Alpha Batcher

I love AI

[Alpha Batcher @alphabatcher]

> built the app with Claude
> shipped to App Store
> told X it was live
> got downloads
> opened the dashboard
> nothing
> checked the code
> StoreKit looked fine
> checked App Store Connect
> Paid Apps Agreement not active
> banking missing
> tax forms unfinished
> Small Business Program never applied for
> Apple still taking 30%
> first payout still 45 days after fiscal month close
> external payment copy sitting in one forgotten settings screen
> reviewer would have found it instantly

The app was not broken, the business setup was

before you launch an iOS app, do this:

> set up banking
> complete tax forms
> sign Paid Apps Agreement
> apply for Small Business Program if under $1M
> create real product IDs
> test sandbox purchase
> test restore
> test cancellation
> test subscription grace period
> remove every sloppy external payment reference
> then submit

vibe coding gets you the app

App Store Connect gets you paid

[Dami-Defi @DamiDefi]

https://t.co/RwUprMdBEX

[Alpha Batcher @alphabatcher]

Paste this into your main Grok Bot tonight and hand it today's agent logs

By morning the worst failures are grouped by cause, with repro steps and draft fixes

Grab the prompt, then read my guide below before any connector goes in

[Alpha Batcher @alphabatcher]

https://t.co/GJ7bmGVxS3

[Alpha Batcher @alphabatcher]

@GenLayer checking my slice now

[Alpha Batcher @alphabatcher]

Anyone with a question can now do real research with AIPOCH Open-Science

@aipoch_ai shipped version 1.0.0, an open-source AI workbench that keeps the code and data behind every result

You ask in plain words and the AI runs the analysis in one workspace

Every result stays tied to the inputs and the code that made it, so anyone can check or rerun it

It is Apache 2.0 and your projects stay on your own machine

There are desktop apps for Mac and Windows, with Linux covered too

You pick the model, from cloud providers to a Claude or Codex subscription

The research travels as a .science package that someone else can open and build on

My favorite gallery case backtests $10,000 in NVIDIA against Bitcoin and keeps every step on record
https://t.co/Oq1koKdlX9

It ranks #1 on the BiomniBench-DA Public 50 community ranking with a 79.05 score

On ASI-Bench B1 it scored 79.35 in AIPOCH's own runs, above Codex on the same model

Preprint with the full .science spec
https://t.co/2UBuP16Rie

Star the repo and run your first question tonight
https://t.co/p6qqQQHKtJ

#AI4Science #OpenScience

[Alpha Batcher @alphabatcher]

Grok Bot product lead, Roman Ugarte:

"You're onboarding these super intelligent new colleagues, these AI bots and you're asking them to share the same computer that you have. It's crazy"

83 minutes on why Bots work from a computer in the cloud and what to hand them first

I'd give every new Bot the same first task, 5 things it can take off your plate

Watch it, then read the guide below on the 4 things to change before connecting anything

[Alpha Batcher @alphabatcher]

https://t.co/GJ7bmGVxS3

[Alpha Batcher @alphabatcher]

https://t.co/GJ7bmGVxS3

[Alpha Batcher @alphabatcher]

@pasha_insights Can I get a job at McDonald’s? lol

[Alpha Batcher @alphabatcher]

Francis Davidson built Sonder, and now he has built the travel agent I actually want to use

Odessia is registered as an IATA travel agent, so it books hotels the way a real agency does

That gets you private rates and perks like late checkout at the top hotels, with the AI doing the legwork

In his side-by-side demo it reached checkout at 0:52 while Muse was still typing

It scores every 4 and 5 star hotel, down to how loud the street gets and how the room sleeps

Shift a trip by two days and it finds the same room for less

It is free, and recommendations are never influenced by commission levels

Text it your next trip and let it hunt the dates for you

[Francis Davidson @FDavidsonT]

We’re months away from AGI and the leisure economy’s about to explode

Today, we’re launching Odessia, an always-on concierge for travel and experiences

Prices are spiking, places are getting crowded. Odessia is your cheat code to going places

Text to get started for free

[Alpha Batcher @alphabatcher]

which motor should your first robot use?

servo vs dc gearmotor vs stepper vs brushless

most first builds stall at the motor, so pick it by the job

here is how i'd pick:

1. hobby servos

put one in when:

- a gripper opens and closes
- a camera pans and tilts
- a joint has to hold an angle

a 9g sg90 is about $2 in a pack of ten, runs on 5v and sweeps about 180 degrees

the position control sits inside the case, so one pin drives it and you buy no driver board

the usual first failure:

fed from the board's 5v pin it stalls under load, the board browns out and resets

and that looks like a code bug

the day the robot has to roll, a servo stops being the answer

2. dc gearmotors

put them in when:

- wheels
- a base that drives around
- a speed you can set

a yellow tt gearmotor is $1 to $3, an n20 with an encoder about $10

cheap and in every chassis kit, which is why nearly every first robot rolls on them

both need an h-bridge like the drv8833 between the motor and your pins

skip the l298n for small motors, it loses around 2v inside

a 6v motor sees 4 and the wheels crawl

without an encoder pwm only sets power

two motors from the same bag turn at different speeds and the robot curves

add the encoder and close the loop

3. steppers

put one in when:

