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Alex Finn Praises Hark, a Proactive Agent With Adaptive Interface

Alex Finn Praises Hark, a Proactive Agent With Adaptive Interface▶

Alex Finn says the proactive AI agent Hark impressed him after a week of early access, and shares a video explaining its features. The post describes an interface that adapts to each user.

Original post · 1 min read
This new AI agent blew my mind

Hark is a proactive agent with a custom interface that completely transforms based on who you are

They gave me early access a week ago and I've really enjoyed using it

Here's everything you need to know about Hark:
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Sheel Mohnot Recommends Hark Pro for Its Proactive UX

Investor Sheel Mohnot recommends trying Hark Pro despite personal assistant fatigue, citing strong UX and non-intrusive proactive notifications. He quotes Brett Adcock's announcement that Hark Pro is live on web, iOS and Android.

Original post · 1 min read
You might have personal assistant fatigue at this point, but if you're up for signing up for another one, this one is a good one to try... UX and proactive pushes in particular are extremely good and not too annoying
Brett Adcock @adcock_brett
Introducing Hark Pro

Hark Pro is now live on web, iOS, and Android

Try it free: hark.com
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AI6/10

Teams Turn to AI Simulations to Test Product Ideas Before Launch

Teams Turn to AI Simulations to Test Product Ideas Before Launch

Lenny Rachitsky describes a growing trend of teams using AI user simulations to test product ideas and flows. He lists Simile, Primitive Labs, Synthetic Users, Tenera and Seldon and asks readers for experiences.

Original post · 1 min read
Trend I'm following: Teams using AI "simulations" to quickly test product ideas and flow tweaks.

Products like @simile_ai, @primitivelabsai, @syntheticusers, trytenera.ai, seldon.com/, and others.

If you've tried something like this, how'd it go?
trytenera.aiTenera | Predict how users react before software shipsSimulate real user behavior against product decisions before you build.seldon.comSeldon - Model what happens next.Seldon is a behavioral simulation platform for exploring how people make decisions, respond to change, and shape what happens next.
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Ta-Nehisi Quotes Post Mocks Noah Smith Over Public Exchange

Ta-Nehisi Quotes Post Mocks Noah Smith Over Public Exchange▶

A commentary account posts a video and quote-post praising Noah Smith in a heated online argument with a commentator, and criticizes left-leaning Twitter reaction to Ezra Klein's zoning remarks. The content is personal political commentary with no technology news.

Original post · 1 min read
.@L0m3z sputtering, red-faced, pleading w/ Noah Smith that he's only bullying Indian kids to HELP them integrate. Noah's the wrong guy to try this kind of argument on. It’s like trying to bullshit about wine to a dog. He calls @l0m3z a Pakistani. @L0m3z is left stunned. He's been bodied. Noah Smith is not the hero we deserve, but he is the hero we need.
Ta-Nehisi Quotes @steady_drumbeat
Noah Smith's power is his dumb guy confidence. The left is a nest of vipers waiting to pounce on anyone who expresses a positive stand on anything. Ezra Klein meekly suggests relaxing zoning rules on setbacks and lefty twitter reacts like he punched a pregnant woman in the stomach. In such an environment, it is the guileless moron who attains the status of sage. Because he just blithely says stuff.
youtube.com/watch?v=x-QBwwiselI
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Kyzo Introduces One, a Voice-Enabled Inbox for Talking With Agents

Kyzo Introduces One, a Voice-Enabled Inbox for Talking With Agents▶

Kyzo introduces One, a product that gathers agent questions in a single inbox, lets users talk to agents by voice and supports replies from an iPhone, including to cloud agents. The post is a product announcement video.

Original post · 1 min read
meet One, the new way for talking with your agents

• see questions from your agents in one inbox
• talk to those agents with your voice
• reply from your iPhone, even to cloud ones

most joyous product I've built so far.
enjoy!!!
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AI8/10

Meta and Sierra Announce Open Personal Agent Protocol Standard

Meta and Sierra Announce Open Personal Agent Protocol Standard

Bret Taylor announces the Personal Agent Protocol, an open standard being developed by Meta and Sierra with partners including Genesys, Shopify, Stripe and Walmart. It defines how personal agents interact with businesses and is open for anyone to implement.

