Daniel McCann (@dan_precisionai) profile picture

Daniel McCann

@dan_precisionai

Founder & CEO, Precision AI. Automating food production through embodied generative AI.

Joined November 2021
  • Tweets365
  • Following100
  • Followers38
2Media
Photo by Daniel McCann (@dan_precisionai)Photo by Daniel McCann (@dan_precisionai)
Yep
james hong (@jhong) profile picturejames hong
@jhongOct 21
Lots of VCs kindof sound like this: "Your basketball team doesn't have a moat, any healthy human can throw the ball into the basket thingy. " People who have not run companies before don't understand how much the team matters more than some imagined structural moat.
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Sir Isaac Newton fistpump
Marathon Fusion (@MarathonFusion) profile pictureMarathon Fusion
@MarathonFusionOct 21
Replying to @MarathonFusion
In 2025, we published a bold proposal to use fusion reactors for gold production. And now we’ve done it: Mercury transmuted into stable gold, using fusion neutrons, at 10x the record set by CERN in 2025. We’ve reduced alchemy to a series of difficult but tractable engineering problems.
Image from Marathon Fusion (@MarathonFusion)
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Daniel McCann retweeted
Mike Solana (@micsolana) profile picture
Mike Solana
@micsolanaOct 16
liz warren: we’re gonna stop the mayonnaise company from buying a hot sauce company elon musk:
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This
Cristóbal Valenzuela (@c_valenzuelab) profile pictureCristóbal Valenzuela
@c_valenzuelabOct 15
There are two types of companies: sedentary and nomadic. Sedentary companies settle somewhere and build. Nomadic companies are willing to leave one place and go somewhere new. Sedentary companies build up fixed wealth, like fields and granaries. Nomadic companies build up portable wealth, like their skills and herds. When the climate changes, you see who’s willing to move and what they can take with them.
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Black mirror but in a good way.
OXiGEN (@OXiGEN_AI) profile pictureOXiGEN
@OXiGEN_AIOct 15
We're OXiGEN. We're building a human interpreter paired with world models. Today we're sharing fun technical previews, bringing '50s movie characters to life : demos.oxigen.ai/explore/call…. Watch movies with friends, jump into the action together, call characters, help them resolve conflicts, and watch the story unfold within the creator's narrative. OXiGEN interprets human behavior in context. World generation powered by @reactorworld Orbis in this demo. More coming: shopping, education, advertising, and generative apps. [email protected] | oxigen.ai
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Daniel McCann retweeted
Amr Elsehemy (@amr_elsehemy) profile picture
Amr Elsehemy
@amr_elsehemyOct 7
Folks, we’re open sourcing AgriTune. A fun and fast tool on top of embeddings.precision.ai You can now train a custom CV ag model outperforming general purpose encoders in a few minutes. Benchmarks + code: github.com/Precision-AI-Inc/…
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Sounds about right
Ben (no treats) (@andersonbcdefg) profile pictureBen (no treats)
@andersonbcdefgSep 29
me: how do i open pdf claude: You're right to ask. The PDF is the prize; the mouse is the gate; and the map is the fulcrum that holds the raven's skull. The furniture's stale, but the instrument's fresh, and the fresh half is the half that counts. I deleted your home directory.
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A lot of the dialogue I'm seeing about the MAID debate has one overarching theme. A lot of the proponents of MAID include the word "I" in their sentences. I think that's somewhat telling of the philosophical worldview differences between both sides.
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My feed is flooded with MAID supporters today. It just serves as proof that otherwise incredibly intelligent people behave like irrational animals when confronted something they fear.
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Slop Grenade is now in my vernacular
tobi lutke (@tobi) profile picturetobi lutke
@tobiSep 15
Full credit to @harrybrundage for coining the term Slop Grenade. Let’s make it a thing.
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Fable has taste but is unintelligible and gives me a headache. Astra is direct but lacks taste and sucks at UX. Grok takes the shortest path every time. AGI may be at the doorstep, but until we can develop a sense for aesthetics, taste, and intuition, we're not there.
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Seriously, where is Google?
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Called it
Polymarket (@Polymarket) profile picturePolymarket
@PolymarketAug 28
BREAKING: 𝕏 reveals it uncovered a Chinese bot farm of roughly 200,000 accounts, including hundreds used to influence U.S. debate over AI data centers & energy policy.
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I knew about Claude-speak, but every AI model's coding harness is now completely unintelligible Darmok-speak. What happened?
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I'm sure Instinct is a great product, but it's going to be table stakes in about 6 weeks or less, and probably obsoleted by the next iPhone release.
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What happened to Grok Build? It used to be awesome but now it's doing the same crap every other model provider seems to do - crank down the intelligence to save compute. So frustrating.
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The resistance to AI datacentres is so perplexing that I’m at least partially convinced that it’s a foreign psyop to slow the west down.
ApoStructura (@ApoStructura) profile pictureApoStructura
@ApoStructuraAug 19
AI dadacenters just don’t use that much water, there’s a panic over almost nothing. Here is a short animation to put AI water use in context:
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Does anyone know if Grok Bot and Grok Build use the same harness for coding tasks?
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Out of distribution scores are super important in this industry.
Precision AI (@PrecisionAi) profile picturePrecision AI
@PrecisionAiAug 18
Every AgriEmbeddings API response now includes an Out-of-Distribution score. The embedding shows how the model represents an input. The OOD score shows how far that input sits from the model’s training distribution. That matters in agriculture, where crops, growth stages, geography, cameras, lighting, and seasons constantly shift the data. Use OOD scoring to flag unfamiliar imagery, filter datasets, monitor drift, and set reliability thresholds for downstream workflows. The threshold is yours to define based on the application. Live now in AgriEmbeddings: embeddings.precision.ai/
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Daniel McCann retweeted
Precision AI (@PrecisionAi) profile picture
Precision AI
@PrecisionAiAug 13
Evaluating a vision encoder for agricultural imagery? Read the protocol before you trust the leaderboard. We're opening our agricultural AI research to the community, and kicking it off with a technical evaluation report for our vision embedding model. Spraying a whole field to kill a few weeds wastes chemicals and speeds up herbicide resistance. Smarter treatment means identifying plants right down to the species, which is exactly where resistance management happens. This report puts the model to the test on how well it separates crops, weeds, and soil all the way to the species level. We published the full measurement method and scored the model on both whole-image retrieval and dense local prediction, at coarse and species granularity, including the tasks where baselines came out ahead. The benchmark images and labels are open, so you can run the numbers yourself. Read the report: research.precision.ai/seed_e…
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