code generation

GitClear is a developer-friendly code review tool that aims to deliver higher developer satisfaction and faster releases. Check out their blog or find them on GitHub.

GitClear’s research focuses on how AI code-gen tools have impacted code quality (and not in a good way).

Find Bill on LinkedIn.

Chapters

00:00 Introduction 

00:30 Background of the Research

06:09 Business Model of GitClear

09:46 Copy Pasted Code

10:26 Churn Code

12:21 Code Readability

14:12 Code Suggestions and Auto-Completion

16:34 Drop in Moved Code

23:18 Larger Token Windows

26:31 Improving Gen AI

28:46 Conclusion

This Week in Startups is presented by:

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Today’s show:

Jason is joined by Magic.dev CEO and Co-Founder Eric Steinberger to discuss how his startup makes developers more efficient with AI by auto-generating code. The first portion of the interview features Eric demoing his software. Then, Jason and Eric dive into the impact that these rapid AI advancements will have on society (31:28), how their tools have the potential to significantly minimize coding time and what that means for entrepreneurship (13:55), and much more!

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Time stamps:

(00:00) Eric Steinberger joins Jason

(1:44) Eric and Jason explain what Magi.dev is

(3:43) Eric Demos Magic.dev

(9:13) What makes this AI model unique

(11:02) Crowdbotics - Get a free scoping session for your next big app idea at ⁠http://crowdbotics.com/twist⁠

(12:11) Magic.dev's motivation behind building their own language model

(13:55) The efficiency gains achieved with Magic.dev

(17:32) Exploring reinforcement learning and grounding the AI model

(19:45) Microsoft for Startups Founders Hub - Apply in 5 minutes for six figures in discounts at http://aka.ms/thisweekinstartups

(21:19) The two parallel paths unfolding

(23:57) How close we are to developing more capable AI systems

(31:28) The impact of Moore's Law on technology and society

(37:34) Release - Get your first month free at ⁠https://release.com/twist

(39:03) Alternative perspectives on the pace of AI advancement

(43:14) The origins of Eric's positive outlook on AI

(47:49) Thought's on AI regulation and choke points

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Our 62nd Last Week in AI episode with a summary and discussion of last week's big AI news! On this episode, more controllable GAN, more controllable language models, AI for wildfires and reading lips, being critical of human oversight of AI, surveillance by AI in China, and some fun AI weirdness.

This week:

• Google Survey Explores Methods for Making DL Models ‘Smaller, Faster, and Better’

• Machine learning models that detect COVID-19 on chest X-rays are not suitable for clinical use

• GitHub and OpenAI launch a new AI tool that generates its own code

• What’s Going on With Amazon’s “High-Tech” Warehouse Robots?

• How Twitter hired tech's biggest critics to build ethical AI

• LinkedIn’s job-matching AI was biased. The company’s solution? More AI.

• GAN Theft Auto is a snippet of GTA 5 made by AI

Find this and more in our text version of this news roundup:  https://lastweekin.ai/p/122

Music: Deliberate Thought, Inspired by Kevin MacLeod (incompetech.com)