Original post · 1 min read
Today we’re announcing Personal Agent Protocol — an open standard @Meta and @SierraPlatform are developing along with industry partners at @Genesys, @instinct, @RocketOTD, @Shopify, @stripe, and @Walmart. It will help define how personal agents interact with businesses and is open for anyone to implement. You can read more here - and if anyone is interested in joining let me know! sierra.ai/blog/introducing-personal-agent-prot…
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Jason Fried Endorses Graphical, a Tool for Designing Visual Languages

Jason Fried praises Graphical, a tool by Josh Puckett for designing visual languages and styling components with coding agents. The post quotes Puckett's launch announcement and links to graphicalui.com.

Original post · 1 min read
Josh always brings the good stuff.
joshpuckett @joshpuckett
Introducing Graphical.

It's a simple, powerful, and fun tool to design visual languages, style components, and work with coding agents to create interfaces that look memorable and feel unique.

I hope you'll check it out at graphicalui.com/!
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Oki Home Launches Personal AI Computer With Reservations Open

Vijay Shekhar Sharma compares the Oki Home personal AI computer to the Sun Ultra of the AI era. The quoted announcement says the device keeps user data local and takes reservations for a first batch shipping mid-December.

Original post · 1 min read
This is the Sun Ultra of ai era!
😇 @vkhosla
Luofei @Luofei_Chen
Say hello to Oki Home, your Personal AI Computer.

We're building a future of limitless, personalized intelligence for every consumer, while keeping all your data in your hands.

Reserve our first batch, shipping mid-december! okihome.ai
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Nat Eliason Details Fourteen Ways His Bot Setup Automates Work

Nat Eliason lists fourteen functions of his bot setup, including a chief-of-staff agent that drafts emails, specialist agents per work lane, and cloud coding agents that open pull requests from Linear issues. He notes GrokBot as a substantial improvement over his previous OpenClaw setup.

Original post · 2 min read
Things my @bot setup does that still blow my mind:

1. A Chief of Staff who opens the day pulling open loops from email & tasks and suggesting things it can knock out before 7am.

2. After every meeting, decisions get folded into Notion, Linear, and Todoist — not left rotting in Granola

3. Every email starts as a draft. The CoS bot scans my email every ~2hr and drafts replies to nearly everything — including checking my cal for availability and finding requested attachments / links

4. A specialist for each lane: curriculum, engineering, coaching, hiring, content, ops, and one for every single piece of software

5. Routines that keep running while I’m offline (e.g. monitoring Sentry errors in our apps and proactively fixing things)

6. Group rooms where 2–4 bots share one project thread instead of me copy-pasting context

7. Cloud coding agents that pick up Linear issues and open PRs after running the list of open work by me EoD — then squash-merge to main when it’s done

8. Meeting prep briefs pulled from Granola + Notion before I walk in

9. A growing shareable knowledge base in Notion + a GitHub repo that we update daily based on what happens at school

10. Student progress look-up across Expertise, Followers, and CoFounder without inventing numbers — chat anytime to see where a student is on their business work

11. Mentor Mind that coaches me on how to hold the bar without inventing doctrine

12. Todoist as a central task list where it logs things it’s blocked on for me, or from meetings / emails — and I can paste links into chat to direct it how to solve them

13. Engineering work is automatically tracked in Linear so my and the product teams’ bots don’t collide with each other

14. Presentations spun up in Gamma / Claude Design without me opening a slide tool

15. Plaud / live capture → notes the bots can actually act on

Probably more but these were the immediate ones we thought of.
Nat Eliason @nateliason
GrokBot feels like absolute magic at this point, a meaningful leg up on my previous OpenClaw etc. setups.

And with how easy it is to setup, there's really no excuse now.
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Anthropic Expands Claude Startups Program to More Founders

Anthropic Expands Claude Startups Program to More Founders▶

Claude announces that its Startups program is expanding, offering members a year of Claude Team, API credits, partner tool offers and office hours with Anthropic's Applied AI team. The announcement includes a video.