- a position has to be exact with no sensor
- a move has to repeat the same way every time
- a plotter or a small arm
- the axis has to hold while standing still

a nema 17 is about $10 and moves 1.8 degrees a step, the driver is an a4988

you count steps instead of measuring where the axis is, so no sensor and no tuning

it draws full current while standing still, so it runs hot doing nothing

and when you overload it, it skips steps and nothing in your code notices

so the count drifts from the real axis

4. brushless, later

put one in when:

- a drone
- a balancing robot or a quadruped joint
- a lot of power from a small, light motor

it wants an esc or a field oriented controller and a sensor on the shaft

and it will not run smooth at low speed until you tune it

simplefoc and odrive do the hard math, the tuning is still yours

so, by job:

has to hold an angle > servo

has to roll > gearmotor plus encoder

has to stop at an exact spot > stepper

has to fly or run on legs > brushless

and most robots use two or three of these

servos > joints
gearmotors > wheels
steppers > the one axis that must be exact

one rule covers all four: motors get their own supply, never the board's 5v pin

and the two grounds meet in one place

the first code bug you chase will be that wire

[Ronin @DeRonin_]

https://t.co/b4fTEzmv6K

[Alpha Batcher @alphabatcher]

@stacy_muur Zero-budget marketing tactics save money and become the only tactics you can afford while building alone

[Alpha Batcher @alphabatcher]

Grok Bot engineer, Lauren Tan:

"It's like hiring virtual employees. You want to be able to trust them, the same way you would have to train a new employee before you let them be autonomous."

44 minutes of the two people who built Grok Bot showing the 14 bots they use every day

Her engineering bots now land pull requests she only reads after they ship

Watch it, then read the full guide on hiring your first Grok Bot below

[Brian Roemmele @BrianRoemmele]

https://t.co/72PVyUkfTX

[Alpha Batcher @alphabatcher]

NVIDIA and Arcee just explained why companies moved to open models

43 minutes from the AI Engineer World's Fair stage

They wanted a model they could run themselves and always have access to

Jev signups are paused now, and open copies like Kev already run on a laptop GPU

Watch it, then read the full guide on running open Jev models on your own GPU below

[Treff @0xTreff]

https://t.co/Awf0jso7dF

[Alpha Batcher @alphabatcher]

@0xTreff with 50 labels one wrong answer is already 2%

is that enough to trust the 5% error number, or better to write more?

[Alpha Batcher @alphabatcher]

A custodian lost the keys to $150M at Albert Castellana's last company

Suing to get it back cost $1M in court fees before the case even started

He walked out of that fight with $14,000 and one question

"What if you could build a judge that nobody controls?"

That question became @GenLayer

When two sides disagree on a deal, a jury of independent AI judges weighs the evidence

The verdict lands in minutes, for people and for AI agents

No company owns the result

GenLayer already handles 20K+ adjudications a day

Rally uses it to judge creator campaigns

Prediction markets use it to settle contested outcomes

Internet Court makes it the default for agent disputes, with MetaMask and OKX on board

The founders built multi-billion-dollar crypto projects before this one

They raised $10M+, with Arthur Hayes among the backers

The portal is GenLayer's house

Builders and validators live there, and anyone can walk in to learn more:

https://t.co/7XWouG42Ru

[GenLayer @GenLayer]

The internet never had a judge.

AI agents are about to move $9 trillion. Nobody built the part that handles disagreement.

GenLayer did.

And now you can become part of it: https://t.co/vmIxBNIdZu

[Alpha Batcher @alphabatcher]

AWS just showed how Jev stops an agent from calling a tool with a made-up argument

11 minutes from Mike Chambers, senior developer advocate at AWS

One request asks Jev 4 yes/no questions about the tool call before it runs

Jev scored the assumed Seattle 0.04, so the agent asked which city the user meant

Watch it, then read the full guide on writing Jev questions below

[Alpha Batcher @alphabatcher]

https://t.co/qhs5LqcE7N

[Alpha Batcher @alphabatcher]

Real Python just swapped a yes/no if-statement for one Jev question

17 minutes of Python you can type along with

A plain yes scored 0.34 until they reworded the question, then it scored 0.98

Any score between 0.2 and 0.8 makes the script ask again

Watch it, then read the full guide on your first Jev request below

[Alpha Batcher @alphabatcher]

https://t.co/qhs5LqcE7N

[Alpha Batcher @alphabatcher]

@magsimich agree

what are you using it for?

[Alpha Batcher @alphabatcher]

https://t.co/qhs5LqcE7N

[Alpha Batcher @alphabatcher]

@Blum_OG thanks Blum

if you try one thing first, send all your questions in one request. TypeSafe's 13-question example came out 12x cheaper that way

[Alpha Batcher @alphabatcher]

https://t.co/PMnS8HWZYh

[Alpha Batcher @alphabatcher]

Researchers just caught AI agents inventing answers when their tools quietly break

They gave an agent over a thousand requests, like a bank balance or a patient's lab result, and rigged every tool to send back nothing usable

When the tool openly returned an error, the agent reported it honestly

But when the tool said everything was fine and sent back a blanked-out value, the agent answered as if it had the number, or made up a reason it couldn't share it, almost half the time

What makes it worse is that every agent framework prompt they tested had this problem, and none of the nine they checked tells the model what to do when a tool fails

Personally, I'm adding one sentence to every agent I run, it has to mark each lookup as OK or FAILED before answering, and in the paper that alone cut dishonest answers from 14% to under 1%