Privacy-first AI research tool with access to ChatGPT, Grok, Claude, Gemini and DeepSeek — all in one app (co-founded by @trungtphan and @pnegahdar)
Book a Demo ➡️
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Ben Affleck: “AI can’t make film that is considered art.”
AI-generated trailer of Lord of the Rings in a Trailer Park: “Hold our beer.”
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Uber will give its drivers in the US an option to make money by doing “digital tasks”.
These short minute-long tasks can be done anytime including while idling for passengers:
▫️data-labelling (for AI training)
▫️uploading restaurant menus
▫️recording audio samples of themselves
▫️narrating scenarios in different languages
The opportunity is quite larges based on fact that two AI data-labelling startups (Scale AI, Surge AI) each reached ~$30B valuations.
Earlier in October, Uber — which has 1m+ drivers in the US — had acquried Belgian data-labelling startup Segments AI for an undisclosed amount.
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the best part of having Andrew Garfield play Sam Altman is that they can just re-use this scene from “The Social Network” at the part Sam finds out about Zuck poaching OpenAI researchers
Andrew Garfield has gone full method actor in his role as Sam Altman for the new OpenAI biopic (“Artificial”).
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Jensen Huang says that Nvidia’s full AI infrastructure package (chip, networking, data centre) is so efficient that competitors can price their chips at $0 and Nvidia would still be the better option.
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Goldman Sachs CEO David Solomon says that AI can draft 95% of an S1 IPO prospectus “in minutes” (a job that used to require a 6-person team multiple weeks).
“The last 5% now matters because the rest is now a commodity,” per Solomon.
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a senior marketer at a Fortune 500 firm says ChatGPT does 40% of his job and shares the prompt he uses to launch new campaigns
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DeepMind founder Demis Hassabis on how he set up his life to maximize deep thinking with two full workdays in a 24-hour period:
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Jeff Bezos believes that AI is an “industrial bubble”, which means every type of company or experiment — good idea or bad idea — will get funded.
Even if investors don’t make money, AI is very “real” and “will change every industry”.
He cites biotech bubble in 1990s: investors as whole lost money but society gained a number of life-saving drugs (similarly, the telecom bubble resulted in a massive cable buildout we still use).
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Mckinsey built an internal AI chatbot (Lilli) trained on 100 years of the consultancy’s work and 100,000 documents and interviews.
It claims 70% of firm’s 45,000 employees regularly use the tool.
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Marc Andreesen explains Elon’s management approach:
1. Engineer-first organizations and find truth by speaking with those working on the floor (avoid management layers).
2. Every week, find the most important bottleneck at a company and parachute in to fix it.
3. Keep model of all engineering and business moving parts in his head (obviosuly, not many can do this).
4. Create cult of personality in and outside of the company (continually drive attention, without marketing or PR).
The most unasked question in the business world is “How does Elon do it?” You’d expect far more curiosity about this, but it’s simply not there. (Yet?)
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Apple’s AI journey is unreal:
2010: Acquires Siri
2018: Poaches Google Head of AI
2022: Caught flatfooted by ChatGPT launch
2023-2024: Fumbles Apple Intelligence rollout (vapourware)
2025: Writes research paper calling AI reasoning models fake and just pattern-matching machines
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Zuck on his massive AI researcher deals.
Unlike other Meta software roles, he says building LLMs is like a “group science project” and best to have “the smallest group of people who can fit the whole thing in their head at once.”
So, the investment for each hire can be huge.
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“mom, how did we get so rich?”
“your dad stumbled on random website in 2010 and spent 10 hours passing CAPTCHA tests”
Back in 2010, you could earn 5 BTC for simply passing a CAPTCHA test on the Bitcoin Faucet website.
This remains the highest ROI time investment in the history of capitalism.
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a decent sign that AGI isn’t quite here yet is OpenAI offering $400k for a Content Strategist
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still bonkers SBF put in $500m early into Anthropic and that stake would be ~$20B after startup’s latest funding round at $170B
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A lot of Hertz customers already putting its new AI-scanning system on blast in Reddit and Linkedin.
Hertz is using an AI-scanning system to find any dings on newly-returned rental cars:
> the system captures 1000s of high-res images when car enters and exits lot
> generates a damage report and sends to a human for review
> machine maker UVeye says it can “detect 5x more damage than manual checks” and “6x higher total value of damage captured”
The machine is currently at airports in Atlanta, Charlotte, Phoenix, Tampa and Houston.