Original post · 1 min read
The Claude Startups program is expanding to more founders.

Members can get a year of Claude Team, API credits, special offers on the tools a startup runs on, and office hours with Anthropic’s Applied AI team.
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Arista's Andy Bechtolsheim Says AI Optics Demand Is Just Beginning

Arista's Andy Bechtolsheim Says AI Optics Demand Is Just Beginning▶

Fireside Alpha shares remarks from Arista's Andy Bechtolsheim, who says AI has made optics demand roughly tenfold larger in five years and that another order of magnitude in bandwidth is needed. A companion post cites Meta's Reels watch-time gains from better recommendation models.

Original post · 1 min read
$ANET Andy Bechtolsheim says AI has made optics demand about 10 times bigger in five years and the industry is only at the "very beginning"

"So I guess I don't need to tell you that AI has been driving this incredible increase in demand for high-speed optics, which is probably now 10 times bigger than it used to be five years ago..."

"And what I want to talk to you today is that we're not at the end of this journey, but rather the very beginning. There's easily another order of magnitude increase in bits needed for the next generation kind of data centers."

"So what I want to talk about first is what's happening at the data center level, and how we as an industry have to get together to solve these problems of this very rapid and high demand growth as fast as possible, since AI can't wait."
______
For full set of takeaways to Andy's AI Datacenter and Optics lecture: firesidealpha.substack.com/p/aristas-andy-bech…
Fireside Alpha @firesidealpha
$META Devansh Tandon reveals the tokens-in, engagement-out flywheel behind Meta's recommendation system, where better models lift Reels watch time 30% and the monetization pays for the next training run

"These scaling curves aren't just academic research. They're driving real product impact at scale for some of the biggest consumer businesses in the world."

"Here's a couple of examples I have from Meta's recent earnings reports. Instagram Reels had a strong quarter, 30% year on year watch time."

"And the optimizations we made to improve the quality of recommendations included simplifying ou…
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Levelsio Predicts Coastal and Mountain Land Will Gain Value After AGI

Pieter Levels says he owns property in scarce coastal and mountain areas and plans to keep buying there, reflecting a thesis that people with money will move to the nicest places once AI makes work pointless. He is quoting a post by IterIntellectus making the same claim.

Original post · 1 min read
I own land and property in exactly these areas and will keep buying land and property in these areas

This is exactly my post-AGI thesis too

Scarse coastal or mountain land with clean air
vittorio @IterIntellectus
once ASI is here and living somewhere because of "work" becomes pointless, people with money will just move to the nicest places on earth

Mediterranean climate, ocean, mountains, good food, beautiful isolated towns

places like this are going to become insanely valuable
probably worth buying real estate there now
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NSF America's Seed Fund Reopens With Up to $1.55M in Grants

NSF America's Seed Fund Reopens With Up to $1.55M in Grants

Ksenia Moskalenko reports that the NSF America's Seed Fund has reopened after reauthorization, offering non-dilutive funding up to $1.55M across three tracks. The post lists eligibility rules, a 3-page pitch step, and a November 4 full-proposal deadline.

Original post · 1 min read
The US government will give your startup up to $1.55M and take 0% equity.

@NSF's America's Seed Fund is open again after Congress reauthorized it in April.

Three tracks:
- Phase I: up to $305K to prove the idea
- Phase II: up to $1.25M to build it
- Fast-Track: up to $1.55M, both phases in one go

Who can apply:
- US-based startups with 500 or fewer employees
- 51%+ owned by US citizens or permanent residents
- Not majority owned by VCs
- All the work done in the US

How it works:
- Send a 3-page Project Pitch first
- NSF invites the best ones to submit a full proposal
- Next full proposal deadline: Nov 4

Phase I funding rates have run about 10 to 20%. It's work, but nobody takes your cap table.

