gpus and tractors. Neural networks from Scratch book: https://xitter.cf/t.co/hyMkWyUP7R https://xitter.cf/t.co/8WGZRkUGsn
Alabama, USA
Joined May 2013
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The memory and copious dopamine of damp, stand, walk, after you built your Asimov piece by piece, is something you will never forget.
Every great machine begins on a workbench. Now you can build a humanoid robot on yours. docs.menlo.ai/
luckily havent had any issues with my Dell equipment, but I hear nothing but good things about their after-sales service for things like RMAs
you can buy a whole dell workstation with an RTX Pro 6K WS inside of it for less than most places will sell you just the pro 6k
dsv41f-1017 has literally changed my life. I can't even remember what life was like before it and, tbh, I don't want to.
Harrison Kinsley retweeted
DeepSeek V4.1 Flash 1017 scores 45 on the Artificial Analysis Intelligence Index, improving on DeepSeek V4.1 Flash by 6 points, and is the equal #2 open-weights model
@deepseek_ai has released DeepSeek V4.1 Flash 1017, an update on their flagship model DeepSeek V4.1 Flash. On the first-party API, DeepSeek V4.1 Flash 1017 is priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens during peak hours, with off-peak pricing half of peak rates, the same pricing as DeepSeek V4.1 Flash.
Key results:
➤ DeepSeek V4.1 Flash 1017 makes gains in agentic capabilities, knowledge and scientific reasoning. DeepSeek V4.1 Flash 1017’s Elo rating on GDPval-AA v2.1 is 1746, an increase of 146 points from DeepSeek V4.1 Flash’s rating of 1600. On AA-Briefcase v1.1, its Elo rating increases by 150 points from 1420 to 1570. On AA-Omniscience, its non-hallucination rate is 33%, a 29-point improvement from DeepSeek V4.1 Flash’s 4%, while seeing an improvement in accuracy from 43% to 46%, pushing its overall AA-Omniscience Index score from -5 to +5. On CritPt, DeepSeek V4.1 Flash 1017 scores 24%, up from 14% for DeepSeek V4.1 Flash.
➤ DeepSeek V4.1 Flash 1017 is now the #2 open-weights model alongside GLM-5.3. With a score of 45 on the Artificial Analysis Intelligence Index, DeepSeek V4.1 Flash 1017 is behind MiMo-V2.6-Pro by only 1 point and ahead of other open-source models like Step 5 Preview and Kimi K3 (both at 44).
➤ With a Cost per Task of $0.26, DeepSeek V4.1 Flash 1017 sits in the most attractive quadrant of Capability vs. Cost. With a Cost per Task of $0.26 and Intelligence Index score of 45, DeepSeek V4.1 Flash 1017 compares favorably to GLM-5.3-Flash at $0.28 per task and a score of 42. At the same time, MiMo-V2.6-Pro (46) at $0.13 per task and GPT-6.1 Sol (medium, 48) at $0.21 per task both offer higher capability at a lower Cost per Task.
Additional model details:
➤ Context window: 1M tokens (equivalent to DeepSeek V4.1 Flash)
➤ Pricing: $0.30 per 1M input tokens and $1.20 per 1M output tokens, unchanged from DeepSeek V4.1 Flash. Cache hit price of $0.006 per 1M tokens, a 98% discount
➤ Size: 552B total parameters (16B active)
➤ License: MIT
➤ Providers: Available through DeepSeek’s first-party API, @FireworksAI_HQ , @baseten, @DeepInfra , @wafer_ai , @Cloudflare and others
Back when i used idle as my editor, i would frequently scroll up to find the correct indent level, hold the cursor there, then scroll down to make sure i was at the right indentation
coding. but I will put this on the @sourccey too to see how it does. I imagine it'll be good there too though. DSV4.1F was almost better than GLM 5.3F, so this will likely push it over the edge.
yea but that guy wouldn't show up. he doesn't do just any podcast. research is done to make sure it's gonna be fluff ;)