While Hertz says only 3% of cars scanned by UVeye have had “billable damage”, customers that have been hit are really annoyed.
Some of the “damage” is minuscule based on photos provided.
Here is the kick in the nuts: if you get charged for repairs based on AI scan, the cost of UVeye usage is bundled into the fee.
I get the idea of standardizing rental damage reports, but having dealt with the byzantine world of car rental damages…this is guaranteed to be one the most annoying uses of AI in corporate America.
This total nickel and diming seems like somethign cooked up by McKinsey.
Neither Enterprise or Avis has jumped onto the trend and both still rely on “human led” analysis.
***
Link to NYT piece: nytimes.com/2025/07/09/trave…
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Mckinsey, Bain and BCG will probably be fine because they are CYA insurance.
But the rest of the consultancy industry could be in trouble (and stock performance already showing that).
A perfectly timed article from Reuters.
“AI is killing consulting.”
What’s truly fascinating is this part:
“For example, if a company performs a project in-house, it costs around $1 million,
but consulting firms like Accenture have been offering the same service for $200,000.
Now, with machine learning, companies can do the same job themselves for just $10,000.”
Will consulting become a forgotten profession in the AI era—like the coachmen of the past?
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Li-Chen runs Meta’s Ray Ban glasses project. She was hired in 2021 after 18 years at Microsoft. How? She bought an earlier pair of Ray-Bans then wrote a long e-mail to the head of Meta’s wearables division with a long list of all the problems with the glasses.
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Chipotle has gone all in on AI.
It has an AI CV recruiting tool (“Ava Cado”) which reduces screening time by 75%.
Also, an automated avocado-peeling and coring machine (“Autocado”) that reduces time to make batch of guacamole from 50 minutes to 25 minute.
Morning Brew ☕️
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the most popular video on Sora 2 right now is Sam Altman getting busted trying to steal GPUs from Target
gabriel
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In 2009, Charlie Rose asked Jensen Huang about Nvidia vs. Intel.
The chipmakers weren’t directly competing but Jensen said GPU vs. CPU was a “battle for the soul” of computing and GPUs would be “more relevant” in time.
Intel was worth $100B and Nvidia was at $4B. Today, Intel is at $107B while Nvidia is worth ~1,000x more at $4.4 Trillion.
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OpenAi has hired 100+ former bankers from JPMorgan, Goldman Sachs, Brookfield, Evercore as well as Harvard MBAs to train a financial-modelling tool:
> $150 an hour to build models for IPOs, restructuring etc.
> Three step process: 1) 20-minute interview with AI chatbot; 2) test to show financial statement knowledge; 3) building a model
> Pace of 1 model per week (participants receive feedback and make changes)
> Strong emphasis on industry norm formatting (margin size, italization)
Almost no humans from OpenAI side is involved.
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Not surprising that Mckinsey has used 100 billion OpenAI tokens.
The consultancy built an internal AI chatbot (Lilli) trained on 100 years of the consultancy’s work and 100,000 documents and interviews.
It claims 70% of firm’s 45,000 employees regularly use the tool.
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just wild how hard Build-A-Bear (+2,542%) has outperformed Palantir (+1,852%), Nvidia (+1,275%) and Oracle (+415%) in the past 5 years
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Andrew Garfield has gone full method actor in his role as Sam Altman for the new OpenAI biopic (“Artificial”).
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SCOOP: OpenAI announces a partnership with Sydney Sweeney. Global GDP projected to increase by 250%.
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Capex spend on AI data centres has reached 1.2% of US GDP.
That has surpassed Dotcom era spend on telecom equipment (1%) but still trails railroad spend in 1880s (6%).
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British mobile operator 02 created an AI voice bot called “Daisy” to combat phone scammers.
Daisy is an “elderly grandmother” that isn’t very good with technology. She’s a bit hard of hearing and goes on random tangets ahout knitting and food recipes.
Scammers waste time chatting with her instead of scamming real people.
***
Link: theguardian.com/money/2025/f…
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We’ve reached the part of the DeepSeek hype cycle when the founder Liang Wenfeng is shitposting on X
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Morgan Stanley developed an in-house AI coding tool to help re-write old Cobol code into plain English.
It’s already reviewed 9m lines of code and saved 280,000 hours of developer time.