Application link 👉 seedfund.nsf.gov

Bookmark and tag a tech founder who needs this.
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Developer Says Opus 5.5 Recreated Adobe Apps in Rust and Open-Sourced Them

Developer Says Opus 5.5 Recreated Adobe Apps in Rust and Open-Sourced Them

Kevin Picchi claims one developer used Opus 5.5 to re-create all Adobe applications, port them to Rust and release them as open source. The post is brief and shares a media attachment.

Original post · 1 min read
This guy re-created all the adobe apps with opus-5.5, ported them to rust, and opensourced them

something really cool is happening
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Alex Mason Predicts Market Decline Based on Midterm Year Pattern

Alex Mason Predicts Market Decline Based on Midterm Year Pattern▶

Alex Mason argues the S&P 500 at record highs is a trap, citing a historical midterm-year pattern of May-to-October declines and current rate, inflation and Iran-war concerns. The post is market speculation promoting his following, with a video quoting a similar prior post.

Original post · 1 min read
This is exactly what I told you would happen.

S&P 500 is at all-time highs, but the real macro support is still far below.

16 out of 17 midterm years proved one thing:

Every pump before the 200 EMA touch ended the same way.

Dump.

Remember, I’ve been trading markets for over 15 years.

When I EXIT the markets completely, I’ll say it here publicly, like I always do.

Turn notifications on.

If you’re not following yet, you’ll understand why that was a mistake later.
Alex Mason 👁△ @AlexMasonCrypto
🚨 S&P 500 JUST ENTERED A 94.1% TRAP

16 out of the last 17 midterm election years, the S&P 500 fell from May to October.

16 out of 17.

That is a 94.1% hit rate.

Some of the worst drops:

1974: -32%
2002: -30%
1962: -21%
1966: -21%
2022: -19%

May → October. Over and over again.

Now look at 2026:

Rate hikes are back on the table.

Inflation just hit its fastest pace in 3 years.

The 10Y yield is above 4.60%.

Mortgage rates are back above 6.5%.

War with Iran is escalating.

And the S&P 500 just hit a new all-time high.

The market gives you strength at the worst possible time.

Midterm y…
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Trump Administration Declines International Election Monitors for Midterms

A post warns of election interference after the administration reportedly refused OSCE observers for the first time in over two decades, a choice that aligns the U.S. with Russia and Belarus. The Justice Department is reportedly preparing to send its own poll monitors.

Original post · 1 min read
He's going to steal the election. Be ready.
Molly Ploofkins @Mollyploofkins
Trump administration refuses international election monitors for first time in over 2 decades.

The decision not to invite observers from the OSCE puts the U.S. alongside Russia and Belarus, while the Justice Department prepares to deploy its own poll monitors.
ms.now/news/trump-midterms-osce-election-obser…
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AI7/10

Reflection AI Unveils Open-Weight Model to Rival Chinese Models

Becky Sosnov thanks CNBC for a segment in which Reflection AI CEO Misha Laskin discusses the launch of Beam, an open-weight model aimed at competing with Chinese models and the open versus closed debate.

Original post · 1 min read
Thanks for having us @andrewrsorkin
Squawk Box @SquawkCNBC
AI startup @reflection_ai is unveiling an open-weight model to rival Chinese models. CEO @MishaLaskin shares the details: cnbc.com/video/2026/10/06/reflection-ceo-misha…
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AI8/10

Suleyman Cites Acemoglu Estimate That AI Will Replace Only 5% of Tasks

AI won't take your job anytime soon. In 10 yrs, only 5% of what humans do will be replaced by AI

Mustafa Suleyman shares an essay from The Humanist Review in which economist Daron Acemoglu argues AI will replace about 5% of human work tasks over ten years and adds roughly 1.5% to GDP. Acemoglu calls for pro-worker AI and changes to labor taxes, antitrust and data payments.

