farsight_ai - your AI OS for finance @forbes 30u30 AI | @mit CS

Manhattan, New York Katılım Kasım 2022
325 Takip Edilen132 Takipçiler
Klaas
Klaas@forgebitz·
saas is back
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Noah Faro
Noah Faro@noahfaro·
@gregisenberg Apple’s been doing it on your phone for years, should’ve nipped it in the bud then tbh It is a proven tactic in driving adoption for the new shiny item, model providers are just replicating the playbook
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GREG ISENBERG
GREG ISENBERG@gregisenberg·
Call me crazy but I think nerfing AI models should be illegal. Imagine buying a car and the manufacturer remotely downgrading your engine 6 months later. Not cool.
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Noah Faro
Noah Faro@noahfaro·
@celestepoasts nope, it’s a hedge against their next model’s training success imo
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Celeste
Celeste@celestepoasts·
did Xai just give up?
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Noah Faro
Noah Faro@noahfaro·
xAI is hedging literally everywhere as it tries to compete in the frontier model market - and honestly, it’s really smart. First, they invest $10B into Cursor - which feels totally out of nowhere. But now they get a new revenue stream and (from what I’m guessing) access to Cursor’s coding data to hopefully leapfrog Grok 4.3’s coding abilities, while giving Cursor some unused compute to train Composer in return. Not a bad deal. Now, they still have a ton of leftover compute even while training their next model. Giving it to Anthropic is a perfect hedge for that model’s success - either they build a SOTA model that competes with Claude and end up using some of that compute themselves, or they keep licensing compute to Anthropic and rake in money doing that. Again, not a bad deal. From Dune, lol: “He who controls the spice controls the universe.” Looks like @xai may be that guy
xAI@xai

SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude → x.ai/news/anthropic…

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Noah Faro retweetledi
Kunal Tangri
Kunal Tangri@TangriKunal·
We've been building AI-generated deliverables (Excel, PowerPoint, Word) for financial services for 3 years at Farsight. For most of that time, we were the only ones doing it. In the last 3 months, everyone from Anthropic to OpenAI has entered the space. Here's what I think actually matters: --- The biggest barrier to enterprise AI adoption isn't hallucination. It isn't cost. It isn't even security. It's slop. The gap between what AI produces and what a client would actually put their name on. --- Slop is a function of two things: 1) Polish - does the output look right? Formatting, structure, visual quality. 2) Judgment - does the output think right? Does it reflect the reasoning, domain knowledge, and taste of the person who requested it? --- Polish is necessary but not sufficient. You have to get the formatting, layout, and visual quality right. That's table stakes. But a perfectly formatted deliverable that goes in the wrong direction is still slop. --- Judgment is the hard problem. If I say "build me a pitch deck for Farsight" - what pages does it include? What framing? What level of detail? Now consider: if two different banks ask that same question, the correct answer might be completely different from one to the other. --- This is what I mean by judgment. It's not just "follow the prompt." It's: - How does this specific firm think about this type of analysis? - What has this specific user produced before? - What does "good" look like in their world, not in general? Capturing and applying that is the real unlock. --- This is where we're shifting our focus at Farsight. Polish got us here. We've spent 3 years making AI outputs that are genuinely client-ready. But the next chapter is judgment. Building systems that don't just produce clean work, but produce the right work for this user at this firm. --- I think this is going to be the dividing line in enterprise AI over the next 12 months. The companies that treat AI outputs as a formatting problem will plateau. The ones that figure out how to encode institutional judgment into their systems will win.
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ry@rywalker·
Anthropic is hunting enterprise workflows to productize. The contrarian bet: a probabilistic system will never match an agent built by someone who deeply understands how their specific company works.
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Noah Faro
Noah Faro@noahfaro·
Congrats, @blitzyai ! So excited for you
Blitzy@blitzyai

Today, Blitzy is announcing our $200M growth round at a $1.4B valuation, led by @northzoneVC with participation from PSG and @BatteryVentures. Backlogs never shrink. Modernization initiatives get deferred year after year. Features slip from quarter to quarter. Not because the work is unworthy, but because there are never enough engineers. Large-scale digital transformation is not constrained by vision or ambition. It is constrained by engineering velocity, product imagination, and mounting technical debt. The current SDLC was designed to augment engineers’ strengths and minimize their limitations in a world without AI. We built Blitzy from day zero for full autonomy. Blitzy reverse-engineers your codebase before writing a line of new code. Thousands of agents then work in parallel, bound by a pre-approved spec from your best engineers. Every output is validated against a knowledge graph of your architecture, dependencies, and conventions. The proof is in production: - Over 1 billion lines of enterprise code ingested across 10 industries inside the Global 2000 - Highest recorded SWE-Bench Pro score at 66.5% - Engineering velocity accelerated 5x on average, with mainframe migrations, platform consolidations, and new feature additions delivered in weeks instead of quarters Thank you to Flybridge, Link Ventures, NFX, Picus Capital, and Venture Guides for believing early, when these bets were not yet consensus and for sharing our mission to build enduring AI companies in Boston. Thank you to our customers for trusting us with their most important workloads. And thank you to the team for the long nights and the unrelenting focus on customer outcomes. Finally, thank you to @Forbes and Sofia Chierchio for telling our story