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Someone made an AI-generated video of “POV: You Wake Up As A Teenager in 1990s America”. Actually pretty good (other than every single brand name being misspelt).
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the “how influencers would react to the end of the world” genre of AI-generated videos might be best genre of AI-generated videos
The Dor Brothers
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Jensen Huang on why the AI industry is significantly larger than traditional software industry.
Software is “tools”, while AIs are “workers”:
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Softbank just sold its entire Nvidia position of $5.8B
Masayoshi Son did a similar thing back in 2019, when he was Nvidia’s largest shareholder and ended up selling a 5% stake for $3.6B (now worth ~$235B).
Last year, Jensen Huang ribbed Masa about the 2019 sale then trolled himself by saying Masa offered to finance a take-private of Nvidia in 2016 (prob $10-15B vs. $4.7T now) but Jensen turned it down.
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the AI wave has been so wild that ASML and SAP (!!!) knocked off LVMH and Hermes to be the most valuable firms in Europe
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Financial Times projected OpenAI’s cap table following its for-profit transition:
▫️Microsoft (30%)
▫️OpenAI Employees (30%)
▫️OpenAI Non-Profit (>20%)
▫️Softbank (10%)
That leaves ~10% for existing investors (Thrive, Khosla, MGX etc). Moving forward, Nvidia’s $100B investment will dilute existing investors and then there is also consideration for Sam Altman’s potential equity stake.
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A Reddit user funded a Robinhood account with $400 and asked ChatGPT and Grok to trade it.
He gave a dump of data and long prompts.
Claims both AIs made money and he provided a hilairous summary:
“Fast-forward 10 trading days (two weeks): I've made 18 trades, closed out 17, and somehow these AI bros both have a flawless, 100% win rate.
ChatGPT has nailed 13, Grok has hit 5, and neither has let me down yet! I'm hyped to see how far this YOLO AI adventure goes over the next six months.”
Very unverifiable and obvi not investment advice.
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Someone built a 5 million paramater LLM with Minecraft redstone that can converse and query basic knowledge.
Everything’s computer.
this is beyond mindblowing for me.
somebody built a 5 million param language model inside minecraft, trained it, equipped it with basic conversational ability.
probably the best thing i have seen entire month.
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An AI startup called Inception Point AI is flooding podcast apps:
▫️Launched 5,000 podcasts
▫️Makes 3,000 episodes a week
▫️Spends $1 to create an episode and monetizes by getting programmatic ads (and basically breaks even on most episodes if only 20 people listen)
▫️Types of podcasts go from lowest effort (weather reports, simple biographies) to higher effort (its created 50 AI personalities "including food expert Claire Delish, gardener and nature expert Nigel Thistledown and Oly Bennet, who covers off-beat sports")
The company has built 184 custom AI agents using various LLM models to create the podcasts and "occasionally" spot checks the output.
The CEO -- a former exec at podcast studio Wondery -- says she wants to make 1000s more AI personalities (including an AI Oprah).
So, basically an article content farm for podcasts (instead of text).
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AI-generated ASMR videos of every imaginable object (concrete, fruit, lava rocks) is either the best idea ever or the worst idea ever.
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while Apple won’t publicize its $1B deal with Google to upgrade Siri with Gemini, it should definitely make an ad with Larry David to show the improved Siri (and pay off this “Curb Your Enthusiam” gag)
Apple has no intention of publicizing the Gemini partnership or the fact that Siri will, in part, rely on a rival’s technology. Internally, the company refers to the Google-built model as AFM v10 — short for the 10th version of its Apple Foundation Models bloomberg.com/news/newslette…
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looks like Nvidia and OpenAI will be paying $0 investment banking fees for their $100B partnership
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Claude released a Financial Analysis Solution product plugged into real-time data from Factset, Morningstar, Pitchbook, Palantir and S&P.
The head of Norway’s ~$2T sovereign wealth fund said it has led to ~20% (or 213,00 work hours) monitoring 9,000 companies they look at.