Original post · 2 min read
X ArticleAI won't take your job anytime soon. In 10 yrs, only 5% of what humans do will be replaced by AI
AI won't take your job anytime soon. Over the next 10 years, it will replace only about 5% of what humans do.
This is the prediction Nobel laureate Daron Acemoglu makes in the first issue of The Humanist Review, our new magazine exploring the future of AI, published by MAI. He argues we need to stop building AI to replace people, and start building it to make them better at their jobs.
52% of Americans are worried about AI's impact on their jobs. The fear is overblown, and it's steering how we build AI.
AI isn't in the productivity statistics yet. Most firms using it aren't seeing real gains. Expect roughly 1.5% added to GDP over 10 years, not a revolution.
Electricity took decades to spread. New York and London had power stations by 1881, yet only about half of factories and homes used it by the 1920s. AI's adoption will likely be even slower, because companies have to reorganize around it.
Dragon's voice recognition was nearly 95% accurate in 1997, yet PC dictation today is barely better than in 2000. A great technology goes nowhere without the right products.
Even 99% accuracy isn't enough for full automation. The last 1% is the hard part.
We're making a mistake by forcing AI to mimic human intelligence. The two are fundamentally different, so the goal should be to pair them, not to have one take over everything.
The better path is pro-worker AI: tools that make people better at their jobs, and they're buildable today.
The US taxes labor at over 25% and capital at close to zero, which effectively subsidizes automation.
The seven largest tech companies make up 60% of the NASDAQ. That concentration crowds out new ideas.
The fix: tax labor and capital equally, enforce antitrust, tax digital ads, and pay experts for their data.
Read the full essay: humanistreview.ai/issue-1/acemoglu-ai-replace-…
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Grok Bot Guides Offer Playbooks for Building AI Teammates

Grok Bot Guides Offer Playbooks for Building AI Teammates

Ben Lang recommends asking a main Grok bot to review xAI's new Bot Guides and apply the best practices to one's own bots. The linked guides cover practical playbooks for AI teammates.

Original post · 1 min read
Pro tip: Tell your main @bot to go through the new guides and recommend best practices for your Bots

x.ai/bot/guides
x.aiGrok Bot · Grok Bot GuidesPractical playbooks for AI teammates.
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Open-Source Tool Rea Uses Agents to Reverse Engineer Binaries

GitHub - morluto/rea: Reverse engineer anything with agents, from app behavior down to native binaries.

A trending-repository post highlights rea, a GitHub project that uses agents to reverse engineer applications, from observed app behavior down to native binaries. It gained 2,963 stars in the past 24 hours.

Original post · 1 min read
Trending repository of the day 📈

rea

Reverse engineer anything with agents, from app behavior down to native binaries.

Last 24h: 2,963 ⭐
Total: 6,869 ⭐️
github.com/morluto/rea
github.comGitHub - morluto/rea: Reverse engineer anything with agents, from app behavior down to native binaries.Reverse engineer anything with agents, from app behavior down to native binaries. - morluto/rea
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Airbnb Defends Review Removals Amid Host Deletion Controversy

Pieter Levels criticizes Airbnb's review policy after the company stated that hosts cannot delete reviews, while hundreds of guests report removed reviews. He argues that removing reviews on host request undermines trust in the platform's ratings.

Original post · 1 min read
Airbnb just responded to "reviewgate"

The replies here are literally hundreds of people who got their reviews removed directly contradicting what Airbnb says here

The "policy" they have seems to be to remove a guest's review and rating whenever a host asks for it

I don't get why they don't just fix this? Everyone would love to see Airbnb have honest reviews and ratings you can trust

Short term you might get more bookings if everything is a 4.5 or 4.99 but long term people discover it means nothing and they can't trust your platform and they leave elsewhere

I think they're in some internal gridlock by MBAs who want to see revenue go up, not realizing that they're destroying a company

I hope they fix it!
Airbnb Help @AirbnbHelp
We remove reviews that violate our policies, and hosts can't delete them. Only guests who actually booked the stay can leave one.

Ratings on Airbnb skew high partly because we remove listings that fall short of guest expectations. twitter.com/levelsio/status/2107055382459732293
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How Avery Wang's Shazam Algorithm Identified Songs Without AI

Aakash Gupta explains that Shazam's 2002 system, invented by Stanford PhD Avery Wang, used spectrogram peaks, constellation maps and hash lookups instead of AI, and was published openly in 2003. Apple acquired the company in 2018.

