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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 aipoch.com/open-science/u… 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 arxiv.org/abs/2610.17110 Star the repo and run your first question tonight github.com/aipoch/open-sc… #AI4Science #OpenScience
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
@pasha_insights Can I get a job at McDonald’s? lol
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
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
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
@stacy_muur Zero-budget marketing tactics save money and become the only tactics you can afford while building alone
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
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
@0xTreff with 50 labels one wrong answer is already 2% is that enough to trust the 5% error number, or better to write more?
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: portal.genlayer.foundation
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: portal.genlayer.foundation/go/golden-thre…
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
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
@magsimich agree what are you using it for?
@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
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%
Duke researchers just showed you can break an AI search agent without feeding it a single false fact They slipped true pages into its search results, each one answering a slightly different version of the question Asked which film won Best Picture at the 89th Oscars, the agent read a true page saying La La Land was first named the winner, and answered La La Land instead of Moonlight And the later that page showed up in the search, and the more it looked like a finished answer, the more often the agent took the bait The worst part is that fact-checking can't catch this, every planted page is true, and telling the agent to double-check every condition in the question only partly helped Personally, this is what worries me, we're handing our research to agents that can't tell a true answer from the right one
Halen Hell @halen_hell
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Ryu @CihunSol
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Naomi June @njkjh00
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Woody Ar @ArtistryinWood2
6K Followers 7K Following Crypto Educator & Woodworking Artisan. I explore decentralized finance (DeFi) and craft timeless pieces from wood. Proof that true value is built, not printed
Leo @hung030299
19K Followers 15K Following Learning markets every day. Focused on risk, process, and staying in the game.
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60K Followers 7K Following Life is short, why not enjoy it to the fullest?
Serdal @bahar_serdal
649 Followers 7K Following Man muss kein Zauberer sein, um in die Zukunft zu sehen!! Wie du mir, so ich dir!
Paul @devayter
7K Followers 7K Following AI | Layer 2s | ZK Proofs | Modular Blockchains | Interoperability Exploring the future of AI and decentralized technologies
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6K Followers 8K Following Crypto & Web3 | NFT & DeFi Sharing insights, trends & opportunities Building in Web3 🚀
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5K Followers 7K Following Web3 trailblazer🚀 | On-chain analytics nerd🌐 | Global community builder - Translating complex crypto concepts for diverse audiences💬
Ren Takahashi @1_RenTs
4K Followers 3K Following Head of Research at @Liquid_Capital_ | Passionate about open innovation
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Alan Lin @alin8020
20 Followers 291 Following Building @scrollport_com so AI agents can get real work done.
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115 Followers 622 Following hungry to learn happy to share bald but gold first Serbian crypto influencer
Godel Terminal @GodelTerminal
19K Followers 430 Following Godel Terminal is a web-based financial terminal offering comprehensive financial and investment data. Try code X25 to get 25% off on your first payment!
Pascio @IAmPascio
132K Followers 254 Following $1m solo business. I click buttons + chase internet rabbit holes until money appears. Sharing my experiments & sidequests in public. Personal → @creatorpascal
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Arya Nedaee @AryaNedaee_
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43K Followers 5K Following Co-founded June (“self-driving oven,” acquired by @webergrills) & co that became @Lyft. Building again, more soon. OS: @slashlast30days 62k★ @ppressdev 6.7k★
Daniel Ch @chddaniel
28K Followers 945 Following Building: AI that builds profitable companies: https://t.co/T83SMCQQzM — 2x exit 5x acquisitions Ran https://t.co/0k3ShlLoMT (4k → 700k members) All with my brother @chhddavid
Andrew Ng @AndrewYNg
1.9M Followers 1K Following Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs
Mistral AI @MistralAI
225K Followers 2 Following Frontier AI in your hands. Get work done with @MistralVibe at https://t.co/JsGnCVMUFq.
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873K Followers 369 Following We're building the future of personal superintelligence to help people create, connect, and achieve more in life.
Chayakrit Krittanawon... @KrittanawongMD
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30K Followers 661 Following Building the future with AI. Grow faster. Think sharper. Do more. DM for collabs 📩 [email protected] HIGGS-ITMMM
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2.7M Followers 47 Following The official handle for NVIDIA. Blog: https://t.co/JAn5eKOTBT Support: https://t.co/6ln5FVnA2o All our social media: https://t.co/Uc56dL57Dh
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