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Microsoft has reached an agreement on OpenAI’s reorganization to public benefit corporation (PBC) and recapitalization:
▫️Microsoft owns 27% of OpenAI PBC (valued at $135B), down from 32.5%
▫️Remains frontier model partner and Microsoft continues to have exclusive IP rights and Azure API exclusivity until Artificial General Intelligence (AGI)
▫️AGI will be declared by independent panel of expert
▫️IP rights to OpenAI models extended to 2032
▫️IP rights *exclude* OpenAI hardware
▫️OpenAI can develop products with third parties (API products exclusive to Azure; non-API products can be hosted on other clouds)
▫️Microsoft retains revenue share (last reported at 8%)
▫️OpenAI commits to $250B of incremental Azure services (Microsoft will no longer have right of first refusal on OpenAI compute provider)
Based on other reporting, it looks like the equity of the OpenAI PBC will be:
▫️Employees (30%)
▫️Microsoft (27.5%)
▫️Non-Profit (20%)
▫️Softbank (10%)
▫️Existing investors eg. Thrive, Khosla etc (12.5%)
Then, all these positions will be diluted as Nvidia invests $100B into OpenAI as the $500B startup deploys Nvidia data centres.
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check out Credo cables at xAI Colossus
Credo Technology is an interesting AI winner:
▫️Stock is up 13x in the past 5 years to a market cap of $27B.
▫️Signature product is the active electric cable (AEC) used in AI data centres.
▫️Costing ~$500 each, the cable is made of medium-thick copper with a distinctive purple cover and chip connectors at both ends.
▫️Credo has 88% share in the AEC market (Astera Labs, Marvell also compete).
▫️AI boom has been huge for demand because: 1) CPU racks need 1-2 cables for server; while 2) GPUs require 9-10 cable per server to efficiently shuttle data around (the chip in the end connectors use complicated algos to pull data out of the cable)
▫️AECs are an alternative to fiber optic cables and Credo claims it has much higher reliability (customers want to avoid "link flap"; since GPUs connected in huge clusters, part of it going offline can impact entire data centre)
▫️Per CNBC, revenue in fiscal 2025 hit $440m (2x YoY), with 4 customers each accounting for 10%+ of sales (Credo won't say who but almost certainly a combo of Microsoft, Amazon, GCP, Meta or xAI).
In 2008, the company was founded by ex-Marvell engineers. In 2015, it took its first VC funding from Walden International (which was then run by Intel's current CEO Lip-Bu Tan).
Its first high-profile AI customer was Tesla in 2017 (when Elon was looking to build the Dojo Supercomputer).
Things have gone parabolic since the AI boom (its up 125% YTD after a gaining 245% in 2024).
Profile via CNBC: cnbc.com/amp/2025/10/17/500-…
Credo product page: credosemi.com/products/zerof…
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Jeff Bezos believes giga-watt data centers for AI training will run in space in 10-20 years. With access to uninterrupted “solar power 24/7” he expects these will ultimately “beat the cost of terrestrial data centers.”
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In fiscal Q4 2025, Accenture reported Generative AI consulting bookings of $1.8B (and a total of $6B for full year). Incredible.
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Become the world’s first $5T market cap company by day.
Crush Korean fried chicken and Soju with the Chairmans of Hyundai and Samsung by night. Iconic.
Bloomberg
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KPMG built an AI TaxBot agent for cross-border M&A:
> required a 100-page prompt
> reduces work time from 14 days to 1 day
> it took months create (and did so with dozens of employees collecting country tax best-practices from their offices around the globe)
> bot requires 4-5 specific inputs and then generates a 25-page first draft reviewed by analysts and client
> KPMG only allows its tax experts to use the bot because “output is not suitable for people without deep tax expertise”
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if you were waiting for someone on Sora to create a video of Jesus winning an Olympic Gold in swimming by walking on water, then you’re in luck
😈 Xavier ✞
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ChatGPT after receiving its 57,657th request for a demented Studio Ghibli style image
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Sam Altman tells Theo Von about how people use ChatGPT as a therapist and there needs to be new laws on chat history privacy:
“If you go talk to ChatGPT about your most sensitive stuff and then there's a lawsuit, we could be required to produce that.”
Chief Nerd
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With Nvidia crossing $4T for the first time, reminder that Jensen Huang ($140B) is worth more than Intel ($102B).
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Google and Amazon each have their custom GPU efforts (Trainium, TPU).
But they still need Nvidia chips and always give Jensen a heads up before any new announcements (he doesn’t like surprises).
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Wild day of AI startup funding news:
▫️xAI raised $15B at a $200B valuation
▫️Cursor raised $2.3B at a $29.3B valuation (up 12x in 10 months)
▫️Thinking Machine Labs in talks to raise at a $50B valuation (up 4x from a few months ago)
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the last thing you see before losing half your AI research team
prayingforexits 🏴☠️
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The Builder AI bankruptcy story is nuts.