Original post · 2 min read
Shazam could name any song back in 2002, on flip phones, with zero AI. You dialed the number 2580, held your phone up to the speaker, and hung up. 15 seconds later, a text came back with the song name. That same core trick still runs the app today.

The inventor was Avery Wang, a Stanford PhD in audio signal processing. His problem was brutal. Match a short clip recorded on a 2002 cell phone mic, in a noisy bar, against a database of a million songs, in seconds, over a phone call.

His solution treated music as geometry instead of sound.

The algorithm converts audio into a spectrogram, a picture of the song, then throws almost all of it away. It keeps only the peaks, the loudest frequency points at each moment in time. Bar chatter and blown-out speakers can wreck most of a recording. The peaks survive. Shazam only ever needed the peaks.

Those surviving points form what Wang called a constellation map, because it looks like a star field. Pairs of peaks get converted into hash numbers, and identifying a song becomes a dictionary lookup rather than an audio comparison. That made it fast enough to search a million tracks on 2002 hardware.

Wang published the full method openly in 2003 in a paper called "An Industrial-Strength Audio Search Algorithm." Anyone could read exactly how the magic worked. The moat was the database and the deals with carriers, never the secret.

Apple bought the company in 2018 for a reported $400 million. People have tagged over 100 billion songs since the very first one, Jeepster by T. Rex, during the beta in April 2002.

One deterministic signal-processing trick, written before most people had heard the phrase machine learning, and it's still so good that in 2026 everyone assumes it must be AI.
Nathan Ruff @TheNathanRuff
Dude, how did Shazam work 15 years ago without AI!?
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DHH Predicts Software Development Boom as Coding Agents Take Over

Over my dead pencil

DHH argues in an essay that falling development costs will spark a bloom in software creation and that coding agents now make hand-writing most code obsolete. He urges programmers to stop relying on pencils and start building.

Original post · 1 min read
"We're about to see an absolute bloom in software development as the price of development plummets and everyone realizes how much automation we still have left to do in this world... Don't go down with the pencils. There's so much to build. We need you." world.hey.com/dhh/over-my-dead-pencil-fb0f3647
world.hey.comOver my dead pencilTwo weeks ago at Rails World, I told my fellow programmers that it's time to put down the pencils. We're not going to write the vast majority of code by hand an
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Ohio's New Rome Dissolved Over Speeding Ticket Revenue

Aakash Gupta describes how New Rome, Ohio, and Macks Creek, Missouri, depended on speeding fines for most of their budgets, leading to dissolution in Ohio and bankruptcy in Missouri. Missouri subsequently capped ticket revenue at 20% of city budgets.

Original post · 2 min read
Ohio once dissolved an entire town because its main business was writing speeding tickets.

New Rome had 60 residents and a 14-officer police force. One cop for every four people in town. They collected around $400,000 a year in fines, 92% of the village budget, mostly by working a stretch of road where the speed limit dropped from 45 to 35.

A state audit then found the village was spending 82% of that budget on the police force. The town's only real industry was funding the thing that funded the town. In 2004 a judge ruled New Rome had effectively dissolved itself through corruption and erased it from the map. Its land got absorbed into the neighboring township.

Missouri ran the same experiment with Macks Creek, population 272, sitting on the highway to Lake of the Ozarks. The town wrote 2,900 tickets a year. Eight a day, almost all tourists who would never drive back to fight them. More than 75% of town revenue came from fines.

Then an officer there pulled over a state legislator. He went back to the capitol and passed a law capping how much of a city's budget can come from traffic tickets. Macks Creek lost its revenue stream, went bankrupt, laid off its entire police force, and disincorporated. The IRS seized the town's bank account.

Speed traps cluster wherever a highway full of out-of-towners meets a sudden limit drop in a state that lets the town keep the money. Missouri now caps ticket revenue at 20% of a city's budget. Ohio had to pass a law aimed at one specific village.

