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Ben Tossell
@bentossell
can't code, won't code. builder, investor (dev tools/infra) @supabase @etched @factoryAI @sfcompute. 3 ๐Ÿ‘ถ under 4.
588 Following    201.5K Followers
dot - meeting starting now grok bot - your meeting is now poke - meeting now instinct - jump on that call now openai meetings plugin - meeting take notes? granola - join zoom + take notes dia - join zoom technically i shouldnt miss any meetings now. im late because of this tweet ffs
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7 days until Supabase Select. i'm giving away 3 free tickets Comment below why you want to come to Select 26 to enter the giveaway.
taste comes from what you like plus what the tools enable us to do humans will continue to make amazing things with ai
never been a better time to be a chronically online idea guy
who's forehead do i kiss for 5.5 medium?
Big Token hates this one simple trick! Dynamic model routing allows for a more efficient free market across the model providers. This puts pricing pressure on them to provide the best/fastest/cheapest tokens for any given task, lest the tokens get routed to a competing model.
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Introducing Teams. Bring Factory to your whole engineering team. With Teams, you can now add multiple users to a self-serve plan with centralized billing. Delegate bug fixes, tests, and migrations to Droids while your team focuses on what to build next.
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Announcing: the @a16z Ops Engineering Fellowship โš™๏ธ Because: operations (along with everything else??) is becoming something best approached with an engineering mindset. We've been tracking this space closely, and are seeing a new kind of builder emerging inside companies... They connect internal systems, build agents, and redesign workflows across finance, sales, support, and everything between. @levie calls them "Internally deployed FDEs".. others say "AI Operations", "Agent Engineer"... I don't think anyone's agreed on the title yet, but there's something interesting going on - which to me means it's a good time to get the people who are at the frontier .. applying an engineering mindset to re-thinking how companies operate in an AI-native way - together. So: We're launching the a16z Ops Engineering Fellowship: bringing ~50 internally deployed engineers and AI-pilled operators to together over 6 weeks in San Francisco and NYC (+ group chats). There's a killer crew involved already - Claire Vo (@clairevo) is joining as a Founding Fellow, as is Sebastien Goddijn (@sebgoddijn) - who built Glass at Ramp; Owen Williams (@ow) at Stripe; Ann Miura-Ko (@annimaniac) - deep in the trenches of AI-pilling operators via Floodgate; Brandon Gell (@bran_don_gell) - COO at Every; TK Kong (@tkkong) - who helped start Ramp Labs; Matt P (@MattnPortnov) - leading internal AI at Decagon; and several more we can't include in the announcement (but watch this space ๐Ÿ‘€)... For now: Asking X 1- Who is leading "Ops Engineering" (or whatever you call it) at your company? 2- Who do you respect in this space, who should we know about, absolutely must have join the cohort and/or join us for a dinner ? Tag below, DM me - 3- or apply below ! ๐Ÿ‘‡๐Ÿ‘‡
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50 years of devices. save which you had or wanted Astra image-gen'd all the devices + built the site inspired by (i'd one-shot a collection of devices a few weeks ago and had no idea what to do with it, so this sparked my adaption)
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lol jk i dunno what model or harness to point at what rn
now i can finally get all my work done
now i can finally get all my work done
Opus 5.5 is live in Factory. Some initial observations: / Medium is a strong default / 20โ€“25% fewer output tokens than @AnthropicAI Opus 5 at the same effort / Clear, actionable answers on long investigations Try it now:
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just added a live leaderboard ๐Ÿฅ‡ game boy colour ๐Ÿฅˆ discman ๐Ÿฅ‰ game boy / playstation / nokia 3310 only 1 person had the pokewalker ๐Ÿ’”
50 years of devices. save which you had or wanted Astra image-gen'd all the devices + built the site inspired by (i'd one-shot a collection of devices a few weeks ago and had no idea what to do with it, so this sparked my adaption)
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50 years of devices. save which you had or wanted Astra image-gen'd all the devices + built the site inspired by (i'd one-shot a collection of devices a few weeks ago and had no idea what to do with it, so this sparked my adaption)
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Meet Husky: a Model-Specific Inference (MSI) engine up to 4.5ร— faster than Apple's MLX Woof, Underdog's Pareto frontier model, now runs up to 730 tokens/sec on a MacBook Finally local models are as fast & capable. Try it now in - your personal private AI
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til you can play snake on @ChatGPT while waiting for images
if theyโ€™re all aligned iโ€™ll never be able to centre a div
Design words - select styles and see a preview. copy the prompt for your agent (lots more work to do! feedback welcome)