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Noah Faro
Noah Faro@noahfaro·
@AlexMasmej Do you actually think that they will? I feel like they have been incredibly targeted in their releases compared to Anthropic so far, and that has its +/-
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Alex Masmej
Alex Masmej@AlexMasmej·
OpenAI has the opportunity to ship weekly, like Claude did, surpass them on compute and win the trial against Elon All in the next 1-2 months Excited to follow
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Noah Faro
Noah Faro@noahfaro·
@andruyeung @brian_armstrong After leading that many direct reports myself, even with AI it is going to be difficult to effectively manage them (especially if you are also an IC). The people and coordination aspects of a company are nontrivial to automate with AI compared to the execution itself
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Andrew Yeung
Andrew Yeung@andruyeung·
Coinbase is cutting 14% of its staff because of AI. But @brian_armstrong (founder, CEO), shared a few things in his memo that most ppl will miss: 1. "No pure managers." Every leader has to be a working individual contributor. The pure people-manager role, the one that built most corporate career ladders for the last 50y, no longer exists at Coinbase. 2. Leaders will have 15+ direct reports. That is insane. Previously, managers capped out at 6 directs. This would be IMPOSSIBLE without AI. 3. Coinbase is testing "one person teams" where a single person is the engineer, the designer, and the PM. A pod of one with agents. Org structures are being redesigned in front of our eyes.
Brian Armstrong@brian_armstrong

This is an email I sent earlier today to all employees at Coinbase: Team, Today I’ve made the difficult decision to reduce the size of Coinbase by ~14%. I want to walk you through why we're doing this now, what it means for those affected, and how this positions us for the future. Why now Two forces are converging at the same time. We need to be front footed to respond to both. First, the market. Coinbase is well-capitalized, has diversified revenue streams, and is well-positioned to weather any storm. Crypto is also on the verge of the next wave of adoption, with stablecoins, prediction markets, tokenization, and more taking off. However, our business is still volatile from quarter to quarter. While we've managed through that cyclicality many times before and come out stronger on the other side, we’re currently in a down market and need to adjust our cost structure now so that we emerge from this period leaner, faster, and more efficient for our next phase of growth. Second, AI is changing how we work. Over the past year, I’ve watched engineers use AI to ship in days what used to take a team weeks. Non-technical teams are now shipping production code and many of our workflows are being automated. The pace of what's possible with a small, focused team has changed dramatically, and it's accelerating every day. All of this has led us to an inflection point, not just for Coinbase, but for every company. The biggest risk now is not taking action. We are adjusting early and deliberately to rebuild Coinbase to be lean, fast, and AI-native. We need to return to the speed and focus of our startup founding, with AI at our core. What this means To get there, we are not just reducing headcount and cutting costs, we’re fundamentally changing how we operate: rebuilding Coinbase as an intelligence, with humans around the edge aligning it. What does this mean in practice? - Fewer layers, faster decisions: We are flattening our org structure to 5 layers max below CEO/COO. Layers slow things down and create coordination tax. The future is small, high context teams that can move quickly. Leaders will own much more, with as many as 15+ direct reports. Fewer layers also means a leaner cost structure that is built to perform through all market cycles. - No pure managers: Every leader at Coinbase must also be a strong and active individual contributor. Managers should be like player-coaches, getting their hands dirty alongside their teams. - AI-native pods: We’ll be concentrating around AI-native talent who can manage fleets of agents to drive outsized impact. We’ll also be experimenting with reduced pod sizes, including “one person teams” with engineers, designers, and product managers all in one role. In short: AI is bringing a profound shift in how companies operate, and we’re reshaping Coinbase to lead in this new era. This is a new way of working, and we need to leverage AI across every facet of our jobs. To those who are affected I know there are real people behind these decisions — talented colleagues who have poured themselves into this company and our mission. To those of you who will be leaving: thank you. You’ve helped build Coinbase into what it is today, and I am sincerely grateful for everything you've done. All impacted team members will receive an email to their personal account in the next hour with more information, and an invitation to meet with an HRBP and a senior leader in your organization. Coinbase system access has been removed today. I know this feels sudden and harsh, but it is the only responsible choice given our duty to protect customer information. To those affected, we will be providing a comprehensive package to support you through this transition. US employees will receive a minimum of 16 weeks base pay (plus 2 weeks per year worked), their next equity vest, and 6 months of COBRA. Employees on a work visa will get extra transition support. Those outside of the US will receive similar support, based on local factors and subject to any consultation requirements. Coinbase prides itself on talent density. Our employees are among the most talented people in the world, and I have no doubt that your skills and experience will be highly sought after as you pursue your next chapters. How we move forward To the team that is staying, I know this is a difficult day. We’re saying goodbye to colleagues and friends you've been in the trenches with. But here’s what I want you to know as we move forward together: Over the past 13 years, we have weathered four crypto winters, gone public, and built the most trusted platform in our industry. We’ve made it this far by making hard decisions and by always staying focused on our mission. This time will be no different – nothing has changed about the long term outlook of our company or industry. And most importantly, our mission has never been more important for the world. Increasing economic freedom requires a new financial system, and we’re building it. The Coinbase that emerges from this will be more capable than ever to achieve our mission. Brian