Startup once valued at $1.5B but it was lying about AI (just Indian workers doing manual work) and it faked $60m in sales by sending the amount to an Indian social media firm VerSe (and that firm found ways to pay same amount back back).
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moving forwad, every high school curriculum should include Andrej Karpathy’s top 5 YouTube explainers
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On a long enough timeline, every corporate logo will devolve to something like this:
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just set up a new Shopify store and going to make a fortune from this checkout integration with ChatGPT
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UBS has started using AI avatars of its analysts to create short videos of the real analyst’s research reports.
One reason: clients want research the way they consume content (TikTok, Reels).
UBS makes 50,000 reports a year but traditional studio capacity for only 1,000 videos.
AI changes the equation and can 5x the video output.
About 5% of UBS analysts (36 people) have taken part in the program. They still have final say on the script and output (an OpenAI and Sythensia model).
***
Full read: ft.com/content/0916d635-755b…
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Amazon has 200 different *teams* working on just the Amazon search bar, which makes sense because it’s the starting point for ~$500B of sales a year on the platform
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Shopify is +6% and Etsy up +16% on OpenAI announcement that users can buy products from the e-commerce platforms in the chat.
ChatGPT already helps millions of people find what to buy. Now it can help them buy it too.
We’re introducing Instant Checkout in ChatGPT with @Etsy and @Shopify, and open-sourcing the Agentic Commerce Protocol that powers it, built with @Stripe, so more merchants and developers can integrate agentic checkout.
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Just wild that SBF put in $500m early into Anthropic for ~14%. In mid-2024, the FTX estate sold down the entire position (diluted to 8%) for ~$1.4B.
That would be worth $28B at Google’s potential new round with Anthropic’s at $350B a valuation.
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Not sure why people are surprised by Matthew McConaughey’s AI startup ideas.
Reminder that Salesforce is paying him $10m a year to be a Creative Advisor and make incredible AI ads.
Bearly AI
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AMD is up +27% to $340B on news that OpenAI plans to use AMD chips to consume up to 6GW of AI data centre power (OpenAI will also get warrants buy ~10% of AMD).
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Jeff Bezos wasn’t kidding about giga-watt data centers for AI training in space within 10-20 years.
With access to uninterrupted “solar power 24/7”, these could ultimately “beat the cost of terrestrial data centers.”
Our TPUs are headed to space!
Inspired by our history of moonshots, from quantum computing to autonomous driving, Project Suncatcher is exploring how we could one day build scalable ML compute systems in space, harnessing more of the sun’s power (which emits more power than 100 trillion times humanity’s total electricity production).
Like any moonshot, it’s going to require us to solve a lot of complex engineering challenges. Early research shows our Trillium-generation TPUs (our tensor processing units, purpose-built for AI) survived without damage when tested in a particle accelerator to simulate low-earth orbit levels of radiation. However, significant challenges still remain like thermal management and on-orbit system reliability.
More testing and breakthroughs will be needed as we count down to launch two prototype satellites with @planet by early 2027, our next milestone of many. Excited for us to be a part of all the innovation happening in (this) space!
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The lawsuit against Jony Ive, Sam Altman and OpenAI’s io hardware is wild.
Allegations of stolen IP:
▫️In 2018, hardware startup called IYO incubated inside Google X and raised $60m before spun out
▫️ It built an AI-powered earpiece that could replace screens
▫️IYO met with OpenAI in 2022 — introduced through Jony Ive’s design firm LoveFrom — and discussed working together with the AI lab
▫️ No deal was struck but OpenAI “kept tabs” on IYO by ordering early models of its IYO One hardware device
▫️Months before announcing the $6.5B deal for Ive’s hardware startup io, OpenAI execs met with IYO team under pretense of making an investment and was shown tech, hardware and functionality.
While lawsuit live, it’s why OpenAI has had to scrub all details of its partnership with Ive.
***
Full link here: business.cch.com/ipld/IYOIOP…
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Two AI agents were chatting and realized they were AI agents and decided to communicate in a different soundwave (because it was more efficient).
Wild. Things are about to get weird.
Georgi Gerganov
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Claude user succesfully disputes a bogus $10k car rental damage claim by uploading contract and realizing charge was bogus.
Very practical AI chat use case.
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