A speeding ticket heatmap doubles as a map of who's allowed to keep the fine money.
Terrible Maps @TerribleMaps
Where you’re most likely to get a speeding ticket in the U.S.
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Deedy Explains Shazam's Spectrogram Peak Hashing Method

Deedy Explains Shazam's Spectrogram Peak Hashing Method

Deedy outlines how Shazam extracts high-amplitude spectrogram peaks, hashes them with timestamp and track ID, and performs recognition via a hash table lookup. He notes that his college CS class built a version and recommends the original paper.

Original post · 1 min read
The serious answer to how Shazam worked is it took the peaks of a spectrogram of short clips of every song, find the peaks from the highest amplitude bits, hash it with the value being (time stamp, track id) and then the actual recognition is a hashtable lookup.

We did this for a college CS project. The original paper is fantastic:
Nathan Ruff @TheNathanRuff
Dude, how did Shazam work 15 years ago without AI!?
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Abhishek Basumallick Calls for Treating Indian Hospitals as Utilities

Abhishek Basumallick Calls for Treating Indian Hospitals as Utilities

Abhishek Basumallick argues that the corporatization of Indian hospitals should be stopped, criticizes the U.S. healthcare model, and proposes regulating hospitals as public utilities with fixed returns like power companies.

Original post · 1 min read
The corporatisation of Indian hospitals should be nipped in the bud. The US healthcare model is a completely broken one

Hospitals should be treated as public utilities. Power companies have a fixed RoE. Why not follow the same model for hospitals?
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Parker Smith to Host Workshop on Proactive Bot Features

Lauren recommends following engineer Parker Smith, who is hosting a workshop on how proactivity has enhanced bot performance. Smith's registration post links to a Luma event page.

Original post · 1 min read
.@parkersmith is a 🐐ed engineer, give him a follow and don't miss this workshop!
Parker Smith @parkersmith
Sign up to hear the latest on @bot! I'll be sharing some of the ways proactivity has supercharged @bot, should be a good time :)

luma.com/i8kb4e79
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Amazon Shuts Down Consumer Agent Access, Analyst Calls It Short-Sighted

Olivia Moore argues Amazon's decision to block consumer AI agents is rational near-term, citing advertising margins and Prime lock-in, but says it is a mistake long term because agents are inevitable for low-consideration purchases.

Original post · 1 min read
Amazon shutting down consumer agent access (now both Muse and Instinct) is both completely rational and a big mistake

They have plausible reasons:

1. Advertising accounts for ~10% of Amazon revenue, but an estimated 50-60% of operating profit because it's so high margin. People purchasing via agents = fewer consumer eyeballs to monetize

2. Amazon knows from experience how dangerous it is to give another platform a lever to ramp up / down your distribution 👀 They've done this to many retailers themselves

3. They are in a very good spot re: near-term defensibility - with ~250M Prime subs (who are habituated to buying on Amazon) + a massive logistics and distribution network that you can't vibe code

However, this logic is short-sighted (IMO). Agents are inevitable, especially for the kind of purchases people make on Amazon (low consideration, frequent, fairly urgent or recurring).

I don't think Amazon is going to come out with a first-class consumer agent on their own...and in the meantime, why anger your valuable users and make them even consider alternatives?

It's almost never a good idea to be on the wrong side of innovation. I'd much rather see them continue to greenlight agent traffic (it's pretty minimal now!) and work on adjusting to an agent-first world in the meantime.
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Huawei and Qualcomm Sign Broad Patent License, Cross-Licensing Deal

Huawei and Qualcomm announced a multi-year patent license agreement with cross licenses covering 5G, compute, AI and networking, plus Qualcomm's purchase of certain Huawei U.S. patents. Arnaud Bertrand calls it a notable outcome given U.S. efforts to cut Huawei out of those fields.

Original post · 1 min read
This is genuinely incredible: Huawei survived the most aggressive assault against a single company in modern history and is coming out the other side with the U.S. licensing its technology.

And ironically in the exact domains - 5G, AI, compute, networking - that the U.S. tried to cut Huawei out of.
Huawei @Huawei
Huawei and Qualcomm have announced a multi-year, broad patent license agreement that includes cross licenses to the companies' patent portfolios across a range of fields, including 5G, compute, AI, and networking, together with Qualcomm's purchase of certain Huawei U.S. patents.
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