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Noah Faro
Noah Faro@noahfaro·
Julien Bek from Sequoia (@JulienBek) said two months ago that selling the work, not the tool, is the next step change in the AI landscape. We saw it play out in real time today at a massive scale with Anthropic and OpenAI's launching of their services arms. Although they are putting actual manpower (for now) behind their version of autopilots as Julien called them, it remains the same that the end consumer just wants the outputs, not the thing to build it. From his article: "The next $1T company will be a software company masquerading as a services firm." How about the next two?? 🙃 sequoiacap.com/article/servic…
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Noah Faro
Noah Faro@noahfaro·
@0xidanlevin Even with AI coding going crazy in the past 6 months, software job openings are currently growing (actually are the highest in the past 3 years according to @BusinessInsider) - more accessibility to creating software means more opportunities to create impactful software, imo
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idan levin
idan levin@0xidanlevin·
I think people will be surprised in two years: 1) Software engineering isn’t going anywhere 2) The top companies will see exponential productivity gains from AI 3) The rest of the market will see far smaller gains than expected There will still be SaaS. People will still buy software.
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Noah Faro
Noah Faro@noahfaro·
@jasonfried There was this chart a few days ago that I can't find for the life of me, but it showed exponential growth in the # of vulnerabilities exploited in deployed software over the past few months - wonder if it's from us getting better at finding issues or from pushing less reliably
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Jason Fried
Jason Fried@jasonfried·
The faster people can get to something 80% done and unstable, the more they are going to crave stuff that's already 100% done and reliable.
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Noah Faro
Noah Faro@noahfaro·
@pgasawa What is your assumption as to why a deeper reasoning model like Opus perform worse at both gain and initial reward than Sonnet? Seems like the same trend exists for the Gemini models on your leaderboard
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Parth Asawa
Parth Asawa@pgasawa·
Most evals ask the question: “how capable is a static trained model at this distribution of tasks?” We think benchmarks like ARC-AGI take steps in the right direction to force models to learn new patterns online. With Continual Learning Bench, we ask a different question: can we measure how well learning systems adapt and improve by leveraging what they learn in real world, stateful environments? (2/n)
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Parth Asawa
Parth Asawa@pgasawa·
Today, we’re releasing Continual Learning Bench 1.0: the first, realistic benchmark for measuring how AI systems can improve in online settings. Benchmarks today assume models are stateless. Each example is independent, and once a system finishes a task, it moves on as if nothing happened. But deployed AI systems should learn from experience. We tested 10+ frontier systems against novel, expert-validated tasks and find there’s still plenty of headroom for learning. (1/n)
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Noah Faro
Noah Faro@noahfaro·
@Polymarket Anthropic and OpenAI doing this at the same time is not a coincidence - growth strategies consistently feel similar
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Polymarket
Polymarket@Polymarket·
JUST IN: OpenAI launches joint venture “The Deployment Company” to help businesses adopt its AI.
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Noah Faro
Noah Faro@noahfaro·
@ai_for_success How do you get an activation code? Would love to try this! Seems super impressive
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AshutoshShrivastava
AshutoshShrivastava@ai_for_success·
Flowith just dropped Agent Neo and the gap between human jobs and AI just narrowed dramatically. Been using it for a week now and it's freaking nuts. - UNLIMITED workflow steps, can runs for hours - Cloud execution for intensive tasks - Nested agent hierarchies with sub-agents - Knowledge marketplace to monetize expertise I built this entire game design document in one prompt. More details below: 👇
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Noah Faro
Noah Faro@noahfaro·
This is awesome - I've spent way too much time in the history tab of chrome trying to find webpages, Dewey is an infinitely better solution
Kunal Tangri@TangriKunal

Microsoft + Apple are building AI-enabled recall into their next devices. I built a version of this to recall websites I've visited - usable today. With Dewey, instantly save and semantically search important webpages, all run on your own device. Download the extension here: chromewebstore.google.com/detail/dewey/k… Highlights: 🔎 Fully semantic search via the wonderful transformers.js (by @xenovacom) 🔒 Everything run and stored on your own computer 🎮 Full control over what is saved

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